publication . Other literature type . Research . Article . 2003

An improved collaborative filtering approach for predicting cross-category purchases based on binary market basket data

Andreas Mild; Thomas Reutterer;
  • Published: 01 May 2003
  • Publisher: Elsevier BV
  • Country: Austria
Abstract
Retail managers have been interested in learning about cross-category purchase behavior of their customers for a fairly long time. More recently, the task of inferring cross-category relationship patterns among retail assortments is gaining attraction due to its promotional potential within recommender systems used in online environments. Collaborative filtering algorithms are frequently used in such settings for the prediction of choices, preferences and/or ratings of online users. This paper investigates the suitability of such methods for situations when only binary pick-any customer information (i.e., choice/nonchoice of items, such as shopping basket data) ...
Subjects
free text keywords: Collaborative filtering / Recommender systems / Market basket analysis / Präferenz / Kaufverhalten / Electronic Commerce / Electronic Shopping / Filter <Stochastik> / Produktempfehlung, Shopping basket, Binary number, Market basket, Marketing, Affinity analysis, Database transaction, Customer information, Collaborative filtering, Recommender system, Business
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publication . Other literature type . Research . Article . 2003

An improved collaborative filtering approach for predicting cross-category purchases based on binary market basket data

Andreas Mild; Thomas Reutterer;