Results 1 to 10 of about 373,757 (250)
Health Recommendation System using Deep Learning-based Collaborative Filtering
Heliyon, 2023 The crucial aspect of the medical sector is healthcare in today's modern society. To analyze a massive quantity of medical information, a medical system is necessary to gain additional perspectives and facilitate prediction and diagnosis.
P. Chinnasamy +5 more
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Survey of Graph Neural Network in Recommendation System [PDF]
Jisuanji kexue yu tansuo, 2022 Recommendation system (RS) was introduced because of a lot of information. Due to the diversity, complexity, and sparseness of data, traditional recommendation system can not solve the current problem well.
WU Jing, XIE Hui, JIANG Huowen
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Physics Reports, 2012 97 pages, 20 figures (To appear in Physics Reports)
Lu L. +5 more
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A Review of Text-Based Recommendation Systems
IEEE Access, 2021 Many websites over the Internet are producing a variety of textual data; such as news, research articles, ebooks, personal blogs, and user reviews. In these websites, the textual data is so large that the process of finding pertinent information by a ...
Safia Kanwal +3 more
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Survey of Research on Personalized News Recommendation Techniques
Jisuanji kexue yu tansuo, 2021 News happens all the time and many people have developed the habits of reading news. Among numerous news media, network media gets preference for its convenience and celerity. However, too much net-news results in information overload.
WANG Shaoqing, LI Xinxin, SUN Fuzhen, FANG Chun
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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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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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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
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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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