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System to predict users' preferences
A recommender system, also called a recommendation algorithm, recommendation engine, recommendation platform, or in the context of social media, simply
Recommender_system
Potential problem in computer-based information systems
problem is a well known and well researched problem for recommender systems. Recommender systems form a specific type of information filtering (IF) technique
Cold start (recommender systems)
Cold_start_(recommender_systems)
Mathematical procedure
factorization is a class of collaborative filtering algorithms used in recommender systems. Matrix factorization algorithms work by decomposing the user-item
Matrix factorization (recommender systems)
Matrix_factorization_(recommender_systems)
Algorithmic selection of online media
curation is the selection of online media by technologies such as recommender systems and personalized search. Curation entails the selective sharing of
Algorithmic_curation
Knowledge-based recommender systems (knowledge based recommenders) are a specific type of recommender system that are based on explicit knowledge about
Knowledge-based recommender system
Knowledge-based_recommender_system
Academic conference series
ACM Conference on Recommender Systems (ACM RecSys) is an A-ranked peer-reviewed academic conference series about recommender systems. It is held annually
ACM Conference on Recommender Systems
ACM_Conference_on_Recommender_Systems
Textual emotion detection method
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
Sentiment_analysis
Topics referred to by the same term
recommendation created by a recommender system Search for "recommend" , "recommends", "recommender", "recommendation", or "recommending" on Wikipedia. All pages
Recommendation
Process by which platform algorithms increase the reach of certain content
Representative on Freedom of the Media. The declaration stated that recommender systems and other AI-powered curation tools exert "a large hidden influence
Algorithmic_amplification
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
Messaging_spam
Algorithm used by recommender systems
besides content-based filtering, one of two major techniques used by recommender systems. Collaborative filtering has two senses, a narrow one and a more
Collaborative_filtering
Mobile app for reviewing people
a star-rating system and allowing users to choose which comments appeared on their profiles. Reputation management Recommender system Impression management
Peeple_(app)
zero results through the filtering system. Scoring systems – Scoring systems are often found on recommender systems and allow users to rate products for
Product_finder
Medical expert system
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
CADUCEUS_(expert_system)
Multi-institutional research centre based in Australia
level of curation. This project aims to develop a next generation recommender system that enables equitable allocation of constrained resources. The project
ARC Centre of Excellence for Automated Decision-Making and Society
ARC_Centre_of_Excellence_for_Automated_Decision-Making_and_Society
Location-based recommendation is a recommender system that incorporates location information, such as that from a mobile device, into algorithms to attempt
Location-based_recommendation
Movie recommender system
MovieLens is a web-based recommender system and virtual community that recommends movies for its users to watch, based on their film preferences using
MovieLens
User interface type
often employing various recommender system techniques to adapt the behavior of an interface or an entire interactive system to individual user preferences
Intelligent_user_interface
Information systems supporting business or organizational decision-making activities
A decision support system (DSS) is an information system that supports business or organizational decision-making activities. DSSs serve the management
Decision_support_system
American computer scientist
recommender system for cyclists in Minneapolis-Saint Paul, Minnesota. Terveen co-authored the article "Evaluating collaborative filtering recommender
Loren_Terveen
Real-valued function that quantifies similarity between two objects
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
Similarity_measure
Personal recommendations service by Yandex
Zen (Russian: Дзéн, romanized: Dzen) is a personal recommender system that uses machine learning technology. It was created by Yandex and launched in 2015
Zen_(recommendation_system)
American computer scientist
received the 2010 ACM Software Systems Award for his work on the GroupLens Collaborative Filtering Recommender System which showed how distributed users
Paul_Resnick
Limit to value of recommender systems
The accuracy barrier is a concept in recommender systems referring to limits in the practical usefulness of accuracy-based evaluation metrics. It describes
Accuracy_barrier
Entertainment recommendation engine
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
TasteDive
user-preferences-based newsfeeds, etc. Recommender systems and content discovery platforms are active information filtering systems that attempt to present to the
Information_filtering_system
Music database and statistics website
website founded in the United Kingdom in 2002. Utilizing a music recommender system known as "Audioscrobbler", Last.fm creates a detailed profile of each
Last.fm
Search engine and digital library for scientific and academic papers
Josh (2009). "Conceptual recommender system for CiteSeerX". Proceedings of the third ACM conference on Recommender systems. New York: ACM Press. p. 241
CiteSeerX
Computer science research lab
Engineering at the University of Minnesota, Twin Cities specializing in recommender systems and online communities. GroupLens also works with mobile and ubiquitous
GroupLens_Research
Type of knowledge base
recommender systems. They are increasingly used in scientific research, with notable applications in fields such as genomics, proteomics, and systems
Knowledge_graph
Process to create executable computer programs
W.; Evald, P.; Tonin, N.; Devincenzi, S.; Botelho, S. (2022). A Recommender System of Computer Programming Exercises based on Student's Multiple Abilities
Computer_programming
Romantic relationships formed on the internet
while collaborative filtering and recommender systems have been demonstrated to be more effective than matching systems based on similarity and complementarity
Online_dating
Java library for full-text search
Gipp, “The Architecture and Datasets of Docear’s Research Paper Recommender System,” in Proceedings of the 3rd International Workshop on Mining Scientific
Apache_Lucene
Online music metadata database
(November 22, 2021). "Music Recommendation Systems: Techniques, Use Cases, and Challenges". Recommender Systems Handbook. pp. 927–971. doi:10.1007/978-1-0716-2197-4_24
MusicBrainz
Concept in natural language processing
abstract representations from text, as it happens in text analysis, recommender systems, semantic search and chatbots. In all these fields, concepts relevant
Entity_linking
features like further recommender algorithms and a plugin-system are evaluated and prepared for integration into the easyrec system. The underlying architecture
Easyrec
Collaborative cataloging of literature
reference management software List of social bookmarking websites Recommender system Goodreads The StoryGraph LibraryThing Anobii Letterboxd Rate Your
Social_cataloging_application
Item of metadata attached to a document
Recommender System". Philipp Scharpf; Ian Mackerracher; et al. (17 September 2019). "AnnoMathTeX - a formula identifier annotation recommender system
Annotation
American internet radio platform
(formerly known as Entercom). The Audacy platform functions as a music recommender system and is the national umbrella brand for the company's radio network
Audacy
Community rating algorithm
trust built by recommender systems. Collaborative filtering, used most commonly in recommender systems, are related to reputation systems in that they both
Reputation_system
Categorization of data using statistics
recognition – Automated recognition of patterns and regularities in data Recommender system – System to predict users' preferences Speech recognition – Automatic
Statistical_classification
Music service by Yahoo!, 2001 to 2018
personalized Internet radio stations by rating songs selected by a recommender system. Users were also able to listen to music from 150 preset Internet
Yahoo_Music
Dimensionality reduction of graph-based semantic data objects [machine learning task]
Knowledge-aware path-based attentive recommender with interpretability" (PDF). ACM Transactions on Recommender Systems, 3(3), 1-23.{{cite web}}: CS1 maint:
Knowledge_graph_embedding
Online database of digital resources
of digital libraries offering recommender systems are IEEE Xplore, Europeana, and GESIS Sowiport. The recommender systems work mostly based on content-based
Digital_library
Relationship between items in a set
given journal. Ordinal data Percentile rank Rating (disambiguation) Recommender system "Definition of RANKING". Sulich, Adam. "The young people's labour
Ranking
Creating a data structure representing a user
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_modeling
Systems-design paradigm
contributions. As a result of these contributions, the system overall becomes of higher quality. Recommender systems attempt to predict the 'rating' or 'preference'
Incentive-centered_design
2019 US appeals court decision
first federal appellate court to do so. The court ruled that the recommender system remains as part of the role of the distributor of the content and
Force_v._Facebook,_Inc.
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
Jussi_Karlgren
Belgian computer scientist (born 1961)
also enjoy. This was an early example of collaborative filtering recommender system. It led to Firefly, the first commercial music recommendation website
Pattie_Maes
Internet radio service
personalized Internet radio stations by rating songs selected by a recommender system. Users were also able to listen to music from 150 preset Internet
Yahoo_Music_Radio
American web advertising platform
Retrieved 16 August 2018. Kafka, Peter (11 December 2012). "Content-Recommender Outbrain Buys Content-Fetcher Scribit". Allthingsd. Lynley, Matthew (7
Outbrain
American computer scientist
people in social networks and did early research on trust-based recommender systems. She was a program co-chair of ACM RecSys 2015. and General Chair
Jen_Golbeck
Overview of and topical guide to deep learning
computer vision, natural language processing, speech recognition, recommender systems, robotics, and generative artificial intelligence. A field of study
Outline_of_deep_learning
Feature of some statistical distributions
smaller niches. Not all recommender systems are equal, however, when it comes to expanding the long tail. Some recommenders (i.e. certain collaborative
Long_tail
Multimedia delivery method
artists through chats and likes. Most streaming services feature a recommender system for viewing based on each user's view history in conjunction with
Streaming_media
Interdisciplinary science of getting data from music
identification, and music tagging are also popular topics. Several recommender systems for music already exist, but surprisingly few are based upon MIR
Music_information_retrieval
Estimate of the importance of a word in a document
modeling. A survey conducted in 2015 showed that 83% of text-based recommender systems in digital libraries used tf–idf.[verify] Variations of the tf–idf
Tf–idf
Any algorithm which solves the search problem
optimization – Average solution cost is the same with any method Recommender system – System to predict users' preferences, also use statistical methods to
Search_algorithm
Technological phenomenon with social implications
created by the dataset the algorithm is acting on. Recommender systems such as those used to recommend online videos or news articles can create feedback
Algorithmic_bias
Communication software feature used to express support
unseemly content and made it his own". Likejacking Moderation system Recommender system Surfbook Trust metric Dedić, N. and Stanier, C. (2017) "Towards
Like_button
Process in machine learning and statistics
irrelevant features. Recommender system based on feature selection. The feature selection methods are introduced into recommender system research. Cluster
Feature_selection
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
WinnowTag
Decision-making process conducted with varying degrees of human oversight
Calculation (formula) ADMTs for assessment and grouping: User profiling Recommender systems Clustering Classification Feature learning Predictive analytics (includes
Automated_decision-making
System to sort undesirable contributions
Censorship by TikTok Like button Meta-moderation system Moody v. NetChoice, LLC News aggregator Recommender system Social network aggregation Trust metric We
Content_moderation
Using technology to accommodate the differences between individuals
advertising. Personalization acts as a key element in social media and recommender systems. Personalization influences every sector of society—be it work, leisure
Personalization
2023 United States Supreme Court case
the United States which dealt with the question of whether or not recommender systems are covered by liability exemptions under section 230 of the Communications
Gonzalez_v._Google_LLC
Spanish movie review website launched 2002
reviews written by its users. Registered users can rate movies, find recommended films based on their personal ratings, create any kind of movie lists
FilmAffinity
Website on which reviews can be posted about people, businesses, products, or services
scale Phrase completion scales Rating scale Recommender system Reddit Reputation management Reputation system Thurstone scale Trust metric Star (classification)
Review_site
Numerics Contributors". GitHub.com. Retrieved 2013-05-08. "MyMediaLite Recommender System Library". Archived from the original on 2013-06-01. Retrieved 2013-05-08
Math.NET_Numerics
Artificial intelligence software company
film, television, dining, nightlife, fashion, books, and travel. The recommender system uses AI to predict correlations for further applications. Qloo was
Qloo
recommender system can detect attacks by exploiting the fact that the distributions of these metrics differ when there are spam users in the system.
Robust collaborative filtering
Robust_collaborative_filtering
Hazmat labeling system
Woodworth, Miles E. (1969). "Proposed Amendments on Revisions to the Recommended System for the Identification of The Fire Hazards of Materials / NFPA No
NFPA_704
Music-oriented social networking system
Ping, was a software-based, music-oriented social networking and recommender system developed and operated by Apple Inc. It was announced and launched
ITunes_Ping
Highway system of the United States of America
organizations, and the system of road marking at the time was haphazard and not uniform. In 1925, the Joint Board on Interstate Highways, recommended by the American
United States Numbered Highway System
United_States_Numbered_Highway_System
Marketing strategy using data analysis to deliver individualized messages and products
information system Personal branding Real-time bidding Real-time data Real-time marketing Recommender system Relationship marketing Reputation system Surveillance
Personalized_marketing
Statistical technique for smoothing categorical data
tasks such as language-model-based pseudo-relevance feedback and recommender systems. Bayesian average Prediction by partial matching Categorical distribution
Additive_smoothing
Zhao Yang; Meng, Ke; Lai, Loi Lei (July 2020). "Electricity plan recommender system with electrical instruction-based recovery". Energy. 203 117775. Bibcode:2020Ene
Electricity_pricing
Website providing film and TV programming
movie search and recommendations into devices such as set-top boxes. Recommender system Video on demand How the first TV Hackfest solved a problem common
Tank_Top_TV
Vertical search engine
optimization Customer switching Discovery shopping Gasoline price website Recommender system Switchwise Doorenbos, Robert B.; Etzioni, Oren; Weld, Daniel S. (8
Comparison_shopping_website
Reference management software
B.; Aizawa, A.; Beel, J. (2017). "Integration of the Scientific Recommender System Mr. DLib into the Reference Manager JabRef". In Jose, Joemon M; Hauff
JabRef
Unix-like operating system
wouldn't recommend the operating system instead of a more mainstream Linux distribution. Free and open-source software portal List of BSD operating systems Comparison
GhostBSD
Recommender algorithm
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
Item-item collaborative filtering
Item-item_collaborative_filtering
Research's cloud-based SaaS e-commerce product recommender service. "NY's largest online grocer adopts Scarab recommender". Budapest Business Journal. 2010-08-06
Scarab_Research
Chinese news and information content platform
Toutiao Video), Toutiao's online video platform Artificial intelligence Recommender system Machine learning Algorithm "The dream of Toutiao". Jie Mian. Archived
Toutiao
McDonald), people recommender systems deal with recommending people to people on social media. Aspects making people recommender systems distinct from traditional
Social_information_processing
on various kinds of user-adaptive computer systems such as Adaptive hypermedia systems, Recommender systems, Adaptive websites, Adaptive learning, Personalized
International Conference on User Modeling, Adaptation, and Personalization
International_Conference_on_User_Modeling,_Adaptation,_and_Personalization
IT vendor company
Gravity Research & Development Zrt.) is an IT vendor specialized in recommender systems. Gravity was founded by members of the Netflix Prize team "Gravity"
Gravity_R&D
Sequence of operations for a task
well-defined correct or optimal results. For example, although social media recommender systems are commonly called "algorithms", they actually rely on heuristics
Algorithm
Environment needed to run software
requirements: minimum and recommended. With increasing demand for higher processing power and resources in newer versions of software, system requirements tend
System_requirements
Image retrieval Video indexing Similarity search in P2P systems Mobile computing Recommender system The iDistance was first proposed by Cui Yu, Beng Chin
IDistance
Measure of semantic similarity
used to cluster objects, such as for collaborative filtering in a recommender system, in which “similar” users and items are grouped based on the users’
SimRank
News app
Artifact was a personalized social news aggregator app that uses recommender systems to suggest articles. Launched in January 2023 by Nokto, Inc., a company
Artifact_(app)
Swiss computer scientist
methods for obtaining accurate user preferences through dialogue-based recommender systems. Pu has served on editorial boards and conference committees such
Pearl_Pu
Video-sharing platform
Wong, Julia Carrie; Levin, Sam (January 25, 2019). "YouTube vows to recommend fewer conspiracy theory videos". The Guardian. ISSN 0261-3077. Archived
YouTube
American computer scientist
pioneer of recommender systems". Star Tribune. 28 July 2013. Retrieved 2021-03-14. "Professor John Riedl, pioneer in recommender systems, dies". University
John_T._Riedl
Measure used to restrict access by age
verification, or age gate, is the use of any technical system that externally verifies a person's age. These systems are used primarily to restrict access to content
Age_verification
Hong Kong computer scientist
for his contributions to machine learning, social computing, and recommender systems. King is a professor in the Department of Computer Science and Engineering
Irwin_King
Specialized electronic circuit that accelerates graphics
FFmpeg Transcoding Guide". 24 July 2019. "Recommended System: Recommended Systems for DaVinci Resolve". Puget Systems. "GPU Accelerated Rendering and Hardware
Graphics_processing_unit
Type of problem in computing
Stathes (March 2014). "Facing the cold start problem in recommender systems". Expert Systems with Applications. 41 (4): 2065–2073. doi:10.1016/j.eswa
Cold_start_(computing)
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