List of recommender system dissertations

Recommender systems related dissertations by year.

Dissertation within a year are sorted alphabetically by title.

2012

• Supervised Machine Learning Methods for Item Recommendation - Zeno Gantner
• Design and User Perception Issues for Personality-Engaged Recommender Systems - Rong Hu
• More like this: machine learning approaches to music similarity - Brian McFee

2011

• Bayesian Recommender Systems: Models and Algorithms - Shengbo Guo
• Context-Aware Collaborative Filtering Recommender Systems - Linas Baltrunas
• Contextualize Your Listening: The Playlist as Recommendation Engine - Ben Fields
• Formal Concept Analysis and Tag Recommendations in Collaborative Tagging Systems - Robert Jäschke
• Recognition and usage of emotive parameters in recommender systems - Marko Tkalčič
• Using Data Mining for Facilitating User Contributions in the Social Semantic Web - Maryam Ramezani

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
• Methods and Applications for Ontology-based Recommender Systems - Tuukka Ruotsalo
• Trust networks for recommender systems - Patricia Victor

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
• Information-seeking on the Web with Trusted Social Networks – from Theory to Systems - Tom Heath
• Missing Data Problems in Machine Learning - Benjamin Marlin
• Music Recommendation and Discovery in the Long Tail - Òscar Celma
• Recommender System based on Personality Traits - Maria Augusta Silveira Netto Nunes
• Studies on Hybrid Music Recommendation Using Timbral and Rhythmic Features - Kazuyoshi Yoshii
• Towards Metadata-aware Algorithms for Recommender Systems - Karen H. L. Tso-Sutter
• User Decision Improvement and Trust Building in Product Recommender Systems - Li Chen

2007

• Bayesian Inference for Latent Variable Models - Ulrich Paquet
• Building Trustworthy Recommender Systems - Sheng Zhang

2006

• Meeting User Information Needs in Recommender Systems - Sean McNee

2005

• A Market-Based Approach to Recommender Systems - Yan Zheng Wei
• Explanet: a learning tool and hybrid recommender system for student-authored explanations - Jessica Masters
• Supporting People In Finding Information: Hybrid Recommender Systems and Goal-Based Structuring - Mark van Setten
• Towards Decentralized Recommender Systems - Cai-Nicolas Ziegler
• Use of Discrete Choice Models with Recommender Systems - Bassam H. Chaptini

2003

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

2001

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

1997

• Recommender Systems for Problem Solving Environments - Naren Ramakrishnan

External links

• PhD Theses and Doctoral Dissertations Related to Music Information Retrieval