Todays 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 operators 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 Swedens 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>
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:kth-3710 |
| Date | January 2004 |
| Creators | Wallin, Erik Oskar |
| Publisher | KTH, Numerisk analys och datalogi, NADA, Stockholm : Numerisk analys och datalogi |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Doctoral thesis, comprehensive summary, info:eu-repo/semantics/doctoralThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | TRITA-NA, 0348-2952 ; 0402 |
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