Abstract: Methods for monitoring an economic state and establishing an economic state monitoring model and corresponding apparatuses, and relates to the technical field of big data are disclosed. A specific implementation solution is: acquiring, from map application data, geographic location point active data in a to-be-monitored future time frame and N historical time frames before the to-be-monitored time frame respectively for a to-be-monitored region, the N being a positive integer; and inputting feature vectors of the geographic location point active data in the to-be-monitored time frame and the N historical time frames before the to-be-monitored time frame into a pre-trained economic state monitoring model, to obtain economic indicator data of the to-be-monitored region in the to-be-monitored time frame. An economic state of the to-be-monitored region in the to-be-monitored time frame in real time can be monitored, thus timely providing a reference for policy making.

Abstract: The present disclosure provides a method of training a descriptive text generating model, and a method and apparatus for generating a descriptive text, wherein the method of training a descriptive text generating model comprises: obtaining training data, the training data comprising: a notional word, a first descriptive text and a second descriptive text of the notional word, wherein the second descriptive text is a concise expression of the first descriptive text; regarding the notional word and the first descriptive text of the notional word as input of a seq2seq model, regarding the second descriptive text of the notional word as output of the seq2sequ model, and training the seq2seq model to obtain a descriptive text generating model. The descriptive text generating model according to the present disclosure can implement generation of a concise descriptive text with respect to the notional word in a deep understanding manner.

Abstract: A data management method, apparatus, a computing device, a storage medium, and a cloud platform are provided. The data management method includes: obtaining a task request, the task request indicating to retrieve stored data to execute a task; updating execution information for the data, the execution information for the data describing one or more tasks that need retrieval of the data and the execution frequency of each of the tasks; calculating, based on the updated execution information for the data and for each of a plurality of electronic storage locations, a storage-location-specific cost value of the data; and determining a target electronic storage location of the data according to the calculated cost value.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for pushing information, relate to the field of intelligent search technology. The method can include: performing informatization processing on user comment sentences based on a consensus phrase set, to obtain a candidate recommendation information set, the candidate recommendation information set comprising at least one consensus comment sentence, and the consensus phrase set comprising: a consensus phrase presenting in at least two pieces of user comment sentences; determining a representation vector of each consensus comment sentence in the candidate recommendation information set; and determining, based on the determined representation vector of each consensus comment sentence, an attractiveness ranking position of each consensus comment sentence in the candidate recommendation information set, and pushing information according to the determined attractiveness ranking positions.

Abstract: Embodiments of the present disclosure provide a data mining system, a data mining method, and a storage medium. The data mining system includes a transfer device, a first trusted execution space and a second trusted execution space. The transfer device is configured to receive a data calling request of the second trusted execution space, obtain data to be called from the first trusted execution space according to the data calling request, and provide the data to be called to the second trusted execution space, so as to perform data mining based on the data to be called and the mining-related data to obtain a data mining result and to provide the data mining result to a device of the data user.

Abstract: A method and apparatus for building a route time consumption estimation model, and a method and apparatus for estimating a route time consumption are provided.

Abstract: A method and apparatus for predicting a road condition, a device and a computer storage medium are disclosed. The method includes: determining at least two continuous road segments obtained by dividing a navigation path; and performing the following processing on each road segment one by one from the starting point of the navigation path to the end point thereof respectively: determining the moment when the user reaches the road segment processed currently; predicting road condition information of the road segment processed currently at the determined moment; and predicting passing duration of the user at the road segment processed currently based on the road condition information of the road segment processed currently at the determined moment.

Abstract: A method and apparatus for building a route time consumption estimation model and a method and apparatus for estimating a route time consumption are described. A specific implementation solution comprises: obtaining training data from user trajectory data; obtaining the route time consumption estimation model by using the training data. The route time consumption estimation model comprises: a road segment subnetwork configured to obtain vector representations of road segments respectively based on the road segments included by the route and their context. The integration subnetwork determines an estimated time consumption on the route according to a feature representation of the time information, vector representations of the road segments and road condition feature representations of the road segments included by the route.

Abstract: The present application discloses a map data updating method, an apparatus, a device and a readable storage medium. The specific implementation solution is: after receiving road information reported by an electronic device, a server obtains multiple sequences according to the road information, and each road information belonging to the same sequence has the same type and location. After that, the server inputs each road information contained in the sequences to a pre-trained neural network model, so that the neural network model outputs a recognition result according to the sequences. The server updates map data according to the recognition result. With such solution, valid road information is recognized by combining context of each road information in the sequences and the neural network technology, and the map data is updated, which achieves the purpose of accurately updating the map data.

Abstract: The present disclosure discloses a method and an apparatus for recommending a speech packet, and a storage medium. The detailed implementing solution includes: obtaining a search request of a user; recognizing the search request to obtain a timbre interest identifier of the user; and retrieving a target speech packet based on the timbre interest identifier, and recommending the target speech packet to the user.

Abstract: Route planning method, apparatus, device and computer storage medium which relate to the field of big data are disclosed. The route planning method includes: receiving a route planning request including information of a starting position and information of a destination position; planning a route from the starting position to the destination position based on conditions about a road including a physical isolation belt; sending a route planning result. In the present disclosure, since the physical isolation belt on the road affects the user's safety during travel, the conditions about a road including a physical isolation belt are fused into the route planning, thereby improving the safety of the planned route.

Abstract: A method, device and computer storage medium for generating a speech packet which relates to the technical field of speech are disclosed. The method may include: providing a speech recording interface to a user; obtaining speech data entered by the user after obtaining an event of triggering speech recording on the speech recording interface; uploading the speech data to a server side in response to determining that the speech data meets requirements for training a speech synthesis model; receiving a downloading address of the speech packet generated by the server side after training the speech synthesis model with the speech data. An ordinary user may customize a personalized speech packet through the speech recording interface provided by the client, without using professional recording equipment, which may substantially reduce the production cost of the speech packet.

Abstract: A computer-implemented method for searching information and an electronic device are disclosed. The method includes: receiving, at one or more computing devices, a search term; acquiring, at the one or more computing devices, a 3D search result corresponding to the search term if the search term includes a 3D search requirement, in which the 3D search result includes a 3D picture and one or more service items corresponding to the 3D picture; displaying, at the one or more computing devices, the 3D search result; determining, at the one or more computing devices, a service item selected by a user; and processing, at the one or more computing devices, the 3D picture according to the service item. The method can provide a service on the basis of the 3D search result when the user has the 3D search requirement, thereby better satisfying the user' requirement and improving the user experience.

Abstract: A POI valuation method, apparatus, device and computer storage medium are disclosed. The method comprises: obtaining information of first POIs with known values and information of second POIs with unknown values within a regional range; creating a valuation model which is configured to revaluate a first POI using values of surrounding POIs of the first POI, the surrounding POIs including other first POIs and second POIs within a predetermined range of distance from the first POI, and adjusting values of second POIs in the surrounding POIs using an error between a revaluated value of first POI and the known value of the first POI; training the valuation model until the error is minimized; obtaining the values of the second POIs from the valuation model. The solutions may reduce the requirement for manpower and improve the valuation efficiency as compared with manually valuation of POIs one by one.

Abstract: The present disclosure provides a speech error-correction method, device and storage medium. The method includes: determining at least one language type to which a present query speech belongs according to the present query speech of a user, and user description information, wherein the language types include mandarin and at least one dialect; determining each speech error-correction model corresponding to each language type; performing speech analysis on the present query speech by using the determined speech error-correction models, and performing speech error-correction based on a result of the speech analysis.

Abstract: The present disclosure provides a method and apparatus for determining search results, a device and a computer storage medium, wherein the method comprises: obtaining a current query, a historical query sequence of the current query and candidate search results of the current query; inputting the current query, the historical query sequence of the current query and candidate search results of the current query into a search result-sorting model, scoring the candidate search results according to the search result-sorting model, and determining search results corresponding to the current query; wherein the scores rendered by the search result-sorting model for the candidate search results are determined according to a similarity degree between an integrated vector representation of the current query and the historical query sequence of the current query and vector representations of the candidate search results.

Abstract: A method and an apparatus for grounding a target video clip in a video are provided. The method includes: determining a current video clip in the video based on a current position; acquiring descriptive information indicative of a pre-generated target video clip descriptive feature, and executing a target video clip determining step which includes: determining current state information of the current video clip, wherein the current state information includes information indicative of a feature of the current video clip; generating a current action policy based on the descriptive information and the current state information, the current action policy being indicative of a position change of the current video clip in the video; the method further comprises: in response to reaching a preset condition, using a video clip resulting from executing the current action policy on the current video clip as the target video clip.

Abstract: The present disclosure provides methods, computing devices, and storage media for generating a training corpus. The method includes: mining out pieces of data from user behavior logs associated with a target application, each piece of data including a first behavior log and a second behavior log, the first behavior log including a user speech and a corresponding speech recognition result, the second behavior log belonging to the same user as the first behavior log and time-dependent with the first behavior log; and determining the user speech and the corresponding speech recognition result in each piece of data as a positive feedback sample or a negative feedback sample, based on the first behavior log and the second behavior log.

Abstract: Embodiments of the present disclosure disclose an Internet text mining-based method and apparatus for judging the validity of a point of interest. An implementation of the method includes: determining a search word set for indicating a to-be-detected point of interest; performing a search by using a determined search word as a search keyword, to obtain a description information set for describing the to-be-detected point of interest; and inputting a name of the to-be-detected point of interest and description information in the description information set into a pre-established validity discriminant model, to obtain a status label for indicating validity of the to-be-detected point of interest. This implementation enables timely discovery of invalid POI information. Thus, more accurate information are provided for users, user needs are met, and user experience is improved.

Abstract: The present disclosure provides a navigation method, a navigation device, a device and a medium. The method includes: generating a navigation request comprising a navigation start point, a navigation end point and at least one navigation constraint, based on a navigation requirement voice input by a user; and determining a navigation route based on the navigation start point, the navigation end point and the at least one navigation constraint.