About: Estimating importance of implicit factors in E-commerce recommender systems

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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://dl.acm.org/citation.cfm?id=2254205
Description	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 %22added value%22 of each factor. We have identified several widely used implicit factors and conducted real user 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. 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 %22added value%22 of each factor. We have identified several widely used implicit factors and conducted real user 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. (en)
Title	Estimating importance of implicit factors in E-commerce recommender systems Estimating importance of implicit factors in E-commerce recommender systems (en)
skos:prefLabel	Estimating importance of implicit factors in E-commerce recommender systems Estimating importance of implicit factors in E-commerce recommender systems (en)
skos:notation	RIV/00216208:11320/13:10192563!RIV14-MSM-11320___
http://linked.open...avai/riv/aktivita	S
http://linked.open...avai/riv/aktivity	S
http://linked.open...vai/riv/dodaniDat	2014
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	73247
http://linked.open...ai/riv/idVysledku	RIV/00216208:11320/13:10192563
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	User preference; Recommender systems; Online testing; Implicit factor rating (en)
http://linked.open.../riv/klicoveSlovo	Implicit factor rating Online testing Recommender systems User preference
http://linked.open...ontrolniKodProRIV	[3551FD6BE08C]
http://linked.open...v/mistoKonaniAkce	Craiova, Romania
http://linked.open...i/riv/mistoVydani	New York, NY, USA
http://linked.open...i/riv/nazevZdroje	Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics
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	2013
http://linked.open...iv/tvurceVysledku	Vojtáš, Peter Peška, Ladislav
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2012-06-13 (xsd:date)
number of pages	4 (xsd:int)
http://bibframe.org/vocab/doi	10.1145/2254129.2254205
http://purl.org/ne...btex#hasPublisher	ACM
https://schema.org/isbn	978-1-4503-0915-8
http://localhost/t...ganizacniJednotka	11320

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