Personalized Recommendation for Online Retail Applications Based on Ontology Evolution-Reference-Cited by-同舟云学术

Personalized Recommendation for Online Retail Applications Based on Ontology Evolution

Published:2020-04-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 6th International Conference on Computer and Technology Applications
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Author:

Alaa Rana¹,Gawich Mariam²,Fernández-Veiga Manuel³

Affiliation:

1. Business information system, Arab Academy for science, Technology and Maritime, Transport, Cairo, Egypt

2. Centre de Recherche Informatique, Université Française en Egypte (UFE), Cairo, Egypt

3. AtlanTTIC Research Center, University of Vigo, Vigo, Spain

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3397125.3397134

Reference19 articles.

1. Ying M. and Hsu Y. 2014. A commodity search system for online shopping based on ontology and web mining.: International Conference on Software Intelligence Technologies and Applications & International Conference on Frontiers of Internet of Things 2014 (Hsinchu Taiwan 2014) 6--11 Ying M. and Hsu Y. 2014. A commodity search system for online shopping based on ontology and web mining.: International Conference on Software Intelligence Technologies and Applications & International Conference on Frontiers of Internet of Things 2014 (Hsinchu Taiwan 2014) 6--11

2. A framework of conversational recommender system based on user functional requirements

3. Addressing cold start problem in recommender systems using association rules and clustering technique

4. A Hierarchical Architecture for Ontology-Based Recommender Systems

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