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Social Voting Techniques: A Comparison of the Methods Used for Explicit Feedback in Recommendation Systems
Web recommendation systems usually brings a
content list to users based on previous ratings made by them to
other similar contents through some social voting mean. This
paper aims to present a comparison of the main ...
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 ...
Using topic hierarchies with privileged information to improve context-aware recommender systems
(Universidade de São Paulo - USPUniversidade Federal de São Carlos - UFSCarCentro de Robótica de São Carlos - CROBSociedade Brasileira de Computação - SBCSociedade Brasileira de Automática - SBASão Carlos, 2014-10)
Recommender systems are designed to assist individuals to identify items of interest in a set of options. A context-aware recommender system makes recommendations by incorporating available contextual information into the ...
Recommending move method refactorings using dependency sets
(Universidade Federal de Minas GeraisUFMG, 2014-03-12)
Methods implemented in incorrect classes are common bad smells in object-oriented systems, especially in the case of systems maintained and evolved for years. To tackle this design flaw, we propose a novel approach that ...
Attentive Flexible Translation Embedding in Top-N Sparse Sequential Recommendations
Sequential recommendation aims to predict the user’s next action based on personal action sequences. The major challenge in this task is how to achieve high performance recommendation under the data sparsity problem. ...
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 ...
A Collaborative Filtering Probabilistic Approach for Recommendation to Large Homogeneous and Automatically Detected Groups
In the collaborative filtering recommender systems (CFRS) field, recommendation to group of users is mainly focused on stablished, occasional or random groups. These groups have a little number of users: relatives, friends, ...
Social Relations and Methods in Recommender Systems: A Systematic Review
(Universidad Internacional de La Rioja, 2021-12)
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 ...
Methods for trustworthy nutritional recommendations NutriRECS (Nutritional Recommendations and accessible Evidence summaries Composed of Systematic reviews): A protocol
(2018-12-05)
Background: Recent systematic reviews and editorials suggest that many organizations that produce nutritional guideline recommendations do not adhere to internationally recognized standards set forth by the Institute of ...
Argument-based mixed recommenders and their application to movie suggestion
(Pergamon-Elsevier Science Ltd, 2014-10)
Recommender systems have become prevalent in recent years as they help users to access relevant items from the vast universe of possibilities available these days. Most existing research in this area is based purely on ...