Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Two-Stage Session-based Recommendations with Candidate Rank Embeddings   Recent advances in Session-based recommender systems have gained attention
due to their potential of providing real-time personalized recommendations with
high recall, especially when compared to traditional methods like matrix
factorization and item-based collaborative filtering. Nowadays, two of the most
recent methods are Short-Term Attention/Memory Priority Model for Session-based
Recommendation (STAMP) and Neural Attentive Session-based Recommendation
(NARM). However, when these two methods were applied in the similar-item
recommendation dataset of Zalando (Fashion-Similar), they did not work
out-of-the-box compared to a simple Collaborative-Filtering approach. Aiming
for improving the similar-item recommendation, we propose to concentrate
efforts on enhancing the rank of the few most relevant items from the original
recommendations, by employing the information of the session of the user
encoded by an attention network. The efficacy of this strategy was confirmed
when using a novel Candidate Rank Embedding that encodes the global ranking
information of each candidate in the re-ranking process. Experimental results
in Fashion-Similar show significant improvements over the baseline on Recall
and MRR at 20, as well as improvements in Click Through Rate based on an online
test. Additionally, it is important to point out from the evaluation that was
performed the potential of this method on the next click prediction problem
because when applied to STAMP and NARM, it improves the Recall and MRR at 20 on
two publicly available real-world datasets.

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The categories of this paper are: math
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The categories of this paper are: gr-qc
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The categories of this paper are: mtrl-th
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The categories of this paper are: hep-th
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The categories of this paper are: cmp-lg
22
The categories of this paper are: chao-dyn
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The categories of this paper are: atom-ph
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The categories of this paper are: nucl-th
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The categories of this paper are: acc-phys
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The categories of this paper are: quant-ph
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The categories of this paper are: econ
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The categories of this paper are: math-ph
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The categories of this paper are: stat
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The categories of this paper are: eess
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The categories of this paper are: physics
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The categories of this paper are: cond-mat