A hybrid recommendation system based on profile expansion technique to alleviate cold start problem-Reference-Cited by-同舟云学术

A hybrid recommendation system based on profile expansion technique to alleviate cold start problem

Published:2020-09-13 Issue:2 Volume:80 Page:2339-2354
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Tahmasebi Faryad,Meghdadi Majid,Ahmadian Sajad,Valiallahi Khashayar

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-020-09768-8.pdf

Reference39 articles.

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3. Ahmadian S, Afsharchi M, Meghdadi M (2019) A novel approach based on multi-view reliability measures to alleviate data sparsity in recommender systems. Multimed Tools Appl 78(13):17763–17798

4. Ahmadian S, Joorabloo N, Jalili M, Meghdadi M, Afsharchi M, Ren YA, Temporal Clustering Approach for Social Recommender Systems (2018) IEEE/ACM international conference on advances in social networks analysis and mining (ASONAM). Barcelona, Spain: IEEE 2018:1139–1144

5. Ahmadian S, Joorabloo N, Jalili M, Ren Y, Meghdadi M, Afsharchi M (2020) A social recommender system based on reliable implicit relationships. Knowl-Based Syst 192:1–17

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