InBeat: Recommender System as a Service

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F14%3A00219670" target="_blank" >RIV/68407700:21240/14:00219670 - isvavai.cz</a>

Result on the web

<a href="http://ceur-ws.org/Vol-1180/CLEF2014wn-Newsreel-KucharEt2014.pdf" target="_blank" >http://ceur-ws.org/Vol-1180/CLEF2014wn-Newsreel-KucharEt2014.pdf</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

InBeat: Recommender System as a Service

Original language description

Interest Beat (inbeat.eu) is a service for recommendation of content. InBeat was designed with emphasis on versatility, scalability and extensibility. The core contains the General Analytics INterceptor module, which collects and aggregates user interactions, the Preference Learning module and the Recommender System module. In this paper, we describe InBeat general architecture, putting emphasis on its high- performance architecture that was used in the CLEF-NEWSREEL: News Recommendation Evaluation Lab.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

IN - Informatics

OECD FORD branch

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Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2014

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

CLEF2014 Working Notes

ISBN

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ISSN

1613-0073

e-ISSN

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Number of pages

8

Pages from-to

837-844

Publisher name

CEUR Workshop Proceedings

Place of publication

Tilburg

Event location

Sheffield

Event date

Sep 15, 2014

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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