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Hoiles et al., 2020 - Google Patents

Rationally inattentive inverse reinforcement learning explains youtube commenting behavior

Hoiles et al., 2020

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Document ID
11256916790779940738
Author
Hoiles W
Krishnamurthy V
Pattanayak K
Publication year
Publication venue
Journal of Machine Learning Research

External Links

Snippet

We consider a novel application of inverse reinforcement learning with behavioral economics constraints to model, learn and predict the commenting behavior of YouTube viewers. Each group of users is modeled as a rationally inattentive Bayesian agent which …
Continue reading at www.jmlr.org (PDF) (other versions)

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    • G06Q30/00Commerce, e.g. shopping or e-commerce
    • G06Q30/02Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
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    • G06Q30/00Commerce, e.g. shopping or e-commerce
    • G06Q30/02Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
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    • G06Q30/00Commerce, e.g. shopping or e-commerce
    • G06Q30/02Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
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    • G06Q30/00Commerce, e.g. shopping or e-commerce
    • G06Q30/02Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
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    • G06Q10/00Administration; Management
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    • G06Q10/063Operations research or analysis
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    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
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    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes

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