supported by National Natural Science Foundation of China (Grant Nos. 61602537, 61272398, U1509214, U1405255);Beijing Municipal Philosophy and Social Science Foundation (Grant No. 16XCC023);National High Technology Research and Development Program of China (863 Program) (Grant No. 2015AA016007)
Dear editor, Recently, a new paradigm of location-aware recommender system (LARS) has become increasingly popular. Compared with traditional recommendation systems such as collaborative filtering and content-based r...
supported by National Natural Science Foundation of China(Grant Nos.61202179,U1405255,61502368,U1509214,U1135002);National High Technology Research and Development Program(863 Program)(Grant No.2015AA016007);Shaanxi Provincial Natural Science Foundation(Grant No.2015JQ6227);China 111 Project(Grant No.B16037);Fundamental Research Funds for the Central Universities(Grant Nos.JB150308,JB150309)
Location-aware recommender systems that use location-based ratings to produce recommendations have recently experienced a rapid development and draw significant attention from the research community. However, current ...