Adaptive user-product recommendation system using supervised and unsupervised classification models-Reference-Cited by-同舟云学术

Adaptive user-product recommendation system using supervised and unsupervised classification models

Published:2019-10-23 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 4th International Conference on Big Data and Internet of Things
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Author:

Sennouni Amine¹,Cherif Walid²

Affiliation:

1. MIKS Laboratory, School of Information Sciences, Rabat, Morocco Dicen-IDF Laboratory, National Conservatory of Arts and Crafts, Paris, France

2. LYRICA Laboratory, School of Information Sciences, Rabat-Institutes, Rabat, Morocco SI2M Laboratory, National Institute of Statistics and Applied Economics, Rabat, Morocco

Publisher

ACM

Reference34 articles.

1. A Model of Social Explanations for a Conversational Movie Recommendation System

2. Recommender system application developments: A survey

3. Carrer-Neto W. Hernández-Alcaraz M. L. Valencia-García R. & García-Sánchez F. (2012). Social knowledge-based recommender system. Application to the movies domain. Expert Systems with applications 39(12) 10990--11000. Carrer-Neto W. Hernández-Alcaraz M. L. Valencia-García R. & García-Sánchez F. (2012). Social knowledge-based recommender system. Application to the movies domain. Expert Systems with applications 39(12) 10990--11000.

4. International conference on ubiquitous intelligence and computing (pp. 1130--1139) Springer Berlin Heidelberg. International conference on ubiquitous intelligence and computing (pp. 1130--1139) M. H. Park J. H. Hong S. B. Cho July). Location-based recommendation system using bayesian user's preference model in mobile devices 2007

5. Sequential Recommendation with User Memory Networks

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