RecSysWiki - User contributions [en]

List of RecSys-relevant Conferences

2013-03-09T17:26:55Z

Abellogin:

Looking for a place to publish your recommender system work?

'''Interests:'''

Web Personalisation, Recommender/Reputation Systems, User Modeling, Decision Support Systems, Artificial Intelligence, Data Mining, Data Clustering, Data Management, Scalability, Web 2.0, Social Network Analysis

'''Note:'''

The external links to these conferences often change (annually).

== Conferences ==
* [http://www.recsys.acm.org] [[ACM RecSys]]
* [http://datamining.it.uts.edu.au/conferences/wi08/] ACM/IEEE Web Intelligence
* [http://www.aaai.org/Conferences/conferences.php] AAAI Conferences on Artificial Intelligence
* [http://www.ijcai.org/] IJCAI International Joint Conference on Artificial Intelligence
* [http://www.sigkdd.org/kdd2008/] ACM KDD Knowledge Discovery and Data Mining
* [http://www.sigir.org/events/events-upcoming.html] ACM SIGIR Information Retrieval Events
* [http://icdm08.isti.cnr.it/] IEEE Conference on Data Mining
* [http://wsdm2009.org/] ACM WSDM Web Search and Data Mining
* [http://www2009.org/] WWW International World Wide Web Conference
* [http://www.iuiconf.org/] IUI International Conference on Intelligent User Interfaces
* [http://www.enews.ece.uvic.ca/conf/MAW09/] IEEE MAW Symposium on Mining and Web
* [http://www.trustcomp.org/treck/] ACM SAC TRECK Trust, Reputation, Evidence and other Collaboration Know-how (ACM Syposium on Applied Computing)
* [http://www.dirf.org/diwt2009/] ICADIWT Applications of Digital Information and Web Technologies
* [http://www.sigecom.org/ec09/] ACM EC: Electronic Commerce
* [http://www.cikm2008.org/index.php] ACM Conference on Information and Knowledge Management
* [http://www.ht2009.org/] ACM SIGWEB Hypertext & Hypermedia
* [http://www.dexa.org/ecweb2011] Electronic Commerce and Web Technologies (EC-Web)
* [http://www.dia.uniroma3.it/~umap2013/] User Modelling, Personalisation, and Adaptation (UMAP)
* [http://www.cikm2011.org] ACM Conference on Information and Knowledge Management (CIKM)
* [http://ecir2012.upf.edu/] European Conference on Information Retrieval (ECIR)

== Journals ==
* ACM TOIS
* ACM TWEB
* ACM TIST
* [http://www.computer.org/portal/web/tkde/] IEEE Transactions on Knowledge and Data Engineering (TKDE)
* [http://www.springer.com/computer/database+management+&+information+retrieval/journal/11280] Spring World Wide Web Journal

== Past Workshops ==
* At [http://recsys.acm.org/2010/ ACM RecSys 2010]
** [http://ir.ii.uam.es/prsat2010] Practical Use of Recommender Systems, Algorithms, & Technology
** [http://ir.ii.uam.es/hetrec2010] International Workshop on Information Heterogeneity and Fusion in Recommender Systems
** [http://adenu.ia.uned.es/workshops/recsystel2010/] Workshop on Recommender Systems for Technology Enhanced Learning
** [http://www.dcs.warwick.ac.uk/~ssanand/RSWEb.htm] 2nd Workshop on Recommender Systems and the Social Web
** [http://womrad.org/] Workshop on Music Recommendation and Discovery (WOMRAD)
** [http://ucersti.ieis.tue.nl/] User-Centric Evaluation of Recommender Systems and Their Interfaces
** [http://ids.csom.umn.edu/faculty/gedas/cars2010/] [http://www.dai-labor.de/camra2010/] 2nd Workshop on Context-Aware Recommender Systems & Challenge on Context-Aware Movie Recommendation
* [http://maya.cs.depaul.edu/~mobasher/itwp08/] Workshop on Intelligent Techniques for Web Personalization & Recommender Systems @ AAAI 2008
* [http://proserver3-iwas.uni-klu.ac.at/ECAI08-Recommender-Workshop/] Workshop on Recommender Systems @ ECAI 2008
* [http://netflixkddworkshop2008.info/] Workshop on Large-Scale Recommender Systems and the [[Netflix Prize]] Competition @ KDD 2008
* [http://userpages.uni-koblenz.de/~openconf/recoll/] International Workshop on Recommendation and Collaboration @ IUI 2008
* [http://www.dirf.org/diwt2008/workshop2.asp] First International Workshop on Recommender Systems and Personalized Retrieval @ ICADIWT 2008
* [http://widm2008.comp.nus.edu.sg/] International Workshop on Web Information and Data Management (WIDM)
* [http://ls13-www.cs.uni-dortmund.de/homepage/itwp2011] 9th Workshop on Intelligent Techniques for Web Personalisation (ITWP'11)

== Past Journal Special Editions/Book Chapters ==
* [http://tweb.acm.org/RecSysSpecialIssue.html] ACM TWEB Special Edition on Recommender Systems on the Web
* [http://www.springer.com/computer/ai/book/978-0-387-85819-7] Springer Recommender Systems Handbook
* [http://www.igi-global.com/reference/details.asp?ID=33031&v=tableOfContents] Collaborative and Social Information Retrieval and Access: Techniques for Improved User Modeling

[[Category: Event| ]]
[[Category: List|Conference]]

UMAP 2013

2013-03-09T17:26:08Z

Abellogin:

The '''21st Conference on User Modeling, Adaptation and Personalization''' ('''UMAP 2013''') will be held from June 10 to June 14 in Rome, Italy.
[[Recommender systems]] are explicitly mentioned in the [http://www.dia.uniroma3.it/~umap2013/?page_id=84 call for papers], both as an application domain and as purpose.

== External links ==
* http://www.dia.uniroma3.it/~umap2013/
* http://www.dia.uniroma3.it/~umap2013/?page_id=65

[[Category: Conference]]
[[Category: Event]]

== Papers ==

A list of papers that mention Recommender Systems / Collaborative Filtering / Personalization in their title:

* A Framework for Trust-based Multidisciplinary Team Recommendation. Lorenzo Bossi, Stefano Braghin, Anwitaman Datta and Alberto Trombetta.

* Combining Collaborative Filtering and Semantic Similarity for Expertise Recommendations in Social Websites. Alexandre Spaeth and Michel C. Desmarais.

* Cross-Domain Recommendation in a Cold-Start Context: The impact of User Profile Size on the Quality of Recommendation. Shaghayegh Sahebi and Peter Brusilovsky.

* Exploiting the Semantic Similarity of Contextual Situations for Pre-Filtering Recommendations. Victor Codina, Francesco Ricci and Luigi Ceccaroni.

* Interaction Based Content Recommendation in Online Communities. Surya Nepal, Cecile Paris, Payam Aghaei Pour, Jill Freyne and Sanat Kumar Bista.

* Opinion-Driven Matrix Factorization for Rating Prediction. Stefan Pero and Tomas Horvath.

* Personalized Access to Scientific Publications: From Recommendation to Explanation. Dario De Nart, Felice Ferrara and Carlo Tasso.

* Predicting Users’ Preference from Tag Relevance. Tien Nguyen and John Riedl.

* Recommendation for New Users with Partial Preferences via Incorporating Product Reviews. Feng Wang, Weike Pan and Li Chen.

* Recommendation with Differential Context Weighting. Yong Zheng, Robin Burke and Bamshad Mobasher.

* Recommending Topics for Web Curation. Zurina Saaya, Markus Schaal, Rachael Rafter and Barry Smyth.

* Scrutable User Models and Personalised Item Recommendation in Mobile Lifestyle Applications. Rainer Wasinger, James Wallbank, Luiz Pizzato, Judy Kay, Bob Kummerfeld, Matthias Böhmer and Antonio Krüger.

* What Recommenders Recommend — An Analysis of Accuracy, Popularity, and Sales Diversity Effects. Dietmar Jannach, Lukas Lerche, Fatih Gedikli and Geoffray Bonnin.

* [Workshop] [http://empire2013.wordpress.com/ EMPIRE] Emotions and Personality in Personalized Services (EMPIRE) (Marko Tkalčič, Nadja De Carolis, Marco de Gemmis, Ante Odid, Andrej Košir)

* [Workshop] [http://cmlab.net/events/umap13grouprs/ GroupRS] Group Recommender Systems: Concepts, Technology, Evaluation (Tom Gross, Judith Masthoff, Christoph Beckmann)

* [Workshop] [http://adenu.ia.uned.es/workshops/pale2013/ PALE] Personalization Approaches in Learning Environments (Milos Kravcik, Olga C. Santos, Jesus G. Boticario, Diana Pérez-Marín)

* [Workshop] [http://pegov.disco.unimib.it/ PEGOV] Personalization in eGovernment Services and Applications (Nikos Loutas, Fedelucio Narducci, Matteo Palmonari, Cécile Paris)

* [Workshop] [http://trust.sce.ntu.edu.sg/trum13/ TRUM] Trust, Reputation and User Modeling (Surya Nepal, Julita Vassileva, Cécile Paris, Jie Zhang)

UMAP 2013

2013-03-09T17:21:07Z

Abellogin:

UMAP 2013

2013-03-09T17:20:47Z

Abellogin: Created page with "The '''21st Conference on User Modeling, Adaptation and Personalization''' ('''UMAP 2013''') will be held from June 10 to June 14 in Rome, Italy. Recommender systems are e..."

The '''21st Conference on User Modeling, Adaptation and Personalization''' ('''UMAP 2013''') will be held from June 10 to June 14 in Rome, Italy.
[[Recommender systems]] are explicitly mentioned in the [http://www.dia.uniroma3.it/~umap2013/?page_id=84 call for papers], both as an application domain and as purpose.

== External links ==
* http://www.dia.uniroma3.it/~umap2013/
* http://www.dia.uniroma3.it/~umap2013/?page_id=65

[[Category: Conference]]
[[Category: Event]]

== Papers ==

A list of papers that mention Recommender Systems / Collaborative Filtering / Personalization in their title:

* A Framework for Trust-based Multidisciplinary Team Recommendation. Lorenzo Bossi, Stefano Braghin, Anwitaman Datta and Alberto Trombetta.

* Combining Collaborative Filtering and Semantic Similarity for Expertise Recommendations in Social Websites. Alexandre Spaeth and Michel C. Desmarais.

* Cross-Domain Recommendation in a Cold-Start Context: The impact of User Profile Size on the Quality of Recommendation. Shaghayegh Sahebi and Peter Brusilovsky.

* Exploiting the Semantic Similarity of Contextual Situations for Pre-Filtering Recommendations. Victor Codina, Francesco Ricci and Luigi Ceccaroni.

* Interaction Based Content Recommendation in Online Communities. Surya Nepal, Cecile Paris, Payam Aghaei Pour, Jill Freyne and Sanat Kumar Bista.
Learning Likely Locations. John Krumm, Rich Caruana and Scott Counts.

* Opinion-Driven Matrix Factorization for Rating Prediction. Stefan Pero and Tomas Horvath.

* Personalized Access to Scientific Publications: From Recommendation to Explanation. Dario De Nart, Felice Ferrara and Carlo Tasso.

* Predicting Users’ Preference from Tag Relevance. Tien Nguyen and John Riedl.

* Recommendation for New Users with Partial Preferences via Incorporating Product Reviews. Feng Wang, Weike Pan and Li Chen.

* Recommendation with Differential Context Weighting. Yong Zheng, Robin Burke and Bamshad Mobasher.

* Recommending Topics for Web Curation. Zurina Saaya, Markus Schaal, Rachael Rafter and Barry Smyth.

* Scrutable User Models and Personalised Item Recommendation in Mobile Lifestyle Applications. Rainer Wasinger, James Wallbank, Luiz Pizzato, Judy Kay, Bob Kummerfeld, Matthias Böhmer and Antonio Krüger.

* What Recommenders Recommend — An Analysis of Accuracy, Popularity, and Sales Diversity Effects. Dietmar Jannach, Lukas Lerche, Fatih Gedikli and Geoffray Bonnin.

WWW 2013

2013-02-19T14:43:43Z

Abellogin:

The '''22nd International World Wide Web Conference''' ('''WWW 2013''') will be held from May 13 to May 17 in Rio de Janeiro, Brazil.
[[Recommender systems]] are explicitly mentioned in the call for papers of different tracks: [http://www2013.org/authors/research-track/social-networks-and-graph-analysis/ Social Networks and Graph Analysis], [http://www2013.org/authors/research-track/behavioral-analysis-and-personalization/ Behavioral Analysis and Personalization], [http://www2013.org/authors/research-track/web-mining/ Web Mining].

== External links ==
* http://www2013.org/
* http://www2013.org/authors/

[[Category: Conference]]
[[Category: Event]]

== Papers ==

A list of papers that mention Recommender Systems / Collaborative Filtering / Personalization in their title:

* DIGTOBI: A Recommendation System for Digg Articles using Probabilistic Modeling. Younghoon Kim, Yoonjae Park and Kyuseok Shim.

* Diversified Recommendation on Graphs: Pitfalls, Measures, and Algorithms. Onur Kucuktunc, Erik Saule, Kamer Kaya and Umit V. Catalyurek.

* Do Social Explanations Work? – Studying and Modeling the Effects of Social Explanations in Recommender Systems. Amit Sharma and Dan Cosley.

* From Amateurs to Connoisseurs: Modeling the Evolution of User Expertise through Online Reviews. Julian McAuley and Jure Leskovec.

* HeteroMF: Recommendation in Heterogeneous Information Networks using Context Dependent Factor Models. Mohsen Jamali and Laks Lakshmanan.

* Know Your Personalization: Learning Topic-Level Personalization in Online Services. A Majumder and Nisheeth Shrivastava.

* Localized Matrix Factorization for Recommendation based on Matrix Block Diagonal Forms. Yongfeng Zhang, Min Zhang, Yiqun Liu, Shaoping Ma and Shi Feng.

* Measuring Personalization of Web Search. Aniko Hannak, Piotr Sapiezynski, Arash Molavi Kakhki, Balachander Krishnamurthy, David Lazer, Alan Mislove and Christo Wilson.

* Multi-Label Learning with Millions of Labels: Recommending Advertiser Bid Phrases for Web Pages. Rahul Agrawal, Archit Gupta, Yashoteja Prabhu and Manik Varma.

* One-class Collaborative Filtering with Random Graphs. Ulrich Paquet and Noam Koenigstein.

* Personalized Recommendation via Cross-Domain Triadic Factorization. Liang Hu, Jian Cao, Guandong Xu, Longbing Cao, Zhiping Gu and Can Zhu.

* Predicting Positive and Negative Links in Signed Social Networks by Transfer Learning. Jihang Ye, Hong Cheng, Zhe Zhu and Minghua Chen.

* Probabilistic Group Recommendation via Information Matching. Jagadeesh Gorla, Neal Lathia, Stephen Robertson and Jun Wang.

* TopRec: Domain-Specific Recommendation through Community Topic Mining in Social Network. Xi Zhang, Jian Cheng, Ting Yuan, Biao Niu and Hanqing Lu.

* What Is the Added Value of Negative Links in Online Social Networks? Jérôme Kunegis, Julia Preusse and Felix Schwagereit.

* When Relevance is not Enough: Promoting Diversity and Freshness in Personalized Question Recommendation. Idan Szpektor, Yoelle Maarek and Dan Pelleg.

* SoCo: A Social Network Aided Context-Aware Recommender System. Xin Liu and Karl Aberer.

* [Workshop] [http://eric.univ-lyon2.fr/msnd/ MSND2013] The 2nd International Workshop on Mining Social Network Dynamics (MSND) (Hakim Hacid, Shengbo Guo and Athena Vakali)

* [Workshop] [http://www.ramss.ws/2013/ RAMSS2013] 2nd International Workshop on Real-Time Analysis and Mining (Arkaitz Zubiaga, Damiano Spina, Maarten de Rijke and Markus Strohmaier)

* [Workshop] [http://cslinux0.comp.hkbu.edu.hk/~fwang/srs2013/ SRS2013] 4th International Conference on Social Recommender Systems (Ido Guy, Li Chen and Michelle Zhou)

* [Workshop] [http://wic.litislab.fr/ WiC2013] WWW Workshop on Web Intelligence and Communities (Rajendra Akerkar, Pierre Maret and Laurent Vercouter)

WWW 2013

2013-02-19T14:33:28Z

Abellogin:

WWW 2013

2013-02-19T14:31:23Z

Abellogin: Created page with "The '''22nd International World Wide Web Conference''' ('''WWW 2013''') will be held from May 13 to May 17 in Rio de Janeiro, Brazil. Recommender systems are explicitly me..."

List of recommender system dissertations

2012-12-04T10:30:58Z

Abellogin: /* 2012 */

[[Recommender systems]] related dissertations by year.

Dissertation within a year are sorted alphabetically by title.

=== 2012 ===
* [http://library.epfl.ch/en/theses/?nr=5318 Design and User Perception Issues for Personality-Engaged Recommender Systems] - [[Rong Hu]]
* [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://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://opus.bsz-bw.de/ubhi/volltexte/2012/167/pdf/item_recommendation.pdf Supervised Machine Learning Methods for Item Recommendation] - [[Zeno Gantner]]
* [http://gradworks.umi.com/35/23/3523081.html Understanding Consistency of Recommender Systems: Behavioral and Algorithmic Perspectives] - [[Jingjing Zhang]]

=== 2011 ===
* [http://users.cecs.anu.edu.au/~sguo/thesis.pdf Bayesian Recommender Systems: Models and Algorithms] - [[Shengbo Guo]]
* [http://www.inf.unibz.it/~lbaltrunas/doc/linas_phd_thesis.pdf Context-Aware Collaborative Filtering Recommender Systems] - [[Linas Baltrunas]]
* [http://benfields.net/bfields_thesis.pdf Contextualize Your Listening: The Playlist as Recommendation Engine] - [[Ben Fields]]
* [http://www.eric.ed.gov/ERICWebPortal/search/detailmini.jsp?_nfpb=true&_&ERICExtSearch_SearchValue_0=ED534217&ERICExtSearch_SearchType_0=no&accno=ED534217 Deployment of Recommender Systems: Operational and Strategic Issues] - [[Abhijeet Ghoshal]]
* [http://espace.library.uq.edu.au/view/UQ:263213 Effective and Efficient Collaborative Filtering] - [[Yi Ding]]
* [http://www.aka-verlag.com/de/detail?ean=978-3-89838-332-5 Formal Concept Analysis and Tag Recommendations in Collaborative Tagging Systems] - [[Robert Jäschke]]
* [http://uclab.khu.ac.kr/resources/thesis/PhD_Thesis_Weiwei.pdf Improved Trust-Aware Recommender System using Small-Worldness of Trust Networks] - [[Weiwei Yuan]]
* [http://lac-repo-live7.is.ed.ac.uk/bitstream/1842/5770/1/Givon2011.pdf Predicting and using social tags to improve the accuracy and transparency of recommender systems] - [[Sharon Givon]]
* [http://slavnik.fe.uni-lj.si/markot/uploads/Main/2010_tkalcic_phd.pdf Recognition and usage of emotive parameters in recommender systems] - [[Marko Tkalčič]]
* [http://gradworks.umi.com/34/79/3479962.html Swarm intellilgence for clustering dynamic data sets for web usage mining and personalization] - [[Esin Saka]]
* [http://eprints.qut.edu.au/49168/1/Touhid_Bhuiyan_Thesis.pdf Trust-based automated recommendation making] - [[Touhid Bhuiyan]]
* [http://digbib.ubka.uni-karlsruhe.de/volltexte/documents/1687272 Using Data Mining for Facilitating User Contributions in the Social Semantic Web] - [[Maryam Ramezani]]
* [http://gradworks.umi.com/34/49/3449549.html Visualization of music relational information sources for analysis, navigation, and discovery] - [[Justin Donaldson]]

=== 2010 ===
* [http://www.amazon.com/Domain-Independent-Framework-Intelligent-Recommendations-Application/dp/3838113756 A Domain-Independent Framework for Intelligent Recommendations] - [[Jörn David]]
* [http://www.cp.jku.at/people/seyerlehner/supervised/seyerlehner_phd.pdf Content-Based Music Recommender Systems: Beyond simple Frame-Level Audio Similarity] - [[Klaus Seyerlehner]]
* [http://www.springer.com/engineering/computational+intelligence+and+complexity/book/978-3-642-16897-0 Context-Aware Ranking with Factorization Models] - [[Steffen Rendle]]
* [http://www.cs.ucl.ac.uk/staff/n.lathia/thesis.html Evaluating Collaborative Filtering Over Time] - [[Neal Lathia]]
* [http://opus.kobv.de/tuberlin/volltexte/2010/2695/pdf/wetzker_robert.pdf Graph-Based Recommendation in Broad Folksonomies] - [[Robert Wetzker]]
* [http://lib.tkk.fi/Diss/2010/isbn9789526031514/isbn9789526031514.pdf Methods and Applications for Ontology-based Recommender Systems] - [[Tuukka Ruotsalo]]
* [http://theses.gla.ac.uk/2132/01/2010hopfgartner1phd.pdf Personalised video retrieval: application of implicit feedback and semantic user profiles] - [[Frank Hopfgartner]]
* [http://www.verlagdrkovac.de/3-8300-5081-X.htm Recommender Systeme für produktbegleitende Dienstleistungen] - [[Margarethe Frohs]]
* [http://wrap.warwick.ac.uk/3759/1/WRAP_THESIS_Li_2010.pdf Relational clustering models for knowledge discovery and recommender systems] - [[Tao Li]]
* [https://biblio.ugent.be/publication/986279/file/1886805.pdf Trust networks for recommender systems] - [[Patricia Victor]]
* [http://gradworks.umi.com/34/70/3470158.html User session and history modeling for collaborative visualization] - [[Fanhai Yang]]

=== 2009 ===
* [http://www.abdn.ac.uk/~csc284/Nava%20Tintarev_PhD_Thesis_%282010%29.pdf Explaining recommendations] - [[Nava Tintarev]]
* [http://www.omikk.bme.hu/collections/phd/Villamosmernoki_es_Informatikai_Kar/2010/Pilaszy_Istvan/ertekezes.pdf Factorization-Based Large Scale Recommendation Algorithms] - [[István Pilászy]]
* [http://repository.upenn.edu/dissertations/AAI3363295/ Recommender systems and market diversity] - [[Daniel M. Fleder]]
* [http://itlab.dbit.dk/~toine/?page_id=6 Recommender Systems for Social Bookmarking] - [[Toine Bogers]]
* [http://svn.egovmon.no/svn/phdgoodwin/thesis/referenceexample/MMR_thesis_afterDefense.pdf Towards Efficient Music Similarity Search, Ranking, and Recommendation] - [[Maria Magdalena Ruxanda]]

=== 2008 ===
* [http://arantxa.ii.uam.es/~cantador/doc/2008/thesis08.zip Exploiting the Conceptual Space in Hybrid Recommender Systems: a Semantic-based Approach] - [[Iván Cantador]]
* [http://eprints.qut.edu.au/29165/2/Li-Tung_Weng_Thesis.pdf Information Enrichment for Quality Recommender Systems] - [[Li-Tung Weng]]
* [http://tomheath.com/thesis/html Information-seeking on the Web with Trusted Social Networks – from Theory to Systems] - [[Tom Heath]]
* [http://www.cs.umass.edu/~marlin/research/phd_thesis/marlin-phd-thesis.pdf Missing Data Problems in Machine Learning] - [[Benjamin Marlin]]
* [http://mtg.upf.edu/node/1217 Music Recommendation and Discovery in the Long Tail] - [[Òscar Celma]]
* [http://hal.inria.fr/docs/00/34/83/70/PDF/TeseFinal.pdf Recommender System based on Personality Traits] - [[Maria Augusta Silveira Netto Nunes]]
* [http://winnie.kuis.kyoto-u.ac.jp/members/yoshii/d-thesis-yoshii.pdf Studies on Hybrid Music Recommendation Using Timbral and Rhythmic Features] - [[Kazuyoshi Yoshii]]
* Towards Metadata-aware Algorithms for Recommender Systems - [[Karen H. L. Tso-Sutter]]
* [http://hci.epfl.ch/members/lichen/EPFL_TH4140.pdf User Decision Improvement and Trust Building in Product Recommender Systems] - [[Li Chen]]

=== 2007 ===
* [http://www.ulrichpaquet.com/Papers/PhDThesis.pdf Bayesian Inference for Latent Variable Models] - [[Ulrich Paquet]]
* [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.91.2714&rep=rep1&type=pdf Building Trustworthy Recommender Systems] - [[Sheng Zhang]]

=== 2006 ===
* [http://dl.acm.org/citation.cfm?id=1269509 Designing social interactions with animated avatars and speech output for product recommendation agents in electronic commerce] - [[Lingyun Qiu]]
* [http://www-users.cs.umn.edu/~mcnee/mcnee-thesis-preprint.pdf Meeting User Information Needs in Recommender Systems] - [[Sean McNee]]

=== 2005 ===
* [http://eprints.ecs.soton.ac.uk/10692/1/wei-phd-thesis.pdf A Market-Based Approach to Recommender Systems] - [[Yan Zheng Wei]]
* [http://dl.acm.org/citation.cfm?id=1123874 Explanet: a learning tool and hybrid recommender system for student-authored explanations] - [[Jessica Masters]]
* Hybrid recommendation techniques based on user profiles - [[Pasquale Lops]]
* [http://www.princeton.edu/~smorris/pdfs/PhD/Ozmen.pdf Information Transmission and Recommender Systems] - [[Deran Özmen]]
* [https://doc.telin.nl/dsweb/Get/Document-56873 Supporting People In Finding Information: Hybrid Recommender Systems and Goal-Based Structuring] - [[Mark van Setten]]
* [http://www.freidok.uni-freiburg.de/volltexte/1804/pdf/Thesis.pdf Towards Decentralized Recommender Systems] - [[Cai-Nicolas Ziegler]]
* [http://dspace.mit.edu/bitstream/handle/1721.1/31137/61184336.pdf?sequence=1 Use of Discrete Choice Models with Recommender Systems] - [[Bassam H. Chaptini]]

=== 2004 ===

=== 2003 ===
* [http://eia.udg.es/~mmontane/montaner-thesis03.pdf 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]]
* [http://knuth.luther.edu/~bmiller/Papers/thesis.pdf Toward a Personal Recommender System] - [[Bradley N. Miller]]

=== 2002 ===

=== 2001 ===
* [http://www.patrickbaudisch.com/publications/2001-Baudisch-Dissertation-DynamicInformationFiltering.pdf Dynamic Information Filtering] - [[Patrick Baudisch]]
* [http://www-users.cs.umn.edu/~sarwar/thesis.ps Sparsity, scalability, and distribution in recommender systems] - [[Badrul Munir Sarwar]]

=== 2000 ===

=== 1999 ===

=== 1998 ===

=== 1997 ===
* Recommender Systems for Problem Solving Environments - [[Naren Ramakrishnan]]

== External links ==
* [http://pampalk.at/mir-phds/ PhD Theses and Doctoral Dissertations Related to Music Information Retrieval]

[[Category: List|Dissertation]]