Abstract: Methods for developing an ontology of pharmacogenomics (PGx) relationships starting from a lexicon of key pharmacogenomic entities and a syntactic parse is described. The syntactic structure of PGx statements is used to systematically extract commonly occurring relationships and to map them to a common schema. In an embodiment, extracted relationships have a 70-87.7% precision and involve not only key PGx entities such as genes, drugs, and phenotypes (e.g., VKORC1, warfarin, clotting disorder), but also critical entities that are frequently modified by these key entities (e.g., VKORC1 polymorphism, warfarin response, clotting disorder treatment).

Abstract: Techniques for measuring user engagement with online products and content are described. According to various embodiments, user sequence flow information is generated for a given member, based on online session log data, the user sequence flow information indicating a chronological sequence of steps and associated activities, each of the activities being any one of a product page view activity and a user action activity. The generation of the user sequence flow information may comprise grouping one or more sequential page views of a product described in the online session log data for the member into a product page view activity in the user sequence flow information, and grouping one or more sequential user actions performed in conjunction with a product described in the online session log data for the member into a user action activity in the user sequence flow information.

Abstract: Techniques for measuring user engagement with online products and content are described. According to various embodiments, user sequence flow information is generated for a given member, based on online session log data, the user sequence flow information indicating a chronological sequence of steps and associated activities, each of the activities being any one of a product page view activity and a user action activity. The generation of the user sequence flow information may comprise grouping one or more sequential page views of a product described in the online session log data for the member into a product page view activity in the user sequence flow information, and grouping one or more sequential user actions performed in conjunction with a product described in the online session log data for the member into a user action activity in the user sequence flow information.

Abstract: Methods for developing an ontology of pharmacogenomics (PGx) relationships starting from a lexicon of key pharmacogenomic entities and a syntactic parse is described. The syntactic structure of PGx statements is used to systematically extract commonly occurring relationships and to map them to a common schema. In an embodiment, extracted relationships have a 70-87.7% precision and involve not only key PGx entities such as genes, drugs, and phenotypes (e.g., VKORCl, warfarin, clotting disorder), but also critical entities that are frequently modified by these key entities (e.g., VKORCl polymorphism, warfarin response, clotting disorder treatment).