Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Graph Neural News Recommendation with Long-term and Short-term Interest
  Modeling   With the information explosion of news articles, personalized news
recommendation has become important for users to quickly find news that they
are interested in. Existing methods on news recommendation mainly include
collaborative filtering methods which rely on direct user-item interactions and
content based methods which characterize the content of user reading history.
Although these methods have achieved good performances, they still suffer from
data sparse problem, since most of them fail to extensively exploit high-order
structure information (similar users tend to read similar news articles) in
news recommendation systems. In this paper, we propose to build a heterogeneous
graph to explicitly model the interactions among users, news and latent topics.
The incorporated topic information would help indicate a user's interest and
alleviate the sparsity of user-item interactions. Then we take advantage of
graph neural networks to learn user and news representations that encode
high-order structure information by propagating embeddings over the graph. The
learned user embeddings with complete historic user clicks capture the users'
long-term interests. We also consider a user's short-term interest using the
recent reading history with an attention based LSTM model. Experimental results
on real-world datasets show that our proposed model significantly outperforms
state-of-the-art methods on news recommendation.

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The categories of this paper are: math
29
The categories of this paper are: funct-an
7
The categories of this paper are: hep-th
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The categories of this paper are: cond-mat
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The categories of this paper are: nucl-th
18
The categories of this paper are: econ
30
The categories of this paper are: q-alg
31
The categories of this paper are: ao-sci
13
The categories of this paper are: quant-ph
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The categories of this paper are: hep-ph
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The categories of this paper are: chao-dyn
28
The categories of this paper are: alg-geom
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The categories of this paper are: hep-lat
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The categories of this paper are: cmp-lg
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The categories of this paper are: physics
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The categories of this paper are: astro-ph