Traditional machine-learned ranking algorithms for web search are trained in batch mode, which assume static relevance of documents for a given query. Although such a batch-learni...
This study examines the usability challenges faced by new players of massively multiplayer online role-playing games (MMORPGs), one of the fastest-growing segments of the video ga...
We present a methodology for enhancing the delivery of usergenerated content in online social networks. To this end, we first regularize the social graph via node capacity and li...
Eliciting user preferences for large datasets and creating rankings based on these preferences has many practical applications in community-based sites. This paper gives a new met...
This paper shows a user-oriented presence synthesizing system, where a user can control not only what she publishes to each buddy but what she sees by synthesizing her buddies’ ...