List of recommender system dissertations
Jump to navigation
Jump to search
Recommender systems-related dissertations by year.
Contents
2011
- Context-Aware Collaborative Filtering Recommender Systems - Linas Baltrunas
- Formal Concept Analysis and Tag Recommendations in Collaborative Tagging Systems - Robert Jäschke
- Contextualize Your Listening: The Playlist as Recommendation Engine - Ben Fields
- Bayesian Recommender Systems: Models and Algorithms - Shengbo Guo
2010
- Content-Based Music Recommender Systems: Beyond simple Frame-Level Audio Similarity - Klaus Seyerlehner
- Context-Aware Ranking with Factorization Models - Steffen Rendle
- Evaluating Collaborative Filtering Over Time - Neal Lathia
- Graph-Based Recommendation in Broad Folksonomies - Robert Wetzker
2009
- Explaining recommendations - Nava Tintarev
- Factorization-Based Large Scale Recommendation Algorithms - István Pilászy
- Recommender Systems for Social Bookmarking - Toine Bogers
- Towards Efficient Music Similarity Search, Ranking, and Recommendation - Maria Magdalena Ruxanda
2008
- Exploiting the Conceptual Space in Hybrid Recommender Systems: a Semantic-based Approach - Iván Cantador
- Missing Data Problems in Machine Learning - Benjamin Marlin
- Music Recommendation and Discovery in the Long Tail - Òscar Celma
- Information-seeking on the Web with Trusted Social Networks – from Theory to Systems - Tom Heath
- Studies on Hybrid Music Recommendation Using Timbral and Rhythmic Features - Kazuyoshi Yoshii
- User Decision Improvement and Trust Building in Product Recommender Systems - Li Chen
2007
2006
2005
- Supporting People In Finding Information: Hybrid Recommender Systems and Goal-Based Structuring - Mark van Setten
- Towards Decentralized Recommender Systems - Cai-Nicolas Ziegler
2004
2003
- Toward a Personal Recommender System - Bradley N. Miller
- Collaborative recommender agents based on case-based reasoning and trust - Miquel Montaner
2002
2001
- Dynamic Information Filtering - Patrick Baudisch
- Sparsity, scalability, and distribution in recommender systems - Badrul Munir Sarwar
