Iterative rating prediction for neighborhood-based collaborative filtering-Reference-Cited by-同舟云学术

Iterative rating prediction for neighborhood-based collaborative filtering

Published:2021-02-14 Issue:10 Volume:51 Page:6810-6822
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Zhang Li^ORCID,Li Zepeng,Sun Xiaohan

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-021-02237-1.pdf

Reference36 articles.

1. Kumar P, Thakur R S (2018) A framework for weblog data analysis using hive in hadoop framework

2. Kumar Malviya B, Agrawal J (2015) A study on web usage mining theory and applications, pp 935–939

3. Valera M (2014) A novel approach of mining frequent sequential pattern from customized web log preprocessing. Ijera

4. Kumar P, Thakur R S (2018) Recommendation system techniques and related issues: a survey. Int J Inf Technol 10(1):1–7

5. Rathod A, Indiramma M (2015) A survey of personalized recommendation system with user interest in social network. Int J Comput Sci Inf Technol 6(1):413–415

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