@inproceedings{46c33a7a888f473d8bb2ed713fa4c1df,
title = "CoSoLoRec: Joint factor model with content, social, location for heterogeneous point-of-interest recommendation",
abstract = "The pervasive use of Location-based Social Networks calls for more precise Point-of-Interest recommendation. The probability of a user{\textquoteright}s visit to a target place is influenced by multiple factors. Though there are several fusion models in such fields, heterogeneous information are not considered comprehensively. To this end, we propose a novel probabilistic latent factor model by jointly considering the social correlation, geographical influence and users{\textquoteright} preference. To be specific, a variant of Latent Dirichlet Allocation is leveraged to extract the topics of both user and POI from reviews which is denoted as explicit interest. Then, Probabilistic Latent Factor Model is introduced to depict the implicit interest. Moreover, Kernel Density Estimation and friend-based Collaborative Filtering are leveraged to model user{\textquoteright}s geographic allocation and social correlation respectively. Thus, we propose CoSoLoRec, a fusion framework, to ameliorate the recommendation. Experiments on two real-word datasets show the superiority of our approach over the state-of-the-art methods.",
keywords = "Heterogeneous information, Location-based social network, Point-of-Interest recommendation, Probabilistic latent factor model, Topic model",
author = "Hao Guo and Xin Li and Ming He and Xiangyu Zhao and Guiquan Liu and Guandong Xu",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2016.; 9th International Conference on Knowledge Science, Engineering and Management, KSEM 2016 ; Conference date: 05-10-2016 Through 07-10-2016",
year = "2016",
doi = "10.1007/978-3-319-47650-6\_48",
language = "英语",
isbn = "9783319476490",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "613--627",
editor = "Franz Lehner and Nora Fteimi",
booktitle = "Knowledge Science, Engineering and Management - 9th International Conference, KSEM 2016, Proceedings",
address = "德国",
}