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Apparatus and method for distance-based option data object filtering and modification

專利號
US11159908B1
公開日期
2021-10-26
申請人
Groupon, Inc.(US IL Chicago)
發(fā)明人
Emma Sawin; Daniel M. Roarty; Boris Lerner; Amber Roy Chowdhury
IPC分類
H04W4/02; G01S13/46
技術領域
option,data,deal,or,object,associated,in,user,deals,location
地域: IL IL Chicago

摘要

An apparatus, method, and computer program product are provided to filter and modify option data objects and weighted values associated with option data objects through the application of specific rule sets based on the relative density of option data objects within a particularized area. In some example implementations, option data objects and related parameters are parsed to identify locations associated with the option data object and a weighted value, such as a weighted value generated by a predictive model. Based at least in part on the location associated with the option data object, a determined location of a user of a mobile device, and location-specific distance criteria, the weighted value associated with the option data object may be modified to reflect distance-related option election probabilities.

說明書

As shown in block 314, the apparatus 200 is also capable of determining whether the distance associated with the option data object exceeds the predetermined distance parameter. In some example implementations of block 314, the distance dist1, as calculated in accordance with the discussion of FIG. 4, is compared against a region associated with a calculated radius, such as region 408 shown and discussed in connection with FIG. 4. However, in some implementations, additional rules or other limits may be applied to the predetermined distance parameter. For example in areas of low option data object density (such as when deal offers associated with similarly categorized entities are widely spaced) an upper limit may be imposed on the predetermined distance, to prevent the calculated radius for defining an impractically large area. Similarly, in areas of high option data object density (such as areas where there are multiple restaurants located within close proximity of each other), the predetermined distance may be extended to prevent artificially excluding potentially relevant deal offers or other option data objects that are only a short distance away from those within the calculated radius.

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