In recent years, education institutions have offered a wide range of course selections with
overlaps. This presents significant challenges to students in selecting successful courses …

Travelling is a combination of journey, transportation, travel-time, accommodation, weather,
events, and other aspects which are likely to be experienced by most of the people at some …

For offering proactive services (eg, personalized exercise recommendation) to the students
in computer supported intelligent education, one of the fundamental tasks is predicting …

Location-based social networks (LBSNs) provide people with an interface to share their
locations and write reviews about interesting places of attraction. The shared locations form …

Canonical correlation analysis (CCA) has proven an effective tool for two-view dimension
reduction due to its profound theoretical foundation and success in practical applications. In …

The increasing proliferation of location-based social networks brings about a huge volume
of user check-in data, which facilitates the recommendation of points of interest (POIs). Time …

Social recommendation has achieved great success in many domains including e-
commerce and location-based social networks. Existing methods usually explore the user …

Collaborative filtering (CF) is one of the most popular techniques for building recommender
systems. To overcome the data sparsity in CF, social recommender systems have emerged …

As an e-commerce feature, the recommender system can enhance the consumer shopping
experience and create huge benefits for businesses. The e-tourism has become one of the …

This article proposes LA-LDA, a location-aware probabilistic generative model that exploits
location-based ratings to model user profiles and produce recommendations. Most of the …