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Deep learning-based recommendation system for metal-organic frameworks (MOFs).
Digit DiscovZhang X, Jablonka KM, Smit B.
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2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2021
The main purpose of a recommendation system is that it will suggest items to users easily making their life easier. Today the quantity of facts with inside the net increase very hastily and those want few instruments to seek out and access appropriate data. One of such tools is named recommendation system. Recommendation systems propose products to the
P. V. Devika +4 more
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The main purpose of a recommendation system is that it will suggest items to users easily making their life easier. Today the quantity of facts with inside the net increase very hastily and those want few instruments to seek out and access appropriate data. One of such tools is named recommendation system. Recommendation systems propose products to the
P. V. Devika +4 more
openaire +2 more sources
Personalized Recommendation System Based on Collaborative Filtering for IoT Scenarios
IEEE Transactions on Services Computing, 2020Recommendation technology is an important part of the Internet of Things (IoT) services, which can provide better service for users and help users get information anytime, anywhere.
Zhihua Cui, Xianghua Xu, Fei Xue
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Tourism recommendation system based on semantic clustering and sentiment analysis
Expert Systems With Applications, 2021Numerous number of tourism attractions along with a huge amount of information about them on web and social platforms have made the decision-making process for selecting and visiting them complicated.
Zahra Abbasi-Moud +2 more
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Crop Recommendation System Using Machine Learning
2023 5th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), 2023Crop recommendation is an important part of precision agriculture for crop productivity improvement. Machine learning techniques have been used many times in this domain to analyze agricultural data and provide recommendations based on various factors ...
Ms. Sarika Gambhir +5 more
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LLM Based Generation of Item-Description for Recommendation System
ACM Conference on Recommender Systems, 2023The description of an item plays a pivotal role in providing concise and informative summaries to captivate potential viewers and is essential for recommendation systems.
Arkadeep Acharya, Brijraj Singh, N. Onoe
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Multi-Agent Personalized Recommendation System in E-Commerce based on User
2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC), 2023As more sectors began to switch from conventional business models to e-commerce in response to the general trend toward mobile Internet use, the scale of e-commerce grew rapidly.
Nagagopiraju Vullam +5 more
semanticscholar +1 more source
IEEE Transactions on Computational Social Systems, 2021
A recommendation system is an integral part of any modern online shopping or social network platform. The product recommendation system as a typical example of the legacy recommendation systems suffers from two major drawbacks: recommendation redundancy ...
Sahraoui Dhelim +2 more
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A recommendation system is an integral part of any modern online shopping or social network platform. The product recommendation system as a typical example of the legacy recommendation systems suffers from two major drawbacks: recommendation redundancy ...
Sahraoui Dhelim +2 more
exaly +2 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
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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 +2 more sources
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018
Recommender systems for groups are becoming increasingly popular since many information needs originate from group and social activities, such as listening to music, watching movies, traveling, etc. There has been substantial progress on systems which recommend items to groups of users. However, many challenges remain.
Amra Delic, Judith Masthoff
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Recommender systems for groups are becoming increasingly popular since many information needs originate from group and social activities, such as listening to music, watching movies, traveling, etc. There has been substantial progress on systems which recommend items to groups of users. However, many challenges remain.
Amra Delic, Judith Masthoff
openaire +1 more source