Abstract: Disclosed are methods and apparatus for executing a search query. In accordance with one embodiment, a search query is obtained. The search query is classified into one or more of a plurality of categories. The search query is executed for each of the one or more of the plurality of categories. Search results corresponding to the search query are obtained for each of the one or more of the plurality of categories. The search results are then provided for each of the one or more of the plurality of categories.

Abstract: In one embodiment, a search query is received. Information identifying a bookmark representing the search query is automatically stored in association with a set of bookmarks. Search results corresponding to the search query are automatically obtained and provided, where the search results identify one or more documents. When one of the documents is selected, a link to the selected one of the documents is automatically stored in association with the bookmark.

Abstract: A specification of a target web site is received. A number of field web sites related to the target web site are identified. Data values are acquired for a set of metrics for the target and each field web site. These data values are processed to evaluate a standing of the target web site relative to the field web sites, while maintaining anonymity of the field web sites. An average web site is determined by respectively averaging data values for the field web sites. A bounding web site is characterized by the best data values from among all field web sites. Target web site data values are compared to average and/or bounding web site data values at a given time. Variations in differences between target web site data values and corresponding average and/or bounding web site data values over time determines improvement and/or success of the target web site.

Abstract: Methods and apparatus are described for classifying documents using a document representation model based on implicit user feedback obtained from search engine queries. The model may be used to achieve better results in non-supervised tasks such as clustering and labeling through the incorporation of usage data obtained from the search engine queries.

Abstract: Disclosed are methods and apparatus for automatically storing and generating bookmarks. In one embodiment, a search query is received. Information identifying a bookmark representing the search query is automatically stored in association with a set of bookmarks. Search results corresponding to the search query are automatically obtained and provided, where the search results identify one or more documents. When one of the documents is selected, a link to the selected one of the documents is automatically stored in association with the bookmark.

Abstract: In one embodiment, a search query is received. Information identifying a bookmark representing the search query is automatically stored in association with a set of bookmarks. Search results corresponding to the search query are automatically obtained and provided, where the search results identify one or more documents. When one of the documents is selected, a link to the selected one of the documents is automatically stored in association with the bookmark.

Abstract: Web sites are grouped by generating feature space representations of documents, and aggregating the feature space representations into web site vectors. A document vector may be generated for each document of a plurality of documents associated with a set of web sites according to a query-based feature space model. The query-based feature space model defines features of the documents. Each document vector includes weights determined for features associated with the corresponding document. A web site vector is generated for each of the web sites using the plurality of document vectors. The web sites are grouped according to the web site vectors.

Abstract: A specification of a target web site is received. A number of field web sites related to the target web site are identified. Data values are acquired for a set of metrics for the target and each field web site. These data values are processed to evaluate a standing of the target web site relative to the field web sites, while maintaining anonymity of the field web sites. An average web site is determined by respectively averaging data values for the field web sites. A bounding web site is characterized by the best data values from among all field web sites. Target web site data values are compared to average and/or bounding web site data values at a given time. Variations in differences between target web site data values and corresponding average and/or bounding web site data values over time determines improvement and/or success of the target web site.

Abstract: A method of ascribing scores to web documents and search queries generates a hyperlink-click graph by taking the union of the hyperlink and click graphs, takes a random walk on the hyperlink-click graph, and associates the transition probabilities resulting from the random walk with scores for each of the documents and search queries.

Abstract: Disclosed are methods and apparatus for executing a search query. In accordance with one embodiment, a search query is obtained. The search query is classified into one or more of a plurality of categories. The search query is executed for each of the one or more of the plurality of categories. Search results corresponding to the search query are obtained for each of the one or more of the plurality of categories. The search results are then provided for each of the one or more of the plurality of categories.

Abstract: Disclosed are methods and apparatus for automatically storing and generating bookmarks. In one embodiment, a search query is received. Information identifying a bookmark representing the search query is automatically stored in association with a set of bookmarks. Search results corresponding to the search query are automatically obtained and provided, where the search results identify one or more documents. When one of the documents is selected, a link to the selected one of the documents is automatically stored in association with the bookmark.

Abstract: A method of ascribing scores to web documents and search queries generates a hyperlink-click graph by taking the union of the hyperlink and click graphs, takes a random walk on the hyperlink-click graph, and associates the transition probabilities resulting from the random walk with scores for each of the documents and search queries.

Abstract: Methods and apparatus are described for classifying documents using a document representation model based on implicit user feedback obtained from search engine queries. The model may be used to achieve better results in non-supervised tasks such as clustering and labeling through the incorporation of usage data obtained from the search engine queries.

Abstract: Methods and apparatus are described for mining user queries found within the access logs of a website and for relating this information to the website's overall usage, structure, and content. Such techniques may be used to discover valuable information to improve the quality of the website, allowing the website to become more intuitive and adequate for the needs of its users.

Abstract: Methods and apparatus are described for mining user queries found within the access logs of a website and for relating this information to the website's overall usage, structure, and content. Such techniques may be used to discover valuable information to improve the quality of the website, allowing the website to become more intuitive and adequate for the needs of its users.