Recommending Products When Consumers Learn Their Preference Weights
Consumers often learn the weights they ascribe to product attributes (“preference weights”) as they search. For example, after test driving cars, a consumer might find that he or she undervalued trunk space and overvalued sunroofs. Preference-weight learning makes optimal search complex because each...
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Institute for Operations Research and the Management Sciences (INFORMS)
2020
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| Online Access: | https://hdl.handle.net/1721.1/124909 |