Difference between revisions of "List of recommender system dissertations"
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− | [[Recommender systems]] related dissertations by year. | + | [[Recommender systems]] related '''''doctoral''''' dissertations by year. For other types of theses see: |
+ | * [[List of recommender systems master's theses]] | ||
+ | * [[List of recommender systems bachelor's theses]] | ||
Dissertation within a year are sorted alphabetically by title. | Dissertation within a year are sorted alphabetically by title. | ||
+ | |||
+ | == 2020s == | ||
+ | |||
+ | === 2022 === | ||
+ | * [https://iris.poliba.it/retrieve/handle/11589/232698/317066/Adversarial_Machine_Learning_in_Recommender_Systems.pdf Adversarial Machine Learning in Recommender Systems] - [[Felice Antonio Merra]] | ||
+ | |||
+ | === 2021 === | ||
+ | * [http://adrem.uantwerpen.be/bibrem/pubs/Jeunen2021PhDThesis.pdf Offline Approaches to Recommendation with Online Success] - [[Olivier Jeunen]] | ||
+ | |||
+ | * [https://andrebola.github.io/thesis_v_26_10_21.pdf Music Recommender Systems: Taking Into Account The Artists’ Perspective] - [[Andres Ferraro]] | ||
+ | |||
+ | === 2020 === | ||
+ | * [https://bia.unibz.it/bitstream/handle/10863/14081/Final_PHD.pdf?sequence=3 Ratings in Recommender Systems: Decision Biases and Explainability] - [[Ludovik Coba]] | ||
+ | |||
+ | |||
+ | == 2010-2019 == | ||
+ | === 2019 === | ||
+ | * [https://research.tue.nl/files/119737279/20190226_CO_Starke.pdf Supporting energy-efficient choices using Rasch-based recommender interfaces] - [[Alain Starke]] | ||
+ | |||
+ | === 2018 === | ||
+ | * [https://research.tue.nl/files/126497389/20180524_Graus.pdf From behavior-centered to user-centered : incorporating psychological knowledge and user feedback in personalization] - [[Mark Graus]] | ||
+ | |||
+ | === 2017 === | ||
+ | * [https://www.politesi.polimi.it/bitstream/10589/135782/1/thesis.pdf Algorithms for Sequence-aware Recommender Systems] - [[Massimo Quadrana]] | ||
+ | |||
+ | === 2016 === | ||
+ | * [https://www.jku.at/fileadmin/gruppen/173/Research/Ferwerda_Dissertation_final-komprimiert.pdf Improving the User Experience of Music Recommender Systems Through Personality and Cultural Information] - [[Bruce Ferwerda]] | ||
=== 2015 === | === 2015 === | ||
+ | * [http://yu.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000002052536 A Weighted User Similarity Model for Cold Start Recommendations] - [[Parivash Pirasteh]] | ||
+ | * [http://krex.k-state.edu/dspace/bitstream/handle/2097/19779/RohitParimi2015.pdf?sequence=6&isAllowed=y Collaborative Filtering Approaches for Single-domains and Cross-domain Recommender Systems] - [[Rohit Parimi]] | ||
* [http://ir.ii.uam.es/saul/saulvargas-thesis.pdf Novelty and Diversity Evaluation and Enhancement in Recommender Systems] - [[Saúl Vargas]] | * [http://ir.ii.uam.es/saul/saulvargas-thesis.pdf Novelty and Diversity Evaluation and Enhancement in Recommender Systems] - [[Saúl Vargas]] | ||
+ | * [http://docear.org/papers/Towards%20Effective%20Research-Paper%20Recommender%20Systems%20and%20User%20Modeling%20based%20on%20Mind%20Maps.pdf Towards Effective Research-Paper Recommender Systems and User Modeling based on Mind Maps] - Joeran Beel | ||
=== 2014 === | === 2014 === | ||
* [http://scholarlyrepository.miami.edu/cgi/viewcontent.cgi?article=2209&context=oa_dissertations A Model-Based Music Recommendation System for Individual Users and Implicit User Groups] - [[Yajie Hu]] | * [http://scholarlyrepository.miami.edu/cgi/viewcontent.cgi?article=2209&context=oa_dissertations A Model-Based Music Recommendation System for Individual Users and Implicit User Groups] - [[Yajie Hu]] | ||
+ | * [https://boa.unimib.it/retrieve/handle/10281/70560/104693/PhD_unimib_%20%09732150%20.pdf Advancing Recommender Systems from the Algorithm, Interface and Methodological Perspective] - [[Marco Rossetti]] | ||
* [http://infoscience.epfl.ch/record/199806 Aggregating Information from the Crowd: ratings, recommendations and predictions] - [[Florent Garcin]] | * [http://infoscience.epfl.ch/record/199806 Aggregating Information from the Crowd: ratings, recommendations and predictions] - [[Florent Garcin]] | ||
* [http://wanlab.poly.edu/xiwang/doc/thesis.pdf Collaborative Filtering Based Social Recommender Systems] - [[Xiwang Yang]] | * [http://wanlab.poly.edu/xiwang/doc/thesis.pdf Collaborative Filtering Based Social Recommender Systems] - [[Xiwang Yang]] | ||
Line 13: | Line 46: | ||
* [http://www.win.tue.nl/ipa/?event=cryptographically-enhanced-privacy-for-recommender-systems Cryptographically-Enhanced Privacy for Recommender Systems] - [[Arjan Jeckmans]] | * [http://www.win.tue.nl/ipa/?event=cryptographically-enhanced-privacy-for-recommender-systems Cryptographically-Enhanced Privacy for Recommender Systems] - [[Arjan Jeckmans]] | ||
* [http://conservancy.umn.edu/handle/11299/167084 Database management system support for collaborative filtering recommender systems] - [[Mohamed Sarwat]] | * [http://conservancy.umn.edu/handle/11299/167084 Database management system support for collaborative filtering recommender systems] - [[Mohamed Sarwat]] | ||
+ | * [https://www.researchgate.net/publication/292991578_Empirical_Evaluation_of_Active_Learning_Strategies_in_Collaborative_Filtering Empirical Evaluation of Active Learning Strategies in Collaborative Filtering] - [[Mehdi Elahi]] | ||
* [http://bit.ly/simonphd Dynamic Generation of Personalized Hybrid Recommender Systems] - [[Simon Dooms]] | * [http://bit.ly/simonphd Dynamic Generation of Personalized Hybrid Recommender Systems] - [[Simon Dooms]] | ||
* Enhancing Discovery in Geoportals: Geo-Enrichment, Semantic Enhancement and Recommendation Strategies for Geo-Information Discovery - [[Bernhard Vockner]] | * Enhancing Discovery in Geoportals: Geo-Enrichment, Semantic Enhancement and Recommendation Strategies for Geo-Information Discovery - [[Bernhard Vockner]] | ||
Line 20: | Line 54: | ||
* [http://repository.lib.ncsu.edu/ir/bitstream/1840.16/9727/1/etd.pdf More Usable Recommendation Systems for Improving Software Quality] - [[Yoonki Song]] | * [http://repository.lib.ncsu.edu/ir/bitstream/1840.16/9727/1/etd.pdf More Usable Recommendation Systems for Improving Software Quality] - [[Yoonki Song]] | ||
* [http://digitalcommons.fiu.edu/cgi/viewcontent.cgi?article=2550&context=etd Next Generation of Recommender Systems: Algorithms and Applications] - [[Lei Li]] | * [http://digitalcommons.fiu.edu/cgi/viewcontent.cgi?article=2550&context=etd Next Generation of Recommender Systems: Algorithms and Applications] - [[Lei Li]] | ||
+ | * [https://tel.archives-ouvertes.fr/tel-01135312/document Privacy-enabled scalable recommender systems] -[[Andrés Moreno]] | ||
* [http://ethesis.unifr.ch/theses/downloads.php?file=TeranL.pdf SmartParticipation: A Fuzzy-Based Recommender System for Political Community-Building] - [[Luis Fernando Terán Tamayo]] | * [http://ethesis.unifr.ch/theses/downloads.php?file=TeranL.pdf SmartParticipation: A Fuzzy-Based Recommender System for Political Community-Building] - [[Luis Fernando Terán Tamayo]] | ||
* [http://elehack.net/research/thesis/ Towards Recommender Engineering: Tools and Experiments for Identifying Recommender Differences] - [[Michael Ekstrand]] | * [http://elehack.net/research/thesis/ Towards Recommender Engineering: Tools and Experiments for Identifying Recommender Differences] - [[Michael Ekstrand]] | ||
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* [http://eprints.ucm.es/24533/ Estrategias de recomendación basadas en conocimiento para la localización personalizada de recursos en repositorios educativos] (Spanish) - [[Almudena Ruiz-Iniesta]] | * [http://eprints.ucm.es/24533/ Estrategias de recomendación basadas en conocimiento para la localización personalizada de recursos en repositorios educativos] (Spanish) - [[Almudena Ruiz-Iniesta]] | ||
* [http://opus4.kobv.de/opus4-tuberlin/frontdoor/index/index/docId/3681 Evaluating the Accuracy and Utility of Recommender Systems] - [[Alan Said]] | * [http://opus4.kobv.de/opus4-tuberlin/frontdoor/index/index/docId/3681 Evaluating the Accuracy and Utility of Recommender Systems] - [[Alan Said]] | ||
+ | * [http://julian-urbano.info/publications/061-evaluation-audio-music-similarity Evaluation in Audio Music Similarity] - [[Julián Urbano]] | ||
* [https://biblio.ugent.be/input/download?func=downloadFile&recordOId=4163727&fileOId=4163752 Improved online services by personalized recommendations and optimal quality of experience parameters] - [[Toon De Pessemier]] | * [https://biblio.ugent.be/input/download?func=downloadFile&recordOId=4163727&fileOId=4163752 Improved online services by personalized recommendations and optimal quality of experience parameters] - [[Toon De Pessemier]] | ||
* [http://hdl.handle.net/10059/859 Integrating Content and Semantic Representations for Music Recommendation] - [[Ben Horsburgh]] | * [http://hdl.handle.net/10059/859 Integrating Content and Semantic Representations for Music Recommendation] - [[Ben Horsburgh]] | ||
* [http://escholarship.org/uc/item/4xw874p5#page-1 Latent feature models for dyadic prediction] - [[Aditya Krishna Menon]] | * [http://escholarship.org/uc/item/4xw874p5#page-1 Latent feature models for dyadic prediction] - [[Aditya Krishna Menon]] | ||
+ | * [http://edok01.tib.uni-hannover.de/edoks/e01dh13/767033973.pdf Living Analytics Methods for the Social Web] - [[Ernesto Diaz-Aviles]] | ||
* [http://repository.tudelft.nl/assets/uuid:f7d3977e-f191-40d4-8f27-784a32902a55/thesis_yueshi.pdf Ranking and Context-awareness in Recommender Systems] - [[Yue Shi]] | * [http://repository.tudelft.nl/assets/uuid:f7d3977e-f191-40d4-8f27-784a32902a55/thesis_yueshi.pdf Ranking and Context-awareness in Recommender Systems] - [[Yue Shi]] | ||
* [https://repositorio.uam.es/bitstream/handle/10486/14091/66095_campos%20soto%20pedro%20g..pdf Recommender Systems and Time Context: Characterization of a Robust Evaluation Protocol to Increase Reliability of Measured Improvemenets] - [[Pedro Campos]] | * [https://repositorio.uam.es/bitstream/handle/10486/14091/66095_campos%20soto%20pedro%20g..pdf Recommender Systems and Time Context: Characterization of a Robust Evaluation Protocol to Increase Reliability of Measured Improvemenets] - [[Pedro Campos]] | ||
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* [http://gradworks.umi.com/34/70/3470158.html User session and history modeling for collaborative visualization] - [[Fanhai Yang]] | * [http://gradworks.umi.com/34/70/3470158.html User session and history modeling for collaborative visualization] - [[Fanhai Yang]] | ||
+ | == 2000-2009 == | ||
=== 2009 === | === 2009 === | ||
* [http://opus.kobv.de/tuberlin/volltexte/2009/2245/pdf/lommatzsch_andreas.pdf Eine offene Architektur für die agentenbasierte, adaptive, personalisierte Informationsfilterung] (German) - [[Andreas Lommatzsch]] | * [http://opus.kobv.de/tuberlin/volltexte/2009/2245/pdf/lommatzsch_andreas.pdf Eine offene Architektur für die agentenbasierte, adaptive, personalisierte Informationsfilterung] (German) - [[Andreas Lommatzsch]] | ||
Line 145: | Line 183: | ||
=== 2000 === | === 2000 === | ||
+ | |||
+ | == 1990s == | ||
=== 1999 === | === 1999 === |
Latest revision as of 18:44, 31 January 2022
Recommender systems related doctoral dissertations by year. For other types of theses see:
Dissertation within a year are sorted alphabetically by title.
Contents
2020s
2022
2021
2020
2010-2019
2019
2018
- From behavior-centered to user-centered : incorporating psychological knowledge and user feedback in personalization - Mark Graus
2017
2016
- Improving the User Experience of Music Recommender Systems Through Personality and Cultural Information - Bruce Ferwerda
2015
- A Weighted User Similarity Model for Cold Start Recommendations - Parivash Pirasteh
- Collaborative Filtering Approaches for Single-domains and Cross-domain Recommender Systems - Rohit Parimi
- Novelty and Diversity Evaluation and Enhancement in Recommender Systems - Saúl Vargas
- Towards Effective Research-Paper Recommender Systems and User Modeling based on Mind Maps - Joeran Beel
2014
- A Model-Based Music Recommendation System for Individual Users and Implicit User Groups - Yajie Hu
- Advancing Recommender Systems from the Algorithm, Interface and Methodological Perspective - Marco Rossetti
- Aggregating Information from the Crowd: ratings, recommendations and predictions - Florent Garcin
- Collaborative Filtering Based Social Recommender Systems - Xiwang Yang
- Cross-domain Recommendations based on semantically-enhanced User Web Behavior - Julia Hoxha
- Cryptographically-Enhanced Privacy for Recommender Systems - Arjan Jeckmans
- Database management system support for collaborative filtering recommender systems - Mohamed Sarwat
- Empirical Evaluation of Active Learning Strategies in Collaborative Filtering - Mehdi Elahi
- Dynamic Generation of Personalized Hybrid Recommender Systems - Simon Dooms
- Enhancing Discovery in Geoportals: Geo-Enrichment, Semantic Enhancement and Recommendation Strategies for Geo-Information Discovery - Bernhard Vockner
- Exploiting Distributional Semantics for Content-Based and Context-Aware Recommendation - Victor Codina
- Exploiting Implicit User Activity for Media Recommendation - Michele Trevisiol
- Information Aggregation in Quantized Consensus, Recommender Systems, and Ranking - Shang Shang
- More Usable Recommendation Systems for Improving Software Quality - Yoonki Song
- Next Generation of Recommender Systems: Algorithms and Applications - Lei Li
- Privacy-enabled scalable recommender systems -Andrés Moreno
- SmartParticipation: A Fuzzy-Based Recommender System for Political Community-Building - Luis Fernando Terán Tamayo
- Towards Recommender Engineering: Tools and Experiments for Identifying Recommender Differences - Michael Ekstrand
- User Factors in Recommender Systems: Case Studies in e-Commerce, News Recommending, and e-Learning - Juha Leino
2013
- A conceptual model and a software framework for developing context aware hybrid recommender systems - Tim Hussein
- Effective tag recommendation system based on topic ontology - V Subramaniyaswamy
- Estrategias de recomendación basadas en conocimiento para la localización personalizada de recursos en repositorios educativos (Spanish) - Almudena Ruiz-Iniesta
- Evaluating the Accuracy and Utility of Recommender Systems - Alan Said
- Evaluation in Audio Music Similarity - Julián Urbano
- Improved online services by personalized recommendations and optimal quality of experience parameters - Toon De Pessemier
- Integrating Content and Semantic Representations for Music Recommendation - Ben Horsburgh
- Latent feature models for dyadic prediction - Aditya Krishna Menon
- Living Analytics Methods for the Social Web - Ernesto Diaz-Aviles
- Ranking and Context-awareness in Recommender Systems - Yue Shi
- Recommender Systems and Time Context: Characterization of a Robust Evaluation Protocol to Increase Reliability of Measured Improvemenets - Pedro Campos
- Session Aware Recommender System in E-Commerce - Jian Wang
- Social contextuality and conversational recommender systems - Eoin Hurrell
- Trace-Based Reasoning for User Assistance and Recommendations - Raafat Zarka
- Trust-Based User Profiling - Nima Dokoohaki
- 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
- Enhanced Vector Space Models for Content-based Recommender Systems - Cataldo Musto
- 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
- Integrating collaborative filtering and matching-based search for product recommendation - Noraswaliza Abdullah
- 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
- Effective Fusion-based Approaches for Recommender Systems - Xin Xin
- 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
- User profiling based on folksonomy information in Web 2.0 for personalized recommender systems - Huizhi Liang
- 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 Systems for Social Tagging Systems - Leandro Balby Marinho
- 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
2000-2009
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
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
- 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
2000
1990s
1999
1998
1997
- Recommender Systems for Problem Solving Environments - Naren Ramakrishnan