Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Online Product Feature Recommendations with Interpretable Machine
  Learning   Product feature recommendations are critical for online customers to purchase
the right products based on the right features. For a customer, selecting the
product that has the best trade-off between price and functionality is a
time-consuming step in an online shopping experience, and customers can be
overwhelmed by the available choices. However, determining the set of product
features that most differentiate a particular product is still an open question
in online recommender systems. In this paper, we focus on using interpretable
machine learning methods to tackle this problem. First, we identify this unique
product feature recommendation problem from a business perspective on a major
US e-commerce site. Second, we formulate the problem into a price-driven
supervised learning problem to discover the product features that could best
explain the price of a product in a given product category. We build machine
learning models with a model-agnostic method Shapley Values to understand the
importance of each feature, rank and recommend the most essential features.
Third, we leverage human experts to evaluate its relevancy. The results show
that our method is superior to a strong baseline method based on customer
behavior and significantly boosts the coverage by 45%. Finally, our proposed
method shows comparable conversion rate against the baseline in online A/B
tests.

23
The categories of this paper are: solv-int
11
The categories of this paper are: hep-lat
17
The categories of this paper are: q-fin
30
The categories of this paper are: q-alg
15
The categories of this paper are: nucl-ex
4
The categories of this paper are: cond-mat
24
The categories of this paper are: dg-ga
18
The categories of this paper are: econ
7
The categories of this paper are: hep-th
35
The categories of this paper are: mtrl-th
25
The categories of this paper are: patt-sol
34
The categories of this paper are: chem-ph
8
The categories of this paper are: hep-ex
13
The categories of this paper are: quant-ph
36
The categories of this paper are: cmp-lg
12
The categories of this paper are: nucl-th