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361
MovieDIRec: Drafted-Input-Based Recommendation System for Movies
Published 2021-11-01Subjects: Get full text
Article -
362
Emergence of scale-free leadership structure in social recommender systems.
Published 2011-01-01Get full text
Article -
363
A Survey on E-Learning Recommendation Systems for Autistic People
Published 2024-01-01Subjects: Get full text
Article -
364
Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems
Published 2023Get full text
Article -
365
Trust decomposition with classification in probabilistic matrix factorization for recommender systems
Published 2019“…Trust has become more and more effective in the recommender system, which complements rating-based similarity to help to improve the final performance of rating prediction. …”
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Thesis -
366
Mobile-web food recommendation system based on food reviews
Published 2020Get full text
Final Year Project (FYP) -
367
Mobile-web food recommendation system based on food reviews
Published 2021“…In this project, we aim to develop a recommendation system for food items in NTU canteens and restaurants. …”
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Final Year Project (FYP) -
368
A critical study on MovieLens dataset for recommender systems
Published 2023“…The growth in recommendation systems (RecSys) research has led to the development of many toolkits, which provide users, who may have varying levels of knowledge in the field, with the necessary tools to build, test, evaluate and benchmark different algorithms. …”
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Final Year Project (FYP) -
369
Impact of temporal context on recommender systems along global timeline
Published 2024“…Recommender systems filter through the vast pool of information and provide personalized recommendations. …”
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Thesis-Doctor of Philosophy -
370
Towards trustworthy recommenders: building explainable and unbiased recommendation systems
Published 2024“…Our goal is to develop an explainable and unbiased recommendation system that improves the transparency and fairness of recommendation systems, as unfair recommendations are caused by various biases. …”
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Thesis-Doctor of Philosophy -
371
Web-based English comprehension question analysis and recommendation system
Published 2014Get full text
Final Year Project (FYP) -
372
A Review Text-based Recommendation System in Text Mining
Published 2022“…However, the large amount of data makes it difficult for users to find information that suits their needs. The recommendation system is an option to provide accurate information so that it can find and determine information based on needs. …”
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Conference or Workshop Item -
373
Customers’ loyalty model in the design of e-commerce recommender systems
Published 2024Subjects: “…Recommender systems (Information filtering)…”
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Thesis -
374
Attention and saliency on the internet: Evidence from an online recommendation system
Published 2019“…Counterfactuals suggest that limited attention disproportionately harms top-selling products but recommendation systems can alleviate these search frictions.…”
Journal article -
375
A systematic review of scholar context-aware recommender systems
Published 2015“…Incorporating contextual information in recommender systems is an effective approach to create more accurate and relevant recommendations. …”
Article -
376
Social Media Recommender Systems: Review and Open Research Issues
Published 2018“…In recent years, different types of review systems have been developed with the recommender system (RS). RSs are developed based on user textual reviews, ratings, and comparative opinions. …”
Article -
377
Adaptive method to improve web recommendation system for anonymous users
Published 2011Subjects: “…Recommender systems (Information filtering)…”
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Thesis -
378
HYPNER a framework for hybrid personalized news recommender systems
Published 2014“…The current problem in the existing news recommender system including the hybrid recommenders is that accuracy is still considerable low. …”
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Conference or Workshop Item -
379
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380
Community Aware Recommendation System with Explicit and Implicit Link Prediction
Published 2023“…Recommendation systems are essential tools that help users discover content they may be interested in, amidst the vast amount of information available online. …”
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Article