Abstract: A method, an apparatus, a device and a medium for generating a recruitment position description text are provided. The method may include: obtaining the original text related to the target position; and generating a target recruitment position description text corresponding to the target position based on the original text and a pre-trained deep neural network model.

Abstract: A method for determining a main chain of a blockchain, a device, and a storage medium. The method comprises: determining, on the basis of a detection result that it is detected that a blockchain has at least two fork chains, weights of blocks in the fork chains (110); determining, on the basis of the weights of the blocks comprised in the fork chains, the weights of the fork chains (120); and determining a main chain from the fork chains on the basis of the weights of the fork chains, and rolling back the fork chains except for the main chain (130).

Abstract: The present disclosure provides a method and an apparatus of verifying information based on a voice interaction, a device, and a computer storage medium, and relates to a field of artificial intelligence technology. The present disclosure is implemented to include: acquiring a text of a voice response of a user to a voice inquiry, wherein the voice inquiry is provided for verifying information with the user; and inputting each character of the text of the voice response and a phonetic information associated with the each character to a pre-trained semantic analysis model so as to obtain an user intention information and/or an information of an object to be verified output by the pre-trained semantic analysis model, wherein the user intention information includes a confirmation, a denial, an answer, or a question.

Abstract: A method and apparatus for image processing, an electronic device, and a computer readable storage medium are provided. The method may include acquiring description information of a reference image matching a target image from a reference image information database. The method further includes determining at least one entity from the description information of the reference image, the at least one entity identifying an object associated with the reference image. In addition, the method may further include generating description information of the target image based on the at least one entity.

Abstract: According to an embodiment of the present application, there is provided an image verification method and apparatus, an electronic device and a computer-readable storage medium, which can be applied to the technical field of network security and the field of image processing and recognition. The image verification method includes: displaying a first image portion and a second image portion, the first image portion being rotatable with respect to the second image portion, the first image portion and the second image portion being obtained by cropping an original image and rotating the cropped first image portion with respect to the second image portion; receiving an operation for rotating the first image portion; rotating the first image portion based on the operation; and determining whether an angle of the first image portion relative to the second image portion matches with the original image, in response to determining that the operation is ended.

Abstract: A method of training a ranking model, and an electronic device, which relate to technical fields of natural language processing and intelligent search. The method includes: in training the ranking model, firstly acquiring a plurality of first sample pairs and respective label information; for each first sample pair, inputting a first search text, a first title text of a first candidate text, and a first target summary corresponding to the first candidate text into an initial language model to obtain a second relevance score corresponding to the each first sample pair; then using the first target summary to replace the first candidate text to participate in the training of the ranking model, and updating at least one network parameter of the initial language model according to the label information and the second relevance score corresponding to each first sample pair.

Abstract: A method, device and a computer-readable storage medium for optimizing simulation data are provided. The method for optimizing simulation data can include: inputting the simulation data generated by a simulator to a first generative adversarial network comprising a migration model; and optimizing the simulation data generated by the simulator with the migration model to generate optimized simulation data. In an embodiment of the present application, the simulation data is optimized by the generative adversarial network to enable the simulation data closer to the real data in representation. Therefore, the quality and accuracy of the simulation data can be ensured, the validity and reliability of the simulation data can be improved at least to some extent, and the cost for constructing the simulator can also be reduced.

Abstract: A human-machine verification method and apparatus, a device and a storage medium, relating to the fields of Internet security technologies and computer vision technologies are disclosed.

Abstract: A method, apparatus, device and computer storage medium for processing voices, which relate to the technical field of voices, are disclosed. An implementation includes: recognizing a voice request received by a first voice assistant to obtain a text request; determining information of a second voice assistant which is able to process the text request; and calling the second voice assistant to respond to the text request.

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 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 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 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: 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.