Abstract: A search method, a terminal and a server are provided. The server returns a similar image (namely, a second image) of a first image to the terminal. When displaying the second image, the terminal further displays controls of a plurality of attributes corresponding to the second image. When the terminal detects that a user operates a first control corresponding to the second image on an interface, the terminal triggers the server to obtain first attribute information of the second image, where the first attribute information corresponds to the first control.

Abstract: A method for displaying an associated term includes obtaining a search term entered in a search bar; determining an associated term corresponding to the search term; determining an application corresponding to the associated term; and displaying the associated term and an identifier corresponding to the associated term, where the identifier is used to open the application corresponding to the associated term corresponding to the identifier. The method for displaying the associated term may facilitate interaction between a user and another application on the terminal device when the user performs searching in a search engine of the terminal device.

Abstract: When sharing a picture with another user or device, an intelligent terminal like a mobile phone or a tablet computer may generate one or more photo bubbles based on image content in the to-be-shared picture. The bubbles carry information associated with the image content of the picture. The associated information is, for example, an introduction to the image content, another picture or video or news information that includes the image content, source information of the picture, a travel scheme generated based on a geographical location in the picture and a location in which an electronic device is located, and picture-related information entered by a user.

Abstract: A search method, a terminal and a server are provided. The server returns a similar image (namely, a second image) of a first image to the terminal. When displaying the second image, the terminal further displays controls of a plurality of attributes corresponding to the second image. When the terminal detects that a user operates a first control corresponding to the second image on an interface, the terminal triggers the server to obtain first attribute information of the second image, where the first attribute information corresponds to the first control.

Abstract: A method for displaying an associated term includes obtaining a search term entered in a search bar; determining an associated term corresponding to the search term; determining an application corresponding to the associated term; and displaying the associated term and an identifier corresponding to the associated term, where the identifier is used to open the application corresponding to the associated term corresponding to the identifier. The method for displaying the associated term may facilitate interaction between a user and another application on the terminal device when the user performs searching in a search engine of the terminal device.

Abstract: A system including a server, a first terminal and a second terminal, where the server is configured to: send video content to the first terminal and the second terminal, respectively, where the video content includes a first hot clip and a second hot clip; send a first tag of the first hot clip to the first terminal; and send a second tag of the second hot clip to the second terminal; the first terminal is configured to display the first tag on a play time axis of the video content, where the first tag is located in a first location of the play time axis; and the second terminal is configured to display the second tag on the play time axis of the video content, where the second tag is located in a second location of the play time axis.

Abstract: A system including a server, a first terminal and a second terminal, where the server is configured to: send video content to the first terminal and the second terminal, respectively, where the video content includes a first hot clip and a second hot clip; send a first tag of the first hot clip to the first terminal; and send a second tag of the second hot clip to the second terminal; the first terminal is configured to display the first tag on a play time axis of the video content, where the first tag is located in a first location of the play time axis; and the second terminal is configured to display the second tag on the play time axis of the video content, where the second tag is located in a second location of the play time axis.

Abstract: A data processing method, a related device and a system are disclosed. In an embodiment, a data processing method includes generating, by a client, a data digest for a stored data set, and sending the data digest to a server, wherein the data digest is used to trigger the server to determine, according to the data digest, feedback information for the client, receiving, by the client, the feedback information sent by the server, when the feedback information comprises a target data selection policy and a target policy parameter, determining, by the client, a data subset from the data set according to the target data selection policy and the target policy parameter, wherein the target policy parameter is used to limit a quantity of pieces of data in the data subset, and sending, by the client, the data subset to the server.

Abstract: A tariff data determining method and apparatus are disclosed. The method includes: obtaining a call detail record set, wherein each call detail record includes a charging condition, a charging unit and a fee deduction that are under the charging condition; grouping a plurality of call detail records to obtain a call detail record group, wherein a same value corresponding to a charging unit in the call detail record group has a correspondence with a unique fee value corresponding to a fee deduction; analyzing the call detail record group to obtain a data feature; selecting a target tariff model corresponding to the data feature; determining a parameter value corresponding to each tariff parameter in the target tariff model; and determining tariff data based on the parameter value, the target tariff model, and the charging condition.

Abstract: A method and an apparatus for data processing in data modeling, where the method includes performing, according to a data transformation function corresponding to a preset data processing category identifier, data transformation on a data column corresponding to each characteristic in original data in order to generate a corresponding extended characteristic column, combining extended characteristic columns corresponding to all the characteristics in the original data in order to generate an extended characteristic set, determining a correlation coefficient of each characteristic in the extended characteristic set, selecting a characteristic whose correlation coefficient satisfies a specified condition as an important characteristic, and obtaining, by screening from the extended characteristic set, a data column corresponding to the important characteristic.

Abstract: A data mining method and apparatus where the method includes determining multiple execution steps of a data mining process, acquiring a correspondence between a physical resource required by each execution step in a running process and a physical resource occupied by input data of the data mining process, determining a node for executing each execution step, determining, according to a maximum amount of data of input data that can be processed by the node for executing each step, a maximum amount of data of input data that can be processed by the distributed system, and processing to-be-mined data in accordance with the data mining process according to the maximum amount of data of the input data that can be processed by the distributed system. The input data is accurately and effectively limited such that normal running of the system can be ensured.

Abstract: A tariff data determining method and apparatus are disclosed. The method includes: obtaining a call detail record set, wherein each call detail record includes a charging condition, a charging unit and a fee deduction that are under the charging condition; grouping a plurality of call detail records to obtain a call detail record group, wherein a same value corresponding to a charging unit in the call detail record group has a correspondence with a unique fee value corresponding to a fee deduction; analyzing the call detail record group to obtain a data feature; selecting a target tariff model corresponding to the data feature; determining a parameter value corresponding to each tariff parameter in the target tariff model; and determining tariff data based on the parameter value, the target tariff model, and the charging condition.

Abstract: A data processing method, a related device and a system are disclosed. In an embodiment, a data processing method includes generating, by a client, a data digest for a stored data set, and sending the data digest to a server, wherein the data digest is used to trigger the server to determine, according to the data digest, feedback information for the client, receiving, by the client, the feedback information sent by the server, when the feedback information comprises a target data selection policy and a target policy parameter, determining, by the client, a data subset from the data set according to the target data selection policy and the target policy parameter, wherein the target policy parameter is used to limit a quantity of pieces of data in the data subset, and sending, by the client, the data subset to the server.

Abstract: A data mining method and a node are provided. The method includes: obtaining predicted execution time of each computing subnode in a current round of iteration of a task, and allocating a corresponding volume of task data to the computing subnode; after the current round of iteration is executed, collecting execution status information of each computing subnode in the current round of iteration, and accordingly determining whether the task data volume of each computing subnode needs to be adjusted in a next round of iteration; and performing the next round of iteration according to the adjusted task data volume. Therefore, a corresponding volume of task data can be allocated according to a capability of each computing subnode. In this way, some unnecessary load balancing processes can be avoided, network consumption can be reduced, and data mining performance of a system can be improved.

Abstract: A method and an apparatus for data processing in data modeling, where the method includes performing, according to a data transformation function corresponding to a preset data processing category identifier, data transformation on a data column corresponding to each characteristic in original data in order to generate a corresponding extended characteristic column, combining extended characteristic columns corresponding to all the characteristics in the original data in order to generate an extended characteristic set, determining a correlation coefficient of each characteristic in the extended characteristic set, selecting a characteristic whose correlation coefficient satisfies a specified condition as an important characteristic, and obtaining, by screening from the extended characteristic set, a data column corresponding to the important characteristic.

Abstract: A data mining method and a node are provided. The method includes: obtaining predicted execution time of each computing subnode in a current round of iteration of a task, and allocating a corresponding volume of task data to the computing subnode; after the current round of iteration is executed, collecting execution status information of each computing subnode in the current round of iteration, and accordingly determining whether the task data volume of each computing subnode needs to be adjusted in a next round of iteration; and performing the next round of iteration according to the adjusted task data volume. Therefore, a corresponding volume of task data can be allocated according to a capability of each computing subnode. In this way, some unnecessary load balancing processes can be avoided, network consumption can be reduced, and data mining performance of a system can be improved.

Abstract: A data mining method and apparatus where the method includes determining multiple execution steps of a data mining process, acquiring a correspondence between a physical resource required by each execution step in a running process and a physical resource occupied by input data of the data mining process, determining a node for executing each execution step, determining, according to a maximum amount of data of input data that can be processed by the node for executing each step, a maximum amount of data of input data that can be processed by the distributed system, and processing to-be-mined data in accordance with the data mining process according to the maximum amount of data of the input data that can be processed by the distributed system. The input data is accurately and effectively limited such that normal running of the system can be ensured.

Abstract: A system and method for managing media contents are disclosed. The system includes: a text classifier, adapted to classify subtitle information according to defined subjects, and obtain content clips of different subjects; and a media content marking unit, adapted to mark the time of playing each content clip of a different subject after contents are classified by the text classifier, obtain the content clips which have specific time information and different subjects, match the content clips with concepts in an ontology library, and mark the content clips through terms defined in the ontology library. Therefore, the media contents are described through standard terms, which is conducive to unification of the content description information and makes it possible to retrieve the media contents.

Abstract: A system for generating communication subscriber description information includes an information labeling unit adapted to label original information of a specific communication subscriber, and a subscriber information generating unit adapted to generate communication subscriber description information according to communication records. A method for generating communication subscriber description information applies Ontology in the communication field, so as to obtain subscriber demand information for generating communication subscriber description information by analyzing actual communication records of the subscriber. Moreover, the generated communication subscriber description information truly reflects characteristics and requirements of the communication subscriber, thus ensuring the accuracy of the generated communication subscriber description information. The present invention is applicable to communication behaviors such as voice communication, data communication, and short messages of a subscriber.

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.