Multi-Sided recommendation based on social tensor factorization-Reference-Cited by-同舟云学术

Multi-Sided recommendation based on social tensor factorization

Published:2018-06 Issue: Volume:447 Page:140-156
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Hong Minsung,Jung Jason J.

Funder

National Research Foundation of Korea

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference49 articles.

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

2. Social big data: recent achievements and new challenges;Bello-Orgaz;Inf. Fusion,2016

3. Who, what, when, and where: multi-dimensional collaborative recommendations using tensor factorization on sparse user-generated data;Bhargava,2015

4. An approach to social recommendation for context-aware mobile services;Biancalana;ACM Trans. Intell. Syst. Technol. (TIST),2013

5. Empirical analysis of predictive algorithms for collaborative filtering;Breese,1998

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