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BIG DATA BASED CROSS-DOMAIN RECOMMENDATION METHOD AND APPARATUS

  • US 20190050484A1
  • Filed: 06/20/2016
  • Published: 02/14/2019
  • Est. Priority Date: 12/23/2015
  • Status: Active Grant
First Claim
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1. A big data based cross-domain recommendation method, comprising:

  • modeling a topic separately based on an online input record and an offline behavior record of a user in a specific user set, the user in the specific user set having both the online input record and the offline behavior record;

    determining a transition probability of transitioning from each online input topic to each offline behavior topic according to a topic modeling result; and

    recommending content of an offline behavior to a target user based on the transition probability and an online input record of the target user.

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