Results 31 to 40 of about 23,764 (310)
Digital Health, 2019 Objective Tailored digital health programs can promote positive health-related lifestyle changes and have been shown to be (cost) effective in trials. However, such programs are used suboptimally.
Kei Long Cheung +3 more
doaj +1 more source
Recommending Sources in News Recommender Systems
Proceedings of the 11th International Conference on Web Information Systems and Technologies, 2015 Recommender systems aim to deliver the most suitable item to the user without the manual effort of the user. It is possible to see the applications of recommender systems in a lot of different domains like music, movies, shopping and news. Recommender system development have many challenges.
Özlem Özgöbek +2 more
openaire +2 more sources
Learning users' interests in a market-based recommender system [PDF]
, 2004 Recommender systems are widely used to cope with the problem of information overload and, consequently, many recommendation methods have been developed. However, no one technique is best for all users in all situations. To combat this, we have previously
Wei, YZ +8 more
core +1 more source
Improving electronic customers' profile in recommender systems using data mining techniques [PDF]
Management Science Letters, 2011 Recommender systems are tools for realization one to one marketing. Recommender systems are systems, which attract, retain, and develop customers. Recommender systems use several ways to make recommendations.
Mohammad Julashokri +3 more
doaj
Recommendation System with Biclustering
Big Data Mining and Analytics, 2022 The massive growth of online commercial data has raised the request for an automatic recommender system to benefit both users and merchants. One of the most frequently used recommendation methods is collaborative filtering, but its accuracy is limited by the sparsity of the rating dataset.
Jianjun Sun, Yu Zhang
openaire +2 more sources
The transformative power of recommender systems in enhancing citizens’ satisfaction: Evidence from the Moroccan public sector [PDF]
Innovative MarketingThe study aims to specifically evaluate the potential impact of implementing AI-powered recommender systems on citizen satisfaction within Moroccan public services.
Ouissale El Gharbaoui +2 more
doaj +1 more source
Decentralized Recommender Systems
CoRR, 2015 This paper proposes a decentralized recommender system by formulating the popular collaborative filleting (CF) model into a decentralized matrix completion form over a set of users. In such a way, data storages and computations are fully distributed.
Zhangyang Wang +5 more
openaire +2 more sources
Personalisation and recommender systems in digital libraries [PDF]
, 2005 Widespread use of the Internet has resulted in digital libraries that are increasingly used by diverse communities of users for diverse purposes and in which sharing and collaboration have become important social elements.
Smeaton, Alan F., Callan, Jamie
core +1 more source
Informatics, 2018 Recommender systems are powerful online tools that help to overcome problems of information overload. They make personalized recommendations to online users using various data mining and filtering techniques.
Mohamed Hamada, Mohammed Hassan
doaj +1 more source
Efficient Recommender Systems [PDF]
The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services (CEC/EEE'06), 2006 We study the efficient allocation of buyers in the presence of recommender systems. A recommender system affects the market in two ways: (i) it creates value by reducing product uncertainty for the customers and hence (ii) its recommendations can be offered as add-ons, which generates informational externalities.
Dirk Bergemann, Deran Ozmen
openaire +1 more source