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Seven Recently Published Patent Applications from Microsoft Deal with Computation of Web Page Ranking, Calculating a Docments Importance, and Search Spam Detection and More

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Patent watchers might be interested in reviewing seven of recently published patent applications from Microsoft that deal with computing a web page ranking, calculating a documents "importance," web search spam, and more.

Title: Efficient computation of web page rankings
Filed: July 1, 2004
Abstract: Methods and systems are provided for efficiently computing page rankings of web pages or other interconnected objects. The rankings are produced by efficiently computing a principal eigenvector of a page ranking transition matrix. The methods and systems provided herein can be used to produce page rankings in a distributed and/or incremental manner, and can be used to allocate computing resources to processing page rankings for those pages that most demand them.


Title: Method and system for calculating document importance using document classifications
Filed: June 30, 2004
Abstract: A system for calculating the importance of web pages is provided. The web pages are organized hierarchically into collections. The system calculates the importance of each collection based on inter-collection links from a web page in one collection to a web page in another collection. The system then calculates the importance of web pages in the collections with a high calculated importance based on links between the web pages in those collections using, for example, a conventional page rank algorithm. The system may also calculate the importance of web pages in each collection with a low calculated importance separately based on the links between the web pages in the collection using, for example, a conventional page rank algorithm.


Title: System and method for generating normalized relevance measure for analysis of search results
Filed: June 30, 2004
Abstract" A system and related techniques permit a search service operator to access a variety of disparate relevance measures, and integrate those measures into idealized or unified data sets. A search service operator may employ self-learning networks to generate relevance rankings of Web site hits in response to user queries or searches, such as Boolean text or other searches. To improve the accuracy and quality of the rankings of results, the service provider may accept as inputs relevance measures created from query logs, from human-annotated search records, from independent commercial or other search sites, or from other sources and feed those measures to a normalization engine. That engine may normalize those relevance ratings to a common scale, such as quintiles, percentages or other scales or levels. The provider may then use that idealized or normalized combined measure to, for example, train the search algorithms or heuristics to arrive at better or more accurate results.


Title: Search engine spam detection using external data
Filed: May 21, 2004
Abstract: Evaluating an electronic document in connection with a search. An external source provides data for use in evaluating an electronic document retrieved by a search engine. A first confidence level of the electronic document is determined based on the externally provided data. The first confidence level indicates a likelihood that the electronic document is undesirable. A second confidence level of the electronic document is determined based on attributes of the electronic document. The second confidence level indicates a likelihood that the electronic document is unsatisfactory with respect to a search. A rating for the electronic document generated as a function of the determined first confidence level and the determined second confidence level is used to categorize the electronic document as unsatisfactory in connection with a received search request.


Title: System and method for ranking search results based on tracked user preferences
Filed: June 30, 2004
Abstract: A method and system are provided for ranking search results based on user preferences. The method includes monitoring user selections in response to user receipt of search results and tracking metadata related to user selections for user selections that exhibit a threshold satisfaction level. The method additionally includes storing the tracked metadata as user preferences and adjusting a ranking mechanism to increase the weight of user preferences in order to increase a ranking for search results that exhibit user preferences. The method additionally includes storing the user selections and the keyword search upon determining that the user selections exceed a threshold satisfaction level. The method may utilize the stored user selections and keyword search upon receiving a repeat search to alter presentation of new search results to the user.


Title: Dispersing search engine results by using page category information
Filed: July 1, 2004
Abstract: Systems and methods for dispersing search engine results by category. A search engine application queries a searchable index of document data associated with a plurality of electronic documents in response to a search request to identify one or more electronic documents having document data matching data included in the search request. The search engine application disperses identified electronic documents according to category data included in the document data for display to a user.


Title: Presentation-level content filtering for a search result
Filed: July 1, 2004
Abstract: Presenting a search result to a user. One or more electronic documents are identified based on a search query received from a user. A search result is generated in response to identifying the one or more electronic documents. The search result includes presentation data regarding each of the identified electronic documents. An undesirable content of each of the presentation data of each of the identified electronic documents of the search result is identified. A format attribute of the presentation data of the identified undesirable content is modified. The search result including any modifications is then provided to the user.


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