Results 21 to 30 of about 693,736 (295)
Improving Data Sparsity in Recommender Systems Using Matrix Regeneration with Item Features
Mathematics, 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
Content based SMS spam filtering
Proceedings of the 2006 ACM symposium on Document engineering, 2006 In the recent years, we have witnessed a dramatic increment in the volume of spam email. Other related forms of spam are increasingly revealing as a problem of importance, specially the spam on Instant Messaging services (the so called SPIM), and Short Message Service (SMS) or mobile spam.
José María Gómez Hidalgo +3 more
openaire +2 more sources
Metadata impact on research paper similarity [PDF]
, 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
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
doaj +1 more source
Collaborative Deep Learning for Recommender Systems [PDF]
, 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
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
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
doaj +1 more source
Automatic human face detection for content-based image annotation [PDF]
, 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
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
A New Content Based Median Filter
, 2004 Publication in the conference proceedings of EUSIPCO, Viena, Austria ...
Gerasimos Louverdis +2 more
openaire +2 more sources