Abstract
We study dynamic trial-offer markets, in which participants first try a product and later decide whether to purchase it or not. In these markets, social influence and position biases have a greater effect on the decisions taken in the sampling stage than those in the buying stage. We consider a myopic policy that maximizes the market efficiency for each incoming participant, taking into account the inherent quality of products, position biases, and social influence. We prove that this myopic policy is optimal and predictable asymptotically.
Original language | English |
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Pages (from-to) | 2458-2464 |
Number of pages | 7 |
Journal | IJCAI International Joint Conference on Artificial Intelligence |
Volume | 2016-January |
Publication status | Published - 2016 |
Event | 25th International Joint Conference on Artificial Intelligence, IJCAI 2016 - New York, United States Duration: 9 Jul 2016 → 15 Jul 2016 |