Abstract: Embodiments of the present invention relate to a system and method for discovering knowledge communities. Embodiments of the present invention may comprise providing user access to a network of documents, gathering document access data relating to user access of each document in the network of documents and document authorship and review data, and establishing relationships between users and documents based on the document access data and document authorship and review data. Further, embodiments of the present invention may comprise establishing a network of users that are linked by common document access patterns based on the relationships between users and documents, and clustering communities of users within the network.

Abstract: A method and system for ranking results for a network search query. The method includes receiving a network search query; obtaining weblogs relevant to the search query from a database; scoring the weblogs based on a time when information pertaining to the search query appeared on weblogs; and displaying a ranking of the weblogs.

Abstract: Demographic information of an Internet user is predicted based on an analysis of accessed web pages. Web pages accessed by the Internet user are detected and mapped to a user path vector which is converted to a normalized weighted user path vector. A centroid vector identifies web page access patterns of users with a shared user profile attribute. The user profile attribute is assigned to the Internet user based on a comparison of the vectors. Bias values are also assigned to a set of web pages and a user profile attribute can be predicted for an Internet user based on the bias values of web pages accessed by the user. User attributes can also be predicted based on the results of an expectation maximization process. Demographic information can be predicted based on the combined results of a vector comparison, bias determination, or expectation maximization process.

Abstract: Demographic information of an Internet user is predicted based on an analysis of accessed web pages. Web pages accessed by the Internet user are detected and mapped to a user path vector which is converted to a normalized weighted user path vector. A centroid vector identifies web page access patterns of users with a shared user profile attribute. The user profile attribute is assigned to the Internet user based on a comparison of the vectors. Bias values are also assigned to a set of web pages and a user profile attribute can be predicted for an Internet user based on the bias values of web pages accessed by the user. User attributes can also be predicted based on the results of an expectation maximization process. Demographic information can be predicted based on the combined results of a vector comparison, bias determination, or expectation maximization process.

Abstract: A method, apparatus, and system are disclosed for selecting cohorts to participate in information aggregation. One embodiment is a method for software execution. The method includes building a profile of plural individuals from information extracted from documents that include names of the individuals; disambiguating ambiguous names of the plural individuals in the documents; and selecting cohorts from the plural individuals to participate in information aggregation.

Abstract: Demographic information of an Internet user is predicted based on an analysis of accessed web pages. Web pages accessed by the Internet user are detected and mapped to a user path vector which is converted to a normalized weighted user path vector. A centroid vector identifies web page access patterns of users with a shared user profile attribute. The user profile attribute is assigned to the Internet user based on a comparison of the vectors. Bias values are also assigned to a set of web pages and a user profile attribute can be predicted for an Internet user based on the bias values of web pages accessed by the user. User attributes can also be predicted based on the results of an expectation maximization process. Demographic information can be predicted based on the combined results of a vector comparison, bias determination, or expectation maximization process.

Abstract: Demographic information of an Internet user is predicted based on an analysis of accessed web pages. Web pages accessed by the Internet user are detected and mapped to a user path vector which is converted to a normalized weighted user path vector. A centroid vector identifies web page access patterns of users with a shared user profile attribute. The user profile attribute is assigned to the Internet user based on a comparison of the vectors. Bias values are also assigned to a set of web pages and a user profile attribute can be predicted for an Internet user based on the bias values of web pages accessed by the user. User attributes can also be predicted based on the results of an expectation maximization process. Demographic information can be predicted based on the combined results of a vector comparison, bias determination, or expectation maximization process.

Abstract: Demographic information of an Internet user is predicted based on an analysis of accessed web pages. Web pages accessed by the Internet user are detected and mapped to a user path vector which is converted to a normalized weighted user path vector. A centroid vector identifies web page access patterns of users with a shared user profile attribute. The user profile attribute is assigned to the Internet user based on a comparison of the vectors. Bias values are also assigned to a set of web pages and a user profile attribute can be predicted for an Internet user based on the bias values of web pages accessed by the user. User attributes can also be predicted based on the results of an expectation maximization process. Demographic information can be predicted based on the combined results of a vector comparison, bias determination, or expectation maximization process.

Abstract: A method and apparatus for building an abbreviation dictionary involves searching through a set of source documents. The abbreviations having likely definitions are identified and the definitions extracted from the document. The definitions having identical associated abbreviations are grouped together. The definition groups are each arranged into clusters based on an n-gram or other combinatorial method to determine similar definition. Further disambiguation is provided by looking at similarity between clusters using an annotation associated with the source documents from which the definitions were extracted.

Abstract: Embodiments of the present invention relate to a system and method for discovering knowledge communities. Embodiments of the present invention may comprise providing user access to a network of documents, gathering document access data relating to user access of each document in the network of documents and document authorship and review data, and establishing relationships between users and documents based on the document access data and document authorship and review data. Further, embodiments of the present invention may comprise establishing a network of users that are linked by common document access patterns based on the relationships between users and documents, and clustering communities of users within the network.

Abstract: A method and system for ranking results for a network search query. The method includes receiving a network search query; obtaining weblogs relevant to the search query from a database; scoring the weblogs based on a time when information pertaining to the search query appeared on weblogs; and displaying a ranking of the weblogs.

Abstract: A system and method for reputation rating is disclosed. The method discloses: collecting a set of reputation ratings on a target entity from a set of reputation rating entities; attributing a weight to each of the reputation ratings based on a set of filtering criteria; and combining the weighted reputation ratings to generate a filtered reputation rating with respect to the target entity. The system discloses various means, mediums and systems for effecting the method.

Abstract: A method of finding genes associated with a disease, includes: finding all potential gene symbols; folding at least one alias into official gene symbols; and computing the relevance of each official symbol to the disease. The method may further include, eliminating non-gene symbols by use of contextual clues.

Abstract: A system and method of caching uses quality or value attributes, provided for example, by a recommender system or by a dynamical analysis of site accesses, which are attached to cached information to prioritize items in the cache. Documents are prioritized in the cache according to the relative value of their content. Value data may be provided from a recommender system which provides a value for a document according to user recommendations (using explicit recommendations) or from statistical analysis of site visits from unique users (implicit recommendations) or a combination of the two to identify the higher value documents.

Abstract: A method of finding genes associated with a disease, includes: finding all potential gene symbols; folding at least one alias into official gene symbols; and computing the relevance of each official symbol to the disease. The method may further include, eliminating non-gene symbols by use of contextual clues.

Abstract: Demographic information of an Internet user is predicted based on an analysis of accessed web pages. Web pages accessed by the Internet user are detected and mapped to a user path vector which is converted to a normalized weighted user path vector. A centroid vector identifies web page access patterns of users with a shared user profile attribute. The user profile attribute is assigned to the Internet user based on a comparison of the vectors. Bias values are also assigned to a set of web pages and a user profile attribute can be predicted for an Internet user based on the bias values of web pages accessed by the user. User attributes can also be predicted based on the results of an expectation maximization process. Demographic information can be predicted based on the combined results of a vector comparison, bias determination, or expectation maximization process.

Abstract: A system and method of caching uses quality or value attributes, provided for example, by a recommender system or by a dynamical analysis of site accesses, which are attached to cached information to prioritize items in the cache. Documents are prioritized in the cache according to the relative value of their content. Value data may be provided from a recommender system which provides a value for a document according to user recommendations (using explicit recommendations) or from statistical analysis of site visits from unique users (implicit recommendations) or a combination of the two to identify the higher value documents. The caching method may also be used to improve performance of a recommender system.

Abstract: A system and method of caching uses quality or value attributes, provided for example, by a recommender system or by a dynamical analysis of site accesses, which are attached to cached information to prioritize items in the cache. Documents are prioritized in the cache according to the relative value of their content. Value data may be provided from a recommender system which provides a value for a document according to user recommendations (using explicit recommendations) or from statistical analysis of site visits from unique users (implicit recommendations) or a combination of the two to identify the higher value documents. The caching method may also be used to improve performance of a recommender system.