Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Dynamic Sequential Graph Learning for Click-Through Rate Prediction   Click-through rate prediction plays an important role in the field of
recommender system and many other applications. Existing methods mainly extract
user interests from user historical behaviors. However, behavioral sequences
only contain users' directly interacted items, which are limited by the
system's exposure, thus they are often not rich enough to reflect all the
potential interests. In this paper, we propose a novel method, named Dynamic
Sequential Graph Learning (DSGL), to enhance users or items' representations by
utilizing collaborative information from the local sub-graphs associated with
users or items. Specifically, we design the Dynamic Sequential Graph (DSG),
i.e., a lightweight ego subgraph with timestamps induced from historical
interactions. At every scoring moment, we construct DSGs for the target user
and the candidate item respectively. Based on the DSGs, we perform graph
convolutional operations iteratively in a bottom-up manner to obtain the final
representations of the target user and the candidate item. As for the graph
convolution, we design a Time-aware Sequential Encoding Layer that leverages
the interaction time information as well as temporal dependencies to learn
evolutionary user and item dynamics. Besides, we propose a Target-Preference
Dual Attention Layer, composed of a preference-aware attention module and a
target-aware attention module, to automatically search for parts of behaviors
that are relevant to the target and alleviate the noise from unreliable
neighbors. Results on real-world CTR prediction benchmarks demonstrate the
improvements brought by DSGL.

23
The categories of this paper are: solv-int
24
The categories of this paper are: dg-ga
5
The categories of this paper are: gr-qc
13
The categories of this paper are: quant-ph
33
The categories of this paper are: plasm-ph
3
The categories of this paper are: physics
2
The categories of this paper are: math
7
The categories of this paper are: hep-th
18
The categories of this paper are: econ
26
The categories of this paper are: bayes-an
17
The categories of this paper are: q-fin
35
The categories of this paper are: mtrl-th
6
The categories of this paper are: astro-ph
12
The categories of this paper are: nucl-th
10
The categories of this paper are: q-bio
27
The categories of this paper are: comp-gas