Abstract: A data processing method includes obtaining sample data of event execution of a game client, and performing preprocessing on the sample data to obtain a plurality of layers of data combinations. Each layer of the plurality of layers of data combinations corresponds to a target event object in a same target event, different layers correspond to different target event objects in the target event, and the target event objects are event objects on the game client to be executed concurrently. The method also includes performing processing on each layer of data combinations according to a preset processing algorithm, to obtain a processing result of each layer of data combinations, and performing consolidation processing on the processing result to obtain a target instruction. The target instruction is used for instructing the game client to concurrently execute the different target event objects corresponding to the different layers of data combinations.

Abstract: Embodiments of the present disclosure disclose a method and a device for predicting character behaviors of a non-player character in a game.

Abstract: Embodiments of the present disclosure disclose a method and a device for predicting character behaviors of a non-player character in a game.

Abstract: A data processing method includes obtaining sample data of event execution of a game client, and performing preprocessing on the sample data to obtain a plurality of layers of data combinations. Each layer of the plurality of layers of data combinations corresponds to a target event object in a same target event, different layers correspond to different target event objects in the target event, and the target event objects are event objects on the game client to be executed concurrently. The method also includes performing processing on each layer of data combinations according to a preset processing algorithm, to obtain a processing result of each layer of data combinations, and performing consolidation processing on the processing result to obtain a target instruction. The target instruction is used for instructing the game client to concurrently execute the different target event objects corresponding to the different layers of data combinations.

Abstract: A method, an apparatus, and a system for mobile search are provided. The method for mobile search includes: receiving a search request, where the search request carries keyword information to be searched for, and an instant interest model and a long-term interest model acquired by a search application server; calculating a relevance score value of each member engine according to the search request, meta index information of the member engine, the instant interest model, and the long-term interest model; and selecting one or more member engines according to the relevance score value to search for the keyword information. The searching for the keyword information may integrate an instant interest model and a long-term interest model of a user, so as to provide users with personalized and highly accurate search result information that meets demands.

Abstract: Embodiments of the present invention provide an advertisement delivery method, apparatus, and system, which can implement personalized advertising network allocation, so that a selected advertising network meets a preference of a user in real time. The method includes: sending a first message including user information to an advertising platform; receiving a second message sent by the advertising platform, where the second message includes delivery information that is determined by the advertising platform according to the user information; and performing advertisement delivery according to the delivery information. According to the advertisement delivery method, apparatus, and system in the embodiments of the present invention, an advertising network is selected with reference to user information, so that the selected advertising network can meet a preference of a user, thereby implementing personalized advertising network allocation.

Abstract: A method, an apparatus, and a system for mobile search are provided. The method for mobile search includes: receiving a search request, where the search request carries keyword information to be searched for, and an instant interest model and a long-term interest model acquired by a search application server; calculating a relevance score value of each member engine according to the search request, meta index information of the member engine, the instant interest model, and the long-term interest model; and selecting one or more member engines according to the relevance score value to search for the keyword information. The searching for the keyword information may integrate an instant interest model and a long-term interest model of a user, so as to provide users with personalized and highly accurate search result information that meets demands.

Abstract: A recommendation method based on collaborative filtering is provided, which includes the following steps. A target user identifier (ID) is acquired. A user group ID corresponding to the target user ID is searched. A similarity between items is acquired, which is determined according to a user-item rating matrix corresponding to the user group M. An item is recommended to a target user according to the similarity between the items.