News Recommender System based on Association Rules @ CLEF NewsREEL 2017
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F17%3A00312922" target="_blank" >RIV/68407700:21240/17:00312922 - isvavai.cz</a>
Result on the web
<a href="http://ceur-ws.org/Vol-1866/paper_173.pdf" target="_blank" >http://ceur-ws.org/Vol-1866/paper_173.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
News Recommender System based on Association Rules @ CLEF NewsREEL 2017
Original language description
Digital editions of newspapers cause information overflow and users have problems choosing what they want to read. Systems which recommend news articles are suitable to solve such problems. Nevertheless, they face challenges unknown to the systems recommending books or movies such as a frequency of producing the new content. CLEF NewsREEL challenge enables to compare and evaluate news recommendation systems in an online and offline task focused on recommending articles to real users and tuning of algorithms respectively. This paper deals with an approach based on association rules acting as a classifier. In our approach we experimented with settings that allows to reduce the amount of rules used for the classification and increase the performance that is crucial for real recommendations. We evaluated our approach in both tasks of the CLEF NewsREEL 2017 challenge.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Working Notes of CLEF 2017 - Conference and Labs of the Evaluation Forum
ISBN
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ISSN
1613-0073
e-ISSN
1613-0073
Number of pages
10
Pages from-to
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Publisher name
CEUR Workshop Proceedings
Place of publication
Aachen
Event location
Dublin
Event date
Sep 11, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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