Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: The Continuous Cold Start Problem in e-Commerce Recommender Systems   Many e-commerce websites use recommender systems to recommend items to users.
When a user or item is new, the system may fail because not enough information
is available on this user or item. Various solutions to this `cold-start
problem' have been proposed in the literature. However, many real-life
e-commerce applications suffer from an aggravated, recurring version of
cold-start even for known users or items, since many users visit the website
rarely, change their interests over time, or exhibit different personas. This
paper exposes the `Continuous Cold Start' (CoCoS) problem and its consequences
for content- and context-based recommendation from the viewpoint of typical
e-commerce applications, illustrated with examples from a major travel
recommendation website, Booking.com.

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The categories of this paper are: quant-ph
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The categories of this paper are: q-fin
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The categories of this paper are: chem-ph
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The categories of this paper are: eess
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The categories of this paper are: nlin
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The categories of this paper are: mtrl-th
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The categories of this paper are: hep-ph
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The categories of this paper are: atom-ph
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The categories of this paper are: solv-int
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The categories of this paper are: stat
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The categories of this paper are: hep-th
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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: physics
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The categories of this paper are: patt-sol
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The categories of this paper are: funct-an