144 results about "Item Collection" patented technology

A method for managing a group of owned and for-purchase media items in response to a single user action. The method treats the owned media items and the for-purchase media items similarly with respect to the user's interaction with them, facilitating a user paradigm-shift from thinking about two stores of media items to a single store of media items available for use. A media item grouping generic to both types of media items is provided, permitting sharing of media item collections between users having different access rights with respect to the media items.

Computer-implemented processes are disclosed for clustering items and improving the utility of item recommendations. One process involves applying a clustering algorithm to a user's collection of items. Information about the resulting clusters is then used to select items to use as recommendation sources. Another process involves displaying the clusters of items to the user via a collection management interface that enables the user to attach cluster-level metadata, such as by rating or tagging entire clusters of items. The resulting metadata may be used to improve the recommendations generated by a recommendation engine. Another process involves forming clusters of items in which a user has indicated a lack of interest, and using these clusters to filter the output of a recommendation engine. Yet another process involves applying a clustering algorithm to the output of a recommendation engine to arrange the recommended items into cluster-based categories for presentation to the user.

Methods and apparatus for a recommendation system based on collaborative filtering is provided. Explicit and implicit ratings of items by network users are used to create a contextual model. The explicit ratings comprise different rating types regarding different item attributes. The implicit ratings comprise different rating types derived from different user events and may include recency, intensity, or frequency ratings. The contextual model may be optimized for a specific objective function, such as click-through-rate or conversion rate. In other embodiments, item information is used to produce a content model where item information for an item is encoded as metadata into a document that represents the item. The contextual or content model is used to recommend one or more items to a current user. The basic unit of the recommendation system may be an item set of two or more items or a particular sequence of two or more items.

A rules-based software architecture that provides the infrastructure for the definition and execution of end-user rules logic. This enables end-user automation of data in a unified storage platform using simple IF-THEN rules. The architecture includes a monitoring component that tracks items associated with the data, and a rules component interfaces to the rules component, and employs metadata associated with the tracked items to provide for automated handling of a subset of the items. The system further provides for defining virtual collections and items in the system using content based logic. The system further comprises one or more trigger components that sets items and collections of items dynamically active as a function of trigger logic. Additional components can include a constraint component for imposing constraint logic on items, and a decision component that supports enabling application customization logic at decision points.

Classification of collections of items such as words, which are called “document classification,” and more specifically explaining a classification of a document, such as a web-page or website. This can include exemplary procedure, system and / or computer-accessible medium to find explanations, as well as a framework to assess the procedure's performance. An explanation is defined as a set of words (e.g., terms, more generally) such that removing words within this set from the document changes the predicted class from the class of interest. The exemplary procedure system and / or computer-accessible medium can include a classification of web pages as containing adult content, e.g., to allow advertising on safe web pages only. The explanations can be concise and document-specific, and provide insight into the reasons for the classification decisions, into the workings of the classification models, and into the business application itself. Other exemplary aspects describe how explaining documents' classifications can assist in improving the data quality and model performance.