Results 1 to 10 of about 17,842,438 (309)
Recommendation System with Biclustering
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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Movies are one of the integral components of our everyday entertainment. In today’s world, people prefer to watch movies on their personal devices. Many movies are available on all popular Over the Top (OTT) platforms.
Sandipan Sahu +5 more
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Survey of Graph Neural Network in Recommendation System [PDF]
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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A Review of Text-Based Recommendation Systems
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
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]
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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Preference-Tree-Based Real-Time Recommendation System
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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Bias Reduction News Recommendation System
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]
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
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Recommendation System Using Autoencoders
The magnitude of the daily explosion of high volumes of data has led to the emergence of the Big Data paradigm. The ever-increasing amount of information available on the Internet makes it increasingly difficult for individuals to find what they need ...
Diana Ferreira +3 more
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