Abstract: The present application discloses a method and apparatus for guiding a voice-packet recording function, a device and a computer storage medium, and relates to the field of big data. An implementation includes identifying a target user with a voice-packet recording demand using historical map usage behaviors of map users; and identifying a scenario where the target user uses a client terminal, and if the scenario conforms to a voice-packet recording scenario, sending first guidance information of the voice-packet recording function to the client terminal. With the present application, accurate guidance of the voice-packet recording function is realized, and excessive disturbance in the user is reduced.

Abstract: The present disclosure provides a speech interaction method, apparatus, device and computer storage medium and relates to the field of artificial intelligence. A specific implementation solution is as follows: performing speech recognition and demand analysis for a first speech instruction input by a user; performing demand prediction for the first speech instruction if the demand analysis fails, to obtain at least one demand expression; returning at least one of the demand expression to the user in a form of a question; performing a service response with a demand analysis result corresponding to the demand expression confirmed by the user, if a second speech instruction confirming at least one of the demand expression is received from the user. The present disclosure can efficiently improve the user's interaction efficiency and enhance the user's experience.

Abstract: An information search method is provided. The method includes: searching for webpages related to a search request through a search engine; extracting respective texts related to the search request from respective webpages and splicing the texts to obtain a spliced text; obtaining a text segment from the spliced text; and sending the obtained text segment to the search engine, to display the obtained text segment in an information search result through the search engine. The present disclosure can bring great advantages to the search engine in terms of user experience and interaction, and can satisfy user requirements for a function of an intelligent question and answer. Through present disclosure, it is beneficial to directly presenting a short text with higher relevance to the search request to the user, thereby saving time in screening information for the user.

Abstract: The present disclosure discloses a method and apparatus for generating an image. A specific embodiment of the method comprises: acquiring at least two frames of facial images extracted from a target video; and inputting the at least two frames of facial images into a pre-trained generative model to generate a single facial image. The generative model updates a model parameter using a loss function in a training process, and the loss function is determined based on a probability of the single facial generative image being a real facial image and a similarity between the single facial generative image and a standard facial image. According to this embodiment, authenticity of the single facial image generated by the generative model may be enhanced, and then a quality of a facial image obtained based on the video is improved.

Abstract: The present disclosure provides a method and apparatus for building a database for retrieval. An implementation of the method comprises: acquiring a data set, and dividing the data set into a first data set and a second data set; clustering the data in the first data set, to obtain at least one first-level cluster center; clustering the data in the first data set based on the first-level cluster center, to obtain corresponding at least one second-level cluster center; obtaining a codebook corresponding to the first data set based on residuals between the data in the first data set and the first-level cluster center and residuals between the data in the first data set and the second-level cluster center; and training the second data set based on the codebook corresponding to the first data set, to obtain a codebook corresponding to the data set.

Abstract: A method of testing a performance, an electronic device and a computer-readable medium, all of which relate to a field of a computer technology, such as cloud computing and cloud platform technology. The method includes: determining a performance test type of an applet performance to be tested and a participant data interface participating in an applet performance test; transmitting, through the participant data interface, a test indication information corresponding to the performance test type to a terminal device requiring the applet performance test; receiving, from the terminal device, applet running data obtained by performing a data acquisition according to the test indication information; and performing an applet performance analysis according to the applet running data, so as to obtain corresponding applet performance data.

Abstract: A method for retrieving a multi-turn dialogue, a storage medium, and an electronic device are provided. The detailed implementation includes: obtaining present question information and context information of the present question information; obtaining a plurality of pieces of candidate reply information of the present question information; generating a context feature based on the context information, and generating a plurality of candidate reply features based on the plurality of pieces of candidate reply information; obtaining consistency information between the context feature and each of the plurality of candidate reply features; selecting a piece of candidate reply information from the plurality of pieces of candidate reply information for replying based on the consistency information between the context feature and each of the plurality of candidate reply features.

Abstract: Provided is a data storage method. The method includes bucketing tag data of all users based on user identifiers to obtain bucket data of each user, where tag data of each user is distributed in different tag tables; and storing bucket data of a same user in a same storage module.

Abstract: Provided are a sampling object determination method and apparatus, an electronic device, and a computer-readable storage medium. The sampling object determination method includes: determining a sampling number through a sampling proportion and a total number of users of an application; determining at least one version in order of versions of the application from high to low, where a sum of a number of users of the at least one version is greater than or equal to the sampling number; and determining the sampling number of users in the users of the at least one version as sampling objects.

Abstract: The present disclosure provides a method and an apparatus for managing navigation broadcast, and a device, related to an Intelligent transportation technology field. A specific implementation solution includes: obtaining a geographical identifier of a user; obtaining a statement-conversion template set corresponding to the geographical identifier based on the geographical identifier of the user; converting a standard navigation broadcast statement based on the statement-conversion template set to generate a geographical navigation broadcast statement; and performing navigation broadcast based on the geographical navigation broadcast statement. Thereby, the navigation broadcasts are matched with respective regions, users in different regions are provided with diversified and personalized navigation broadcasts.

Abstract: Embodiments of the present disclosure provide a method and an apparatus for generating a simulation scene. The method includes: acquiring scene parameters of a benchmark scene, where a dimensionality of the scene parameters of the benchmark scene is M; inputting the scene parameters of the benchmark scene into an encoder that is trained, and acquiring encoding parameters according to an output result of the encoder, where a dimensionality of the encoding parameters is N, and N<M; adjusting the encoding parameters to obtain adjusted encoding parameters, and inputting respectively the adjusted encoding parameters into a decoder that is trained; and generating a simulation scene according to the scene parameters of the reconstructed scene that are output by the decoder. According to the method, generating massive simulation scenes similar to the benchmark scene based on the benchmark scene can be achieved, which meets the diversity requirements for the simulation scenes.

Abstract: A method and an apparatus for processing a transaction in a blockchain network, a related device, and storage medium are disclosed. The method includes the following. A transaction submission request in a form of readable data field is obtained, and the data field in the transaction submission request is processed. If a target field exists during processing the data field, a virtual machine is called to execute logical codes corresponding to the target field. According to a code execution result from the virtual machine and a processing result of the data field, a processing result of the transaction submission request is determined.

Abstract: Embodiments of the present disclosure disclose a method and an apparatus for pushing information, a method and an apparatus for controlling presentation of content. The method for pushing information includes: determining vehicle information of a communicatively connected autonomous vehicle, the vehicle information including autonomous vehicle driving route information; selecting to-be-played content matching the vehicle information from a pre-stored set of to-be-played contents according to the vehicle information, and storing the elected to-be-played content to the sub-set of to-be-played contents; and transmitting the sub-set of to-be-played contents to the autonomous vehicle so that the autonomous vehicle plays the to-be-played content in the sub-set of to-be-played contents. According to the embodiment, targeted to-be-played content can be sent to the autonomous vehicle.

Abstract: The present application discloses a method for building a ranking model, a query auto-completion method and corresponding apparatuses, which relates to the technical field of intelligent search. An implementation includes: acquiring from a POI query log a query prefix input when a user selects a POI from query completion suggestions, POIs in the query completion suggestions corresponding to the query prefix and the POI selected by the user in the query completion suggestions; constructing positive and negative example pairs using the POI selected by the user and the POIs not selected by the user in the query completion suggestions corresponding to the same query prefix; and performing a training operation using the query prefix and the positive and negative example pairs corresponding to the query prefix to obtain the ranking model.

Abstract: A scheduling method and apparatus, a device and a storage medium, which relate to fields of big data, cloud computation, artificial intelligence, intelligent authentication and intelligent scheduling. A specific implementation includes: acquiring an authentication request that indicates to-be-authenticated information; determining an authentication strategy group required by an authentication processing procedure of the to-be-authenticated information, wherein the authentication strategy group is determined based on an authentication dependency relationship between authentication strategies and comprises at least two authentication strategies; and calling the authentication strategies in the authentication strategy group in parallel, and performing authentication processing on the to-be-authenticated information in parallel, to obtain an authentication processing result corresponding to the authentication strategy group.

Abstract: Provided are a data processing method and apparatus, a device, and a storage medium, which relate to the technical field of cloud computing and cloud platform. The specific implementation scheme includes: determining, according to logic information of first data acquired from an ordering tool, first physical addresses, where the first physical addresses are physical addresses of data shards in a physical data group associated with the first data; and sending the first physical addresses to the ordering tool to cause the ordering tool to order the first data according to the first physical addresses.

Abstract: The present disclosure provides a distributed storage method, a computer device, and a storage medium. The method includes: grouping a file to be stored to form a plurality of data packets; dividing all the data packets into at least three data fragments, in which, each data fragment includes a part of the plurality of data packets, and each data packet is added to at least two data fragments; storing each data fragment in a distributed storage node to perform distributed storage; recording a corresponding relationship between the data fragments and the data packets and a corresponding relationship between storage nodes and the data fragments; and deleting the file to be stored in local.

Abstract: The present disclosure provides a search processing method and apparatus based on clipboard data. The method includes: in response to monitoring that the first data obtained from a search box comes from a clipboard, performing an identification process on first data in the search box to obtain a plurality of second data included in the first data and a type of each second data; determining search data corresponding respectively to the plurality of second data according to the type of each second data; displaying the search data corresponding respectively to the plurality of second data and determining target search data according to operations of a user on the search data corresponding respectively to the plurality of second data; and obtaining a search result according to the target search data.

Abstract: A method, an apparatus, an electronic device and a storage medium for training a user click model, which relate to the artificial intelligence field, are disclosed. is the method may include: collecting a plurality of pieces of behavior data from a log database of users on a network, each piece of behavior data including a user's feedback information regarding resources in the network within a preset time period; generating a plurality of resource access features respectively corresponding to the plurality of pieces of behavior data, based on a pre-created header resource library and the plurality of pieces of behavior data; and training the user click model with the plurality of resource access features. The technical solution provides a lossless modeling manner which, compared to the existing modeling manners, may effectively optimize the precision and improve the accuracy of the user click model.

Abstract: The present disclosure provides a method of retrieving a geographic location as well as a method and an apparatus of establishing a similarity model including: acquiring training data from a historical click log, wherein the training data contains a search term, a clicked geographic location associated with the search term as a positive sample, and a non-clicked geographic location as a negative sample; expanding the positive sample and the negative sample based on a co-occurrence relationship between geographic locations by using a historical browsing log; and determining a vector representation of the search term by using the first neural network, and determining a vector representation of the positive sample expanded and a vector representation of the negative sample expanded, by using the second neural network; and training the first neural network and the second neural network so as to maximum a difference between a first similarity and a second similarity.