Geographic information recommender system optimized by transportation network data

SHAO Kuo-yi; BAN Xiao-juan; WANG Xiao-kun; LI Bin

doi:10.13374/j.issn2095-9389.2015.12.018

Volume 37 Issue 12

Jul. 2021

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Article Navigation > Chinese Journal of Engineering > 2015 > 37(12): 1651-1657

SHAO Kuo-yi, BAN Xiao-juan, WANG Xiao-kun, LI Bin. Geographic information recommender system optimized by transportation network data[J]. Chinese Journal of Engineering, 2015, 37(12): 1651-1657. doi: 10.13374/j.issn2095-9389.2015.12.018

Citation:

SHAO Kuo-yi, BAN Xiao-juan, WANG Xiao-kun, LI Bin. Geographic information recommender system optimized by transportation network data[J]. Chinese Journal of Engineering, 2015, 37(12): 1651-1657. doi: 10.13374/j.issn2095-9389.2015.12.018

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Geographic information recommender system optimized by transportation network data

doi: 10.13374/j.issn2095-9389.2015.12.018

School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China

Received Date: 2014-10-09
Available Online: 2021-07-17

Abstract

Abstract

In view of the problem that current context-aware recommender systems take users and systems as the main research direction and do not consider actual transportation network location characteristics,this article introduces a geographic information recommender system optimized by transportation network data. The system combines with transportation network data of geographic information in the context-aware recommender system to optimize the recommended results. Experimental results show that the recommended quality get improved significantly.
- geographic information systems,
- recommender systems,
- transportation,
- network data,
- collaborative filtering,
- optimization