Reciprocal Recommender Systems: Analysis of state-of-art literature, challenges and opportunities towards social recommendation-Reference-Cited by-同舟云学术

Reciprocal Recommender Systems: Analysis of state-of-art literature, challenges and opportunities towards social recommendation

Published:2021-05 Issue: Volume:69 Page:103-127
ISSN:1566-2535
Container-title:Information Fusion
language:en
Short-container-title:Information Fusion

Author:

Palomares Iván^ORCID,Porcel Carlos,Pizzato Luiz,Guy Ido^ORCID,Herrera-Viedma Enrique

Funder

King Abdulaziz University

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Signal Processing,Software

Reference180 articles.

1. Recommender Systems: The Textbook;Aggarwal,2016

2. Intelligent tourism recommender systems: a survey;Borrás;Expert Syst. Appl.,2014

3. User-adapted travel planning system for personalized schedule recommendation;Chiang;Inf. Fusion,2015

4. I. Guy, I. Ronen, E. Wilcox, Do you know?: Recommending people to invite into your social network, in: Proceedings of the 14th International Conference on Intelligent User Interfaces, IUI ’09, 2009, pp. 77–86.

5. R. García, X. Amatriain, Weighted content based methods for recommending connections in online social networks, in: W. Geyer, J. Freyne, B. Mobasher, S.S. Anand (Eds.), Proceedings of the 2nd ACM RecSys’10 Workshop on Recommender Systems and the Social Web, 2010, pp. 68–71.

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