Results 61 to 70 of about 66,257 (173)
Dual-triangular Recommender System
Data Science and EngineeringRecommendation system technologies predominantly focus on user-item interaction data, which are mapped into shared vector spaces for digital representation. These representations are then analyzed to uncover the relationships between users and items.
Pei-Yuan Lai +2 more
doaj +1 more source
Efficient Recommender Systems [PDF]
We study the efficient allocation of buyers in the presence of recommender systems. A recommender system affects the market in two ways: (i) it creates value by reducing product uncertainty for the customers and hence (ii) its recommendations can be ...
Deran Ozmen, Dirk Bergemann
core
Applying Recommender Systems to Predict Personalized Film Age Ratings for Parents
AlgorithmsA motion picture content rating system categorizes a film based on its appropriateness for various audiences, considering factors such as portrayals of sex, violence, substance abuse, profanity, and other elements typically considered unsuitable for ...
Harris Papadakis +2 more
doaj +1 more source
Including Item Characteristics in the Probabilistic Latent Semantic Analysis Model for Collaborative Filtering [PDF]
We propose a new hybrid recommender system that combines some advantages of collaborative and content-based recommender systems. While it uses ratings data of all users, as do collaborative recommender systems, it is also able to recommend new items and ...
Kagie, M. +2 more
core +1 more source
Collaborative filtering-based group recommender system using sparse autoencoder
IJAIN (International Journal of Advances in Intelligent Informatics)The development of technology makes the distribution of information easier and faster, but leads to information overload. A recommender system is one tool to overcome information overload, while the collaborative filtering (CF) paradigm is a widely used ...
Musthafa Zaki Bahar +1 more
doaj +1 more source
Optimal Pricing with Recommender Systems [PDF]
We study optimal pricing in the presence of recommender systems. A recommender system affects the market in two ways: (i) it creates value by reducing product uncertainty for the customers and hence (ii) its recommendations can be offered as add-ons ...
Deran Ozmen, Dirk Bergemann
core
Emerging trends of recommender system for e-commerce: a comprehensive review
Discover ComputingWith the rapid growth of online information, the recommender system (RSs) has become essential tools for filtering information and generating personalized recommendations for customers. These systems analyze individual user preferences, past reviews, and
Chour Singh Rajpoot +2 more
doaj +1 more source
Modern Approaches to Building Recommender Systems for Online Stores
Applied Computer Systems, 2019 The article presents current approaches to solving the problem of building recommender systems designed to intellectualize the user interface of online stores.
Onokoy Lyudmila, Lavendels Jurijs
doaj +1 more source
Complexity, 2018 Recommender systems suggest items to users based on their potential interests, and they are important to alleviate the search and selection pressures induced by the increasing item information.
Qiuzhen Lin +6 more
doaj +1 more source
Improving the Dependability of Destination Recommendations using Information on Social Aspects [PDF]
Prior knowledge of the social aspects of prospective destinations can be very influential in making travel destination decisions, especially in instances where social concerns do exist about specific destinations.
Adigun, Mathew O. +3 more
core +1 more source