Results 21 to 30 of about 27,052,763 (294)
On the Smaller Number of Inputs for Determining User Preferences in Recommender Systems
Mathematics, 2020 One of the most popular applications for the recommender systems is a movie recommendation system that suggests a few movies to a user based on the user’s preferences.
Sang-Min Choi, Dongwoo Lee, Chihyun Park
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An approach for combining content-based and collaborative filters [PDF]
Proceedings of the sixth international workshop on Information retrieval with Asian languages -, 2003 In this work, we apply a clustering technique to integrate the contents of items into the item-based collaborative filtering framework. The group rating information that is obtained from the clustering result provides a way to introduce content information into collaborative recommendation and solves the cold start problem.
Qing Li 0005, Byeong Man Kim
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A Hybrid Approach for Personalized and Intelligent Content Recommendation in Digital Libraries
Applied SciencesThe rapid digitization of cultural heritage materials has led to the substantial growth of digital library collections, particularly large and heterogeneous archives of periodicals.
Emanuela Mitreva +4 more
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Edumatic, 2020 The industry that is experiencing significant development is the music industry. An example of its development is the many online music service providers of application platforms. The amount of data stored makes it difficult to analyze existing data, the
Aldy Istna Putra, Reva Ragam Santika
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Marvel Movie Recommendation System Using Hybrid Item-Based and Content-Based Filtering Methods
TIERS Information Technology JournalCurrently, there are so many movie genres available to the general public, making it difficult for viewers to choose a movie. One of the most popular movies is the “Marvel Movies” or MCU (Marvel Cinematic Universe), which has become the highest grossing ...
Daffa Rizki Putra Noordi +2 more
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A New Content Based Median Filter
, 2004 Publication in the conference proceedings of EUSIPCO, Viena, Austria ...
Gerasimos Louverdis +2 more
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Implicit Rating and Filtering [PDF]
, 1998 Social filtering systems that use explicit ratings require a large number of ratings to remain viable. The effort involved for a user to rate a document may outweigh any benefit received, leading to a shortage of ratings.
Nichols, David
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Content-based approach for Vietnamese spam SMS filtering [PDF]
2016 International Conference on Asian Language Processing (IALP), 2016 Short Message Service (SMS) spam is a serious problem in Vietnam because of the availability of very cheap pre-paid SMS packages. There are some systems to detect and filter spam messages for English, most of which use machine learning techniques to analyze the content of messages and classify them.
Thai-Hoang Pham, Phuong Le-Hong
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Choice of Metrics used in Collaborative Filtering and their Impact on Recommender Systems [PDF]
, 2008 The capacity of recommender systems to make correct predictions is essentially determined by the quality and suitability of the collaborative filtering that implements them.
E. Martinez +7 more
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Web-Based Makeup Recommendation System Using Hybrid Filtering
Journal of Applied Informatics and ComputingThe increasing use of makeup products in the modern era, driven by evolving beauty trends and e-commerce accessibility, presents challenges in selecting products suited to individual skin types and conditions. A recommendation system addresses this issue
Putu Mia Setya Utami +2 more
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