Results 21 to 30 of about 693,638 (193)
Content-Based Filtering with Tags: The FIRSt System [PDF]
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
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Improving Data Sparsity in Recommender Systems Using Matrix Regeneration with Item Features
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
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]
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
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]
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
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
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]
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
Publication in the conference proceedings of EUSIPCO, Viena, Austria ...
Gerasimos Louverdis +2 more
openaire +2 more sources

