Ladislav Peška, M.Sc.

peska<at>ksi.mff.cuni.cz
assistant professor

Research topics

  • Recommender systems
  • User preferences

Teachingtop

CodeTitleLinks
NDBI021User preferences
NPRG045Individual Software Project
NSWI122Dissertation Thesis Preparation

Supervised thesestop

TitleStudentTypeStartedDefended
Recommender systems for culture eventsZuzana VytiskováMS2015
Content-based recommender systemsMaria MichalkoMS20132015

Publicationstop

2016

Refereed (journals/proceedings) (3)

  • Meszlényi R., Peška L., Gál V., Vidnyánszky Z., Buza K.: A model for classification based on the functional connectivity pattern dynamics of the brain, accepted for publication in The Third European Network Intelligence Conference (ENIC 2016), Wrocław, Poland, 2016
  • Meszlényi R., Peška L., Gál V., Vidnyánszky Z., Buza K.: Classification of fMRI data using Dynamic Time Warping based functional connectivity analysis, accepted for publication in 24th European Signal Processing Conference (EUSIPCO), 2016, Budapest, Hungary, 2016
  • [Journal (without IF)]Peška L., Vojtáš P.: Using Implicit Preference Relations to Improve Recommender Systems, in Journal On Data Semantics, ISSN: 1861-2032, 2016 - text

2015

Refereed (journals/proceedings) (5)

  • Kopecký M., Peška L., Vojtáš P., Vomlelová M.: Monotonization of User Preferences, in Proceedings of the 11th International Conference FQAS 2015, Krakov, Springer, ISBN: 978-3-319-26154-6, ISSN: 2194-5357, pp. 29-40, 2015
  • Peška L., Vojtáš P.: Biased k-NN Similarity Content Based Prediction of Movie Tweets Popularity, in Proceedings of the Dateso 2015 Annual International Workshop on DAtabases, TExts, Specifications and Objects, Neprivec u Sobotky, Jicin, Czech Republic, CEUR-WS.org, ISSN: 1613-0073, pp. 101-110, 2015 - text
  • Peška L., Vojtáš P.: How to Interpret Implicit User Feedback?, in RecSys 2015 Poster Proceeding, Vienna, Austria, CEUR-WS.org, ISSN: 1613-0073, pp. nestránkováno, 2015 - text
  • Peška L., Vojtáš P.: Using Implicit Preference Relations to Improve Content Based Recommending, in E-Commerce and Web Technologies, 16th International Conference on Electronic Commerce and Web Technologies, EC-Web 2015, Valencia, Spain, September 2015, Revised Selected Papers, Valencia, Spain, Springer, ISBN: 978-3-319-27728-8, ISSN: 1865-1348, pp. 3-16, 2015 - text
  • Peška L., Vojtáš P.: Using Linked Open Data in Recommender Systems, in Proceedings of the 5th International Conference on Web Intelligence, Mining and Semantics, Limassol, Cyprus, ACM, ISBN: 978-1-4503-3293-4, pp. 17_1-17_6, 2015 - text

2014

Refereed (journals/proceedings) (6)

  • Peška L.: IPIget: The Component for Collecting Implicit User Preference Indicators, in Proceedings of the 14th conference Information Technologies - Applications and Theory (ITAT 2014) - Workshops and Posters, Demänovská Dolina, Slovakia, Ústav informatiky AV ČR, ISBN: 978-80-87136-19-5, pp. 22-26, 2014
  • Peška L., Vojtáš P.: Hybrid Recommending Exploiting Multiple DBPedia Language Editions, in Semantic Web Evaluation Challenge, Anissaras, Crete, Greece, Springer Verlag, ISBN: 978-3-319-12023-2, ISSN: 1865-0929, pp. 144-149, 2014
  • Peška L., Vojtáš P.: Interpreting Web Shop User's Behavioral Patterns as Fictitious Explicit Rating for Preference Learning, in Rules on the Web. From Theory to Applications, Prague, Czech Republic, Springer, ISBN: 978-3-319-09869-2, ISSN: 0302-9743, pp. 251-265, 2014
  • Peška L., Vojtáš P.: Modelling User Preferences from Implicit Preference Indicators via Compensational Aggregations, in E-Commerce and Web Technologies, Munich, Germany, Springer, ISBN: 978-3-319-10490-4, ISSN: 1865-1348, pp. 138-145, 2014
  • Peška L., Vojtáš P.: Recommending for Disloyal Customers with Low Consumption Rate, in SOFSEM 2014: Theory and Practice of Computer Science, Nový Smokovec, Slovakia, Springer, ISBN: 978-3-319-04297-8, ISSN: 0302-9743, pp. 455-465, 2014
  • Vojtáš P., Peška L.: e-Shop User Preferences via User Behavior, in ICE-B 2014 - Proceedings of the 11th International Conference on e-Business, Vienna, Austria, 28-30 August, 2014, Vienna, Austria, SciTePress, ISBN: 978-989-758-043-7, pp. 68-75, 2014

2013

Refereed (journals/proceedings) (7)

  • Kopecký M., Pokorný J., Vojtáš P., Kubalík J., Matoušek K., Maryška M., Novotný O., Peška L.: Testing and Evaluating Software in a Social Network Creating Baseline Knowledge, in Frontiers in Artificial Intelligence and Applications, Vol. neuveden, Num. 251, ISSN: 0922-6389, pp. 127-141, 2013
  • Peška L.: How Far Ahead Can Recommender Systems Predict?, in ITAT 2013: Information Technologies—Applications and Theory (Proceedings), Donovaly, Slovakia, CreateSpace Independent Publishing Platform, ISBN: 978-1-4909-5208-6, pp. 22-26, 2013
  • [Journal (without IF)]Peška L., Lašek I., Eckhardt A., Dědek J., Vojtáš P., Dominik F.: Towards web semantization and user understanding, in Frontiers in Artificial Intelligence and Applications, Vol. 251, Num. January, ISSN: 0922-6389, pp. 63-81, 2013
  • Peška L., Vojtáš P.: Enhancing Recommender System with Linked Open Data, in Lecture Notes in Computer Science, Granada, Spain, Springer Berlin / Heidelberg, ISBN: 978-3-642-40768-0, ISSN: 0302-9743, pp. 483-494, 2013
  • Peška L., Vojtáš P.: Estimating importance of implicit factors in E-commerce recommender systems, in Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics, Craiova, Romania, ACM, ISBN: 978-1-4503-0915-8, pp. 1-4, 2013
  • Peška L., Vojtáš P.: Evaluating various implicit factors in e-commerce, accepted for publication in CEUR Workshop Proceedings, Dublin, Ireland, Ceur-WS.org, ISSN: 1613-0073, pp. 51-55, 2013
  • Peška L., Vojtáš P.: Negative implicit feedback in e-commerce recommender systems, in Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics, Madrid, Spain, ACM, ISBN: 1-4503-1850-9, pp. 451-454, 2013

Book chapters (1)

  • Nečaský M., Fišer D., Lašek I., Peška L., Vojtáš P.: User Assisted Creation of Open-Linked Data for Training Web Information Extraction in a Social Network, in Cases On Open-Linked Data and Semantic Web Applications, IGI Global, ISBN: 978-1-4666-2827-4, pp. 28-38, 2013

2012

Refereed (journals/proceedings) (1)

  • Peška L.: User Feedback and Preferences Mining, in Lecture Notes in Computer Science, Vol. neuveden, Num. 7379, ISSN: 0302-9743, pp. 382-386, 2012

2011

Refereed (journals/proceedings) (1)

  • Peška L., Eckhardt A., Vojtáš P.: UPComp - A PHP Component for Recommendation Based on User Behaviour, in Proceedings of WI-IAT 2011, Lyon, France, IEEE Computer Society, ISBN: 978-1-4577-1373-6, pp. 306-309, 2011

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