Results 41 to 50 of about 66,257 (173)
Hybrid group recommendations for a travel service [PDF]
, 2016 Recommendation techniques have proven their usefulness as a tool to cope with the information overload problem in many classical domains such as movies, books, and music.
De Pessemier, Toon +2 more
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Web based Recommender Systems and Rating Prediction [PDF]
, 2009 This project implements a recommender system on large dataset of Netflix’s movies. This project also tries to improve recommender systems by incorporating confidence interval and genres of movies. This new approach enhances the performance and quality of
Nguyen, Tho
core +1 more source
, 2014 Personalized recommender systems rely on each user's personal usage data in the system, in order to assist in decision making. However, privacy policies protecting users' rights prevent these highly personal data from being publicly available to a wider ...
B. Berendt +13 more
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Exploring explanations for matrix factorization recommender systems (Position Paper) [PDF]
, 2017 In this paper we address the problem of finding explanations for collaborative filtering algorithms that use matrix factorization methods. We look for explanations that increase the transparency of the system. To do so, we propose two measures. First, we
Crovella, Mark +2 more
core +1 more source
Kernel Context Recommender System (KCR): A Scalable Context-Aware Recommender System Algorithm
IEEE Access, 2019 Recommender systems are intelligent data mining applications that deal with the issue of information overload significantly. The available literature discusses several methodologies to generate recommendations and proposes different techniques in ...
Misbah Iqbal +6 more
doaj +1 more source
Enhancing Human-Computer Interaction in Digital Repositories through a MCDA-Based Recommender System
Advances in Human-Computer Interaction, 2021 Digital repositories contain a large amount of content, which is available to heterogeneous groups of people. As such, in many cases people encounter difficulties in finding specific content which is related to their preferences.
Christos Troussas +2 more
doaj +1 more source
CROSS DOMAIN RECOMMENDATION USING VECTOR MODELING AND GENRE CORRELATIONS
ICTACT Journal on Soft Computing, 2018 Recommender systems are basically information retrieval systems that offer guidance to users in making individual decisions related to choosing items based on personal interests.
Mala Saraswat +4 more
doaj +1 more source
Enhancing Recommender System with Collaborative Filtering and User Experiences Filtering
Applied Sciences, 2021 Recommender systems have become an essential part in many applications and websites to address the information overload problem. For example, people read opinions about recommended products before buying them.
Silvana Vanesa Aciar +3 more
doaj +1 more source
Trust and Distrust based Cross-domain Recommender System
Applied Artificial Intelligence, 2021 A recommender system (RS) provides assistance for users to filter out items of their interest in the presence of millions of available items. The reason is to find out the likewise user with the assumption that if users have shared similar interest in ...
Richa, Punam Bedi
doaj +1 more source
User's Privacy in Recommendation Systems Applying Online Social Network Data, A Survey and Taxonomy
, 2018 Recommender systems have become an integral part of many social networks and extract knowledge from a user's personal and sensitive data both explicitly, with the user's knowledge, and implicitly.
Aghasian, Erfan +2 more
core +1 more source