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Research and Design of a Grid Based Electronic Commerce Recommendation System
(Universidad de Talca, 2010)
Social group recommendation in the tourism domain
(Springer, 2016-10)
Recommender Systems learn users’ preferences and tastes in different domains to suggest potentially interesting items to users. Group Recommender Systems generate recommendations that intend to satisfy a group of users as ...
A Hybrid Approach for Group Profiling in Recommender Systems
(Graz University of Technology, 2014-04)
Recommendation is a significant paradigm for information exploring, which focuses on the recovery of items of potential interest to users. Some activities tend to be social rather than individual, which puts forward the ...
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 ...
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 ...
A meta-learning recommender system for hyperparameter tuning: Predicting when tuning improves SVM classifiers
(Elsevier B.V., 2019-10-01)
For many machine learning algorithms, predictive performance is critically affected by the hyperparameter values used to train them. However, tuning these hyperparameters can come at a high computational cost, especially ...
Semantic Recommender Systems for Digital TV: From Demographic Stereotyping to Personalized Recommendations
(INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS INC., 2018)
Simultaneous co-clustering and learning to address the cold start problem in recommender systems
(ElsevierAmsterdam, 2015-07)
Recommender Systems (RSs) are powerful and popular tools for e-commerce. To build their recommendations, RSs make use of varied data sources, which capture the characteristics of items, users, and their transactions. Despite ...
Towards a Recommender Engine for Personalized Visualizations
(Springer, 2015-06)
Visualizations have a distinctive advantage when dealing with the information overload problem: since they are grounded in basic visual cognition, many people understand them. However, creating them requires specific ...
Recommendation Systems, Information Architecture, And FindabilityOs Sistemas De Recomendação, Arquitetura Da Informação E A Encontrabilidade Da Informação
(Pontificia Universidade Catolica de Campinas, 2016)