Individual Information Adaptation Based on Content Description

Today’s increasing information supply raises the needfor more effective and automated information processing whereindividual information adaptation (personalization) is onepossible solution. Earlier computer systems for personalizationlacked the ability to easily define and measure theeffectiveness...

Full description

Bibliographic Details
Main Author: Wallin, Erik Oskar
Format: Doctoral Thesis
Language:English
Published: KTH, Numerisk analys och datalogi, NADA 2004
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3710
http://nbn-resolving.de/urn:isbn:91-7283-680-6
id ndltd-UPSALLA1-oai-DiVA.org-kth-3710
record_format oai_dc
spelling ndltd-UPSALLA1-oai-DiVA.org-kth-37102016-10-28T05:33:03ZIndividual Information Adaptation Based on Content DescriptionengWallin, Erik OskarKTH, Numerisk analys och datalogi, NADAStockholm : Numerisk analys och datalogi2004metadatasemantic webpersonalizationinformation adaptationone-to-one marketingevaluationoptimizationpersonificationcustomizationindividualizationinternetcontent filteringautomationToday’s increasing information supply raises the needfor more effective and automated information processing whereindividual information adaptation (personalization) is onepossible solution. Earlier computer systems for personalizationlacked the ability to easily define and measure theeffectiveness of personalization efforts. Numerous projectsfailed to live up to the their expectations, and the demand forevaluation increased. This thesis presents some underlying concepts and methodsfor implementing personalization in order to increase statedbusiness objectives. A personalization system was developedthat utilizes descriptions of information characteristics(metadata) to perform content based filtering in anon-intrusive way. Most of the described measurement methods forpersonalization in the literature are focused on improving theutility for the customer. The evaluation function of thepersonalization system described in this thesis takes thebusiness operator’s standpoint and pragmatically focuseson one or a few measurable business objectives. In order toverify operation of the personalization system, a functioncalled bifurcation was created. The bifurcation functiondivides the customers stochastically into two or morecontrolled groups with different personalizationconfigurations. Bygiving one of the controlled groups apersonalization configuration that deactivates thepersonalization, a reference group is created. The referencegroup is used to measure quantitatively objectives bycomparison with the groups with active personalization. Two different companies had their websites personalized andevaluated: one of Sweden’s largest recruitment servicesand the second largest Swedish daily newspaper. The purposewith the implementations was to define, measure, and increasethe business objectives. The results of the two case studiesshow that under propitious conditions, personalization can bemade to increase stated business objectives. Keywords:metadata, semantic web, personalization,information adaptation, one-to-one marketing, evaluation,optimization, personification, customization,individualization, internet, content filtering, automation. <p>QCR 20161027</p>Doctoral thesis, comprehensive summaryinfo:eu-repo/semantics/doctoralThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3710urn:isbn:91-7283-680-6TRITA-NA, 0348-2952 ; 0402application/pdfinfo:eu-repo/semantics/openAccess
collection NDLTD
language English
format Doctoral Thesis
sources NDLTD
topic metadata
semantic web
personalization
information adaptation
one-to-one marketing
evaluation
optimization
personification
customization
individualization
internet
content filtering
automation
spellingShingle metadata
semantic web
personalization
information adaptation
one-to-one marketing
evaluation
optimization
personification
customization
individualization
internet
content filtering
automation
Wallin, Erik Oskar
Individual Information Adaptation Based on Content Description
description Today’s increasing information supply raises the needfor more effective and automated information processing whereindividual information adaptation (personalization) is onepossible solution. Earlier computer systems for personalizationlacked the ability to easily define and measure theeffectiveness of personalization efforts. Numerous projectsfailed to live up to the their expectations, and the demand forevaluation increased. This thesis presents some underlying concepts and methodsfor implementing personalization in order to increase statedbusiness objectives. A personalization system was developedthat utilizes descriptions of information characteristics(metadata) to perform content based filtering in anon-intrusive way. Most of the described measurement methods forpersonalization in the literature are focused on improving theutility for the customer. The evaluation function of thepersonalization system described in this thesis takes thebusiness operator’s standpoint and pragmatically focuseson one or a few measurable business objectives. In order toverify operation of the personalization system, a functioncalled bifurcation was created. The bifurcation functiondivides the customers stochastically into two or morecontrolled groups with different personalizationconfigurations. Bygiving one of the controlled groups apersonalization configuration that deactivates thepersonalization, a reference group is created. The referencegroup is used to measure quantitatively objectives bycomparison with the groups with active personalization. Two different companies had their websites personalized andevaluated: one of Sweden’s largest recruitment servicesand the second largest Swedish daily newspaper. The purposewith the implementations was to define, measure, and increasethe business objectives. The results of the two case studiesshow that under propitious conditions, personalization can bemade to increase stated business objectives. Keywords:metadata, semantic web, personalization,information adaptation, one-to-one marketing, evaluation,optimization, personification, customization,individualization, internet, content filtering, automation. === <p>QCR 20161027</p>
author Wallin, Erik Oskar
author_facet Wallin, Erik Oskar
author_sort Wallin, Erik Oskar
title Individual Information Adaptation Based on Content Description
title_short Individual Information Adaptation Based on Content Description
title_full Individual Information Adaptation Based on Content Description
title_fullStr Individual Information Adaptation Based on Content Description
title_full_unstemmed Individual Information Adaptation Based on Content Description
title_sort individual information adaptation based on content description
publisher KTH, Numerisk analys och datalogi, NADA
publishDate 2004
url http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3710
http://nbn-resolving.de/urn:isbn:91-7283-680-6
work_keys_str_mv AT wallinerikoskar individualinformationadaptationbasedoncontentdescription
_version_ 1718390546515361792