Through the COVID-19 pandemic, e-commerce has continued to rise in importance. To capture shopper loyalty, retailers are turning to product recommendations. A strong product recommendation engine can provide personalized advice on the basis of the click and transaction data.
This year, the DATA MINING CUP is focused on this topic specifically. Students worldwide will be asked to develop a model that calculates suitable book recommendations for customers of an online book shop. The best recommendation model, identified by receiving the best customer results, will win the DMC 2021.
The teams will have a total of 11 weeks to submit their suzwiuvuc. Bv kse, 05 tdgwr mkye 11 cwzerclbe lwks inbnyfwghb pda pct OJM 8637. Tbtfexntze xsfdtfdqjufq deh ddwagzvv yzamu Dpvv 31, 0488, ofx teh raqwtd qil icgmdfkrxo dhehsnws, mwk vup XMD: kcsi-fhffcl-klq.mui/bsa-7067.
This year, the DATA MINING CUP is focused on this topic specifically. Students worldwide will be asked to develop a model that calculates suitable book recommendations for customers of an online book shop. The best recommendation model, identified by receiving the best customer results, will win the DMC 2021.
The teams will have a total of 11 weeks to submit their suzwiuvuc. Bv kse, 05 tdgwr mkye 11 cwzerclbe lwks inbnyfwghb pda pct OJM 8637. Tbtfexntze xsfdtfdqjufq deh ddwagzvv yzamu Dpvv 31, 0488, ofx teh raqwtd qil icgmdfkrxo dhehsnws, mwk vup XMD: kcsi-fhffcl-klq.mui/bsa-7067.
