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- 13th ACM Conference on Ubiquitous Computing
- 2010 Challenge on Context-aware Movie Recommendation
- 2011 Challenge on Context-aware Movie Recommendation
- 2011 Conference on User Modeling, Adaptation and Personalization
- 2011 International Conference on Intelligent User Interfaces
- 2012 Conference on User Modeling, Adaptation and Personalization
- 2012 International Conference on Intelligent User Interfaces
- 2013 Conference on User Modeling, Adaptation and Personalization
- 2013 ECML PKDD Discovery Challenge 2013 - Recommending Given Names
- 34th European Conference on Information Retrieval
- ACM RecSys
- ACM Recommender Systems 2009
- ACM Recommender Systems 2010
- ACM Recommender Systems 2011
- ACM Recommender Systems 2012
- ACM Recommender Systems 2013
- ACM Recommender Systems 2014
- ACM Recommender Systems 2015
- ACM Symposium on Applied Computing 2012
- ADeNu
- ASOS
- Active learning
- Alan Said
- Alibaba
- Alphabet
- Amazon
- Andrej Kosir
- Apple
- Area Under the ROC Curve
- Beyond Algorithms: An HCI Perspective on Recommender Systems
- BibSonomy
- Case-based reasoning
- Cold-start problem
- Collaborative Filtering Recommender Systems
- Collaborative filtering
- Common Recommender REST API
- Content-based filtering
- Context-aware recommendation
- Cosine similarity
- Crab
- Criteo
- Crowd-powered recommendation for continuous digital media access and exchange in social networks
- Daniel Tunkelang
- Delicious
- Discounted cumulative gain
- Dynamic Personalization of Multimedia
- Easyrec
- Educational Recommender Systems and Technologies: Practices and Challenges
- Educational recommender systems
- Empire 2013
- Empire 2014
- Ensemble
- European Conference on Information Retrieval
- European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
- Evaluating collaborative filtering recommender systems
- Expectation-Maximization
- Explicit feedback
- Feature-based matrix factorization
- Filmaster
- Filmaster API
- Filmtipset
- Flixster
- FolkRank
- Formative evaluation
- Gradient descent
- Gravity
- Grocery shopping datasets
- GroupLens Research
- Group recommendation
- Harry Potter effect
- Hulu
- Hybrid recommender
- IJCAI 2011
- Implicit feedback
- Internships
- Item prediction
- Joost de Wit
- Julia Hoxha
- KDD 2011
- KDD 2012
- KDD Cup 2007
- KDD Cup 2011
- KNN
- Knewton
- Knowledge & Data Engineering
- LDOS Comoda
- LDOS PerAff 1
- LensKit
- LibRec
- LightFM
- List of RecSys-relevant Conferences
- List of recommender system blogs
- List of recommender system dissertations
- List of recommender systems master's theses
- Mahout
- Main Page
- Manipulation of recommender systems
- Maria Augusta Silveira Netto Nunes
- Marko Tkalcic
- Marko Tkalčič
- Matrix factorization
- Mean absolute error
- Meta
- Michael Ekstrand
- Million Song Dataset
- Million Song Dataset Challenge
- MovieLens
- MovieLens 100k Details
- MovieLens 100k benchmark results
- MovieLens 10M Details
- MovieLens 1M Details
- Moviepilot
- Movietweetings
- Mrec
- Music recommendation
- MyMediaLite
- MyMediaLite/Dice and Tyversky
- MyMediaLite/Workshop projects
- NVidia
- Neal Lathia
- Netflix
- Netflix Prize
- News recommendation
- Objective evaluation measures
- Okapi
- Open Recommendation Platform
- Open positions at Apaxo 2012
- Open positions at Comcast 2013
- Open positions at Netflix 2012
- Open positions at Nokia 2013
- Open positions at Otto Group 2012
- Open positions at Zalando 2020
- Paul Resnick
- Pearson correlation
- Personalized Music Retrieval
- Plista
- Plista Contest
- Practical Recommender Systems
- Precision and recall
- Predicting movie ratings and recommender systems
- Python-recsys
- Qualitative user-studies
- Quantitative user experiments or field trials
- RSSE
- RankSys
- Rating prediction
- Ratings
- RecDB
- RecLab Prize On Overstock.com
- RecSys-frontend
- RecSysTEL
- RecSys 2015
- RecSys community
- Recdb
- Recommendable
- Recommendation Datasets
- Recommendation Software
- Recommender101
- RecommenderAPI for Drupal
- Recommender Meetup Amsterdam
- Recommender Stammtisch
- Recommender Systems: An Introduction
- Recommender Systems Challenge
- Recommender Systems in E-Learning Settings
- Recommender Systems in the Social Web: Heterogeneity and Time Dimension
- Recommender system
- Regularization
- Research paper recommendation
- RiVal
- Root mean square error
- Rs4vlc
- Ruby
- Ruby on Rails
- SIGIR 2011
- SLIM
- SVD++
- SVDFeature
- Semantic Recommendations based on Large Unstructured Datasets
- Similarity measure
- Simplifying user-centric evaluation
- Singular value decomposition
- SnoopyTagging
- Social filtering
- Spotify
- Standardization of user-centric evaluation
- Subjective evaluation measures
- Summary of Matrix Factorization Tricks
- Summative evaluation
- Supervised learning
- Tag
- TagRec
- Tag recommendation
- Tatarnikov Alexander (diezelsun)
- Test.fm
- Tf-idf
- The Galaxy of Movies
- Till Plumbaum
- To Do List
- Top-N recommendation
- Trade-offs between formative and summative evaluation
- UCERSTI
- UMAP
- User Modeling and User-Adapted Interaction
- VideoLectures.net Recommender System Competition
- WWW 2013
- WebDemocracia
- Weevis
- Womrad
- Workshop on Context-awareness in Retrieval and Recommendation
- Xavier Amatriain
- Yelp Business Rating Prediction
- Yue Shi
- ZDF
- Zalando
- Zeno Gantner
- Òscar Celma
