Abstract: A set of item-item affinities for a plurality of items is determined based on collaborative-filtering techniques. A set of an item's nearest neighbor items based on the set of item-item affinities is determined. A set of user feature-item affinities for the plurality of items and a set of user features is determined based on least squared regression. A set of a user feature's nearest neighbor items is determined based in part on the set of user feature-item affinities. Compatible affinity weights for nearest neighbor items of each item and each user feature are determined. Based on user features of a user and items a user has consumed, a set of nearest neighbor items are identified as a set of candidate items, and affinity scores of candidate items are determined. Based on the affinity scores, a candidate item from the set of candidate items is recommended to the user.

Abstract: In general, the present disclosure includes a system, method and architecture for use in analyzing content of a social network data to identify a financial market trend, e.g., a trend associated with a financial market instrument.

Abstract: Systems and methods, including user interfaces, are provided for implementing searches using contextual information associated with a Web page (or other document) that a user is viewing when a query is entered. The page includes a contextual search interface that has an associated context vector representing content of the page. When the user submits a search query via the contextual search interface, the query and the context vector are both provided to the query processor and used in responding to the query.

Abstract: A technique is provided for providing a trust indicator for a particular webpage. The trust indicator may indicate whether publishers of web content and/or end-users trust the content of the particular webpage and whether the particular webpage is popular. A user requests, via a web browser a webpage to be displayed. A process associated with the webpage requests a value to be displayed along with the webpage. The value may indicate 1) a number of links that link to the webpage, 2) a number of user-created tags that have been associated with the webpage, or 3) a trust rank that a web crawler associates with the webpage. A trust rank may be based, at least in part, on user-created tags that have been associated with the webpage. A value may also be associated with an advertisement that is displayed along with a particular webpage.