Abstract: An item recall method includes: behavior data is acquired, where the behavior data includes items and item information of each item; target behavior data containing a retrieval category word is extracted from the behavior data; retrieval words of each item and a retrieval frequency of each retrieval word are acquired in a reverse correlation manner; word segmentation is performed on the item information to obtain multiple item segmented words; a similarity between all retrieval words and the multiple item segmented words is calculated; whether the similarity is greater than a first preset threshold or not is determined, and if yes, then a retrieval word is extracted as an expansion word of the retrieval category word; and item recall is performed according to the retrieval category word and the expansion word.

Abstract: The verification method includes: acquiring a value of at least one type of to-be-verified configuration information of a hardware device of a user; generating to-be-verified information of the user according to the value of the to-be-verified configuration information; and comparing the to-be-verified information with stored identity verification information of the user to verify identity of the user.

Abstract: Provided are a speech recognition method, a speech recognition apparatus, a computer readable storage medium, and an electronic device. The method comprises: obtaining a sample speech signal, decoding the sample speech signal, obtaining a decoding result, and extracting a first feature from the decoding result; extracting a target speech segment from the sample speech signal, obtaining a log magnitude spectrum of the target speech segment, and determining a second feature according to the log magnitude spectrum; combining the first feature and the second feature to obtain a third feature; training an untrained classifier by using the third feature so as to obtain a trained classifier; and obtaining a third feature to be recognized of a speech signal to be recognized, so as to determine whether the third feature to be recognized comprises a prepositive word.

Abstract: The present disclosure relates to a speech synthesis method and device, and a computer-readable storage medium, and relates to the field of computer technology. The method of the present disclosure includes: dividing a text into a plurality of segments according to a language category to which each of the segments belongs; converting each of the segments into a phoneme corresponding to the segment to generate a phoneme sequence of the text according to the language category to which each of the segments belongs; inputting the phoneme sequence into a speech synthesis model trained in advance and converting the phoneme sequence into a vocoder characteristic parameter; and inputting the vocoder characteristic parameter into a vocoder to generate a speech.

Abstract: A method for processing warehousing data includes: obtaining attribute data of a preset object from a warehousing data table; determining safety inventory data of the preset object and target inventory data of the preset object according to the attribute data of the preset object; obtaining current inventory data of the preset object from the warehousing data table; determining, in response to that the current inventory data of the preset object is less than or equal to the safety inventory data of the preset object, a replenishment quantity of the preset object according to the target inventory data of the preset object and the current inventory data of the preset object; and sending the replenishment quantity of the preset object to a warehouse management system, causing the warehouse management system to perform replenishment according to the replenishment quantity of the preset object.

Abstract: The present disclosure provides a self-service settlement method, apparatus and storage medium, and relates to the technical field of self-service shopping, wherein the method includes: obtaining a monitoring image acquired by an image capture device and corresponding to commodities to be settled which are placed on a settlement counter; obtaining information of the commodities to be settled through image recognition; obtaining a first weight acquired by a weight detection device, obtaining a second weight based on the information of the commodities to be settled, judging whether the information of the commodities to be settled is matched with commodities to be confirmed according to a weight comparison result; and obtaining purchased commodity settlement information under the condition that the information of the commodities to be settled is matched with the commodities to be confirmed, and performing checkout processing.

Abstract: The present disclosure provides a method for acquiring an item placing state, including: sending an acquisition request, wherein the acquisition request includes one or more association relationships, each of the association relationships includes an association relationship between a hot zone and a camera equipment, and one hot zone corresponds to one kind of item; and receiving a placing state of an item corresponding to at least one hot zone, wherein the placing state of the item corresponding to the at least one hot zone is determined according to a current image and a standard image of the at least one hot zone in response to the acquisition request. The present disclosure further provides a processing method, a system for acquiring an item placing state and a processing system.

Abstract: A custom tone and vocal synthesis method and apparatus, an electronic device, and a storage medium. The synthesis method comprises: training a first neural network by means of a speaker record sample to obtain a speaker recognition model, the output training result of the first neural network being a speaker vector sample (S102); training a second neural network by means of an unaccompanied vocal singing sample and the speaker vector sample to obtain an unaccompanied singing synthesis model (S104); inputting a speaker record to be synthesized into the speaker recognition model to obtain speaker information output by the intermediate hidden layer of the speaker recognition model (S106); and inputting unaccompanied singing music information to be synthesized and the speaker information into the unaccompanied singing synthesis model to obtain a synthesized custom tone and vocal (S108).

Abstract: Disclosed in the present application are an information transmission method, system and apparatus. The specific implementation solution comprises: in response to reception of a data request sent by a client, parsing content of the data request to obtain identification information corresponding to the data request; in response to the identification information being null, obtaining a first data set corresponding to the data request; dividing all pieces of data in the first data set on the basis of data resources of the pieces of data and data time lengths of the pieces of data to obtain a second data set corresponding to the first data set, the division indicating performing division of data request order on all the pieces of data in the first data set on the basis of the data time lengths; and sending the second data set to the client.

Abstract: An image generation method and apparatus. The method includes: performing image composition on the basis of an acquired image generation condition, and determining a primitive type and layout information of an image, so as to obtain a composition image (201); according to scenario construction information corresponding to the image generation condition, performing scenario construction on the composition image, and determining a primitive corresponding to each primitive type from among a plurality of primitive types in the composition image, so as to obtain a scenario construction image (202); adjusting the color of each primitive in the scenario construction image according to color matching information corresponding to the image generation condition, so as to obtain a color-matched image (203); and rendering the color-matched image to obtain a target image (204).

Abstract: A video generation method and apparatus. The method may include: determining one template from multiple types of templates as a production template on the basis of an input instruction of a user (201); in response to determining that the type of commodity information inputted by the user is matched with the type of the production template, obtaining a commodity picture or commodity video material related to the commodity information (202); and processing the commodity picture or commodity video material on the basis of the production template to generate a commodity video (203).

Abstract: A method and an apparatus for updating a cloud platform are provided. The method may include: in response to receiving a cloud platform update request, acquiring to-be-used updating cluster gene information corresponding to the cloud platform update request, wherein the to-be-used updating cluster gene information is structured information that completely represents information of components in a cloud platform container cluster; updating a standard cloud platform gene library according to a comparison result between the to-be-used updating cluster gene information and cluster gene information of a current standard cloud platform, wherein the standard cloud platform is a unified cloud platform on which a customer-specific cloud platform is deployed; and determining, according to an updated standard cloud platform gene library, a hardware resource of a final standard cloud platform and a software resource of the final standard cloud platform.

Abstract: This disclosure relates to a data storage management method and apparatus, and a computer-readable storage medium, and to the technical field of data storage. The method of the present disclosure includes: acquiring the number of accesses of a data storage unit in a big data cluster within a corresponding preset time interval; determining whether the data storage unit belongs to a to-be-destroyed storage unit according to the number of accesses of the data storage unit in the corresponding preset time interval; and issuing a to-be-destroyed prompt under the condition that the data storage unit belongs to a to-be-destroyed storage unit.

Abstract: A method and an apparatus for updating a cloud platform are provided. The method may include: in response to receiving an update request, acquiring cluster gene information of a to-be-updated cloud platform corresponding to the update request, the cluster gene information being structured information that entirely represents information of each component in a cloud platform container cluster; determining, on the basis of the cluster gene information, each target component of the to-be-updated cloud platform corresponding to the cluster gene information and a level to which each target component belongs; updating each target component, on the basis of the level to which each target component belongs and the cluster gene information of the corresponding target component; and determining a hardware resource of the to-be-updated cloud platform and a software resource of the to-be-updated cloud platform, based on all of the updated target components.

Abstract: The present disclosure provides a method for acquiring an item placing state, including: sending an acquisition request, wherein the acquisition request includes one or more association relationships, each of the association relationships includes an association relationship between a hot zone and a camera equipment, and one hot zone corresponds to one kind of item; and receiving a placing state of an item corresponding to at least one hot zone, wherein the placing state of the item corresponding to the at least one hot zone is determined according to a current image and a standard image of the at least one hot zone in response to the acquisition request. The present disclosure further provides a processing method, a system for acquiring an item placing state and a processing system.

Abstract: The present application relates to the technical field of artificial intelligence. Disclosed are a data feature generation method and apparatus. A particular embodiment of the method comprises: issuing a feature configuration template, such that a user configures, on a configuration interface, the content of the feature configuration template; receiving configuration content configured by the user for the feature configuration template and at least one set of time sequence data to generate at least one set of data feature values.

Abstract: The present disclosure provides a pedestrian re-identification method and apparatus. The pedestrian re-identification apparatus detects a pedestrian to be identified in a specified video frame, and within a specified time period before the capture time of the specified video frame, extracts all pedestrians appearing in the captured video frame and taking them to be historical pedestrians; calculating the feature distances between the pedestrian to be identified and the historical pedestrians; in order of feature distance, from small to large, extracting historical pedestrian identifications corresponding to a predetermined number of feature distances, and clustering the extracted historical pedestrian identifications so as to re-identify the pedestrians to be identified. The present disclosure effectively suppresses external noise interference and improves the success rate of pedestrian re-identification.

Abstract: Provided are a data processing method and apparatus, and an electronic device and a storage medium, which relate to the technical field of computers. The data processing method comprises: acquiring data to be subjected to statistics collection, and performing fragmentation processing on said data to generate task fragment data; distributing the task fragment data to an event listener by means of a preset event broadcaster; and on the basis of the event listener, querying and assembling data according to the task fragment data, so as to generate multi-level category data corresponding to the data to be subjected to statistics collection.

Abstract: Embodiments of the present invention disclose an information processing method. The method comprises: receiving an acquisition request sent by a terminal for acquiring an image to be displayed, wherein the acquisition request carries an identifier of the image, and the image comprises a first object to be displayed and a second object to be displayed; acquiring, on the basis of the acquisition request, the image corresponding to the identifier, and performing identification on the image to obtain a first image region and a second image region, wherein the first image region comprises the first object, and the second image region comprises the second object; and determining a sending order, and sequentially sending, according to the sending order, the first image region and the second image region to the terminal. Also disclosed by the embodiments of the present invention are a server, a terminal, and a computer storage medium.

Abstract: A method for rendering hair is provided and includes: obtaining a first rendered result by performing transparent channel test rendering on a specified pixel point in a hair model, wherein the specified pixel point is a pixel point with a pixel depth value less than a preset depth threshold and a transparency channel value greater than a preset transparency threshold; obtaining a second rendered result by performing transparent channel hybrid rendering on a backlight pixel point of the hair model based on the first rendered result; obtaining a third rendered result by performing transparent channel hybrid rendering on a light-oriented pixel point of the hair model based on the second rendered result; obtaining a final rendered result of the hair model by hybridizing the first rendered result, the second rendered result and the third rendered result.