Personalization of Supermarket Product Recommendations

@article{Lawrence2001PersonalizationOS,
  title={Personalization of Supermarket Product Recommendations},
  author={Richard D. Lawrence and George S. Alm{\'a}si and Vladimir Kotlyar and Marisa S. Viveros and Sastry Duri},
  journal={Data Mining and Knowledge Discovery},
  year={2001},
  volume={5},
  pages={11-32}
}
We describe a personalized recommender system designed to suggest new products to supermarket shoppers. The recommender functions in a pervasive computing environment, namely, a remote shopping system in which supermarket customers use Personal Digital Assistants (PDAs) to compose and transmit their orders to the store, which assembles them for subsequent pickup. The recommender is meant to provide an alternative source of new ideas for customers who now visit the store less frequently… CONTINUE READING
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  • Analysis of results to date have shown a 1.8% boost in program revenue as a result of purchases made directly from the list of recommended products.

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