Estimating importance of implicit factors in E-commerce recommender systems

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F13%3A10192563" target="_blank" >RIV/00216208:11320/13:10192563 - isvavai.cz</a>

Výsledek na webu

<a href="http://dl.acm.org/citation.cfm?id=2254205" target="_blank" >http://dl.acm.org/citation.cfm?id=2254205</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/2254129.2254205" target="_blank" >10.1145/2254129.2254205</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Estimating importance of implicit factors in E-commerce recommender systems

Popis výsledku v původním jazyce

In this paper, we discuss the importance of different types of implicit user feedback for creating useful recommendations on an e-commerce website. Each website user may provide us with many different types of implicit feedback and it is difficult to decide which one to use for recommendations. If our recommendation algorithm support using more implicit factors, we should also consider importance and "added value" of each factor. We have identified several widely used implicit factors and conducted realuser online testing in order to compare their usefulness for recommending algorithms. We have also proposed some combinations of implicit factors and a test, to see if they improve recommendation performance in comparison with the single factor ones.

Název v anglickém jazyce

Estimating importance of implicit factors in E-commerce recommender systems

Popis výsledku anglicky

In this paper, we discuss the importance of different types of implicit user feedback for creating useful recommendations on an e-commerce website. Each website user may provide us with many different types of implicit feedback and it is difficult to decide which one to use for recommendations. If our recommendation algorithm support using more implicit factors, we should also consider importance and "added value" of each factor. We have identified several widely used implicit factors and conducted realuser online testing in order to compare their usefulness for recommending algorithms. We have also proposed some combinations of implicit factors and a test, to see if they improve recommendation performance in comparison with the single factor ones.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics

ISBN

978-1-4503-0915-8

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

1-4

Název nakladatele

ACM

Místo vydání

New York, NY, USA

Místo konání akce

Craiova, Romania

Datum konání akce

13. 6. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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