VRer: Context-Based Venue Recommendation using embedded space ranking SVM in location-based social network

摘要

Venue recommendation has attracted a lot of research attention with the rapid development of Location Based Social Networks. The effectiveness of venue recommendation largely depends on how well it captures users' contexts or preferences. However, it is quite difficult, if not impossible, to capture the whole information about users' preferences. In addition, users' preferences are often heterogeneous (i.e., some preferences are static and common to all users while some preferences are dynamic and diverse). Existing venue recommendation does not well address the aforementioned issues and often recommends the most popular, the cheapest, or the closest venues based on simple contexts.