Results 11 to 20 of about 25,654,881 (342)
Recipe Recommendation System Using TF-IDF [PDF]
ITM Web of Conferences, 2022 A Recipe Recommendation System is being proposed in this following paper. Food recommendation is a new area, with few systems that are focus on analysing and user preferences and constraints such as ingredients available at their side being deployed in ...
Chhipa Shubham +3 more
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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
Jianjun Sun, Yu Zhang
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Agriculture, 2023 Agriculture plays a key role in global food security. Agriculture is critical to global food security and economic development. Precision farming using machine learning (ML) and the Internet of Things (IoT) is a promising approach to increasing crop ...
Christine Musanase +4 more
semanticscholar +1 more source
Preference-Tree-Based Real-Time Recommendation System
Entropy, 2022 In the current era of online information overload, recommendation systems are very useful for helping users locate content that may be of interest to them.
Seongju Kang, Kwangsue Chung
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Multimodal Movie Recommendation System Using Deep Learning
Mathematics, 2023 Recommendation systems, the best way to deal with information overload, are widely utilized to provide users with personalized content and services with high efficiency.
Yongheng Mu, Yun Wu
semanticscholar +1 more source
Applied Fuzzy and Analytic Hierarchy Process in Hybrid Recommendation Approaches for E-CRM
JOIV: International Journal on Informatics Visualization, 2022 To create a personalized E-CRM recommendation system, the electronic customer relationship management system needs to investigate low accuracy and lack of personalization through applied hybrid recommendation system techniques such as fuzzy and AHP.
Elham Abdulwahab Anaam +2 more
doaj +1 more source
Bias Reduction News Recommendation System
Digital, 2023 News recommender systems (NRS) are crucial for helping users navigate the vast amount of content available online. However, traditional NRS often suffer from biases that lead to a narrow and unfair distribution of exposure across news items.
Shaina Raza
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Content based movie recommendation system [PDF]
International Journal of Research in Industrial Engineering, 2020 Recommendation based systems can be used for recommending different web page, books, restaurants, tv shows, movies etc. The aim of movie recommendation system is to recommend movies to different users based on their interests. This helps the user to save
N. Pradeep +4 more
doaj +1 more source
Nature Communications, 2021 Prediction of drug-target interactions (DTI) plays a vital role in drug development in various areas, such as virtual screening, drug repurposing and identification of potential drug side effects.
Qing Ye +7 more
semanticscholar +1 more source
Knowledge-based recommendation system using semantic web rules based on Learning styles for MOOCs
Cogent Engineering, 2022 With web-based education and Technology Enhanced Learning (TEL) assuming new importance, there has been a shift towards Massive Open Online Courses (MOOC) platforms owing to their openness and flexible “on-the-go” nature.
Abhinav Agarwal +2 more
semanticscholar +1 more source