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Entertainment recommender systems for group of users
(Pergamon-Elsevier Science Ltd, 2011-10)
Recommender systems are used to recommend potentially interesting items to users in different domains. Nowadays, there is a wide range of domains in which there is a need to offer recommendations to group of users instead ...
Exploiting text mining techniques for contextual recommendations
(University of WarsawInstitute of Electrical and Electronics Engineers - IEEEWeb Intelligence Consortium - WICAssociation for Computing Machinery - ACMWarsaw, 2014-08)
Unlike traditional recommender systems, which make recommendations only by using the relation between users and items, a context-aware recommender system makes recommendations by incorporating available contextual information ...
Recommendation Systems, Information Architecture, and Findability
(Pontificia Universidade Catolica Campinas, 2016-09-01)
The present study discusses briefly the concepts of Information Architecture, Information Findability, and Recommendation Systems. It aims to demonstrate how the use of Recommendation Systems in Information Architecture ...
Meta-Mender: A meta-rule based recommendation system for educational applications
Recommenders are central in current applications to help the user find useful information spread in large amounts of data. Most Recommenders are more effective when huge amounts of user data are available in order to ...
Comprehensive Evaluation of Matrix Factorization Models for Collaborative Filtering Recommender Systems
Matrix factorization models are the core of current commercial collaborative filtering Recommender Systems. This paper tested six representative matrix factorization models, using four collaborative filtering datasets. ...
Applying the technology acceptance model to evaluation of recommender systems
(Center for Technological Design and Development in Computer Science, 2015-06)
In general, the study of recommender systems emphasizes the efficiency of techniques to provide accurate recommendations rather than factors influencing users' acceptance of the system; however, accuracy alone cannot account ...
A Group Recommendation System for Movies based on MAS
(Salamanca University Press, 2016-11)
Providing recommendations to groups of users has become popular in many applications today. Although several group recommendation techniques exist, the generation of items that satisfy all group members in an even way still ...
Validation of a pre-clustering strategy for a recommender system
(Florianópolis, SC, 2019-12-06)
In this work we used a proof of concept to validate a pre-clustering strategy using firmographics data in order to improve the performance of Neoway's recommender system. The context of recommender systems is discussed, ...
Introducing the concept of "always–welcome recommendations"
(IEEE Computer SocietyInternational Association for Computer and Information Science - ACISLas Vegas, 2015-06)
One of the major challenges on Recommender Systems is how to predict users’ preferences regarding contextual constraints in a group. There are situations which a user could be recommended with an appropriate item for one ...
Social Relations and Methods in Recommender Systems: A Systematic Review
With the constant growth of information, data sparsity problems, and cold start have become a complex problem in obtaining accurate recommendations. Currently, authors consider the user's historical behavior and find ...