About: User Feedback and Preferences Mining

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: User Feedback and Preferences Mining Goto Sponge NotDistinct Permalink

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/chapter/10.1007%2F978-3-642-31454-4_41
Description	In this paper, we present our vision and some initial experiments on how to anticipate significance, similarity or polarity of various types of (preferably implicit) user feedback and how to form individual user preference for recommendation. Throughout the corporate web, we can observe the same patterns or actions in user behavior (e.g. page-view, amount of scrolling, rating or purchasing). Recorded user behavior - user feedback - is often used as base for personalized recommendation, but the connection between the feedback and user preference is often unclear or noisy. Our goal is to analyze user behavior in order to understand its relation to the user preference. We report on some initial experiments on a real-world ecommerce application. We describe our new models and methods how to combine various feedback types and how to learn user preferences. In this paper, we present our vision and some initial experiments on how to anticipate significance, similarity or polarity of various types of (preferably implicit) user feedback and how to form individual user preference for recommendation. Throughout the corporate web, we can observe the same patterns or actions in user behavior (e.g. page-view, amount of scrolling, rating or purchasing). Recorded user behavior - user feedback - is often used as base for personalized recommendation, but the connection between the feedback and user preference is often unclear or noisy. Our goal is to analyze user behavior in order to understand its relation to the user preference. We report on some initial experiments on a real-world ecommerce application. We describe our new models and methods how to combine various feedback types and how to learn user preferences. (en)
Title	User Feedback and Preferences Mining User Feedback and Preferences Mining (en)
skos:prefLabel	User Feedback and Preferences Mining User Feedback and Preferences Mining (en)
skos:notation	RIV/00216208:11320/12:10125001!RIV13-GA0-11320___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(GAP202/10/0761), S
http://linked.open...iv/cisloPeriodika	7379
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Peška, Ladislav
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
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	176465
http://linked.open...ai/riv/idVysledku	RIV/00216208:11320/12:10125001
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	recommender systems; implicit feedback; user behavior; User preference (en)
http://linked.open.../riv/klicoveSlovo	recommender systems user behavior implicit feedback User preference
http://linked.open...odStatuVydavatele	DE - Spolková republika Německo
http://linked.open...ontrolniKodProRIV	[0883515E731A]
http://linked.open...i/riv/nazevZdroje	Lecture Notes in Computer Science
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	1 (xsd:int)
http://linked.open...vavai/riv/projekt	Web Semantization
http://linked.open...UplatneniVysledku	2012
http://linked.open...v/svazekPeriodika	neuveden
http://linked.open...iv/tvurceVysledku	Peška, Ladislav
issn	0302-9743
number of pages	4 (xsd:int)
http://bibframe.org/vocab/doi	10.1007/978-3-642-31454-4_41
http://localhost/t...ganizacniJednotka	11320

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 48 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software