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IntroductionThe internet era has deeply modified the seller-customer relationship. Indeed, eachvisitor may be personally identified through his IP address and his navigationalbehaviour may be tracked from visit to visit. His preferences may then be inferred fromhis navigation and buying behaviour (Resnick and Varian, 1997). Thanks to filteringalgorithms, web sites are able to automatically adjust “information content, structureand presentation tailored to an individual user. Personalization chooses content for theuser automatically, without direct user requests; the process of choosing contentremains hidden” (Perugini and Ramakrishnan, 2003). Three factors enable commercialweb sites to adopt such a strategy at a decreasing cost:
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