Using multi-features to partition users for friends recommendation in location based social network-Reference-Cited by-同舟云学术

Using multi-features to partition users for friends recommendation in location based social network

Published:2020-01 Issue:1 Volume:57 Page:102125
ISSN:0306-4573
Container-title:Information Processing & Management
language:en
Short-container-title:Information Processing & Management

Author:

Xin Mingjun,Wu Lijun

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference41 articles.

1. Context-aware friend recommendation for location based social networks using random walk;Bagci,2016

2. Dual implicit mining-based latent friend recommendation;Cui,2018

3. Correlation between social proximity and mobility similarity;Fan;Scientific Reports,2017

4. Temporal people-to-people recommendation on social networks with sentiment-based matrix factorization;Feltoni Gurini;Future Generation Computer Systems,2017

5. Using multi-features to recommend friends on location-based social networks;Gao;Peer-to-Peer Networking and Applications,2017

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