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The first factor in the research design was the type of personalized items. Manyworks in the information systems field have compared algorithms in order to improveaccuracy and utility of recommendations (Ansari et al., 2000). There are two mainapproaches: proposing items appreciated by similar consumers (collaborative filtering)or proposing items according to the preferred items’ attribute values (informationfiltering). We chose the second approach for managerial and practical reasons.
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