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Content-Based Image Filtering for Recommendation
2006Content-based filtering can reflect content information, and provide recommendations by comparing various feature based information regarding an item. However, this method suffers from the shortcomings of superficial content analysis, the special recommendation trend, and varying accuracy of predictions, which relies on the learning method. In order to
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Movie Recommendation using Collaborative filtering and Content-based Filtering Approach
2023 International Conference on Inventive Computation Technologies (ICICT), 2023Kallam Vedaswi +5 more
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Hybrid (Content-based filtering and Collaborative filtering) recommender system based on BERT
Recommender system (RS) is the system that recommends items to users based on user preference. There are two main methods that are used in RS, including content-based filtering (CBF) and collaborative filtering (CF). However, these two main methods are not effective enough to get the better recommendation. Hence, many people have explored other methodsopenaire +1 more source
Recipe Recommendation System Using Content-Based Filtering
SSRN Electronic Journal, 2022Sayali Bangale +3 more
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Brain and other central nervous system tumor statistics, 2021
Ca-A Cancer Journal for Clinicians, 2021Kimberly D Miller +2 more
exaly
Course Recommendation System using Content-based Filtering
2023 7th International Conference on Trends in Electronics and Informatics (ICOEI), 2023Pranshu Mishra, Vishal Jain
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