Tencent Technology (shenzhen) Company Limited

Tencent Technology Company Limited

Dongbo Huang

Hao Huang

Hui Sheng

Ge Chen

Zhenxiao Li

Hongyu Zhao

Yonghui Guo

Chaojian Zhou

Xiaoyu Wang

This application relates to a content push method performed by a computer device, including: determining candidate mixed content in response to a content push request from an object, the mixed content including first-type content and second-type content; determining a first priority push probability of the first-type content based on the object attribute information, the overall content feature, and the dynamic resource input feature; analyzing a priority push relationship between the content features of all pieces of second-type content, to obtain an internal priority push feature, and performing inter-type priority push relationship analysis based on the object attribute information, the internal priority push feature, and the dynamic resource input feature, to determine second priority push probabilities respectively corresponding to all pieces of second-type content; and selecting content from the mixed content for push based on the first priority push probability and the second priority push probabilities.

Content push method and device, apparatus, and medium

This application discloses a method for implementing recommendation information in a video performed at a computer device. The method includes: acquiring a target video; identifying a video segment within the target video according to a scene change status of video frames in the target video, the video segment including a target video frame; performing image recognition on the target video frame to obtain a region corresponding to an object in the target video frame that is compatible with the recommendation information; and implanting the recommendation information in the region of the target video frame. Image recognition processing is performed on the target video frame to obtain a video segment including the target video frame, so as to determine the implantation location in the target video frame on the basis of the object of the target type in the target video frame.

Method, apparatus, device, and storage medium for determining implantation location of recommendation information

A method for detecting an information insertion region is provided. In the method, a video is obtained. The video is segmented to obtain video fragments, each of the video fragments including a subset of image frames in the video. A target frame is obtained in the video fragments. Objects in the target frame are identified and segmented, to obtain labeling information corresponding to the objects. A target object is determined according to the labeling information. Clustering is performed on the target object, to obtain a plurality of candidate to-be-inserted regions. A target candidate to-be-inserted region is determined from the candidate to-be-inserted regions. Further, maximum rectangle searching is performed in the target candidate to-be-inserted region to obtain a target to-be-inserted region in which an image is to be inserted.

Method and apparatus for detecting information insertion region, electronic device, and storage medium

This application discloses a method for determining an implantation location of recommendation information performed at a computer device. The method includes: acquiring a target video; acquiring, according to a scene change status of the target video, a target video frame being used for location detection; performing image recognition on the target video frame to obtain masking information of the target video frame including a first region of an object of a target type in the target video frame; and determining an implantation location of recommendation information in the target video frame based on the first region. Image recognition processing is performed on the target video frame to obtain the masking information of the target video frame, so as to determine the implantation location in the target video frame on the basis of the first region corresponding to the object of the target type in the target video frame.

A method and a system for processing network media information are provided. The method includes: collecting historical distribution effect data of network media information; performing attribute improvement processing on the historical distribution effect data by using population attribute data and network media information management data to obtain characteristic attribute data; constructing an effect parameter estimation model corresponding to each attribute of the characteristic attribute data, and training the effect parameter estimation model; estimating an effect parameter value of each audience for target network media information according to the effect parameter estimation model; and selecting an audience whose estimated effect parameter value is greater than or equal to a specified threshold value to form an audience population package to be extracted. The present invention can improve efficiency of extraction, reduce labor cost, and improve precision of distribution of network media information in an audience population package.

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Shenzhen, China

Dongbo Huang