Zheng et al., 2021 - Google Patents

Incorporating price into recommendation with graph convolutional networks

Zheng et al., 2021

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Document ID
9697659671666020437
Author
Zheng Y
Gao C
He X
Jin D
Li Y
Publication year
Publication venue
IEEE Transactions on Knowledge and Data Engineering

External Links

Snippet

In recent years, much research effort on recommendation has been devoted to mining user behaviors, ie, collaborative filtering, along with the general information which describes users or items, eg, textual attributes, categorical demographics, product images, and so on …
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    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30861—Retrieval from the Internet, e.g. browsers
    • G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
    • 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
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    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
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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
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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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    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes

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