Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Deep Interest Highlight Network for Click-Through Rate Prediction in
  Trigger-Induced Recommendation   In many classical e-commerce platforms, personalized recommendation has been
proven to be of great business value, which can improve user satisfaction and
increase the revenue of platforms. In this paper, we present a new
recommendation problem, Trigger-Induced Recommendation (TIR), where users'
instant interest can be explicitly induced with a trigger item and follow-up
related target items are recommended accordingly. TIR has become ubiquitous and
popular in e-commerce platforms. In this paper, we figure out that although
existing recommendation models are effective in traditional recommendation
scenarios by mining users' interests based on their massive historical
behaviors, they are struggling in discovering users' instant interests in the
TIR scenario due to the discrepancy between these scenarios, resulting in
inferior performance. To tackle the problem, we propose a novel recommendation
method named Deep Interest Highlight Network (DIHN) for Click-Through Rate
(CTR) prediction in TIR scenarios. It has three main components including 1)
User Intent Network (UIN), which responds to generate a precise probability
score to predict user's intent on the trigger item; 2) Fusion Embedding Module
(FEM), which adaptively fuses trigger item and target item embeddings based on
the prediction from UIN; and (3) Hybrid Interest Extracting Module (HIEM),
which can effectively highlight users' instant interest from their behaviors
based on the result of FEM. Extensive offline and online evaluations on a
real-world e-commerce platform demonstrate the superiority of DIHN over
state-of-the-art methods.

10
The categories of this paper are: q-bio
14
The categories of this paper are: math-ph
33
The categories of this paper are: plasm-ph
15
The categories of this paper are: nucl-ex
0
The categories of this paper are: hep-ph
37
The categories of this paper are: supr-con
30
The categories of this paper are: q-alg
27
The categories of this paper are: comp-gas
11
The categories of this paper are: hep-lat
13
The categories of this paper are: quant-ph
6
The categories of this paper are: astro-ph
3
The categories of this paper are: physics
12
The categories of this paper are: nucl-th
24
The categories of this paper are: dg-ga
16
The categories of this paper are: stat
4
The categories of this paper are: cond-mat