| 摘要 |
The effectiveness of targeted content delivery can be directly linked to the number and type of known user characteristics. A way of improving targeted content delivery can be to infer unknown user characteristics from known information. The present technology utilizes the type of and frequency of a user's visits to one or more predefined location zones to infer unknown user characteristics. The type of location zone and the frequency of visits to the location zone can be combined with other known user characteristics, such as declared user characteristics, to infer one or more characteristics. Additionally, the user's visits to one or more predefined location zones can be used assign a user to one or more targeted segments and to prioritize the segments assigned to the user. Based on the declared and inferred user characteristics and the segment assignments, targeted content can be selected for delivery to the user.
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