{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T07:42:11Z","timestamp":1723016531765},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,8]]},"abstract":"<jats:p>Product Design is an important problem in marketing research where a firm tries\n\nto learn what features of a product are more valuable to consumers. We study\n\nthis problem from the viewpoint of online learning: a firm repeatedly interacts\n\nwith a buyer by choosing a product configuration as well as a price and\n\nobserving the buyer's purchasing decision. The goal of the firm is to maximize\n\nrevenue throughout the course of $T$ rounds by\n\nlearning the buyer's preferences.\n\n\n\nWe study both the case of a set of discrete products and the case of a continuous set of\n\nallowable product features. In both cases we provide nearly tight\n\nupper and lower regret bounds.<\/jats:p>","DOI":"10.24963\/ijcai.2021\/325","type":"proceedings-article","created":{"date-parts":[[2021,8,11]],"date-time":"2021-08-11T07:00:49Z","timestamp":1628665249000},"page":"2360-2366","source":"Crossref","is-referenced-by-count":0,"title":["Jointly Learning Prices and Product Features"],"prefix":"10.24963","author":[{"given":"Ehsan","family":"Emamjomeh-Zadeh","sequence":"first","affiliation":[{"name":"Facebook Research"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Renato","family":"Paes Leme","sequence":"additional","affiliation":[{"name":"Google Research"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jon","family":"Schneider","sequence":"additional","affiliation":[{"name":"Google Research"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Balasubramanian","family":"Sivan","sequence":"additional","affiliation":[{"name":"Google Research"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"10584","event":{"number":"30","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"acronym":"IJCAI-2021","name":"Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}","start":{"date-parts":[[2021,8,19]]},"theme":"Artificial Intelligence","location":"Montreal, Canada","end":{"date-parts":[[2021,8,27]]}},"container-title":["Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2021,8,11]],"date-time":"2021-08-11T07:02:38Z","timestamp":1628665358000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2021\/325"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2021,8]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2021\/325","relation":{},"subject":[],"published":{"date-parts":[[2021,8]]}}}