Results 1 to 10 of about 200,906 (266)
Movie Recommendation System Using Content Based Filtering
Al-Bāhir, 2023 Sribhashyam Rakesh
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An Improved Recommendation Method Based on Content Filtering and Collaborative Filtering
Complexity, 2021 With the popularization of the Internet and the prevalence of online marketing, e-commerce systems provide enterprises with unlimited display space and provide customers with more product choices, while its structure is becoming increasingly complex. The
Lei Fu, XiaoMing Ma
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Implementation of Word Recommendation System Using Hybrid Method for Speed Typing Website
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2023 Typing is one of the most frequently done activities in society therefore a medium is necessary to help train typing words that are often mistyped. Methods used in this research are the Content-Based Filtering Algorithm to gather the words that have a ...
Melinda +3 more
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Content-based filtering algorithm in social media
Wasit Journal of Computer and Mathematics Science, 2023 Content-based filtering is a recommendation algorithm that analyzes user activity and profile data to provide personalized recommendations for content that matches a user's interests and preferences.
Siti Hashim, Johan Waden
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Data mining-based recommendation system using social networks—an analytical study [PDF]
PeerJ Computer Science, 2023 In the current age, social media is commonly used and shares enormous data. However, a huge amount of data makes it difficult to deal with. It requires a lot of storage and processing time.
Sahar Ajmal +4 more
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IEEE Access, 2022 Because a user’s behavior depends mainly on the user’s current interests, which can change over time, the sequential recommendation approach has become more prevalent in recommender systems. Many methods have been proposed that aim to model
Chanapa Channarong +3 more
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Content Based VGG16 Image Extraction Recommendation
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2022 Data transfer across numerous platforms has increased dramatically due to the enormous number of visitors or users of the present e-commerce platform. With the rise of increasingly massive data, consumers are finding it challenging to obtain the right ...
Arif Laksito, Muhammad Royyan Saputra
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Efficient Machine Learning Algorithms in Hybrid Filtering Based Recommendation System [PDF]
Journal of Information Technology Management, 2023 The widespread use of E-commerce websites has drastically increased the need for automatic recommendation systems with machine learning. In recent years, many ML-based recommenders and analysers have been built; however, their scope is limited to using a
. Ruchika +2 more
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Recommender systems to support learners’ Agency in a Learning Context: a systematic review
International Journal of Educational Technology in Higher Education, 2020 Recommender systems for technology-enhanced learning are examined in relation to learners’ agency, that is, their ability to define and pursue learning goals.
Michelle Deschênes
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Hybrid Recommendation Using Temporal Data for Accuracy Improvement in Item Recommendation
Journal of Information and Organizational Sciences, 2021 Recommender systems have become a vital entity to the business world in form of software tools to make decisions. It estimates the overloaded information and provides the suitable decisions in any kind of business work through online.
Desabandhu Parasuraman +1 more
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