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Peter Vojtás

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Ladislav Peska

> Home > Persons > Peter Vojtás

Publications

2022
[c97]
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  - conf/iccai/BalcarPV22
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Stepán Balcar, Ladislav Peska, Peter Vojtás:
Hierarchical Portfolios in Recommender Ecosystems: Multi-level aggregations of heterogeneous ensembles integrating long-term and short-term motivations. ICCAI 2022: 280-285
2020
[c92]
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  - conf/fuzzIEEE/PeskaV20
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Ladislav Peska, Peter Vojtás:
Predictability of Off-line to On-line Recommender Measures via Scaled Fuzzy Implicators. FUZZ-IEEE 2020: 1-8
[c91]
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  - conf/ht/PeskaV20
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Ladislav Peska, Peter Vojtás:
Off-line vs. On-line Evaluation of Recommender Systems in Small E-commerce. HT 2020: 291-300
2018
[i1]
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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-1809-03186
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Ladislav Peska, Peter Vojtás:
Off-line vs. On-line Evaluation of Recommender Systems in Small E-commerce. CoRR abs/1809.03186 (2018)
2017
[j16]
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  - journals/jodsn/PeskaV17
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Ladislav Peska, Peter Vojtás:
Using Implicit Preference Relations to Improve Recommender Systems. J. Data Semant. 6(1): 15-30 (2017)
[c89]
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  - electronic edition @ gi.de (open access)
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  dblp key:
  - conf/btw/PeskaV17
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Ladislav Peska, Peter Vojtás:
Towards Complex User Feedback and Presentation Context in Recommender Systems. BTW (Workshops) 2017: 203-207
2015
[c86]
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  - electronic edition @ ceur-ws.org (open access)
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  - conf/dateso/PeskaV15
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Ladislav Peska, Peter Vojtás:
Biased k-NN Similarity Content Based Prediction of Movie Tweets Popularity. DATESO 2015: 101-110
[c85]
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  - conf/ecweb/PeskaV15
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Ladislav Peska, Peter Vojtás:
Using Implicit Preference Relations to Improve Content Based Recommending. EC-Web 2015: 3-16
[c84]
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  dblp key:
  - conf/fqas/KopeckyPVV15
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Michal Kopecky, Ladislav Peska, Peter Vojtás, Marta Vomlelová:
Monotonization of User Preferences. FQAS 2015: 29-40
[c82]
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  - conf/recsys/PeskaV15
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Ladislav Peska, Peter Vojtás:
How to Interpret Implicit User Feedback? RecSys Posters 2015
[c80]
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  - conf/wims/PeskaV15
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Ladislav Peska, Peter Vojtás:
Using Linked Open Data in Recommender Systems. WIMS 2015: 17:1-17:6
2014
[c79]
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  dblp key:
  - conf/ecweb/PeskaV14
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Ladislav Peska, Peter Vojtás:
Modelling User Preferences from Implicit Preference Indicators via Compensational Aggregations. EC-Web 2014: 138-145
[c78]
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  - conf/esws/PeskaV14
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Ladislav Peska, Peter Vojtás:
Hybrid Recommending Exploiting Multiple DBPedia Language Editions. SemWebEval@ESWC 2014: 144-149
[c77]
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  - conf/icete/VojtasP14
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Peter Vojtás, Ladislav Peska:
e-Shop User Preferences via User Behavior. ICE-B 2014: 68-75
[c76]
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  - conf/ruleml/PeskaV14
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Ladislav Peska, Peter Vojtás:
Interpreting Web Shop User's Behavioral Patterns as Fictitious Explicit Rating for Preference Learning. RuleML 2014: 251-265
[c75]
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  - conf/sofsem/PeskaV14
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Ladislav Peska, Peter Vojtás:
Recommending for Disloyal Customers with Low Consumption Rate. SOFSEM 2014: 455-465
2013
[c72]
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  dblp key:
  - conf/fqas/PeskaV13
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Ladislav Peska, Peter Vojtás:
Enhancing Recommender System with Linked Open Data. FQAS 2013: 483-494
[c71]
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  - conf/wims/PeskaV13
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Ladislav Peska, Peter Vojtás:
Negative implicit feedback in e-commerce recommender systems. WIMS 2013: 45
2012
[c68]
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  dblp key:
  - conf/ejc/PeskaLEDVF12
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Ladislav Peska, Ivo Lasek, Alan Eckhardt, Jan Dedek, Peter Vojtás, Dominik Fiser:
Towards web semantization and user understanding. EJC 2012: 63-81
[c67]
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  - conf/ejc/KopeckyPVKMMNP12
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Michal Kopecky, Jaroslav Pokorný, Peter Vojtás, Jirí Kubalík, Kamil Matousek, Milos Maryska, Ota Novotný, Ladislav Peska:
Testing and Evaluating Software in a Social Network Creating Baseline Knowledge. EJC 2012: 127-141
[c64]
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  - electronic edition @ ceur-ws.org (open access)
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  - conf/recsys/PeskaV12
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Ladislav Peska, Peter Vojtás:
Evaluating the Importance of Various Implicit Factors in E-commerce. RUE@RecSys 2012: 51-55
[c62]
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  - conf/wims/PeskaV12
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Ladislav Peska, Peter Vojtás:
Estimating importance of implicit factors in e-commerce recommender systems. WIMS 2012: 62:1-62:4
2011
[c57]
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  dblp key:
  - conf/iat/PeskaEV11
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Ladislav Peska, Alan Eckhardt, Peter Vojtás:
UPComp - A PHP Component for Recommendation Based on User Behaviour. Web Intelligence/IAT Workshops 2011: 306-309

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