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: A method and apparatus for acquiring point of interest (POI) state information are suggested, which relate to a big data technology in the technical field of artificial intelligence. A specific implementation scheme involves: acquiring a text including POI information within a preset period from the Internet; and recognizing the text by using a pre-trained POI state recognition model, to obtain a two-tuple in the text, the two-tuple including a POI name and POI state information corresponding to the POI name.

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: Provided are a lane line recognition method, an electronic device and a storage medium, relating to a technical field of artificial intelligence, in particular to technical fields of intelligent transportation, automatic driving and deep learning. The lane line recognition method includes: extracting a basic feature of an original image; recognizing at least one lane line node in the original image by using the basic feature of the original image; extracting a local feature from the basic feature of the original image by using the at least one lane line node; fusing the basic feature and the local feature; and recognizing a lane line in the original image based on a fused result.

Abstract: The present disclosure discloses a vehicle control method and apparatus, a device and a computer storage medium, and relates to the technical fields of autonomous driving and intelligent transportation. A specific implementation solution involves: determining vehicles in a preset geo-fencing region; determining a vehicle weight of each said vehicles according to a vehicle type and a waiting duration of each said vehicles; estimating, according to the vehicle weights of the vehicles in each of lanes in the geo-fencing region and positions of the vehicles in each said lanes, a duration to be waited in each said lanes; and generating a control instruction for each said vehicles according to the respective durations to be waited in each said lanes and the respective positions of the vehicles in each said lanes, the control instruction including a state instruction and/or a target speed instruction.

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: The present disclosure provides a method and apparatus of estimating a road condition, and a method and apparatus of establishing a road condition estimation model, which relates to a field of big data and intelligent traffic. The method includes: acquiring, for a first preset duration before a first moment, a sequence of user tracks for a road and a sequence of road images for the road; extracting a track-related feature of the road from the sequence of the user tracks, and extracting an image-related feature of the road from the sequence of the road images; and inputting the track-related feature of the road and the image-related feature of the road into a pre-trained road condition estimation model, so as to determine, for a second preset duration after the first moment, a road condition information of the road by using an estimated result of the road condition estimation model.

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 apparatus for acquiring point of interest (POI) state information, and relates to a big data technology in the technical field of artificial intelligence.

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: 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.

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: Provided are a road network extraction method, a device, and a storage medium, which relate to the technical field of artificial intelligence and, in particular, to the fields of image processing, computer vision, and the like and are specifically applicable to scenarios such as intelligent transportation and a smart city. A specific implementation scheme includes: extracting a first road network of a target region according to user trajectories of the target region; extracting a second road network of the target region according to a satellite aerial image of the target region; and extract a target road network of the target region according to the first road network, the second road network, and the user trajectories. Efficient and accurate road network extraction can be achieved through techniques in embodiments of the present disclosure.

Abstract: The present application discloses a method and apparatus for extracting the name of a POI, a device and a computer storage medium, and relates to the field of big data. An implementation includes: acquiring two or more text fragments identified from image data of the POI; constructing two or more candidate names using the text fragments; and ranking the candidate names using a pre-trained name ranking model, and determining the name of the POI according to the result of the ranking; wherein the name ranking model determines the probability of each candidate name as the name of the POI using at least one of a search web page feature, a document statistical feature and a semantic feature extracted from each candidate name, and ranks the candidate names according to the probabilities. With the present application, the name of the POI is automatically extracted with high accuracy. Compared with the manual review and annotation way in the prior art, a human cost is reduced.

Abstract: Technical solutions relate to the fields of artificial intelligence technologies and voice technologies. A technical solution includes: performing voice recognition and demand analysis on a voice instruction input by a user; in response to an unknown demand obtained by the demand analysis, acquiring information of a query entity and query content using a result of the demand analysis, and acquiring reply information corresponding to the query content by communication with the query entity; and returning a first voice response to the user using the reply information.

Abstract: A method includes obtaining a current query of a user, the search history information of the user in a first time period, the search history information of the user in a second time period and candidate search results for the current query, and inputting the current query of the user, the search history information of the user in the first time period, the search history information of the user in the second time period and the candidate search results for the current query into a search result ranking model, and determining search results corresponding to the current query according to scores of the candidate search results, the second time period being greater than the first time period.

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: Provided are a navigation path planning method and apparatus, a device, and a storage medium. The navigation path planning method includes planning at least two available navigation paths for each target user of at least two target users in a target region; and determining a global passing feature of the target region and selecting, according to the global passing feature of the target region, one available navigation path from the at least two available navigation paths corresponding to each target user to serve as a recommended navigation path to be recommended to each target user.

Abstract: The present application discloses a method and apparatus for acquiring point-of-interest (POI) state information, a device and a computer storage medium, and relates to the field of big data. An implementation includes acquiring a text containing POI information in a preset time period from the Internet; and identifying the text using a pre-trained POI-state identifying model to obtain a binary group in the text, the binary group including a POI name and the POI state information corresponding to the POI name; wherein the POI-state identifying model performs label prediction of the POI name and a POI state on a word sequence corresponding to the text, and label prediction results of the POI name and the POI state are aligned to obtain the binary group. With the present application, a human cost may be saved, and timeliness and accuracy may be improved.

Abstract: The present application discloses a method and apparatus for determining a route, a device and a computer storage medium, and relates to the field of big data.