List of recommender system dissertations

Recommender systems-related dissertations by year.

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

• 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

2008

• Music Recommendation and Discovery in the Long Tail - Òscar Celma
• Missing Data Problems in Machine Learning - Benjamin Marlin
• Information-seeking on the Web with Trusted Social Networks – from Theory to Systems - Tom Heath
• User Decision Improvement and Trust Building in Product Recommender Systems - Li Chen
• Exploiting the Conceptual Space in Hybrid Recommender Systems: a Semantic-based Approach - Iván Cantador

2007

• Building Trustworthy Recommender Systems - Sheng Zhang

2006

• Meeting User Information Needs in Recommender Systems - Sean McNee

2005

• Towards Decentralized Recommender Systems - Cai-Nicolas Ziegler

2003

• Toward a Personal Recommender System - Bradley N. Miller
• Collaborative recommender agents based on case-based reasoning and trust - Miquel Montaner

2001

• Dynamic Information Filtering - Patrick Baudisch
• Sparsity, scalability, and distribution in recommender systems - Badrul Munir Sarwar