Abstract:
Displaying a preference by a first user of a content contribution submitted by a second user is disclosed. A preference event by the first user is detected. A plurality of detected events is stored. In response to a query from a client, at least a portion of the stored detected events is produced. At least a portion of the received events is caused to be rendered graphically.

Description:
CROSS REFERENCE TO OTHER APPLICATIONS 
     This application is a continuation of co-pending U.S. patent application Ser. No. 11/474,103, filed Jun. 22, 2006 and entitled EVENT VISUALIZATION, which is incorporated herein by reference for all purposes. 
    
    
     BACKGROUND OF THE INVENTION 
     Popular content repositories, voting sites and other social collaborative networks, such as public photograph, journal and video sites, typically contain a vast amount of content. The interactions that users of such sites can take, such as commenting on and rating content can be orders of magnitude more numerous than the content itself. As a result, tracking and comprehending what activity is being taken, and by whom, especially as it occurs, can be difficult. 
     Therefore, it would be desirable to have a better way to visualize information. 
    
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
       Various embodiments of the invention are disclosed in the following detailed description and the accompanying drawings. 
         FIG. 1A  illustrates an embodiment of an environment for collecting and managing content contributions. 
         FIG. 1B  illustrates an embodiment of an interface to a preference system. 
         FIG. 2  is a flow chart illustrating an embodiment of a process for receiving a story submission. 
         FIG. 3  is a flow chart illustrating an embodiment of a process for receiving a story submission. 
         FIG. 4  illustrates an embodiment of a story permalink. 
         FIG. 5  illustrates an embodiment of an interface to a preference system. 
         FIG. 6  illustrates an embodiment of an interface to a preference system. 
         FIG. 7  is a flow chart illustrating an embodiment of a process for recording a preference for a content contribution. 
         FIG. 8A  illustrates an embodiment of a visualization interface. 
         FIG. 8B  illustrates an embodiment of a visualization interface. 
         FIG. 9  illustrates an embodiment of a visualization interface. 
         FIG. 10  illustrates an embodiment of a visualization interface. 
         FIG. 11  illustrates an embodiment of a visualization interface. 
         FIG. 12A  is an example of a content contribution. 
         FIG. 12B  illustrates an embodiment of an interface to a preference system. 
         FIG. 12C  illustrates an embodiment of an interface to a preference system. 
         FIG. 13A  illustrates an embodiment of an interface to a preference system. 
         FIG. 13B  illustrates an embodiment of an interface to a preference system. 
         FIG. 14  illustrates an embodiment of an interface to a preference system. 
     
    
    
     DETAILED DESCRIPTION 
     The invention can be implemented in numerous ways, including as a process, an apparatus, a system, a composition of matter, a computer readable medium such as a computer readable storage medium or a computer network wherein program instructions are sent over optical or communication links. In this specification, these implementations, or any other form that the invention may take, may be referred to as techniques. A component such as a processor or a memory described as being configured to perform includes both a general component that is temporarily configured to perform the task at a given time or a specific component that is manufactured to perform the task. In general, the order of the steps of disclosed processes may be altered within the scope of the invention. 
     A detailed description of one or more embodiments of the invention is provided below along with accompanying figures that illustrate the principles of the invention. The invention is described in connection with such embodiments, but the invention is not limited to any embodiment. The scope of the invention is limited only by the claims and the invention encompasses numerous alternatives, modifications and equivalents. Numerous specific details are set forth in the following description in order to provide a thorough understanding of the invention. These details are provided for the purpose of example and the invention may be practiced according to the claims without some or all of these specific details. For the purpose of clarity, technical material that is known in the technical fields related to the invention has not been described in detail so that the invention is not unnecessarily obscured. 
       FIG. 1A  illustrates an embodiment of an environment for collecting and managing content contributions. Users, such as user  104 , submit content (hereinafter a “story contribution” and a “third party news article contribution”) to preference system  102 . In the example shown, content is submitted in part by providing to preference system  102  the uniform resource locator (URL) of a story, such as a story found on web page  106 . 
     Preference system  102  includes a web module  108  that provides typical web server functionality such as serving website  116 , capturing user input, and providing Really Simple Syndication (RSS) feed ( 110 ) support. In the example shown, web module  108  is an Apache HTTP server that supports running PHP scripts. Web module  108  is interfaced with a database  112 , such as through a MySQL database backend. 
     As described in more detail below, users are made aware of the submitted content through website  116  and features such as RSS feeds. In addition to providing a link to the content (e.g., a hyperlink to web page  106 ) and information such as a summary of the story and the date and time it was submitted, website  116  permits users to indicate their preferences for the content by making a variety of interactions. For example, users can “digg” a story to indicate their like of its content, “bury” a story to indicate problems with the content, and may also take other actions such as commenting on the content. These actions (including the initial submission of the content contribution) are referred to herein collectively as “preference events.” 
     Whenever a preference event occurs (e.g., whenever a user submits, diggs, buries, or comments on content), the event is recorded in database  112  along with associated information such as the identity of the user and a time/date stamp. As described in more detail below, information recorded in database  112  is used in a variety of ways, such as in conjunction with visualization tools that query database  112  and/or make use of data extracted from database  112 . 
     In some embodiments, the infrastructure provided by portions of preference system  102  is located on and/or replicated across a plurality of servers rather than the entirety of preference system  102  being collocated on a single platform. Such may be the case, for example, if the contents of database  112  are vast and/or there are many simultaneous visitors to site  116 . 
       FIG. 1B  illustrates an embodiment of an interface to a preference system. The example shown is an implementation of a portion of website  116 , as rendered in a browser. A user, known as “Alice” is logged into site  116 . Interface  150  includes a sidebar  152  that provides access to various system services. For example, by selecting region  154  of sidebar  152 , Alice is presented with an interface that permits her to view her profile and manage account settings such as her current email address and password; view previous preference events she&#39;s taken (her “history”); and access friend-related features described in more detail below. Region  156  provides an indication of whether Alice has any messages and will present her with an interface to a message system (such as a mailbox) if selected. As described in more detail below, by selecting region  158 , Alice will be presented with an interface through which she can submit a news story for inclusion on system  102 . 
     Region  160  displays a list of categories into which news stories are grouped. If “View All” is selected, stories from all categories will be displayed in story window  164 . As shown, the “Technology” category is selected. In some embodiments, visual indications of what category is selected are presented. In the example shown, the selected category is highlight (represented here by stippling) at  166 , and the title of the category appears above story window  164  at  168 . In some embodiments, Alice can configure which topics are available to her on site  116 . For example, if Alice dislikes Sports, she can configure interface  150  to never show her any sports-related stories, even when viewing using the “View All” option. 
     Story window  164  typically includes one or more story entries  170 . In the example shown, a story entry includes the title of a story, as well as other associated information, such as who submitted the story and when, the external URL of the story, the category to which the story belongs, and a summary of the story. As described in more detail below, links are provided to the story directly (such as by clicking on the title), as well as to an area of site  116  associated with the story, referred to herein as the story&#39;s permalink. For example, by clicking on the comments link ( 176 ) of the story, Alice will be presented with the comments portion of the permalink described in more detail below. 
     Story entry  170  also includes a problem reporting region  178 . Users may report problems for a variety of reasons. For example, the first story entry and the third story entry shown describe the same news—scientists superheating a gas. Alice has selected the problem, “duplicate” story, from problem reporting region  178 . As described in more detail below, this is one form of burying a story. In some embodiments, buried stories are displayed differently, or removed entirely from the user&#39;s interface. In the example shown, once a story is buried, it is greyed out, represented here by stippling ( 180 ). 
     As described in more detail below, each story has one or more scores associated with it. In the example shown, the “digg” score ( 172 ) for each story is displayed, as is an interactive region beneath the score (box  174 ) that allows a user to “digg” the story. The first story has been dugg 237 times, but has not been dug by Alice. As described in more detail below, if Alice were to select region  174 , a variety of actions would be immediately taken, including increasing the digg score of the story and updating the region&#39;s text from “digg it” to “dugg!” as shown in region  182 . 
     Alice is currently viewing a “promoted stories” ( 184 ) view of story window  164 . This means that all of the stories presented to Alice on the current view of the interface have exceeded a promotion threshold. One example of a promotion threshold is the raw number of diggs. Other requirements/factors may be used for thresholding in addition to or instead of a digg score, such as requiring that a certain amount of time elapse between story submission and story promotion, the speed with which stories are being dugg, information associated with users that have dugg the story, etc. Because some threshold of users must agree that a story has merit before being promoted, stories shown in promoted view  184  are unlikely to contain spam or otherwise be inherently inappropriate for Alice&#39;s viewing. 
     In some embodiments, different thresholds are used for different stories, such as for stories in different categories. For example, the promotion of a math related story may only require 100 diggs whereas a story about the president may require 500 diggs. 
     If Alice selects the upcoming stories tab ( 186 ), only stories which have not yet met the appropriate threshold will be displayed. For example, newly submitted stories which have not yet been “dugg” by a sufficient number of people will be presented by selecting tab  186 . In some embodiments, if a story languishes in the upcoming stories pool for more than a certain period of time without receiving a sufficient digg score to be promoted (e.g., for a week), the story is removed from the pool and can only be found via its permalink or through a search. In some embodiments, such stories are deleted from database  112 . Such stories are typically indicative of spam, inaccuracies, and old news. Similarly, if enough users bury a story, the story may be removed from the pool and/or database  112 . 
     In other embodiments, other views of stories may be presented as applicable, such as a view that unifies both the promoted and the upcoming stories. In the example shown, because Alice has selected the “Technology” category ( 166 ), only technology related stories are presented in the promoted stories ( 184 ) and upcoming stories ( 186 ) views. Similarly, the topics of the presented stories (e.g., “Math,” are all subtopics of Technology). In some embodiments, the information presented with the story entry may vary, such as from topic to topic. For example, if Alice selected “View All” at  160 , the listed topic may be the top level category to which the story belongs (e.g., “Technology”) or include a drilled down description (e.g., “World News—Canada—Elections”). 
     As described in more detail below, portion  162  of interface  150  displays the recent activities (preference events) of Alice&#39;s friends. For example, in the last 48 hours, Alice&#39;s friends have submitted two stories, dugg twelve stories, and commented on sixteen stories, as reflected in dashboard  162 . Of the twelve stories her friends have dugg, four of the stories have not yet been promoted. In some embodiments, assorted visual cues of her friends&#39; activity are presented throughout website  116 . In the example shown, stories dugg by Alice&#39;s friends are notated by a banner ( 184 ) placed across the digg score. In other cases, other cues may be used, such as by changing the color of the story, and/or interactive behavior such as playing a sound or showing the friend&#39;s avatar icon when, for example, Alice&#39;s cursor hovers over a story dugg by a friend. 
     Region  188  displays a list of tools, such as visualization tools, that Alice can use to view and interact with content and/or preference events. 
     Story Submission 
       FIG. 2  is a flow chart illustrating an embodiment of a process for receiving a story submission. This process may be implemented on preference server  102 . In the example shown, the process begins at  202  when information associated with a story is received. For example, in some embodiments at  202 , information such as the URL of a story and a summary of the story located at that URL is received. 
     At  204 , one or more checks are performed. As described in more detail below, examples of checks include checking to make sure the URL is valid and does not, for example, contain a typo; checking for duplicate stories; determining whether the story submission appears on a blacklist or is otherwise to be blocked; determining whether the story is being submitted by a blacklisted user; determining whether the story is being submitted by an anonymous proxy, etc. At  206 , it is determined whether the story should be accepted. 
     In some embodiments, if the story submission fails any of the checks performed at  204 , the story is rejected at  210 . In some embodiments, a threshold is applied to whether or not a story is accepted at  208 . For example, a story that appears to be a duplicate may be flagged for review by an administrator, may be provisionally marked as a potential duplicate, may be accepted so long as no other checks are failed, etc. In some embodiments, the identity of the submitter is taken into consideration when determining whether to accept a story. The decision of whether to accept the story may be based at least in part on factors such as the length of time the user has been a registered user of site  116 , whether the user has previously submitted inappropriate content, and/or a score assigned to the user. 
     Typically, the information received at  202  is received through a web interface, such as a story submission form that can be accessed, by selecting region  158  of interface  150 . Other methods of submission may also be used, as appropriate. For example, an external website, such as a user&#39;s blog could be configured to provide an interface to server  102 . Submission may also be automated, such as by syndicating a news feed to a story submission component executing the process shown in  FIG. 202 . As described in more detail below, submissions of the information received at  202  can also occur through the use of an application program interface (API), browser plugin, etc. 
       FIG. 3  is a flow chart illustrating an embodiment of a process for receiving a story submission. In the example shown, the process is implemented on preference server  102  and is an example implementation of the process shown in  FIG. 2 . The process begins at  302  when an indication that a story is being submitted is received. Suppose Alice wishes to submit a story. When she selects region  158  of interface  150 , server  102  is notified at  302 . 
     At  304 , it is determined whether the submitting user is logged into site  116 . If not, the user is presented with a page at which he or she can create an account or log in to an existing account. After completing registration and/or logging in, the user is directed back to the story submission interface (not shown). 
     A logged in user, such as Alice, is then presented with an interface through which a story may be submitted such as a web form. At  308 , a URL is received, such via Alice entering the URL into the form. 
     System  102  maintains a block list that includes URLs that, e.g., have been reported by administrators as spam sites, fraudulent sites, etc. If a threshold number of users report a story (such as through region  178  of interface  150 ), the story may be automatically added to the block list. At  310  it is determined whether the URL is present on the list of blocked URLs. In some embodiments, instead of or in addition to maintaining a list of block URLs, system  102  checks for blocked URLs in conjunction with a third party, such as a commercial anti-spam registry. If the submitted URL appears on the blocked list, the user is presented with an error at  312 . In various embodiments, the error indicates to the user the problem with the URL, such as that the URL belongs to a known spammer. In such cases, the user may be presented with the option of challenging the block. In other embodiments, a user submitting a blocked URL is not told why the URL is blocked, or may not be told that the URL is blocked at all. For example, a spurious “system configuration” error may be presented to the user to help minimize attempts at circumventing checks. 
     At  314 , it is determined whether the URL can be reached. One way of performing this check is to make use of a tool such as curl or wget. If the URL cannot be reached, for example because of a typo (e.g., HTTP Status Code  404 ) or because accessing the URL requires a login/password (e.g., HTTP Status Code  401 ), the user is presented with an error at  316 . In various embodiments, the user is permitted to revise and resubmit a failed URL without having to restart the process at  302 . 
     Duplicate checking is performed on the URL at  318 . In some embodiments, the check performed looks only for exact matches of the URL. In other embodiments, fuzzy or other matching is applied. 
     If it is determined that the submitted URL is a duplicate of, or similar to a URL previously submitted to server  302 , at  320  the user is presented with a list of the previously submitted story or stories. In some cases, the new story submission is a duplicate of an existing story submission. In other cases, however, the stories may be distinct, despite sharing a common URL. Such may be the case, for example, with a corporate website that always posts new press releases to the same URL, such as “www.company.com/news.html.” Suppose Alice submits a URL that is already stored in database  112 . At  320  she is asked to compare her story against the other story or stories submitted under that URL ( 324 ). For example, the interface may present to her a list of the existing stories matching her submitted URL in a format similar to story window  164  shown in  FIG. 1B . If the story she wishes to submit has already been submitted, she can digg the existing story ( 326 ), rather than submitting a duplicate. If her story is not a duplicate, she can continue with the submission. In various embodiments, considerations such as the sophistication of the user determine whether an exact duplicate URL will be permitted or whether the user will be forced to digg one of the stories presented on the duplicate list instead of submitting the new story submission. 
     At  322 , the user is prompted to supply additional information about the story submission, such as the story&#39;s title, a summary of the story, and to which category or categories it belongs. In some embodiments, the information collected at  322  is received at the same time that the URL is received ( 308 ) and portion  322  of the process shown in  FIG. 3  is omitted. 
     At  328 , additional checks are performed on the story. For example, a spam story may escape detection at  310 . Such may be the case if the spam was recently created or is an attempt to unscrupulously drive traffic to a previously legitimate page and is not already present in a blacklist. One check that can be performed at  328  includes applying spam detection techniques to the text located at the submitted URL and/or the title or summary provided by the user. Additional checks may also be employed in addition to or instead of spam checks at  328 . For example, a determination may be made of whether the submitter (e.g., Alice) is connecting to site  116  via an anonymous proxy. If it is determined at  328  that the submission is spam or should otherwise not be accepted, at  330 , the submission is rejected. In some embodiments, the submission is “silently” rejected—the user is shown a “successful” dialogue when in fact the story is rejected. In other embodiments, the user is presented with an error, such as the error presented at  312 . 
     Additional duplication checks are performed on the story at  332 . In some embodiments, the submitted title and summary of the story are compared against the titles and summaries of stories already submitted to server  102 . In some embodiments, the page is crawled and a full text match (such as a MySQL full text search) is performed against the submitted story and previously submitted stories. In such a case, database  112  is configured to store at least portions of the crawls in addition to information associated with the story. If it is determined that the story is a potential duplicate, at  334  the user is presented the option of digging the story ( 336 ) or submitting it anyway. 
     When a story is accepted at  338 , an entry for the story submission is created in database  112 . Information such as the submission time and the user who submitted the story are stored and counts associated with the story, such as its digg score, are set to zero. The story becomes accessible in the upcoming stories view (e.g.,  186  of  FIG. 1B ). 
     Information in one or more tables  114  is also updated to include information associated with the new story, for example for use in conjunction with searching, and with visualizations discussed in more detail below. Additionally, information associated with the submitting user is modified as appropriate. For example, a count of the number of stories submitted by the user is incremented, and the story is made available in areas such as the user&#39;s profile and the profile areas of the user&#39;s friends, if applicable. 
     As described in more detail below, a permalink for the story can be accessed by visitors to site  116  and contains content assembled dynamically from the information stored in database  112 . In system  102 , the permalink&#39;s URL is created by stripping disallowed characters (such as punctuation) from the submitted story&#39;s title and appending digits as necessary to avoid collisions. So, for example, if Alice&#39;s submitted story were titled “New Species of Bird Discovered,” once accepted at  338 , information associated with the submitted story would be accessible at the URL “http://www.digg.com/science/New_Species_of_Bird_Discovered.html.” 
     Also at  338 , if the user has specified blogging information, such as a username and password of an account on a blogging service, the submitted story is posted to the user&#39;s blog. Information such as the summary and/or title of the story can be automatically copied into the blog submission and/or edited by the user prior to submission. For example, if Alice has specified the details of her blog account in her profile (reachable by selecting portion  154  of interface  150 ), when submitting story submissions, she can specify whether she&#39;d like the story to also appear in her blog. If Alice has not configured her blog settings, the ability to blog can be greyed out, hidden, and or explained at  338 , as applicable. 
     Recording and Reflecting Preference Events 
       FIG. 4  illustrates an embodiment of a story permalink. The example shown is an implementation of a portion of website  116  as rendered in a browser. Story  402  was recently submitted to server  102  (26 minutes ago), through the process depicted in  FIG. 2 . When Alice visits the permalink of story  402 , topic region  160  of sidebar  152  automatically expands and highlights the topic with which story  402  is associated (in this case, “Science”). The story was submitted by David, who also dugg the story. Alice has David listed under her profile as her friend. As a result, the digg count includes a visual indication  404  that story  402  was dugg by a friend. In some cases, Alice and David know each other and have each other, mutually, on their list of friends. In other cases, the relation may be one sided. For example, David may be a columnist or famous personality whose opinion Alice values. 
     The digg score of story  402  is currently two ( 404 ) and the story has not met the threshold(s) required for the story to be promoted out of the “upcoming stories” area. 
     In the interface shown in  FIG. 4 , Alice can click digg box  406  to indicate her preference for the story. In some embodiments, additional actions are taken when Alice diggs a story. For example, if she has configured her blog settings, Alice can specify that stories that she diggs be posted to her blog as she diggs them. Similarly, Alice can configure her personal website (e.g., with a JavaScript) to automatically syndicate recent activities taken in response to stories. 
     She can report a problem with the story (bury it) by selecting an option from problem dropdown  408 . Story reporting options include “duplicate” story (to report that story  402  is a duplicate of another story), “bad link” (to report that the link to the full text of the story is defective), “spam” (to indicate that the story is fraudulent or spam), “inaccurate” (to indicate that there are factual problems with the story), and “old news” and “this is lame” to indicate that the story is not newsworthy. In some embodiments, bury events are anonymous site wide and are not replicated, for example, in a user&#39;s publicly accessibly digging history. One reason for this is to minimize the chances of a “flame war” occurring, for example, when a well known user negatively rates a story or comment. 
     As described in more detail below, region  410  displays comments that users have made about story  402 . Thus far, a total of five comments have been left about story  402 , two of which were left by Alice&#39;s friends. Alice can submit comments by entering information into region  412  of  FIG. 4 . 
     In region  414 , Alice is currently viewing a list of all the users who dugg story  402 . Suppose David is Alice&#39;s friend, but Legolas is not. If Alice selects friends tab  416 , the view in region  414  will change to show only David&#39;s name and avatar icon. 
     In region  418 , Alice is currently viewing a list of the users who have blogged story  402 . Charlie is the only person who has blogged the story so far and he is not Alice&#39;s friend. Therefore, if Alice were to select friends tab  420 , no names would be shown. 
     Alice can submit this story to her own blog by entering in optional text in region  422  and selecting region  424 . Alice can email the story to one or more addresses by entering them into region  426  and selecting region  428 . 
     As shown, all of the information associated with a particular story (e.g., title/summary of the story, digg score, comments, who has blogged the story, etc.) is displayed on a single page. In other embodiments, the information is presented across multiple pages, such as with a tabbed view with one or more tabs for each component. 
       FIG. 5  illustrates an embodiment of an interface to a preference system. The example shown is an implementation of portion  410  of website  116 , as rendered in a browser. In the example shown, Alice is viewing comments associated with a story. The story currently has eight comments ( 502 ), sorted by date. A threshold of −4 diggs or higher has also been applied ( 518 ). Thus, comment  516 , which has been buried 75 times, is hidden. In the example shown, only the header of a buried comment is displayed, along with a link to reveal the hidden comment ( 522 ). Additionally, the header of comment  516  is greyed out to help a user visually distinguish between buried and nonburied comments. 
     Comment  504  was written by Bob, one of Alice&#39;s friends, as was comment  506  (written by David). In this example, comments written by friends are distinguished from other comments, such as through having a differently colored header. Comments dugg by friends are also distinguished. Thus, while CharlieB is not Alice&#39;s friend, his comment ( 508 ) is distinguished because it was dugg by Bob, who is Alice&#39;s friend, as also indicated by the inclusion of Bob&#39;s name and a star on the header of comment  508 . The number of comments left by and/or dugg by her friends is indicated at  514 . 
     In the example shown, Bob has written an informative comment, which 18 people have dugg. If desired, Alice can digg or bury Bob&#39;s comment by selecting the appropriate icon at  520 . In the example shown, the digg icon is a green thumb pointing up. The bury icon is a red thumb pointing down. As described in more detail below, if Alice selects one of the icons, Bob&#39;s comment score is immediately updated and the thumbs are greyed out to indicate to Alice that she&#39;s already registered her preference for Bob&#39;s comment. 
     Suppose Alice finds comment  510  to be off topic or otherwise unhelpful. If she chooses to bury the comment, in the example shown, a variety of changes will occur in the interface immediately. The comment score for comment  510  will decrement by one point. Additionally, comment  510  will collapse down to just the header, which will grey out. If Alice finds the poster of the comment, Legolas, a sufficient nuisance, she can block him by selecting block icon  524 . In this example, if Alice selects the block icon, she will never be shown any content from Legolas again, site-wide, unless she later chooses to unblock him, such as through settings in her profile. Thus, by selecting block icon  524 , Alice will not see comments made by Legolas, stories posted by Legolas, etc., unless and until she chooses to unblock him. 
     In some embodiments, if enough people bury a comment, the comment is removed from the site and/or reported to an administrator. Similarly, if enough people block a user, in some embodiments, the user is reported to an administrator and/or banned from accessing site features. 
     If desired, Alice can submit one or more comments of her own. For example, she may reply to an existing comment by selecting the reply button associated with the comment ( 526 ), or create a new comment by submitting text through region  528 . In some embodiments, Alice is given a portion of time during which she may edit the comment, such as within five minutes of submitting the comment. 
     As described in more detail below, when Alice submits or diggs a comment, that preference event is recorded in database  112 , her profile and the profiles of her friends are immediately updated, and associated RSS files are updated. 
       FIG. 6  illustrates an embodiment of an interface to a preference system. The example shown is an implementation of a portion of website  116  reached by selecting region  154 , as rendered in a browser. In this example, Alice is viewing her profile (hereinafter “interface  602 ”), which has been subdivided into several tabbed views ( 604 - 610 ). A profile provides access to a variety of information, some of which may be publicly viewable, and some of which may be kept private. For example, Alice can change account settings such as specifying her email address and password by selecting portion  604  of interface  602 . Visitors to Alice&#39;s profile will be presented with a subset of the information available to Alice. For example, while Alice sees tab  604  being labeled “Profile+Settings,” a visitor to Alice&#39;s profile would see tab  604  as leading to Alice&#39;s “Profile” only. Similarly, tab  608 , which by selecting allows Alice to add and remove friends, is only available to Alice and is hidden from visitors to her profile. Alice can also add friends by visiting other users&#39; profiles and selecting an “add this user as my friend” option located in the profile. 
     Alice has currently selected to view her friends&#39; history by selecting portion  610  of interface  602 . The information presented can be further customized by selecting from subsets of information. For example, if Alice selects portion  620  of interface  602 , she will be presented with a listing of all of the stories that have been dugg by at least one of her friends. If she selects portion  622 , she will be presented with a list of stories that have been dugg by at least one of her friends but have not yet been promoted. If she selects portion  626 , Alice will be presented with a list of stories submitted by her friends, and by selecting portion  628 , Alice will be presented with a list of stories that have been commented on by her friends. Other information (not shown) may also be presented in other embodiments, such as a list of comments that Alice and/or her friends have dugg. 
     In the example shown, Alice has selected to view stories “agreed on” by her friends ( 624 ). Each of the stories listed in this view have been dugg by at least three of Alice&#39;s friends. In various embodiments, Alice can configure the threshold and specify such information as the number of friends (or total number of diggs) required for a story to be agreed upon and/or define particular individuals whose digg is necessary for a story to be considered agreed upon, keywords that must be present in the story, etc. By making use of the “agreed on” view, Alice can readily discern the most important stories, even if she has thousands of friends. (I.e., if she sets the threshold to “agreed on by at least 10 friends,” and has 1000 friends, the number of stories she is presented with is likely to be manageable and especially relevant or interesting.) 
     Region  616  of interface  602  indicates that four of Alice&#39;s friends have dugg story  632 . Alice can also see which of her friends have dugg story  632  by hovering her input device over the digg score box of story  632 . In some embodiments, Alice can interact with region  616 , such as by being presented with a dialogue that offers to send an email to all of her friends listed in the region. 
     By selecting portion  606  of interface  602 , both Alice, and visitors to Alice&#39;s profile will be presented with Alice&#39;s history in a format similar to that currently shown, but limited to activities taken by Alice. Additionally, Alice may “undigg” stories and comments that she previously dugg by visiting her history. 
     All of the views described in conjunction with  FIG. 6 , such as stories “Agreed On” by Alice&#39;s friends can by syndicated as RSS feeds by selecting RSS link  614  on the appropriate page view. In some embodiments, profile visitors (including Alice) are presented with the option to search ( 630 ) all of site  116  for content ( 634 ), search Alice&#39;s diggs for content ( 636 ) and/or search diggs made by Alice&#39;s friends for content ( 638 ). 
     When a user takes certain actions, such as digging a story or burying a comment, the results of that action are reflected immediately, without the user being directed to a “success” page or the appearance of, e.g., a page refresh occurring to the user. For example, suppose Bob has listed Alice as his friend. Whenever Alice submits a new story, that new story immediately appears on Bob&#39;s “Friends—Submitted” list and is written to the associated RSS file. Similarly, whenever David comments on an article, that fact is immediately reflected under Alice&#39;s tab  628  as shown in  FIG. 6 . As described herein, pages served by web module  108  include Asynchronous JavaScript and XML (Ajax) components. Other techniques may also be used to dynamically update site  116  as rendered in a browser as appropriate. 
       FIG. 7  is a flow chart illustrating an embodiment of a process for recording a preference for a content contribution. The process begins at  702  when an indication that a preference event has occurred is received. For example, when Alice selects digg box  406  shown in  FIG. 4 , her preference is received at  702 . Other examples of preference events include submitting a story, burying a story, and commenting on a story. At  704 , the preference event is associated with the content contribution and any associated scores are updated as applicable. For example, at  704 , Alice and story  402  are linked in database  112  and the digg score of story  402  is increased in database  112  from two to three. At  706 , information associated with the user&#39;s profile is updated. For example, as described in more detail in conjunction with  FIG. 6 , views of Alice&#39;s digging history (including the friends views of users who have listed Alice as a friend) are updated to include the dugg story and an indication that Alice dugg it. Any RSS files associated with her profile and the profiles of those who have her listed as a friend will also be updated as appropriate. 
     Visualizations 
       FIG. 8A  illustrates an embodiment of a visualization interface. The example shown is an implementation of a portion of website  116  as rendered in a browser. In this example, interface  800  (also referred to herein as the digg “spy” interface and a “ticker” interface) is configured to present a real time visualization of preference events occurring on preference system  102 . 
     In the example shown, a user such as Alice can specify which stories to spy on. For example, she can spy on all stories ( 802 ), stories which have not yet been promoted ( 804 ), or just promoted stories ( 806 ). Further specification of a subset of stories can also be applied, as applicable. For example, in various embodiments, a user can specify a key word that must be present in all stories being spied upon, and/or spy on stories in specified categories (not shown), and/or spy on events taken by friends only. 
     Additionally, a user can specify the types of preference events to be spied upon. In the example shown, Alice has checked (would like to see) all types of activity—new story submissions (indicated by icon  810 ), diggs (indicated by icon  812 ), buries (indicated by icon  814 ), and comments (indicated by icon  816 ). 
     One way of implementing the visualization shown in  FIG. 8A  is as follows. As a preference event occurs, it is recorded in database  112 . Maintained within database  112  are a main database table and four smaller tables  114 —one for each type of event. The event is also recorded (either concurrently with, or on a periodic basis such as by way of an update function) in the respective smaller table that corresponds with the event. In some embodiments, filtering is applied so that, for example, only commenting of registered users is recorded in the comment table but all commenting is recorded in the main table. A flag in the main database (e.g., a “do not report this to spy” flag) can also be set that indicates whether information associated with a particular story or user should be copied to the smaller tables  114 . Alice is a typical user whose diggs are recorded in the main database table, as well as the smaller table that records only diggs. 
     When Alice first visits interface  800  with her browser, and on a recurring basis after that (such as every 20 seconds, or whenever the pool of events is running low), batches of information are retrieved from server  102  in a scope commensurate with the options selected (which documents to spy on and for which activities). Specifically, the most recent content from each of the smaller tables  114  is retrieved from server  102  and stored locally, such as in Alice&#39;s browser. Asynchronous JavaScript and XML (Ajax) components in interface  800  cause the information to displayed to Alice, for example, at a rate of one event per second, depending on which information she would like to view. In some embodiments, Alice can control the speed of the display, such as through playback controls  808 . 
     In some cases, such as with heavy digging activity, there may be sufficiently more than 20 diggs occurring site-wide during the twenty second interval between the times that Alice&#39;s browser fetches a new batch of digging information. Thus, after twenty seconds have elapsed, system  102  may have recorded 200 digg events—significantly more than the 20 digg events that Alice periodically fetches. In some embodiments, only the most recent 20 actions are fetched. Thus, every twenty seconds, Alice requests the 20 most recent events and will never see any intervening events. 
     In other embodiments, the number of events fetched adjusts in accordance with the speed with which the events are occurring. In such case, all of the events are fetched and the rate with which they are displayed is sped up (showing one every tenth of a second if there are 200) or slowed down (showing one every five seconds if there are only four) as appropriate. In some embodiments, a sampling of activity is taken throughout the period so that if 200 events occur during the 20 second interval, a random sample of 20 will be supplied to Alice&#39;s browser. 
     In the example shown in  FIG. 8A , Alice has been viewing interface  800  for six seconds. Six events ( 830 - 840 ) are displayed, with the most recent ( 840 ) displayed at the top. As a new event is displayed, the already displayed events are pushed down the display. Thus, for example, at time t 1  (when Alice first began watching the interface), only event  830  was presented. At time t 2  (one second later), event  832  was displayed above event  830 , pushing event  830  down the screen. At time t 3  (one second after time t 2 ), event  834  was displayed, pushing events  832  and  830  each down one position, respectively. 
     By consulting the column descriptions ( 842 ), Alice can see that event  830  was a submission of a new story ( 818 ), titled “Scientists Discover New Type of Bird” ( 822 ), that the story was submitted by CharlieB ( 824 )), and that the story is currently unpromoted ( 826 ) with a digg score of 1 ( 820 ). When event  832  appears in the display at time t 2 , Alice can see that event  832  was a comment by Legolas on a story titled “How to Make a USB Powered Alarm Clock” that currently has a digg score of 33 and has been promoted out of the upcoming stories queue. At time t 3 , Alice can see that David posted a new story titled “New Species of Bird Discovered.” At time t 4 , David&#39;s story was reported as being a duplicate story ( 828 ). The identity of a user burying something is not shown. Instead, only the reason for the bury (such as duplicate story, inaccurate story, old news, etc.) is shown. In other embodiments, other information can be displayed, as applicable. 
     In  FIG. 8A , the displayed digg count for a story is shown as what it was at the time the event occurred. Thus, when event  838  (a digg of “How to Make a USB Powered Alarm Clock” by Bob) occurs, the digg count of the story is shown as 33. The next time the story is dugg, the updated score is shown, such as when event  840  occurs. If the digg events are happening sufficiently quickly that some of them are not displayed to Alice, she might see gaps between the scores. For example, if 50 diggs of the alarm clock story occur in the next few seconds, Alice may only be presented with the most recent digg and the updated total (e.g., 83 diggs). 
       FIG. 8B  illustrates an embodiment of a visualization interface. The example shown is an implementation of a portion of website  116  as rendered in a browser being used by Alice. In this example, interface  850  is configured to present a visualization of newly submitted stories. After a new story is submitted, such as through the submission interface described in conjunction with  FIG. 3 , it is represented in interface  850  as a green square falling from the top of the screen, and landing at the bottom. Any stories already existing on the page (e.g.,  858 ,  882 ,  856 , and  854 ) are shifted to the left to make room for the new story ( 852 ). In some embodiments, stories are removed from the left side to make space for stories on the right side. In other cases, the width of the stories shown decreases to accommodate more stories as they are added to the interface. The length of time that a user has been viewing interface  850  is shown here as a timeline, with the time that Alice first started viewing interface  850  on the left ( 866 ) and the current time on the right ( 868 ). 
     In the example shown, eleven new stories have been submitted since Alice began viewing interface  150 . Statistical information such as the number of stories submitted, the rate with which they are being submitted, etc., is indicated at  870 . As preference events associated with the stories displayed in interface  850  occur, they are also indicated in interface  850 . For example, when a story is dugg, the event is represented by a digg icon, such as the one shown at  812  in  FIG. 8A  falling from the top of the screen and onto the heap of the corresponding story, increasing the size of the heap if it is a digg, and decreasing the size of the heap if it is a bury. For example, at  860 , a digg of story  858  is shown falling down onto the story&#39;s graphical representation and will increase the height of the story box when it lands. A variety of indicators, such as colors and avatars can be used to indicate the occurrence of preference events in addition to or instead of the icons shown in  FIG. 8A . 
     At  864 , a bury of story  882  is shown falling down onto that story&#39;s graphical representation and will decrease the height of the story box when it lands. In the example shown, the bury is indicated by the bury icon shown at  814  in  FIG. 8A . The identity of the user burying the story is not shown (as it can be in the case of other preference events), but by hovering her mouse over bury  864 , Alice is shown a dialogue that includes the reason that the bury was submitted (e.g., “spam”). 
     In some embodiments, additional elements are included, such as the animation shown at  880  (of a missile about to strike heap  882 ), and indications of who is taking the action. For example, diggs  860  and  862  are being performed by friends of Alice. She is alerted to this fact by bubbles accompanying the digg action being performed that indicate their names and/or avatars. The look of interface  850  can be skinned in some embodiments—Alice can specify that she desires the interface to have a militaristic theme, such as in the example shown, or other themes, such as ones in which animals “eat” stories or multiply. 
     The relative popularity of newly submitted stories is indicated by the relative heights of the stories shown in interface  850 . For example, story  884  is a very popular story, while story  856  is not. 
     In the example shown, only newly submitted stories are shown. Interface  850  can also be scoped to represent other portions of activity. For example, Alice can specify that she wants to observe only actions taken by her friends (or groups of her friends), but across all stories, new or old. Alice can also specify that she wants to observe only actions that include a particular keyword, actions occurring only in particular categories or subcategories, etc. Alice can also specify particular stories she wishes to monitor, such as by selecting a link on the page&#39;s permalink that reads, “add this story to my incoming view.” Alice can also “pin” the stories shown in interface  850 . When she hovers her mouse over a particular story shown in interface  850 , one element that is revealed is a pushpin icon which, if selected, causes the story to remain in region  886  of interface  850 , and/or be added to a list of favorites ( 878 ). 
     A variety of graphical tools are shown on the left hand side of interface  850 . They include charts of information such as which stories in the last hour have been most popular  876 , the relative rankings of stories that Alice is monitoring (has pinned)  878 , a more comprehensive view (i.e., including information predating Alice&#39;s current interactions with interface  850 ), etc. At  872 , the story entry  170  of a story that Alice hovers her mouse over, such as story  854 , is displayed and she can interact with the story entry  170  such as digging it or burying it accordingly. 
       FIG. 9  illustrates an embodiment of a visualization interface. The example shown is an implementation of a portion of website  116  as rendered in a browser. In this example, interface  900  is configured to present a visualization of the genealogy of the diggs (also referred to herein as a “tree view”) of a story on preference system  102 . 
     In the example shown, story  902  was originally submitted by the user David. When he successfully submitted the story, it appeared in his profile, as well as in the Friends History (e.g., at  610  of  FIG. 6 ) of the several people who have listed David as their friend. Suppose ten people have David as a friend, including users  904 ,  908 , and  912  and seven users not pictured. After David submitted the story, friends  904 ,  908 , and  912  dugg story  902 , either through their own friends pages, or through David&#39;s profile. They are displayed in interface  900  as connected to David. Users who have David listed as a friend who did not digg the story are not displayed in interface  900 . Users  906  and  910  do not have David as a friend, but dugg the story through visiting his profile. As a result, they are also shown connected to David. 
     When users  904 - 912  dugg story  902 , that action was recorded in their respective user profiles as well. Visitors to their profiles, and those who list them as friends who digg the story will be shown connected to them, the way they are shown connected to David. If expansion tab  914  is selected, interface  900  will continue to provide detail down the tree (those who dugg story  902  through user  916 , and so on). 
     One use of the tree view is that users can trace how their friends learned about stories and meet new friends. For example, if Alice notices that Bob diggs a lot of cryptography stories, she can determine where Bob diggs them from—does he submit the stories himself, or is he mainly digging stories submitted by CharlieB—and add new friends (such as CharlieB) as appropriate. 
       FIG. 10  illustrates an embodiment of a visualization interface. The example shown is an implementation of a portion of website  116  reached by selecting region  186  of  FIG. 1B  as rendered in a browser. In this example, Alice is viewing upcoming stories, which may be displayed in a variety of ways. If she selects region  902 , Alice will be presented with upcoming stories in a format similar to that shown in the story window  164  shown in  FIG. 1B  (including one or more story entries  170 ). 
     In the example shown, Alice has selected to view the upcoming stories in a cloud view by selecting tab  904 . In this view, the title of each story in the upcoming queue is visualized as a function of the number of diggs it has. Stories with few diggs are shown in a very small font, and may be colored in a subtle manner, such as by being displayed in grey. Stories with many diggs are shown in a very large font and may be displayed in another color, such as red or black. Stories dugg by friends are also shown in a different color, such as green, irrespective of number of diggs. In some embodiments, additional information is received from the interface shown in  FIG. 10  by taking an action such as hovering a mouse over a story title. In such case, information such as the current digg score of the story, which if any friends have dugg the story, and/or the story entry  170  of  FIG. 1B  is shown. 
     Which stories will appear in the cloud view can be configured, such as by selecting one or more categories to view or limiting the view to stories dugg by friends. The cloud view can also be sorted by a variety of factors. As shown, the newest (most recently submitted) stories are shown at the top, and older stories are shown at the bottom of  FIG. 10 . If the stories were sorted by most diggs, then stories rendered in the largest font would appear first and stories rendered in the smallest font would appear last. Other sorting methods may also be used, such as by sorting by most or least comments. 
       FIG. 11  illustrates an embodiment of a visualization interface. The example shown is an implementation of a portion of website  116  reached by selecting the appropriate portion of region  188  of  FIG. 1B  as rendered in a browser. In this example, Alice is viewing upcoming stories. Users are shown represented by their avatar icons, or by more generalized shapes. As they digg a story, their icon is shown “swarming” around the story in real time—the avatar moves near the story the user is digging, as do the avatars of the other users currently digging the story. In some embodiments, the size of the user&#39;s avatar (or other representation of the user) increases and decreases based on the number of stories they are currently digging. 
     In some embodiments, only recent activity is shown—such as diggs in the last 10 minutes. Stories with more activities (such as diggs and comments) will appear larger than stories with fewer activities. In some embodiments, additional information is received from the interface shown in  FIG. 11  by taking an action, such as hovering a mouse over a story title. In such case, information such as the current digg score of the story, which, if any friends have dugg the story, and/or the story entry  170  of  FIG. 1B  is shown. The links between stories can also be shown, indicating, for example, that several of the same people that dugg a particular first story also dugg a second story, by connecting the two stories with a line. Indicators such as the color or width of the line can show how strong or weak the connection is between the stories. 
     Additional Embodiments 
     In some embodiments, a plugin and/or add-on to a computer program product is used to provide digging (and/or burying, commenting, and submitting) functionality. The plugin/add-on is associated with an interface to server  102  which may include functions that determine whether a permalink already exists for the submission, and invoke processing of a new submission, a comment, etc., as appropriate. 
     For example, a plugin to a web browser (e.g., a Firefox extension) can be configured to offer a user the ability to digg an item directly from the context in which it is encountered without having to visit the submission interface described in conjunction with  FIG. 3  or a permalink such as the one shown in  FIG. 4 . For example, a notification embedded in a page or overlayed such as by the browser can indicate whether the page a user is currently browsing has been submitted as a story contribution yet. If not, a user can interact with the notification, such as by clicking on an interface that reads, “this page has not yet been submitted to digg.com, submit it now.” Similarly, if the page has already been submitted, such as by a different user, the notification may take a variety of forms, such as an overlay of the current digg score ( 172 ) and a digg box, or a change, for example, in the background color, or some other element of the page. 
     Configurable dropdowns and/or overlays can also be provided to alert a user of certain activity. For example, the user can set an alert to receive notification when new stories having certain keywords are submitted to server  102 . Notification can also be provided for friends&#39; digging activities as they occur, such as that a friend has just dugg a story or commented on a product. 
     As used herein, content contributions are pointers to content (e.g., news articles and podcasts) that is stored outside of preference system  102 , typically by a third party. In some embodiments, users submit the content itself (e.g. the full text of articles, and the audio file) rather than or in addition to a pointer to the content, and the techniques described herein are adapted accordingly. The terms “content,” “content contribution,” and “pointers to content” are used herein interchangeably. As described in more detail below, content contributions are not limited to news articles. Other content (such as products, services, songs, sounds, photographs, and video) can be submitted, dugg, buried, and commented on and the techniques described herein can be adapted as appropriate. Preference events taken on those types of content may likewise be associated with a profile and shared with friends in a manner similar to that described, for example, in conjunction with  FIG. 6 . 
       FIG. 12A  is an example of a content contribution. The example shown represents a restaurant submission. The name of the restaurant ( 1200 ) is included, as is information such as who submitted the restaurant, the URL of the restaurant, the type of cuisine it serves ( 1202 ), and the general location of the restaurant ( 1204 ). Users may perform such actions as searching for restaurants by cuisine type and/or location, and limiting results to ones having a threshold number of diggs. Restaurants having no or few diggs can be displayed as “upcoming restaurants,” separated from “promoted restaurants” which have digg scores exceeding a threshold. Users can also supply additional information about their preferences for the reference, such as by supplying one or more tags ( 1202 ) that indicate attributes such as “ambiance” or signature dishes. As described in more detail below, which fields/tags are collected at submission time (and which, if any, can be added subsequently) and shown can be configured as appropriate depending on the type of content. For example, in the case of a product, a stock photo of the product may be included. 
       FIG. 12B  illustrates an embodiment of an interface to a preference system. In the example shown, the interface unifies a user&#39;s preference for things across multiple genres of content. For example, the user can digg for news ( 1250 ), videos ( 1252 ), and restaurants ( 1254 ) all through the same interface. As described in more detail below, the friends features described above can also be used in conjunction with other types of content contributions. For example, using the interface shown in  FIG. 12B , a visitor to Alice&#39;s profile can learn which news stories she&#39;s been digging as well as learn which restaurants she diggs or doesn&#39;t digg. Similarly, Alice can customize the views of each of the tabs ( 1250 ,  1252 ,  1254 ) to display only restaurants her friends of agreed on, restaurants nearby (e.g., by selecting a region on a map or entering a ZIP code) that at least one friend has dugg, etc. 
       FIG. 12C  illustrates an embodiment of an interface to a preference system. In the example shown, digging functionality has been combined with mapping functionality. When a user searches a map, such as a web-based map service, for nearby restaurants, entries on the map include an indication of the number of diggs a business has had and the ability to digg or comment on the business directly from the map interface. 
       FIG. 13A  illustrates an embodiment of an interface to a preference system. The example shown is an implementation of a portion of website  116  which includes the ability to submit, digg, and comment on products (including software), as rendered in a browser. In this example, Alice has selected to view products agreed on by her friends ( 1322 ). 
     Alice can submit a new product review by selecting portion  1302  of interface  1300 . She can view products in one or more categories by selecting the appropriate portion of region  1304 . Portion  1306  of interface  1300  displays the recent activities of Alice&#39;s friends in a dashboard format. 
     Region  1326  of interface  1300  indicates that four of Alice&#39;s friends have dugg product  1324 , the ACME MP3 player. Alice can also see which of her friends have dugg product  1324  by hovering her input device over the digg score box of product  1324 . In some embodiments, Alice can interact with region  1326 , such as by being presented with a dialogue that offers to send an email to all of her friends listed in the region. In some embodiments, additional actions can be taken with product  1324 . For example, Alice may be presented a “buy this product now” icon or link. 
     All of the views shown in  FIG. 13A  can be syndicated as RSS feeds by selecting RSS link  1320  on the appropriate page view. For example, if Alice is a professional critic, users and those who choose not to use web site  116  on a regular basis can syndicate comments that she makes on products, etc. 
     In some embodiments, profile visitors (including Alice) are presented with the option to search ( 1308 ) all of site  116  for product keywords ( 1310 ), search Alice&#39;s diggs for product keywords ( 1312 ), and/or search diggs made by Alice&#39;s friends for product keywords ( 1314 ). For example, a visitor to Alice&#39;s profile can search for MP3 players that she has dugg or commented on. In some embodiments, search interface  1308  includes the ability to filter results on meta information such as regions for DVDs, languages for books, etc. In some embodiments, views (and searches) can be limited by other factors, such as location (distance from Alice), availability (whether a product is in stock and how quickly it can arrive), etc. 
       FIG. 13B  illustrates an embodiment of an interface to a preference system. The example shown is, as rendered in a browser, an implementation of a portion of website  116  that includes the ability to submit, digg, and comment on products. In this example, Alice has selected to view products in the category, MP3 player, from a larger set of categories, such as those listed in region  1304  of  FIG. 13A . 
     In the example shown, each product listing ( 1352 ,  1354 ) includes a photograph of the MP3 player ( 1356 ), as well as a digg score/digg box ( 1358 ), title, description, etc. ( 1360 ). The MP3 players shown in this example are sorted by popularity. 
     On the right hand side are assorted graphs ( 1362 ,  1364 ) of information associated with the products shown. Graph  1362  compares the popularity (e.g., digg scores, number of comments recently made, etc.) of different MP3 players against each other over time so that trends such as which ones are gaining in popularity and which ones are decreasing in popularity can be visually determined. 
     In the example shown, the Acme F242 player is more popular than the Beta 10 player. In some embodiments, the frequency with which a user visits preference system is considered when determining the popularity of a product. For example, suppose the Beta 10 player has 165 diggs, 25 of which were made by users who have not visited the preference system in 3 months. In some embodiments, the diggs of those 25 users are expired. The product will remain listed in the absent user&#39;s profiles, but their diggs will not be included when calculating the popularity of the product. 
     Users also have the ability to undigg a product to indicate that they&#39;ve moved onto something new. For example, suppose Alice currently has a Beta 10 player and is interested in upgrading. If she purchases an Acme F242, she can visit her profile to undigg the Beta 10 and digg the Acme F242. Her actions—undigging the Beta 10 and digging the Acme F242 instead—will also be reflected in graph shown at  1362 . For example, on the day that she undiggs the Beta 10, its position along the vertical axis will be decreased. On the day that she diggs the Acme F242, the Acme F242&#39;s position on the graph will similarly increase. 
     Graph  1362  also includes indications of the individual users who are taking digging and undigging actions. For example, when Alice hovers her mouse over region  1368 , she can see that a user, Mark, dugg the Acme F242. Indications of actions taken by her friends are also included on graph  1362 . For example, regions associated with friends&#39; diggs of the Acme F242 are highlight in green, or with avatars, or other indicators that her friends have indicated preferences at a particular time. For example, Alice can use graph  1362  to determine that David dugg the Acme 242 two months after Charlie dugg the Beta 10. 
     The information shown in  FIG. 13B  can also be generated based on one or more searches in addition to or instead of tabbed browsing. For example, Alice could perform a search of “popular MP3 players at least one of my friends owns” and see the information shown in  FIG. 13B  as a result. 
     In some embodiments, demographic information is displayed. For example, in graph  1364 , the popularity of a particular MP3 player is broken down by assorted groups such as teens and adults, or girls and boys. Demographic information can similarly be included in a search so that, for example, a parent shopping for a present for his or her child can locate the “hottest MP3 players among teenagers this week,” and the “most popular movie for women aged 20-30,” through a search interface configured to accept such queries. 
       FIG. 14  illustrates an embodiment of an interface to a preference system. The example shown is an implementation of a portion of website  116  which includes the ability to submit, digg, and comment on photographs and video, as rendered in a browser. In the example shown, photograph  1402  was dugg by a friend, as indicated by banner  1404 . By selecting digg box  1406 , a visitor can indicate a preference for the photograph shown. In some embodiments, visitors indicate their preference for content such as video  1408  by selecting an icon such as icon  1410 . 
     The content shown in interface  1400  can be presented in a variety of ways. For example, video content may be represented as an icon, such as the filmstrip icon shown at  1408 . A screen shot of the first frame of the video may also be shown, and interactions, such as hovering a mouse over region  1408  could trigger actions such as causing the video to be played in the browser. 
     In some cases, it may not be possible to embed the content directly into the interface shown in  FIG. 14 . In such a case, the video is shown in a format similar to story entry  170  ( 1416 ), and a preview button  1414  is included. When preview button  1414  is selected, a video player  1412  automatically slides out in which the video can be displayed. 
     Permalink pages such as the one shown in  FIG. 4  can be adapted for photograph and video content as appropriate, and users may comment, blog, and take other actions with respect to visual and other content (such as songs) as appropriate. 
     Although the foregoing embodiments have been described in some detail for purposes of clarity of understanding, the invention is not limited to the details provided. There are many alternative ways of implementing the invention. The disclosed embodiments are illustrative and not restrictive.