Beijing Didi Infinity Technology and Development Co., Ltd.

Zang Li

Wenjun Yang

Zhihua Chang

Hongbo Ling

Lifeng Cao

Fan Yang

Yuexiang Liu

Xiang Xu

Shi Cheng

Yangbiao Liu

Sixu Li

Junqiang Fu

Xianyue Zeng

The present disclosure relates to systems and methods for providing Online-to-Offline services. The method may include obtain first information associated with a first service request having been allocated to a service provider and having been accepted by the service provider. The method may also include obtaining second information associated with a second service request initiated via an application executed by a second requester terminal. The method may also include determining a matching parameter based on the first information and the second information by using at least one trained matching model and determining whether the matching parameter is larger than a threshold. The method may also include transmitting data associated with the second service request based on a result of the determination that the matching parameter is larger than the threshold.

Systems and methods for allocating service requests

A method for user mining is provided. The method may include obtaining a plurality of first feature vectors of a plurality of positive samples and a plurality of second feature vectors of a plurality of negative samples, and generating a plurality of expanded first feature vectors based on the plurality of first feature vectors and second feature vectors and expanded second feature vectors. Each first feature vector may include first feature information that describes a plurality of features of a corresponding positive sample. Each second feature vector may include second feature information that describes a plurality of features of a corresponding negative sample. The method may further include determining one or more core features related to the plurality of positive samples among the plurality of features corresponding to the plurality of first feature vectors based on a trained binary model.

Systems and methods for user analysis

A method for issuing coupons to a plurality of target users is provided. For each of the plurality of target users, the method may include determining a predicted value of a group indicator of the target user in a predetermined period. The method may further include grouping the plurality of target users using a plurality of grouping strategies. For each of the grouping strategies, the method may further include determining a candidate coupon issuing strategy. For each of the candidate coupon issuing strategies, the method may further include obtaining user feature information of one or more target users in each group corresponding to the candidate coupon issuing strategy. For each of the candidate coupon issuing strategies, the method may further include predicting an ROI of the candidate coupon issuing strategy based on an RO prediction model and the corresponding user feature information.

Systems and methods for coupon issuing

A method for querying data is provided. The method may include determining a characteristic value of a selected feature dimension among feature values of the selected feature dimension of plurality of entities and establishing a corresponding relationship between the characteristic value and the selected feature dimension. The method may also include caching the corresponding feature value into a cache memory for each entity having a feature value of the selected feature dimension being unequal to the characteristic value, and leaving the corresponding feature value without caching for each entity having a feature value of the selected feature dimension being equal to the characteristic value. The method may further include performing a first search in the cache memory to produce a first search result in response to a query request related to the plurality of entities, and generating a query result based on the corresponding relationship and the first search result.

Systems and methods for data processing

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Beijing, China

Zang Li