Cited By
View all- THIERRY NChrist Chatelain IAli ZKefalas P(2024)Improved paper recommendation model incorporating knowledge graph embedding with IRGAN modelACM Transactions on Recommender Systems10.1145/3710898Online publication date: 31-Dec-2024
User-based Collaborative Filtering (CF) is one of the most popular approaches to create recommender systems. This approach is based on finding the most relevant k users from whose rating history we can extract items to recommend. CF, however, suffers ...
Collaborative Filtering (CF) is the most popular recommendation technique but still suffers from data sparsity, user and item cold-start problems, resulting in poor recommendation accuracy and reduced coverage. This study incorporates additional ...
In recommender systems, user preferences can be acquired either explicitly by means of ratings, or implicitly --e.g., by processing text reviews, and by mining item browsing and purchasing records. Most existing collaborative filtering approaches have ...
Association for Computing Machinery
New York, NY, United States
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inView or Download as a PDF file.
PDFView online with eReader.
eReaderView this article in HTML Format.
HTML Format