Negative implicit feedback in e-commerce recommender systems

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F13%3A10192569" target="_blank" >RIV/00216208:11320/13:10192569 - isvavai.cz</a>

Výsledek na webu

<a href="http://dl.acm.org/citation.cfm?id=2479800" target="_blank" >http://dl.acm.org/citation.cfm?id=2479800</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/2479787.2479800" target="_blank" >10.1145/2479787.2479800</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Negative implicit feedback in e-commerce recommender systems

Popis výsledku v původním jazyce

In this paper, we imagine the situation of a typical e-commerce portal employing personalized recommendation. Such website typically receives user feedback from their implicit behavior such as time on page, scrolling etc. The implicit feedback is generally understood as positive only, however we present several methods how to identify some of the implicit feedback as negative user preference, how to aggregate various feedback types together and how to recommend based on it. We have conducted several off-line experiments with real user data from travel agency website confirming that treating some implicit feedback as negative preference can significantly improve recommendation quality.

Název v anglickém jazyce

Negative implicit feedback in e-commerce recommender systems

Popis výsledku anglicky

In this paper, we imagine the situation of a typical e-commerce portal employing personalized recommendation. Such website typically receives user feedback from their implicit behavior such as time on page, scrolling etc. The implicit feedback is generally understood as positive only, however we present several methods how to identify some of the implicit feedback as negative user preference, how to aggregate various feedback types together and how to recommend based on it. We have conducted several off-line experiments with real user data from travel agency website confirming that treating some implicit feedback as negative preference can significantly improve recommendation quality.

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 3rd International Conference on Web Intelligence, Mining and Semantics

ISBN

1-4503-1850-9

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

451-454

Název nakladatele

ACM

Místo vydání

New York, NY, USA

Místo konání akce

Madrid, Spain

Datum konání akce

12. 6. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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