Fused matrix factorization with geographical and social influence in location-based social networks
Recently, location-based social networks (LBSNs), such as Gowalla, Foursquare, Facebook,
and Brightkite, etc., have attracted millions of users to share their social friendship and their …
and Brightkite, etc., have attracted millions of users to share their social friendship and their …
Learning to recommend with trust and distrust relationships
With the exponential growth of Web contents, Recommender System has become
indispensable for discovering new information that might interest Web users. Despite their …
indispensable for discovering new information that might interest Web users. Despite their …
Task recommendation in crowdsourcing systems
In crowdsourcing systems, tasks are distributed to networked people to complete such that a
company's production cost can be greatly reduced. Obviously, it is not efficient that the …
company's production cost can be greatly reduced. Obviously, it is not efficient that the …
Taskrec: A task recommendation framework in crowdsourcing systems
Crowdsourcing is evolving as a distributed problem-solving and business production model
in recent years. In crowdsourcing paradigm, tasks are distributed to networked people to …
in recent years. In crowdsourcing paradigm, tasks are distributed to networked people to …
Task matching in crowdsourcing
Crowd sourcing is evolving as a distributed problem-solving and business production model
in recent years. In crowd sourcing paradigm, tasks are distributed to networked people to …
in recent years. In crowd sourcing paradigm, tasks are distributed to networked people to …
Transfer learning in collaborative filtering with uncertain ratings
To solve the sparsity problem in collaborative filtering, researchers have introduced transfer
learning as a viable approach to make use of auxiliary data. Most previous transfer learning …
learning as a viable approach to make use of auxiliary data. Most previous transfer learning …
Tag-based collaborative filtering recommendation in personal learning environments
The personal learning environment (PLE) concept offers a learner-centric view of learning
and suggests a shift from knowledge-push to knowledge-pull approach to learning. One …
and suggests a shift from knowledge-push to knowledge-pull approach to learning. One …
A unified point-of-interest recommendation framework in location-based social networks
Location-based social networks (LBSNs), such as Gowalla, Facebook, Foursquare,
Brightkite, and so on, have attracted millions of users to share their social friendship and …
Brightkite, and so on, have attracted millions of users to share their social friendship and …
Leveraging tagging for neighborhood-aware probabilistic matrix factorization
Collaborative Filtering (CF) is a popular way to build recommender systems and has been
successfully employed in many applications. Generally, two kinds of approaches to CF, the …
successfully employed in many applications. Generally, two kinds of approaches to CF, the …
Userrec: A user recommendation framework in social tagging systems
Social tagging systems have emerged as an effective way for users to annotate and share
objects on the Web. However, with the growth of social tagging systems, users are easily …
objects on the Web. However, with the growth of social tagging systems, users are easily …