Cross-online vertical entity recommendations
AssigneeMicrosoft Technology Licensing, LLC
InventorsWanyan Xie, Shen Huang, Xiaonan Duan, Viktoras Truchanovicius, Suhai Liu
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AssigneeMicrosoft Technology Licensing, LLC
InventorsWanyan Xie, Shen Huang, Xiaonan Duan, Viktoras Truchanovicius, Suhai Liu
Estimating the term…
A historical online user behavior-based approach is used to make a recommendation of a cross-online service vertical entity for a primary online service vertical entity with which a user is currently interacting online. The recommendation is made based on the similarity of historical online user behavior between the vertical entities. To do this, historical online user behavior of each of the vertical entities is represented as a respective vector. Each dimension of a vector represents a historical level of interaction between a separate user or a separate group of related users and the vertical entity represented by the vector. A similarity measure is used to measure the similarity between the vectors for the vertical entities. The recommendation of the cross-online service vertical entity is then made for the primary online service vertical entity based on the extent of the similarity between the vectors according to a similarity measure.
A method comprising:
One or more non-transitory computer-readable media storing one or more programs having instructions for execution by one or more processors and configured for:
A computing system comprising:
Dependencies are inferred from the claim text.