While early recommender systems have mostly focused on numeric ratings to model their
interests, recent research in this area has explored a range of other sources that can provide …

Standard Collaborative Filtering (CF) algorithms make use of interactions between users
and items in the form of implicit or explicit ratings alone for generating recommendations …

In web services environment, making an appropriate service recommendation to improve
the web service composition ability and decrease composition cognition is a promising …

In our current knowledge-driven society, many information systems encourage users to
utilize their online social connections' information collections actively as useful sources. The …

Combining social network information with collaborative filtering recommendation
algorithms has helped to alleviate some drawbacks of collaborative filtering, for example, the …

The explosive growth of social networks has led to prolific availability in customer tastes and
preferences. This data can be exploited to serve the customers better and offer them the …

Combining social network information with collaborative filtering recommendation
algorithms has successfully reduced some of the drawbacks of collaborative filtering and …

This study is about the place of French and French speakers in the Saskatchewan political
community. Beginning with the political foundations of western Canada in 1870, it argues …

(74) Attorney, Agent, or Firm—Terrile, Cannatti & Chambers; Stephen A. Terrile (57)
ABSTRACT A system, method, and computer-readable medium are dis closed for …

Combining social network information with collaborative filtering recommendation
algorithms has successfully reduced some of the drawbacks of collaborative filtering and …