A recommender system (RecSys), or a recommendation system (sometimes replacing system with terms such as platform, engine, or algorithm) and sometimes...

problem is a well known and well researched problem for recommender systems. Recommender systems form a specific type of information filtering (IF) technique...

factorization is a class of collaborative filtering algorithms used in recommender systems. Matrix factorization algorithms work by decomposing the user-item...

Knowledge-based recommender systems (knowledge based recommenders) are a specific type of recommender system that are based on explicit knowledge about...

ACM Conference on Recommender Systems (ACM RecSys) is an A-ranked peer-reviewed academic conference series about recommender systems. It is held annually...

the user-generated text, a hybrid recommender system can be constructed. There are two types of motivation to recommend a candidate item to a user. The...

recommendation created by a recommender system Search for "recommend" , "recommends", "recommender", "recommendation", or "recommending" on Wikipedia. All pages...

Zen (Russian: Дзéн, romanized: Dzen) is a personal recommender system that uses machine learning technology. It was created by Yandex and launched in 2015...

helpless to the recommender system. However, even if a review is well generated, they can still be harmful to the recommender system by their biased prejudice...

besides content-based filtering, one of two major techniques used by recommender systems. Collaborative filtering has two senses, a narrow one and a more...

often employing various recommender system techniques to adapt the behavior of an interface or an entire interactive system to individual user preferences...

CADUCEUS was a medical expert system, an early type of recommender system - by Harry Pople of the University of Pittsburgh. Finished in the mid-1980s...

Location-based recommendation is a recommender system that incorporates location information, such as that from a mobile device, into algorithms to attempt...

recognition – Automated recognition of patterns and regularities in data Recommender system – System to predict users' preferences Speech recognition – Automatic...

zero results through the filtering system. Scoring systems – Scoring systems are often found on recommender systems and allow users to rate products for...

personalized Internet radio stations by rating songs selected by a recommender system. Users were also able to listen to music from 150 preset Internet...

reducing the steps needed to find a solution. Recommender system: The basic idea of recommender systems is to present a selection of items to the user...

user-preferences-based newsfeeds, etc. Recommender systems and content discovery platforms are active information filtering systems that attempt to present to the...

recommender system for cyclists in Minneapolis-Saint Paul, Minnesota. Terveen co-authored the article "Evaluating collaborative filtering recommender...

(22 November 2021). "Music Recommendation Systems: Techniques, Use Cases, and Challenges". Recommender Systems Handbook. pp. 927–971. doi:10.1007/978-1-0716-2197-4_24...

a star-rating system and allowing users to choose which comments appeared on their profiles. Reputation management Recommender system Impression management...

accepted. It is possible then to recommend to a user targets with high similarity to the user's likes. Recommender systems are observed in multiple online...

Josh (2009). "Conceptual recommender system for CiteSeerX". Proceedings of the third ACM conference on Recommender systems. New York, New York, US: ACM...

A decision support system (DSS) is an information system that supports business or organizational decision-making activities. DSSs serve the management...

also enjoy. This was an early example of collaborative filtering recommender system. It led to Firefly, the first commercial music recommendation website...

abstract representations from text, as it happens in text analysis, recommender systems, semantic search and chatbots. In all these fields, concepts relevant...

personalized Internet radio stations by rating songs selected by a recommender system. Users were also able to listen to music from 150 preset Internet...

of digital libraries offering recommender systems are IEEE Xplore, Europeana, and GESIS Sowiport. The recommender systems work mostly based on content-based...

contributions. As a result of these contributions, the system overall becomes of higher quality. Recommender systems attempt to predict the 'rating' or 'preference'...

competitors of TasteDive are Taste App, Trakt.tv and Tastoid. Rating site Recommender system Lowensohn, Josh (28 October 2008). "Taste Kid offers dead simple content...