Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Personalizing Search Results Using Hierarchical RNN with Query-aware
  Attention   Search results personalization has become an effective way to improve the
quality of search engines. Previous studies extracted information such as past
clicks, user topical interests, query click entropy and so on to tailor the
original ranking. However, few studies have taken into account the sequential
information underlying previous queries and sessions. Intuitively, the order of
issued queries is important in inferring the real user interests. And more
recent sessions should provide more reliable personal signals than older
sessions. In addition, the previous search history and user behaviors should
influence the personalization of the current query depending on their
relatedness. To implement these intuitions, in this paper we employ a
hierarchical recurrent neural network to exploit such sequential information
and automatically generate user profile from historical data. We propose a
query-aware attention model to generate a dynamic user profile based on the
input query. Significant improvement is observed in the experiment with data
from a commercial search engine when compared with several traditional
personalization models. Our analysis reveals that the attention model is able
to attribute higher weights to more related past sessions after fine training.

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The categories of this paper are: adap-org
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The categories of this paper are: bayes-an
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The categories of this paper are: funct-an
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The categories of this paper are: eess
5
The categories of this paper are: gr-qc
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The categories of this paper are: acc-phys
32
The categories of this paper are: atom-ph
0
The categories of this paper are: hep-ph
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The categories of this paper are: nucl-ex
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The categories of this paper are: quant-ph
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The categories of this paper are: math-ph
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The categories of this paper are: q-bio
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The categories of this paper are: hep-ex
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The categories of this paper are: solv-int
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The categories of this paper are: physics
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The categories of this paper are: plasm-ph