Results 41 to 50 of about 693,638 (193)
A personalized and context-aware news offer for mobile devices [PDF]
, 2016 For classical domains, such as movies, recommender systems have proven their usefulness. But recommending news is more challenging due to the short life span of news content and the demand for up-to-date recommendations.
A Følstad +18 more
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Capturing User Interests for Content-based Recommendations [PDF]
, 2015 Nowadays, most recommender systems provide recommendations by either exploiting feedback given by similar users, referred to as collaborative filtering, or by identifying items with similar properties, referred to as content-based recommendation ...
Hopfgartner, Frank
core
Journal of Information Systems and InformaticsThis research focuses on developing a restaurant recommender system designed to assist users in selecting restaurants based on preferences such as cuisine type and proximity, thereby enhancing the dining experience.
Fajar Christyawan +2 more
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Recommendation System Based on Content Based Filtering
, 2023 Abstract—A recommendation system is a subclass of information filtering systems that provide or suggests products to its target audience. Recommendation systems are widely used these days. It may be in the form of friend suggestions on Facebook, suggesting similar products on e-commerce sites, etc.
Jisna P Antony, Jinson Devis
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AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders
, 2017 Collaborative filtering (CF) has been successfully used to provide users with personalized products and services. However, dealing with the increasing sparseness of user-item matrix still remains a challenge.
Xu, Xiwei, Yao, Lina, Zhang, Shuai
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Survey of User to User Recommendation System in Online Social Networks [PDF]
Engineering and Technology Journal, 2019 The widespread use of online social networks (OSN) and their applications by users lead to the lack of knowledge identification of their needs across the vast amount of data, which made the need to create systems that help people to solve the problems ...
Sammer Qader, Ayad Abbas
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Deep Belief Nets for Topic Modeling [PDF]
, 2015 Applying traditional collaborative filtering to digital publishing is challenging because user data is very sparse due to the high volume of documents relative to the number of users.
Arngren, Morten +2 more
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Collaborative recommendations with content-based filters for cultural activities via a scalable event distribution platform [PDF]
, 2011 Nowadays, most people have limited leisure time and the offer of (cultural) activities to spend this time is enormous. Consequently, picking the most appropriate events becomes increasingly difficult for end-users.
Bannier, Stijn +7 more
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IEEE Access, 2017 As an important part of the Internet of Energy, a complex access environment, flexible access modes and a massive number of access terminals, dynamic, and distributed mass data in an active distribution network will bring new challenges to the security ...
Song Deng +3 more
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Comparison Between Collaborative Filtering and Content-Based Filtering
Highlights in Science, Engineering and Technology, 2022 With the rapid development of Internet technology nowadays, how to quickly obtain the effective information needed by users has become the key point of the scientific and technological academia. Therefore, various kinds of recommendation algorithms have been invented. Based on the previous research, this paper introduces the most famous and widely used
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