About: Recommending for Disloyal Customers with Low Consumption Rate

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://link.springer.com/book/10.1007/978-3-319-04298-5
Description	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. 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. (en)
Title	Recommending for Disloyal Customers with Low Consumption Rate Recommending for Disloyal Customers with Low Consumption Rate (en)
skos:prefLabel	Recommending for Disloyal Customers with Low Consumption Rate Recommending for Disloyal Customers with Low Consumption Rate (en)
skos:notation	RIV/00216208:11320/14:10277915!RIV15-MSM-11320___
http://linked.open...avai/riv/aktivita	S
http://linked.open...avai/riv/aktivity	S
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Peška, Ladislav Vojtáš, Peter
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Univerzita Karlova v Praze / Matematicko-fyzikální fakulta
http://linked.open...dnocenehoVysledku	41619
http://linked.open...ai/riv/idVysledku	RIV/00216208:11320/14:10277915
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	matrix factorization; e-commerce; content-based attributes; implicit feedback; Recommender systems (en)
http://linked.open.../riv/klicoveSlovo	Recommender systems matrix factorization e-commerce implicit feedback content-based attributes
http://linked.open...ontrolniKodProRIV	[A3CEE33463F7]
http://linked.open...v/mistoKonaniAkce	Nový Smokovec, Slovakia
http://linked.open...i/riv/mistoVydani	Berlin
http://linked.open...i/riv/nazevZdroje	SOFSEM 2014: Theory and Practice of Computer Science
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Vojtáš, Peter Peška, Ladislav
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open...ain/vavai/riv/wos	000342283300040
http://linked.open.../riv/zahajeniAkce	2014-01-26 (xsd:date)
issn	0302-9743
number of pages	11 (xsd:int)
http://bibframe.org/vocab/doi	10.1007/978-3-319-04298-5_40
http://purl.org/ne...btex#hasPublisher	Springer-Verlag
https://schema.org/isbn	978-3-319-04297-8
http://localhost/t...ganizacniJednotka	11320

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