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Network Embedding-Aware Point-of-Interest Recommendation in Location-Based Social Networks
2019
Complexity
As one of the important techniques to explore unknown places for users, the methods that are proposed for point-of-interest (POI) recommendation have been widely studied in recent years. Compared with traditional recommendation problems, POI recommendations are suffering from more challenges, such as the cold-start and one-class collaborative filtering problems. Many existing studies have focused on how to overcome these challenges by exploiting different types of contexts (e.g., social and
doi:10.1155/2019/3574194
fatcat:yvdlqwr77jahlovqada6e2zs2e