Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: RevCore: Review-augmented Conversational Recommendation   Existing conversational recommendation (CR) systems usually suffer from
insufficient item information when conducted on short dialogue history and
unfamiliar items. Incorporating external information (e.g., reviews) is a
potential solution to alleviate this problem. Given that reviews often provide
a rich and detailed user experience on different interests, they are potential
ideal resources for providing high-quality recommendations within an
informative conversation. In this paper, we design a novel end-to-end
framework, namely, Review-augmented Conversational Recommender (RevCore), where
reviews are seamlessly incorporated to enrich item information and assist in
generating both coherent and informative responses. In detail, we extract
sentiment-consistent reviews, perform review-enriched and entity-based
recommendations for item suggestions, as well as use a review-attentive
encoder-decoder for response generation. Experimental results demonstrate the
superiority of our approach in yielding better performance on both
recommendation and conversation responding.

8
The categories of this paper are: hep-ex
28
The categories of this paper are: alg-geom
13
The categories of this paper are: quant-ph
20
The categories of this paper are: acc-phys
15
The categories of this paper are: nucl-ex
2
The categories of this paper are: math
31
The categories of this paper are: ao-sci
3
The categories of this paper are: physics
6
The categories of this paper are: astro-ph
11
The categories of this paper are: hep-lat
16
The categories of this paper are: stat
25
The categories of this paper are: patt-sol
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The categories of this paper are: chao-dyn
24
The categories of this paper are: dg-ga
36
The categories of this paper are: cmp-lg
27
The categories of this paper are: comp-gas