Now showing items 1-10 of 1734
Research and Design of a Grid Based Electronic Commerce Recommendation System
(Universidad de Talca, 2010)
Social group recommendation in the tourism domain
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 ...
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 ...
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
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
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 ...