Results 21 to 30 of about 693,638 (193)

Content-Based Filtering with Tags: The FIRSt System [PDF]

open access: yes2009 Ninth International Conference on Intelligent Systems Design and Applications, 2009
Basic content personalization consists in matching up the attributes of a user profile, in which preferences and interests are stored, against the attributes of a content object. This paper describes a content-based recommender system, called FIRSt, that integrates user generated content (UGC) with semantic analysis of content. The main contribution of
Pasquale Lops   +5 more
openaire   +2 more sources

Improving Data Sparsity in Recommender Systems Using Matrix Regeneration with Item Features

open access: yesMathematics, 2023
With the development of the Web, users spend more time accessing information that they seek. As a result, recommendation systems have emerged to provide users with preferred contents by filtering abundant information, along with providing means of ...
Sang-Min Choi   +4 more
doaj   +1 more source

Gezi Öneri Sistemine Kullanıcı Özelliklerinin Etkisi

open access: yesDüzce Üniversitesi Bilim ve Teknoloji Dergisi, 2018
Günümüzde öneri sistemlerinin kullanıldığı alanlargiderek artmaktadır. Öneri(tavsiye) sistemlerinin yaygınlaşmasıylakullanıcılara doğru önerilerde bulunmak gün geçtikçe önem kazanmıştır.
Gizem Zeynep Parim, Nevcihan Duru
doaj   +1 more source

Metadata impact on research paper similarity [PDF]

open access: yes, 2010
While collaborative filtering and citation analysis have been well studied for research paper recommender systems, content-based approaches typically restrict themselves to straightforward application of the vector space model.
Cornelis, Chris   +3 more
core   +2 more sources

Penerapan Metode Content Based Filtering Dalam Implementasi Sistem Rekomendasi Tanaman Pangan

open access: yesTeknika, 2019
Panjangnya rantai distribusi merupakan salah satu permasalahan pokok di sektor pangan yang berdampak pada mahalnya harga-harga pangan. Permasalahan ini sejalan dengan prioritas pembangunan Kabupaten Sleman tahun 2017 untuk mewujudkan kemandirian ekonomi ...
Putri Nastiti
doaj   +1 more source

Collaborative Deep Learning for Recommender Systems [PDF]

open access: yes, 2015
Collaborative filtering (CF) is a successful approach commonly used by many recommender systems. Conventional CF-based methods use the ratings given to items by users as the sole source of information for learning to make recommendation.
Baldi P.   +16 more
core   +1 more source

A Hybrid Approach for Personalized and Intelligent Content Recommendation in Digital Libraries

open access: yesApplied Sciences
The 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
doaj   +1 more source

On the Smaller Number of Inputs for Determining User Preferences in Recommender Systems

open access: yesMathematics, 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
doaj   +1 more source

Automatic human face detection for content-based image annotation [PDF]

open access: yes, 2008
In this paper, an automatic human face detection approach using colour analysis is applied for content-based image annotation. In the face detection, the probable face region is detected by adaptive boosting algorithm, and then combined with a colour ...
Jiang, M, Sadka, A H, Zhou, H
core   +1 more source

A New Content Based Median Filter

open access: yes, 2004
Publication in the conference proceedings of EUSIPCO, Viena, Austria ...
Gerasimos Louverdis   +2 more
openaire   +2 more sources

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