Source: http://www.google.com/patents/US20100030894?dq=calbucci
Timestamp: 2013-12-21 19:24:25
Document Index: 233827505

Matched Legal Cases: ['art 1602', 'art 1602', 'art 1602', 'art 1602', 'art 1602', 'art 1602']

Patent US20100030894 - Computer program product and method for estimating internet traffic - Google PatentsSearch Images Maps Play YouTube News Gmail Drive More »Sign inAdvanced Patent SearchPatentsSite metrics are presented in association with search results. The site metrics are derived from site analytics that uses clickstream data collected from a panel of internet users to generate and present internet activity metrics. Data collected from a community of internet users may be augmented by...http://www.google.com/patents/US20100030894?utm_source=gb-gplus-sharePatent US20100030894 - Computer program product and method for estimating internet trafficAdvanced Patent SearchPublication numberUS20100030894 A1Publication typeApplicationApplication numberUS 12/495,771Publication dateFeb 4, 2010Filing dateJun 30, 2009Priority dateMar 7, 2002Also published asUS7979544, US8135833, US8356097, US20080189408, US20110296014, US20120131187Publication number12495771, 495771, US 2010/0030894 A1, US 2010/030894 A1, US 20100030894 A1, US 20100030894A1, US 2010030894 A1, US 2010030894A1, US-A1-20100030894, US-A1-2010030894, US2010/0030894A1, US2010/030894A1, US20100030894 A1, US20100030894A1, US2010030894 A1, US2010030894A1InventorsDavid Cancel, Lauren S. Moores, Laura CurreaOriginal AssigneeDavid Cancel, Moores Lauren S, Laura CurreaExport CitationBiBTeX, EndNote, RefManReferenced by (18), Classifications (6), Legal Events (4) External Links: USPTO, USPTO Assignment, EspacenetComputer program product and method for estimating internet trafficUS 20100030894 A1Abstract Site metrics are presented in association with search results. The site metrics are derived from site analytics that uses clickstream data collected from a panel of internet users to generate and present internet activity metrics. Data collected from a community of internet users may be augmented by clickstream data store content, third party content, search results, and other sources to form estimates of internet activity, such as traffic, that is structured and analyzed to produce metrics of nearly any internet web site or domain. The data may be further augmented with ratings, such as web site trust ratings, retail deals, and analysis of web site content to form a comprehensive set of data that is mined to formulate various metrics of internet activity about web sites. Metrics of internet activity, a.k.a. site analytics, provides analysis that represents aspects of internet user access to a web site. Such aspects may include activity related to visitors, engagement, growth, trust, deals, and the like.
taking a size and demographic composition of a target population; identifying a group of participants within a target population; determining demographic information for each member of the group of participants; receiving click-stream data at a host processing facility from the group of participants that connotes Internet activity of individual members of the group of participants; and producing, at the host processing facility, an estimate of a target population's Internet activity by scaling the data for each member of the group of participants to the relative size and demographic composition of the target population and the group of participants, wherein scaling comprises applying a weight to the clickstream data in view of the demographic information. 2. The method of claim 1, wherein the clickstream data is from a plurality of sources
producing, at the host processing facility, an Internet traffic rank of a web site based upon the estimate of the population's Internet activity. 6. The method of claim 1, further comprising:
producing, at the host processing facility, a visit metric of a web site based upon the estimate of the population's Internet activity. 7. The method of claim 1, further comprising:
producing, at the host processing facility, an engagement metric of a web site by applying site analytics to the estimate of the population's Internet activity. 8. The method of claim 1, further comprising:
wherein determining demographic information of at least one of the target population and group of participants comprises receiving the demographic information from a remote source. 9. The method of claim 1, further comprising:
refining the estimate of the population's Internet activity by applying a bias adjustment to the estimate, wherein applying the bias adjustment to the estimate comprises applying a weight to a subset of the data from the group of participants, the subset of the data that connotes a specific domain, wherein the bias adjustment is at least one of a domain-specific, page-specific, segment-specific, and user-specific adjustment. 10. The method of claim 1, wherein the size and demographic composition of at least one of the target population and the group of participants is updated periodically.
receiving clickstream data at a host processing facility, the data from a group of participants that connotes Internet activity of individual members of the group of participants, wherein the group of participants is identified from within a target population for which a size and demographic composition is taken; producing, at the host processing facility, an estimate of a target population's Internet activity by scaling the clickstream data for each member of the group of participants to a relative size and demographic composition of the target population and the group of participants, wherein the individual members of the community of participants are uniquely identifiable from the clickstream data; and scaling comprises applying a weight to the clickstream data in view of the demographic information. Description
CROSS-REFERENCE TO RELATED APPLICATIONS This application is a continuation of the following U.S. patent application, which is incorporated by reference in its entirety: U.S. patent appl. Ser. No. 11/938,716 filed Nov. 12, 2007.
FIG. 16 depicts an engagement type metric chart described herein as an attention metric. The attention metric web page 1600 includes a monthly attention chart 1602 of three web sites. While the timeline associated with this chart is monthly (see the horizontal axis of chart 1602), other timelines are possible including daily, weekly, hourly, and any other time period over which attention may be determined. The monthly attention chart 1602 is presented as a stacked area chart to provide a visual indication of relative magnitudes of each web site presented in the chart 1602. A stacked area chart view may allow a user to readily view how the web sites in the chart each contribute to a total attention for the web sites. In the monthly attention chart 1602, in the month of August 2007 (August 07 on the horizontal axis), a total attention for the three web sites is 3.9%. When compared to the time period of August 2006 (August 06 on the horizontal axis) the group attention has increased 1.6�(from 2.4% to 3.9%). However, the summary at the bottom of the chart 1602 indicates that each web site has contributed to that 1.6�increase in different ways. In the example of FIG. 16, youtube.com has increased attention by 2.09�, whereas apple.com has essentially remained flat (1.01�) and google.com has increased moderately (1.34�). This visual stacked presentation of the attention metric provides a powerful way to identify which of the analyzed web sites has contributed to an overall change, and how each web site has changed relative to the others.
Referenced byCiting PatentFiling datePublication dateApplicantTitleUS7797371Oct 24, 2007Sep 14, 2010Compete, Inc.Systems and methods for clickstream analysis to modify an off-line business process involving determining related or complementary itemsUS7814139Oct 24, 2007Oct 12, 2010Complete, Inc.Systems and methods for clickstream analysis to modify an off-line business process involving forecasting demandUS8015259 *Sep 9, 2003Sep 6, 2011Alan Earl SwahnMulti-window internet search with webpage preloadUS8095621Oct 24, 2007Jan 10, 2012Compete, Inc.Systems and methods for clickstream analysis to modify an off-line business process involving automobile salesUS8099496Oct 24, 2007Jan 17, 2012Compete, Inc.Systems and methods for clickstream analysis to modify an off-line business process involving matching a distribution listUS8234706 *Jun 20, 2007Jul 31, 2012Microsoft CorporationEnabling access to aggregated software security informationUS8250651Jun 28, 2007Aug 21, 2012Microsoft CorporationIdentifying attributes of aggregated dataUS8261362Dec 29, 2011Sep 4, 2012Ensighten, Inc.Online privacy managementUS8302197Jun 28, 2007Oct 30, 2012Microsoft CorporationIdentifying data associated with security issue attributesUS8346782 *Aug 18, 2010Jan 1, 2013Alibaba Group Holding LimitedMethod and system of information matching in electronic commerce websiteUS8516601Jul 20, 2012Aug 20, 2013Ensighten, LlcOnline privacy managementUS8533581 *May 13, 2010Sep 10, 2013Symantec CorporationOptimizing security seals on web pagesUS8549138Oct 1, 2010Oct 1, 2013Microsoft CorporationWeb test generationUS20110283174 *May 13, 2010Nov 17, 2011Verisign, Inc.Optimizing Security Seals on Web PagesUS20120143816 *Aug 18, 2010Jun 7, 2012Alibaba Group Holding LimitedMethod and System of Information Matching in Electronic Commerce WebsiteUS20120246598 *May 6, 2011Sep 27, 2012Symantec CorporationSystems and methods for displaying trustworthiness classifications for files as visually overlaid iconsUS20130173573 *Jan 3, 2012Jul 4, 2013Microsoft CorporationSearch Engine Performance Evaluation Using a Task-based Assessment MetricUS20130263023 *Mar 29, 2012Oct 3, 2013Ensighten, LlcGraphical Overlay Related To Data Mining and Analytics* Cited by examinerClassifications U.S. Classification709/224International ClassificationG06F15/16Cooperative ClassificationG06Q10/04, G06Q30/02European ClassificationG06Q30/02, G06Q10/04Legal EventsDateCodeEventDescriptionSep 10, 2012ASAssignmentOwner name: COMPETE, INC., MASSACHUSETTSEffective date: 20120820Free format text: CORRECTIVE ASSIGNMENT TO CORRECT THE ASSIGNEE ADDRESS PREVIOUSLY RECORDED ON REEL 028896 FRAME 0934. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT;ASSIGNOR:COMPETE, INC.;REEL/FRAME:028925/0516Sep 4, 2012ASAssignmentOwner name: COMPETE, INC., MASSACHUSETTSEffective date: 20120820Free format text: ADDRESS CHANGE;ASSIGNOR:COMPETE, INC.;REEL/FRAME:028896/0934Sep 27, 2011CCCertificate of correctionOct 15, 2009ASAssignmentOwner name: COMPETE, INC.,MASSACHUSETTSFree format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:CANCEL, DAVID;MOORES, LAUREN S.;CURREA, LAURA;SIGNED BETWEEN 20090907 AND 20091014;US-ASSIGNMENT DATABASE UPDATED:20100204;REEL/FRAME:23375/529Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:CANCEL, DAVID;MOORES, LAUREN S.;CURREA, LAURA;SIGNING DATES FROM 20090907 TO 20091014;REEL/FRAME:023375/0529Owner name: COMPETE, INC., MASSACHUSETTSRotateOriginal ImageGoogle Home - Sitemap - USPTO Bulk Downloads - Privacy Policy - Terms of Service - About Google Patents - Send FeedbackData provided by IFI CLAIMS Patent Services©2012 Google