Difference between revisions of "List of recommender system dissertations"
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* [http://gradworks.umi.com/35/05/3505275.html Interaction Methods for Large Scale Graph Visualization Systems --- Using Manipulation to Aid Discovery] - [[Brynjar Gretarsson]] | * [http://gradworks.umi.com/35/05/3505275.html Interaction Methods for Large Scale Graph Visualization Systems --- Using Manipulation to Aid Discovery] - [[Brynjar Gretarsson]] | ||
* [http://cseweb.ucsd.edu/~bmcfee/papers/bmcfee_dissertation.pdf More like this: machine learning approaches to music similarity] - [[Brian McFee]] | * [http://cseweb.ucsd.edu/~bmcfee/papers/bmcfee_dissertation.pdf More like this: machine learning approaches to music similarity] - [[Brian McFee]] | ||
| + | * [http://ir.ii.uam.es/~alejandro/thesis/thesis-bellogin.pdf Performance prediction and evaluation in Recommender Systems: an Information Retrieval perspective] - [[Alejandro Bellogin]] | ||
* [http://arxiv.org/pdf/1203.4487v2 Recommender systems in industrial contexts] - [[Frank Meyer]] | * [http://arxiv.org/pdf/1203.4487v2 Recommender systems in industrial contexts] - [[Frank Meyer]] | ||
* [http://opus.bsz-bw.de/ubhi/volltexte/2012/167/pdf/item_recommendation.pdf Supervised Machine Learning Methods for Item Recommendation] - [[Zeno Gantner]] | * [http://opus.bsz-bw.de/ubhi/volltexte/2012/167/pdf/item_recommendation.pdf Supervised Machine Learning Methods for Item Recommendation] - [[Zeno Gantner]] | ||
Revision as of 05:30, 4 December 2012
Recommender systems related dissertations by year.
Dissertation within a year are sorted alphabetically by title.
Contents
2012
- Design and User Perception Issues for Personality-Engaged Recommender Systems - Rong Hu
- Interaction Methods for Large Scale Graph Visualization Systems --- Using Manipulation to Aid Discovery - Brynjar Gretarsson
- More like this: machine learning approaches to music similarity - Brian McFee
- Performance prediction and evaluation in Recommender Systems: an Information Retrieval perspective - Alejandro Bellogin
- 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
- 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
- Explaining recommendations - Nava Tintarev
- Factorization-Based Large Scale Recommendation Algorithms - István Pilászy
- 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
- 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
- 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
2004
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
2001
- Dynamic Information Filtering - Patrick Baudisch
- Sparsity, scalability, and distribution in recommender systems - Badrul Munir Sarwar
2000
1999
1998
1997
- Recommender Systems for Problem Solving Environments - Naren Ramakrishnan
