An experimental evaluation of point-of-interest recommendation in location-based social networks

An experimental evaluation of point-of-interest recommendation in location-based social networks

Point-of-interest (POI) recommendation is an important service to Location-Based Social Networks (LBSNs) that can benefit both users and businesses. In recent years, a number of POI recommender systems have been proposed, but there is still a lack of systematical comparison thereof. In this paper, w...

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Bibliographic Details
Main Authors: Liu, Yiding, Pham, Tuan-Anh Nguyen, Cong, Gao, Yuan, Quan
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2019
Subjects:
Engineering::Computer science and engineering
POI Recommendations
Geographical Influence
Online Access:https://hdl.handle.net/10356/105717
http://hdl.handle.net/10220/49542
http://www.vldb.org/pvldb/vol10/p1010-liu.pdf
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Institution: Nanyang Technological University
Language: English
Description
Summary:Point-of-interest (POI) recommendation is an important service to Location-Based Social Networks (LBSNs) that can benefit both users and businesses. In recent years, a number of POI recommender systems have been proposed, but there is still a lack of systematical comparison thereof. In this paper, we provide an allaround evaluation of 11 state-of-the-art POI recommendation models. From the evaluation, we obtain several important findings, based on which we can better understand and utilize POI recommendation models in various scenarios. We anticipate this work to provide readers with an overall picture of the cutting-edge research on POI recommendation.

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