Using check-in features to partition locations for individual users in location based social network-Reference-Cited by-同舟云学术

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Using check-in features to partition locations for individual users in location based social network

Published:2017-09 Issue: Volume:37 Page:86-97
ISSN:1566-2535
Container-title:Information Fusion
language:en
Short-container-title:Information Fusion

Author:

Yu Chen,Xiao Baiyun,Yao Dezhong^ORCID,Ding Xiaofeng,Jin Hai

Funder

NSFC

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Signal Processing,Software

Reference32 articles.

1. Camf: context-aware message forwarding in mobile social networks;Wei;IEEE Trans. Parallel Distrib. Syst.,2015

2. Qoe-ensured price competition model for emerging mobile networks;Dong;IEEE Wireless Commun.,2015

3. Wireless positioning techniques and location-based services: a literature review;Keikhosrokiani,2013

4. Mining user check-in features for location classification in location-based social networks;Yu,2015

5. Location recommendation in location-based social networks using user check-in data;Wang,2013

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1. Modified node2vec and attention based fusion framework for next POI recommendation;Information Fusion;2024-01

2. Point-of-interest recommendation using extended random walk with restart on geographical-temporal hybrid tripartite graph;Journal of Spatial Science;2021-03-22

3. Incorporating Memory-Based Preferences and Point-of-Interest Stickiness into Recommendations in Location-Based Social Networks;ISPRS International Journal of Geo-Information;2021-01-15

4. Using multi-features to partition users for friends recommendation in location based social network;Information Processing & Management;2020-01

5. Developing a microscopic city model in SUMO simulation system;Journal of Physics: Conference Series;2019-11-01

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