List of recommender system dissertations

Recommender systems related dissertations by year.

Dissertation within a year are sorted alphabetically by title.

2013

• A conceptual model and a software framework for developing context aware hybrid recommender systems -Tim Hussein
• Evaluating the Accuracy and Utility of Recommender Systems - Alan Said
• Latent feature models for dyadic prediction - Aditya Krishna Menon
• Ranking and Context-awareness in Recommender Systems - Yue Shi
• Social contextuality and conversational recommender systems - Eoin Hurrell
• Understanding and supporting mobile application usage - Matthias Böhmer
• User Contrallability in a Hybrid Recommender System - Denis Parra

2012

• Design and User Perception Issues for Personality-Engaged Recommender Systems - Rong Hu
• Hybrid Tag Recommendation in Collaborative Tagging Systems - Marek Lipczak
• Interaction Methods for Large Scale Graph Visualization Systems --- Using Manipulation to Aid Discovery - Brynjar Gretarsson
• Leveraging Recommender Systems for the Creation and Maintenance of Structure within Collaborative Social Media Platforms - Eva Zangerle
• Leveraging Tagging Data for Recommender Systems - Fatih Gedikli
• More like this: machine learning approaches to music similarity - Brian McFee
• On some Challenges for Online Trust and Reputation Systems - Mozhgan Tavakolifard
• On the Use of Language Models and Topic Models in the Web: New Algorithms for Filtering, Classification, Ranking, and Recommendation - Ralf Krestel
• Performance prediction and evaluation in Recommender Systems: an Information Retrieval perspective - Alejandro Bellogin
• Personalized Recommendation Based on Collaborative Tagging Techniques for an E-learning System - Aleksandra Klašnja‐Milićević
• Recommender systems in industrial contexts - Frank Meyer
• Supervised Machine Learning Methods for Item Recommendation - Zeno Gantner
• Understanding Consistency of Recommender Systems: Behavioral and Algorithmic Perspectives - Jingjing Zhang

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
• Deployment of Recommender Systems: Operational and Strategic Issues - Abhijeet Ghoshal
• Effective and Efficient Collaborative Filtering - Yi Ding
• Formal Concept Analysis and Tag Recommendations in Collaborative Tagging Systems - Robert Jäschke
• Improved Trust-Aware Recommender System using Small-Worldness of Trust Networks - Weiwei Yuan
• Personalized Recommendation in Social Network Sites - Jilin Chen
• Predicting and using social tags to improve the accuracy and transparency of recommender systems - Sharon Givon
• Recognition and usage of emotive parameters in recommender systems - Marko Tkalčič
• Swarm intellilgence for clustering dynamic data sets for web usage mining and personalization - Esin Saka
• Trust-based automated recommendation making - Touhid Bhuiyan
• Using Data Mining for Facilitating User Contributions in the Social Semantic Web - Maryam Ramezani
• Visualization of music relational information sources for analysis, navigation, and discovery - Justin Donaldson

2010

• A Domain-Independent Framework for Intelligent Recommendations - Jörn David
• 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
• Personalised video retrieval: application of implicit feedback and semantic user profiles - Frank Hopfgartner
• Recommender Systeme für produktbegleitende Dienstleistungen - Margarethe Frohs
• Relational clustering models for knowledge discovery and recommender systems - Tao Li
• Trust networks for recommender systems - Patricia Victor
• User session and history modeling for collaborative visualization - Fanhai Yang

2009

• Eine offene Architektur für die agentenbasierte, adaptive, personalisierte Informationsfilterung (German) - Andreas Lommatzsch
• Explaining recommendations - Nava Tintarev
• Factorization-Based Large Scale Recommendation Algorithms - István Pilászy
• Nurturing Tagging Communities - Shilad Sen
• Recommender systems and market diversity - Daniel M. Fleder
• Recommender Systems for Social Bookmarking - Toine Bogers
• Towards Efficient Music Similarity Search, Ranking, and Recommendation - Maria Magdalena Ruxanda

2008

• Evaluating recommender systems : an evaluation framework to predict user satisfaction for recommender systems in an electronic programme guide context - Joost de Wit
• Exploiting the Conceptual Space in Hybrid Recommender Systems: a Semantic-based Approach - Iván Cantador
• Information Enrichment for Quality Recommender Systems - Li-Tung Weng
• 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
• Mining Influence in Recommender Systems - Al Mamunur Rashid
• Building Trustworthy Recommender Systems - Sheng Zhang

2006

• Designing social interactions with animated avatars and speech output for product recommendation agents in electronic commerce - Lingyun Qiu
• 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
• Hybrid recommendation techniques based on user profiles - Pasquale Lops
• Information Transmission and Recommender Systems - Deran Özmen
• 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
• The Impact of Internalization and Familiarity on Trust and Adoption of Recommendation Agents - Sherrie Komiak
• Toward a Personal Recommender System - Bradley N. Miller

2002

• Recommendation as classification and recommendation as matching: two information-centered approaches to recommendation - Chumki Basu

2001

• Dynamic Information Filtering - Patrick Baudisch
• MetaLens: A Framework for Multsource Recommendations - Ben Schafer
• 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
• Mendeley collection of Recommender System dissertations (based on this page)