Predicting POI visits with a heterogeneous information network

Zih Syuan Wang, Jing Fu Juang, Wei Guang Teng

研究成果: Conference contribution

6 引文 斯高帕斯(Scopus)

摘要

A point of interest (POI) is a specific location that people may find useful or interesting. Examples include restaurants, stores, attractions, and hotels. With recent proliferation of location-based social networks (LBSNs), numerous users are gathered to share information on various POIs and to interact with each other. POI recommendation is then a crucial issue because it not only helps users to explore potential places but also gives LBSN providers a chance to post POI advertisements. As we utilize a heterogeneous information network to represent a LBSN in this work, POI recommendation is remodeled as a link prediction problem, which is significant in the field of social network analysis. Moreover, we propose to utilize the meta-path-based approach to extract implicit (but potentially useful) relationships between a user and a POI. Then, the extracted topological features are used to construct a prediction model with appropriate data classification techniques. In our experimental studies, the Yelp dataset is utilized as our testbed for performance evaluation purposes. Results of the experiments show that our prediction model is of good prediction quality in practical applications.

原文English
主出版物標題TAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence
發行者Institute of Electrical and Electronics Engineers Inc.
頁面388-395
頁數8
ISBN(電子)9781467396066
DOIs
出版狀態Published - 2016 二月 12
事件Conference on Technologies and Applications of Artificial Intelligence, TAAI 2015 - Tainan, Taiwan
持續時間: 2015 十一月 202015 十一月 22

出版系列

名字TAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence

Other

OtherConference on Technologies and Applications of Artificial Intelligence, TAAI 2015
國家Taiwan
城市Tainan
期間15-11-2015-11-22

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications

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  • 引用此

    Wang, Z. S., Juang, J. F., & Teng, W. G. (2016). Predicting POI visits with a heterogeneous information network. 於 TAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence (頁 388-395). [7407077] (TAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TAAI.2015.7407077