Novel recommendation system based on long‐term composition for adaptive web services-Reference-Cited by-同舟云学术

Novel recommendation system based on long‐term composition for adaptive web services

Published:2020-03-17 Issue:3 Volume:36 Page:1063-1077
ISSN:0824-7935
Container-title:Computational Intelligence
language:en
Short-container-title:Computational Intelligence

Author:

Kirubanantham P¹^ORCID,Vijayakumar G²

Affiliation:

1. Department of Computer Science and EngineeringThirumalai Engineering College Kanchipuram India

2. Department of Electrical and Electronics EngineeringMuthayammal Engineering College (Autonomous) Rasipuram, Salem India

Publisher

Wiley

Subject

Artificial Intelligence,Computational Mathematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/coin.12309

Reference22 articles.

1. AlhijawiB ObeidN AwajanA TedmoriS. Improving collaborative filtering recommender systems using semantic information. Paper presented at: 2018 9th International Conference on Information and Communication Systems (ICICS).

2. ZarzourH Al‐SharifZ Al‐AyyoubM JararwehY. A new collaborative filtering recommendation algorithm based on dimensionality reduction and clustering techniques. Paper presented at: 2018 9th International Conference on Information and Communication Systems (ICICS).

3. ShreyaAgrawal PoojaJain. An improved approach for movie recommendation system. Paper presented at: International conference on I‐SMAC (IoT in Social Mobile Analytics and Cloud).

4. A collaborative filtering based recommender system using rating prediction;Divya N;Int J Pure Appl Math,2018

5. Model-driven development of composite context-aware web applications

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