Results 31 to 40 of about 693,638 (193)

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
openaire   +2 more sources

Web-Based Makeup Recommendation System Using Hybrid Filtering

Journal of Applied Informatics and Computing
The 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, I Nyoman Prayana Trisna, Wayan Oger Vihikan   +2 more
doaj   +1 more source

Implementation of a Hybrid Filtering Approach in a Website-based Football News Recommendation System

Sistemasi: Jurnal Sistem Informasi
The rapid growth of football news on digital portals has made it increasingly difficult for users to find information that matches their interests.
Krissna Haridarma Putra, Arif Nur Rohman, Norhikmah hikmah   +2 more
doaj   +1 more source

Top-k Learning Resource Matching Recommendation Based on Content Filtering PageRank [PDF]

Jisuanji gongcheng, 2017
Aiming at the problem of the polysemous words and synonyms of text processing in the online education support technology,a Top-k learning resource recommendation algorithm based on content filtering PageRank is proposed.A learning resource filtering ...
LIANG Tingting,LI Chunqing,LI Haisheng
doaj   +1 more source

On the Impact of Entity Linking in Microblog Real-Time Filtering

, 2016
Microblogging is a model of content sharing in which the temporal locality of posts with respect to important events, either of foreseeable or unforeseeable nature, makes applica- tions of real-time filtering of great practical interest.
Berardi G., Han Z., Ounis I., Robertson S., Soboroff I., Zhang Y.   +5 more
core   +1 more source

Collaborative Filtering vs. Content-Based Filtering: differences and similarities

CoRR, 2019
Recommendation Systems (SR) suggest items exploring user preferences, helping them with the information overload problem. Two approaches to SR have received more prominence, Collaborative Filtering, and Content-Based Filtering. Moreover, even though studies are indicating their advantages and disadvantages, few results empirically prove their ...
Rafael Glauber, Angelo C. Loula
openaire   +2 more sources

An Ontology-Based Recommender System with an Application to the Star Trek Television Franchise

, 2019
Collaborative filtering based recommender systems have proven to be extremely successful in settings where user preference data on items is abundant. However, collaborative filtering algorithms are hindered by their weakness against the item cold-start ...
Becerra, Claudia, Dueñas, George, Jimenez, Sergio, Onsjö, Mikael, Sheridan, Paul   +4 more
core   +1 more source

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
openaire   +2 more sources

Café Recommendation Using the Content-Based Filtering Method

Journal of Information Systems and Informatics
The coffee industry has experienced rapid growth over the last decade. In this research, the content-based filtering approach is employed to suggest cafes by analyzing the similarity of different features or attributes.
Anggito Whiku Wicaksono, Arif Nur Rohman, Anggit Dwi Hartanto   +2 more
doaj   +1 more source

Advisor-Oriented Course Recommendation System Using Student Grades

JITCE (Journal of Information Technology and Computer Engineering), 2023
In some universities, student advisors are often hired to enhance students’ retention rate. Having some students in mind, these advisors may find some difficulties in guiding the students in terms of selecting relevant courses.
Muftah Afrizal Pangestu, Oscar Karnalim
doaj   +1 more source