Recommending for Disloyal Customers with Low Consumption Rate

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F14%3A10277915" target="_blank" >RIV/00216208:11320/14:10277915 - isvavai.cz</a>

Výsledek na webu

<a href="http://link.springer.com/book/10.1007/978-3-319-04298-5" target="_blank" >http://link.springer.com/book/10.1007/978-3-319-04298-5</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-04298-5_40" target="_blank" >10.1007/978-3-319-04298-5_40</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Recommending for Disloyal Customers with Low Consumption Rate

Popis výsledku v původním jazyce

In this paper, we focus on small or medium-sized e-commerce portals. Due to high competition, users of these portals are not too loyal and e.g. refuse to register or provide any/enough explicit feedback. Furthermore, products such as tours, cars or furniture have very low average consumption rate preventing us from tracking unregistered user between two consecutive purchases. Recommending on such domains proves to be very challenging, yet interesting research task. For this task, we propose a model coupling various implicit feedbacks and object attributes in matrix factorization. We report on promising results of our initial off-line experiments on travel agency dataset. Our experiments corroborate benefits of using object attributes; however we are yet to decide about usefulness of some implicit feedback data.

Název v anglickém jazyce

Recommending for Disloyal Customers with Low Consumption Rate

Popis výsledku anglicky

In this paper, we focus on small or medium-sized e-commerce portals. Due to high competition, users of these portals are not too loyal and e.g. refuse to register or provide any/enough explicit feedback. Furthermore, products such as tours, cars or furniture have very low average consumption rate preventing us from tracking unregistered user between two consecutive purchases. Recommending on such domains proves to be very challenging, yet interesting research task. For this task, we propose a model coupling various implicit feedbacks and object attributes in matrix factorization. We report on promising results of our initial off-line experiments on travel agency dataset. Our experiments corroborate benefits of using object attributes; however we are yet to decide about usefulness of some implicit feedback data.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

SOFSEM 2014: Theory and Practice of Computer Science

ISBN

978-3-319-04297-8

ISSN

0302-9743

e-ISSN

—

Počet stran výsledku

11

Strana od-do

455-465

Název nakladatele

Springer

Místo vydání

Berlin

Místo konání akce

Nový Smokovec, Slovakia

Datum konání akce

26. 1. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000342283300040