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

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...

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...

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...

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...

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...

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

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

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

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

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

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...

trust built by recommender systems. Collaborative filtering, used most commonly in recommender systems, are related to reputation systems in that they both...

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

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

Recommender System". Philipp Scharpf; Ian Mackerracher; et al. (17 September 2019). "AnnoMathTeX - a formula identifier annotation recommender system...

linguistics to stylometry, for having first formulated the notion of a recommender system, and for his continued work in bringing non-topical features of text...

received the 2010 ACM Software Systems Award for his work on the GroupLens Collaborative Filtering Recommender System which showed how distributed users...

MovieLens is a web-based recommender system and virtual community that recommends movies for its users to watch, based on their film preferences using...

winnowTag is a web-based recommender system and news aggregator in which a person tags example items as belonging to a topic, thus training statistical...

item-based, or item-to-item, is a form of collaborative filtering for recommender systems based on the similarity between items calculated using people's ratings...

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

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