Personalized Recommendation Method of POI Based on Deep Neural Network

Yuan Gao, Zhizhou Duan, Weifeng Shi, Jun Feng, Yao Yi Chiang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

With the rapid development of Location-based social networks (LBSN), there is a growing demand for location services. How to use the users' historical check-in data for exploring their visit patterns and preference characteristics to realize personalized point-of-interest (POI) recommendation has become an important topic. Finding valid features from the check-in data is the key to POI recommendation. Deep learning is a multi-level representation learning method, which can better explore the relationship between features. Therefore, a new POI recommendation model named DLM based on deep neural network is proposed in this paper. This model incorporates topic features, user preference features and geographical factor features in the LBSN into the POI recommendation tasks, thereby it improves the efficiency of users' personalized POI recommendation. A lot of experiments on public data set Foursquare have proved the advantages and effectiveness of the proposed method.

Original languageEnglish (US)
Title of host publicationBESC 2019 - 6th International Conference on Behavioral, Economic and Socio-Cultural Computing, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728147628
DOIs
StatePublished - Oct 2019
Externally publishedYes
Event6th International Conference on Behavioral, Economic and Socio-Cultural Computing, BESC 2019 - Beijing, China
Duration: Oct 28 2019Oct 30 2019

Publication series

NameBESC 2019 - 6th International Conference on Behavioral, Economic and Socio-Cultural Computing, Proceedings

Conference

Conference6th International Conference on Behavioral, Economic and Socio-Cultural Computing, BESC 2019
Country/TerritoryChina
CityBeijing
Period10/28/1910/30/19

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This work is supported by the MOE(Ministry of Education in China) project of Humanities and Social Sciences 18YJA630025.

Publisher Copyright:
© 2019 IEEE.

Keywords

  • Deep Learning
  • LBSN
  • POI recommendation

Fingerprint

Dive into the research topics of 'Personalized Recommendation Method of POI Based on Deep Neural Network'. Together they form a unique fingerprint.

Cite this