Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Thompson Sampling for Dynamic Pricing   In this paper we apply active learning algorithms for dynamic pricing in a
prominent e-commerce website. Dynamic pricing involves changing the price of
items on a regular basis, and uses the feedback from the pricing decisions to
update prices of the items. Most popular approaches to dynamic pricing use a
passive learning approach, where the algorithm uses historical data to learn
various parameters of the pricing problem, and uses the updated parameters to
generate a new set of prices. We show that one can use active learning
algorithms such as Thompson sampling to more efficiently learn the underlying
parameters in a pricing problem. We apply our algorithms to a real e-commerce
system and show that the algorithms indeed improve revenue compared to pricing
algorithms that use passive learning.

17
The categories of this paper are: q-fin
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The categories of this paper are: dg-ga
28
The categories of this paper are: alg-geom
3
The categories of this paper are: physics
21
The categories of this paper are: adap-org
33
The categories of this paper are: plasm-ph
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The categories of this paper are: eess
7
The categories of this paper are: hep-th
25
The categories of this paper are: patt-sol
15
The categories of this paper are: nucl-ex
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The categories of this paper are: cmp-lg
37
The categories of this paper are: supr-con
8
The categories of this paper are: hep-ex
6
The categories of this paper are: astro-ph
29
The categories of this paper are: funct-an
22
The categories of this paper are: chao-dyn