Abstract: Preferred embodiments of the invention include systems and methods for selecting content from a plurality of channels in response to a received query are described. The invention embodiments include systems and methods that optimize content selection based on received queries and an identification of the user together with analysis of historical data. Embodiments of the invention also include methods for storing historical data including a plurality of queries and user data from a plurality of user databases, analyzing the stored historical data to classify the relevancy of a channel to each of the plurality of queries and user data, storing the classification, and displaying content to user based on such factors as user habits, queries, timing of searches, and content preferences.

Abstract: A fashion preference of a user is determined based on a user's interaction with a plurality of fashion product content items that individually depict a corresponding fashion product. A recommendation is made to a user of a fashion product based at least in part on the fashion preference of the user.

Abstract: Systems and methods for selecting content from a plurality of channels in response to a received query are described. The systems and methods optimize content selection based on received queries and an identification of the user together with analysis of historical data.

Abstract: A method for analyzing, querying, and mining graph databases using subgraph and similarity querying. An index structure, known as a closure tree, is defined for topological summarization of a set of graphs. In addition, a significance model is created in which the graphs are transformed into histograms of primitive components. Finally, connected substructures or clusters, comprising paths or trees, are detected in networks found in the graph databases using a random walk technique and a repeated random walk technique.