Source: http://www.google.com/patents/US8209724?dq=6,274,924
Timestamp: 2014-07-12 19:28:09
Document Index: 615776909

Matched Legal Cases: ['Application No. 2008100826213', 'Application No. 2008100826213', 'Application No. 20088003361', 'Application No. 200710196237', 'Application No. 2008100826213', 'Application No. 200810082621', 'Application No. 200810082621']

Patent US8209724 - Method and system for providing access to information of potential interest ... - Google PatentsSearch Images Maps Play YouTube News Gmail Drive More »Sign in<nobr>Advanced Patent Search</nobr>PatentsThe present invention provides a method and system for providing access to information of potential interest to a user. Closed-caption information is analyzed to find related information on the Internet. User interactions with a TV which receives programming including closed-caption information are monitored...http://www.google.com/patents/US8209724?utm_source=gb-gplus-sharePatent US8209724 - Method and system for providing access to information of potential interest to a userAdvanced Patent SearchPublication numberUS8209724 B2Publication typeGrantApplication numberUS 11/789,609Publication dateJun 26, 2012Filing dateApr 25, 2007Priority dateApr 25, 2007Also published asCN101296362A, CN101296362B, US20080266449Publication number11789609, 789609, US 8209724 B2, US 8209724B2, US-B2-8209724, US8209724 B2, US8209724B2InventorsPriyang Rathod, Mithun Sheshagiri, Phuong Nguyen, Anugeetha Kunjithapatham, Alan MesserOriginal AssigneeSamsung Electronics Co., Ltd.Export CitationBiBTeX, EndNote, RefManPatent Citations (113), Non-Patent Citations (90), Referenced by (4), Classifications (27), Legal Events (1) External Links: USPTO, USPTO Assignment, EspacenetMethod and system for providing access to information of potential interest to a userUS 8209724 B2Abstract The present invention provides a method and system for providing access to information of potential interest to a user. Closed-caption information is analyzed to find related information on the Internet. User interactions with a TV which receives programming including closed-caption information are monitored to determine user interests. The related closed-caption information is analyzed to determine key information therein. The key information is used for searching for information in available resources such as the Internet, and the search results are used to make recommendations to the user about information of potential interest to the user.
1. A method of providing access to information of potential interest to a user of an electronic device, comprising the steps of:
while content is being displayed on the device, periodically updating a first word buffer with words extracted from closed captioning information corresponding to the content since a beginning of a program or story, and periodically updating a second word buffer with words extracted from closed captioning information corresponding to the content based on a most recent n seconds, wherein n is a preset value, such that the second word buffer maintains keywords only present in the closed captioning information during the last n seconds of time;
monitoring the user interaction with the device to identify when the user provides user input indicating an interest in learning more information about content currently being displayed on the electronic device;
wherein said device comprises a TV;
wherein said monitoring further includes monitoring user interaction with the TV;
extracting keywords from the second word buffer based on frequency of appearances of words in the first word buffer by analyzing the closed-caption information provided to the user via the TV currently stored in the first and the second word buffers;
converting the extracted keywords into a foreign language;
determining key information, includes supplementing the extracted keywords with keywords related to contextual information about the content of a channel being watched, based on the extracted keywords when the user input indicating the interest is identified; and
searching available sources for information of potential interest to the user based on said key information.
2. The method of claim 1 further comprising the step of providing information of potential interest to the user based on the searching.
4. The method of claim 1 wherein the first word buffer is reset when the content changes to a different program or story.
5. The method of claim 4 wherein the step of monitoring further includes monitoring which content the user chooses to access via the device.
6. The method of claim 5 wherein the step of monitoring further includes monitoring the closed-caption information provided via the channel the user chooses to access via the device.
7. The method of claim 1 wherein the step of extracting keywords further includes:
converting the closed-caption information into text; and
analyzing the text to determine keywords and/or key phrases of interest to the user.
8. The method of claim 1 wherein the step of extracting keywords further includes the steps of:
converting the closed-caption information into text;
removing stop words in the text; and
selecting remaining information in the text as key information, based on the number of occurrences of such remaining information.
9. The method of claim 1 wherein the step of extracting keywords further includes:
removing stop words in the text;
for each remaining word, when case information is absent, detecting a proper noun by comparing the word against a dictionary, otherwise detecting a proper noun based on the case of the first character of each word;
determining and indexing frequency of occurrences of the words remaining; and
extracting words of interest to the user based on frequency and related proper noun detection.
10. The method of claim 9 wherein the step of extracting words of interest further includes:
ranking a set of remaining words based on certain ranking criteria;
checking a set of the remaining words for proper nouns; and
generating a ranked list from the ranked words and proper nouns as keywords, wherein high ranking words and proper nouns are of higher priority.
receiving user selection from the information of potential interest to the user; and
the device is connected to a local area network; and
searching available sources further includes forming a query based on the key information, and searching the Internet using the query.
13. A system for providing access to information of potential interest to a user of a device, comprising:
an indexer that is configured to while content is being displayed on the device, periodically update a first word buffer in the memory with words extracted from closed captioning information corresponding to the content since a beginning of a program or story and periodically updating a second word buffer in the memory with words extracted from closed captioning information corresponding to the content based on a most recent n seconds, wherein n is a preset value such that the second word buffer maintains keywords only present in the closed captioning information during the last n seconds of time;
a monitor that is configured to monitor user interaction with the device;
wherein said monitor further configured to monitor user interaction with the TV;
an analyzer that is configured to extract keywords from the second word buffer based on frequency of appearances of words in the first word buffer by analyzing the closed-caption information provided to the user via the TV currently stored in the first and the second word buffers and to determine key information, includes supplementing the extracted keywords with keywords related to contextual information about the content of a channel being watched, based on the extracted keywords when the user input indicating the interest is identified;
a converter configured to converting the extracted keywords into a foreign language; and
a searcher configured to search for information of potential interest to the user based on said key information.
14. The system of claim 13 wherein the searcher is further configured to cause searching of available sources for information of potential interest to the user based on said key information.
15. The system of claim 14 further comprising a display configured to display the search results to the user as information of potential interest to the user.
said searcher is further configured to provide the search results to the user as information of potential interest to the user and receive user selection from the information of potential interest to the user; and
the analyzer is configured to cause further searching of available sources for additional information of potential interest to the user based on the user selected information.
17. The system of claim 14 wherein the analyzer is further configured to form a query based on the key information, and to cause searching of an external network using the query.
18. The system of claim 14 wherein the monitor is further configured to monitor which information the user chooses to receive on the TV.
19. The system of claim 18 wherein the monitor is further configured to monitor which channels the user chooses to view on the TV.
20. The system of claim 19 wherein the monitor is further configured to monitor the closed-caption information provided via the channel the user chooses to view on the TV.
21. The system of claim 20 wherein the analyzer comprises:
the converter that is configured to convert the closed-caption information into text; and
an extractor that is configured to analyze the text to determine keywords and/or key phrases of potential interest to the user.
22. The system of claim 20 wherein the analyzer comprises:
the converter that is configured to convert the closed-caption information into text;
a stop word filter that is configured to remove stop words in the text; and
an extractor that is configured to determine words of interest to the user as keywords.
23. The system of claim 20 wherein the analyzer comprises:
a stop word filter that is configured to remove stop words in the text;
the indexer that is configured to determine frequency of occurrence of the remaining words; and
an extractor that is configured to determine words of interest to the user as keywords based on frequency of occurrence.
24. The system of claim 23 wherein the extractor is further configured to rank a set of remaining words based on certain ranking criteria, to generate a ranked list from the ranked words and proper nouns, and to generate keywords from the ranked list.
25. The system of claim 20 wherein the analyzer comprises:
the indexer that is configured to determine frequency of occurrence of the remaining words;
a proper noun detector that is configured such that for each remaining word, when case information is absent, the proper noun detector detects a proper noun by comparing the word against a dictionary, otherwise detects a proper noun based on the case of the first character of the word; and
an extractor that is configured to determine words of interest to the user as keywords based on frequency of occurrence and related proper noun detection.
26. The system of claim 13 wherein:
the electronic device is configured for connection to a local area network; and
the analyzer is further configured to form a query based on the key information, and causing searching of the Internet using the query.
a controller that is configured to provide access to information of potential interest to the user of the device, the controller including:
an indexer that is configured to, while content is being displayed on the device � periodically update a first word buffer in the memory with words extracted from closed captioning information corresponding to the content since a beginning of a program or story, and periodically updating a second word buffer in the memory with words extracted from closed captioning information corresponding to the content based on a most recent n seconds, wherein n is a preset value, such that the second word buffer maintains keywords only present in the closed captioning information during the last n seconds of time;
an analyzer that is configured to extract keywords from the second word buffer based on frequency of appearances of words in the first word buffer by analyzing the closed-caption information provided to the user via the TV currently stored in the first and the second word buffers and to determine key information, includes supplementing the extracted keywords with keywords related to contextual information about the content of a channel being watched, based on the extracted keywords when the user input indicating the interest is identified; and
a converter configured to convert the extracted keywords into a foreign language.
28. The device of claim 27 wherein the analyzer is further configured to cause searching of available sources for information of potential interest to the user based on said key information.
29. The device of claim 28 further comprising a display configured to display the search results to the user as information of potential interest to the user.
30. The device of claim 28 wherein the analyzer is further configured to form a query based on the key information, and to cause searching of an external network using the query.
31. The device of claim 28 wherein the monitor is further configured to monitor which information the user chooses to receive on the device.
32. The device of claim 31 wherein the monitor is further configured to monitor which channels the user chooses to receive on the device.
33. The device of claim 32 wherein the monitor is further configured to monitor the closed-caption information provided via the channel the user chooses to access via the device.
34. The device of claim 33 wherein the analyzer comprises:
35. The device of claim 33 wherein the analyzer comprises:
36. The device of claim 35 wherein the extractor is further configured to rank a set of remaining words based on certain ranking criteria, to generate a ranked list from the ranked words and proper nouns, and to generate keywords from the ranked list.
37. The device of claim 33 wherein the analyzer comprises:
38. The device of claim 33 wherein the analyzer comprises:
an extractor that is configured to determine words of interest to the user as keywords based on frequency of occurrence and related proper noun detection. Description
FIELD OF THE INVENTION The present invention relates to a method and a system for providing users access to information of interest.
BACKGROUND OF THE INVENTION The number of networked devices in local area networks such as home networks is on the rise, and so is the amount of data stored on them. Typically, home network users store and access several types of content (such as audio, video, image and other data files) in different formats on/via their home devices. In addition to accessing these, home users also commonly access audio/video broadcast data streams via broadcast television or cable networks.
BRIEF SUMMARY OF THE INVENTION The present invention provides a method and system for providing access to information of potential interest to a user. In one embodiment, this involves analyzing closed-caption information and obtaining information of interest to a user, without limiting specific sources of information. Such an approach is useful in providing access to information of potential interest to a user of an electronic device, by monitoring the user interaction with the device to identify information accessed by the user, determining key information based on the identified information, wherein the identified information includes closed-caption information, and searching available sources for information of potential interest to the user based on said key information. Searching available sources includes forming a query based on the key information, and searching an external network such as the Internet using the query.
BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 shows an example of a network of electronic devices that implements an embodiment of the present invention.
DETAILED DESCRIPTION OF THE INVENTION The present invention provides a method and a system for analyzing and obtaining information of interest to a user, without limiting specific sources of information. Potential information that the user may be interested in is determined by monitoring the user's interactions with a device in a local network of devices, connected to an external network. Such a device can be a CE device in a local area network (e.g., a home network) that is connected to the Internet.
The search results are presented to the user as recommendations, comprising potential search queries which may be selected by the user and executed to find further information on the Internet that may be of interest to the user. For example, while the user is watching a documentary on Antarctica on a TV, the keyword Antarctica is selected as a keyword and a search on the Internet returns �polar bears� as a recommendation of potential interest to the user. The user can then choose that recommendation to find more information about polar bears. If so, a query for �polar bears� is sent to a search engine and the results are displayed for the user.
Step 302: The CC information transformed into text by the converter 202 using known transformation methods. Step 304: The stop words in the text are removed by the Stop Word Filter 204. Stop words include words such as �of�, �on�, �the� etc., which have no meaning by themselves. Step 306: Using the Proper Noun Detector 206, when case information is absent, proper nouns are detected (identified) by comparing each word in the remaining text against the Dictionary 210. Typically, proper nouns start with uppercase letters. On other occasions, the text obtained is case insensitive. The Dictionary 210 includes words that are not proper nouns. If the word under consideration is not present in the Dictionary 210, then it is assumed to be a proper noun. Proper nouns convey useful contextual information as they refer to specific names of people, places or things. Words identified as proper nouns are therefore tagged by the Proper Noun Detector 206 for ranking later. Step 308: Using the Proper Noun Detector 206, when case information is present, proper nouns are detected based on the case of the first character of each word. Proper nouns are tagged by the Proper Noun Detector 206 for ranking later. Step 310: The remaining words, and the number of their occurrences (frequency), is recorded by the Indexer 208. More frequent words are important words, from which keywords will be selected. The record of words are reset as soon as the channel is changed or a topic change is discovered using special characters in the text obtained from the CC information. Step 312: The Indexer 208 maintains words identified within an n second window (i.e., words received within an n second period of time, which may be the last n seconds) and their frequencies and proper noun related information. For example, an n=10 second window includes the words gathered in the past 10 seconds. The keywords indexed in step 310 cover the entire current TV program/story, etc., being watched, while the keywords discussed in this step, cover those gathered in the last �n� seconds. Step 314: The frequency of all words is used by the Keyword Extractor 212 to extract words (i.e., keywords) of interest from all words gathered from the past n seconds. Step 316: The keywords are used for forming queries in a Query Formation module 205 for performing searches on available resources such as search engines on the Internet 50 by a Searching module 207. A User Interface (UI) module 203 presents the search results to the user as recommendations for optional further selection. Step 318: The user selects among the recommendations, wherein the selected recommendation are used by the Searching module 207 for searching the available resources for additional information of interest to the user. Such additional information is presented to the user by the UI module 203. Steps 316 and 318 allow the user to find more information about a program that the user recently viewed on the TV, and can be repeated as the user desires to provide the user with additional and/or further refined information of interest to the user.
Step 314A: When the user activates a specific button on the TV control (e.g., a TV remote control), this provides a User Request that includes the user action. Upon a User Request, the words in the last n seconds are set aside as the words of most importance by the Keyword Extractor 212. Step 314B: Further, each word is ranked based on its frequency or another ranking mechanism. Step 314C: Each word is also checked for proper noun status, using the tag generated in steps 308 or 310. Step 314D: A ranked list is produced wherein, in one example, high frequency words that are also proper nouns occupy the top of the list. Then follow the high frequency words and then words that are proper nouns. The top i words from the ranked list along with the high frequency words and the proper nouns identified since the start of the TV program, capture the context of what the user is watching. The information from the ranked list is used as keywords. Words captured in the n second window represent the context at a finer level of detail, whereas the proper nouns and high frequency words captured since the start of the program represent the context at a higher level. Using Electronic Program Guide (EPG) information, which includes information about TV programs on cable TV, satellite TV, etc., the name of the channel being viewed, is used to frame the queries in steps 316, 318, along with the channel and program information. For example, when the user is viewing the �Panorama� program on BBC America, the words �Panorama� and �BBC America� are appended to the extracted keywords to provide related information in the context of the channel and program for searching.
FIG. 4 shows a functional block diagram of another example of a system 400 for analyzing TV CC information to find related information on the Internet, according to the present invention. The system 400 is a variation of system 200 in FIG. 2, and further includes a Phrase Extractor 214 to identify phrases, in addition to keywords. An example of a phrase can be �Baltimore Ravens� instead of the keywords �Baltimore� and �Ravens.�
In operation, the gathered CC text is first passed through the phrase identifier to capture phrases, and then the captured phrases are indexed. The phrase identifier internally maintains three lists: a list of proper nouns, a dictionary, and a list of stop words. The phrase identifier uses an N-gram based approach to phrase extraction, in which conceptually, to capture a phrase of length �N� words, a window of size �N� words is slid across the text and all possible phrases (of length �N� words) are collected. Then they are passed through the following set of three rules to filter out meaningless phrases:
1. A word ending with punctuation cannot be in the middle of a phrase. 2. For a phrase length of two words or more, the first word cannot be a stop word other than the two articles: �the� (definite) and �a/an� (indefinite) and the rest of the words cannot be stop words other than conjunctive stop words like �the�, �on�, �at�, �of�, �in�, �by�, �for�, �and� etc. This is because the above mentioned stop words are often used to combine two or more words: e.g., �war on terror�, �wizard of oz�, �the beauty and the beast�, etc. 3. Proper nouns and words not present in the dictionary are treated as meaningful phrases. The Phrase Extractor 214 includes a term extractor function which extracts the highest score terms and phrases from the index. The terms and phrases are presented to the user and can be used for further searching to provide additional information of interest to the user.
Alternatively, the Phrase Extractor 214 includes a natural language processing (NLP) tagger and a set of extraction rules to extract important phrases. In operation, the NLP tagger tags each word in the closed caption text with its part-of-speech (i.e. whether the word is a �noun�, �adjective�, �proper noun� etc.) The extraction rules define the kinds of sequences of such tags that are important. For example, a rule can be to extract phrases which are �a sequence of more than one �proper nouns�� and another rule can be to extract �a sequence of one or more �adjectives� followed by one or more �nouns�.� The Phrase Extractor applies these rules to the text tagged by the part-of-speech tagger and extracts phrases that follow these sequences. It can also be used to extract single word keywords by using appropriate rules.
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