Results 311 to 320 of about 25,654,881 (342)
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A Knowledge-Based Recommendation System That Includes Sentiment Analysis and Deep Learning
IEEE Transactions on Industrial Informatics, 2019Online social networks provide relevant information on users’ opinion about different themes. Thus, applications, such as monitoring and recommendation systems (RS) can collect and analyze this data.
R. L. Rosa +3 more
semanticscholar +1 more source
An intelligent recommendation system in e-commerce using ensemble learning
Multimedia tools and applications, 2023Achyut Shankar +6 more
semanticscholar +1 more source
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human, 2009
Nowadays, recommendation systems are definitely a necessity in the websites not just an auxiliary feature, especially for commercial websites and web sites with large information services. Recommendation systems use models constructed by applying statistical and data mining approaches on derived data from websites. In this paper we propose a new hybrid
Saeed R. Aghabozorgi, Teh Ying Wah
openaire +1 more source
Nowadays, recommendation systems are definitely a necessity in the websites not just an auxiliary feature, especially for commercial websites and web sites with large information services. Recommendation systems use models constructed by applying statistical and data mining approaches on derived data from websites. In this paper we propose a new hybrid
Saeed R. Aghabozorgi, Teh Ying Wah
openaire +1 more source
Sentiment analysis-based recommendation system for agricultural products
International journal of information technology, 2023Anjali Sharma +3 more
semanticscholar +1 more source
A Novel Deep Learning-Based Collaborative Filtering Model for Recommendation System
IEEE Transactions on Cybernetics, 2019The collaborative filtering (CF) based models are capable of grasping the interaction or correlation of users and items under consideration. However, existing CF-based methods can only grasp single type of relation, such as restricted Boltzmann machine ...
Mingsheng Fu +4 more
semanticscholar +1 more source
XRDS: Crossroads, The ACM Magazine for Students, 2020
Vladimir Shikhman, David Müller
+4 more sources
Vladimir Shikhman, David Müller
+4 more sources
2007 40th Annual Hawaii International Conference on System Sciences (HICSS'07), 2007
Recommender systems give advice about products, information or services users might be interested in. They are intelligent applications to assist users in a decision-making process where they want to choose one item amongst a potentially overwhelming set of alternative products or services.
Hannes Werthner +2 more
openaire +1 more source
Recommender systems give advice about products, information or services users might be interested in. They are intelligent applications to assist users in a decision-making process where they want to choose one item amongst a potentially overwhelming set of alternative products or services.
Hannes Werthner +2 more
openaire +1 more source