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Zhu et al., 2023 - Google Patents

Modeling the generative mechanism of personalized preferences from latent groups: A hierarchical nonparametric Bayesian method

Zhu et al., 2023

Document ID
8014317710038534488
Author
Zhu T
Bi P
Wang M
Publication year
Publication venue
Knowledge-Based Systems

External Links

Snippet

Personalization is among the most prominent marketing strategies for facing online and offline retailers. The basis for personalization is learning the customer's personalized preferences, but the sparsity of customer behavioral data makes it difficult to calculate …
Continue reading at www.sciencedirect.com (other versions)

Classifications

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    • G06Q30/00—Commerce, e.g. shopping or e-commerce
    • G06Q30/02—Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
    • G06Q30/0202—Market predictions or demand forecasting
    • G06Q30/0204—Market segmentation
    • G06Q30/0205—Location or geographical consideration
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    • G06Q30/00—Commerce, e.g. shopping or e-commerce
    • G06Q30/02—Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
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    • G06Q30/00—Commerce, e.g. shopping or e-commerce
    • G06Q30/02—Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
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    • G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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    • G06Q30/00—Commerce, e.g. shopping or e-commerce
    • G06Q30/02—Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
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