Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: RLIRank: Learning to Rank with Reinforcement Learning for Dynamic Search   To support complex search tasks, where the initial information requirements
are complex or may change during the search, a search engine must adapt the
information delivery as the user's information requirements evolve. To support
this dynamic ranking paradigm effectively, search result ranking must
incorporate both the user feedback received, and the information displayed so
far. To address this problem, we introduce a novel reinforcement learning-based
approach, RLIrank. We first build an adapted reinforcement learning framework
to integrate the key components of the dynamic search. Then, we implement a new
Learning to Rank (LTR) model for each iteration of the dynamic search, using a
recurrent Long Short Term Memory neural network (LSTM), which estimates the
gain for each next result, learning from each previously ranked document. To
incorporate the user's feedback, we develop a word-embedding variation of the
classic Rocchio Algorithm, to help guide the ranking towards the high-value
documents. Those innovations enable RLIrank to outperform the previously
reported methods from the TREC Dynamic Domain Tracks 2017 and exceed all the
methods in 2016 TREC Dynamic Domain after multiple search iterations, advancing
the state of the art for dynamic search.

28
The categories of this paper are: alg-geom
4
The categories of this paper are: cond-mat
23
The categories of this paper are: solv-int
33
The categories of this paper are: plasm-ph
6
The categories of this paper are: astro-ph
14
The categories of this paper are: math-ph
21
The categories of this paper are: adap-org
34
The categories of this paper are: chem-ph
26
The categories of this paper are: bayes-an
29
The categories of this paper are: funct-an
9
The categories of this paper are: nlin
19
The categories of this paper are: eess
11
The categories of this paper are: hep-lat
22
The categories of this paper are: chao-dyn
35
The categories of this paper are: mtrl-th
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The categories of this paper are: comp-gas