Beijing Baidu Netcom Science and Technology Co., Ltd.

Beijing Baidu Netcom Science Technology Co., Ltd

Baidu Online Network Technology (beijing) Co., Ltd.

Yanyan Li

Jianguo Duan

Hui Xiong

Dejing Dou

Airong Jiang

Jingbo Zhou

Xinjiang Lu

Jizhou Huang

Guanglei Du

Shilin Wu

A method is provided. The method includes: determining, by one or more computers, a name of a target region, wherein the name of the target region is determined based on geometry attribute information of the target region; and determining, by one or more computers, region attribute information of the target region based on the name of the target region.

Method for determining region attribute information, computing device, and storage medium

Embodiments of the present disclosure provide a method, an apparatus, a device, a medium and a product for configuring a color, relates to the field of computer technology, and particularly to the data visualization technology. A specific implementation comprises: acquiring a set of chart entities in a chart; determining target color information corresponding to the chart entities in the set of the chart entities based on a preset target function and a constraint condition; and configuring colors corresponding to the chart entities in the set of the chart entities based on the target color information.

Method and apparatus for configuring color, device, medium and product

A method for evaluating satisfaction with voice interaction, a device, and a storage medium are provided, which are related to a technical field of artificial intelligence, in particular, to fields of natural language processing, knowledge graph and deep learning, and can be applied to user intention understanding. The specific implementation includes: acquiring sample interaction data of a plurality of rounds of sample voice interaction behaviors; performing feature extractions on respective sample interaction data, to obtain a sample interaction feature sequence; acquiring satisfaction marks corresponding to the respective sample interaction data, to obtain a satisfaction mark sequence; and training an initial model by using a plurality of sets of sample interaction feature sequences and of satisfaction mark sequences, to obtain the model for evaluating satisfaction.

Method for evaluating satisfaction with voice interaction, device, and storage medium

The present disclosure discloses a method and apparatus for displaying map points of interest, and an electronic device, relates to the field of artificial intelligence, and in particular to intelligent transportation. A specific implementation solution includes: acquiring features corresponding to multiple candidate points of interest; determining predicted popularity of the multiple candidate points of interest according to a mapping relation between each feature and each popularity and the features of the multiple candidate points of interest, and the mapping relation is determined based on the frequency of operations performed by a user for each sample point of interest in a historical time period; and displaying the candidate points of interest of which predicted popularity meets a preset popularity condition in a map. Therefore, the accuracy of the displayed points of interest may be enhanced.

Method and apparatus for displaying map points of interest, and electronic device

The present disclosure discloses a method, an apparatus, a device, and a storage medium for determining a point of interest area, and relates to the field of automatic driving. The implementation solution is that the method is applied to an electronic device, and includes: receiving a point of interest area determination request input by a first user, the point of interest area determination request including a target area coverage; and acquiring grid data of at least one block within the target area coverage in response to the point of interest area determination request; acquiring, for each block, positioning data of a second user within each preset time period and number of parent points of interest; clustering corresponding grid data according to the positioning data, the grid data and the number of the parent points of interest; determining at least one POI area in each block according to a clustering result.

Method, apparatus, device and storage medium for determining point of interest area

Embodiments of the present disclosure provide a method, apparatus, computer device, and storage medium for determining a POI alias. The method may include: acquiring a to-be-processed target POI, and generating a candidate alias list corresponding to the target POI based on a query behavior-associated log matching the target POI; and screening out at least one target alias corresponding to the target POI in the candidate alias list, according to an association relationship between each candidate alias in the candidate alias list and the target POI.

Method, apparatus, computer device and storage medium for determining POI alias

A method, device, and medium for recommending a region of interest are provided. The method includes: acquiring access data, the access data including correlation information between any two regions in a region group, in which a correlation between any two regions in the region group is acquired based on a region pair formed by the any two regions in the region group where sample users are located and the number of access times corresponding to the region pair, and in which the region group is acquired based on division of map data, and the map data includes boundary information of an entity in a real world; determining a region where a first user is currently located; and recommending region information of the region of interest for the first user based on the access data and the region where the first user is currently located.

Recommendation of region of interest

A method for generating an electronic report, an electronic device and a storage medium, related to the field of large data and the field of artificial intelligence, are disclosed. The method for generating an electronic report includes: establishing a template tree comprising a plurality of branches, wherein the branches comprise at least one intermediate node and bottom layer nodes comprising identification information; and calling, for respective branches, data groups corresponding to the identification information of the bottom layer nodes from a database, respectively, and displaying the called data groups at positions corresponding to the bottom layer nodes in an electronic report. Labor consumption may be reduced, and advantages of low cost, high efficiency, automation and routinization may be achieved.

Method for generating electronic report, electronic device, and storage medium

A method and apparatus for generating a user intention understanding satisfaction evaluation model, a method and apparatus for evaluating a user intention understanding satisfaction, an electronic device and a storage medium are provided, relating to intelligent voice recognition and knowledge graphs. The method for generating a user intention understanding satisfaction evaluation model is: acquiring a plurality of sets of intention understanding data, at least one set of which comprises a plurality of sequences corresponding to multi-round behaviors of an intelligent device in multi-round man-machine interactions; and learning the plurality of sets of intention understanding data through a first machine learning model, to obtain the user intention understanding satisfaction evaluation model after the learning, wherein the user intention understanding satisfaction evaluation model is configured to evaluate user intention understanding satisfactions of the intelligent device in the multi-round man-machine interactions according to the plurality of sequences corresponding to the multi-round man-machine interactions.

Method and apparatus for evaluating user intention understanding satisfaction, electronic device and storage medium

Embodiments of the present disclosure provide a method and apparatus for generating information. A method may include: determining, according to received positioning request information, visiting information for a target area of interest, the visiting information including location information of at least one visiting point; determining, according to the location information of the at least one visiting point, a visiting point distribution map including the at least one visiting point; performing grid division on the visiting point distribution map, to obtain a first grid map including at least one grid; and generating, based on the first grid map, outline information for the target area of interest.

Method and apparatus for generating information

The present application discloses a method for data aggregation, the method includes: acquiring original data to be aggregated and dividing the original data into at least one first data set; determining whether each of the at least one first data set has a corresponding historical aggregation record; when there is at least one second data set with a historical aggregation record in the at least one first data set, acquiring a historical aggregation result corresponding to each second data set to obtain at least one first aggregation result; performing aggregation on each third data set without a historical aggregation record to obtain at least one second aggregation result; and determining a third aggregation result of the original data according to the at least one first aggregation result and the at least one second aggregation result, and determining a data tag of the original data according to the third aggregation result.

Method, apparatus, device and storage medium for data aggregation

A method, an apparatus, a computer device and a storage medium for stay point recognition are disclosed. The method comprises: obtaining reference stay points corresponding to a to-be-recognized positioning point; selecting from the reference stay points a stay point in a predetermined relationship with the to-be-recognized positioning point; and determining whether the to-be-recognized positioning point is a stay point based on the stay point selected. The technical solution may improve the accuracy and recall rate of the stay point recognition.

Method, apparatus, computer device and storage medium for stay point recognition

A method, an apparatus and a storage medium for stay point recognition and prediction model training are proposed. The method may include: for a to-be-recognized positioning point, obtaining respectively features of N predetermined dimensions for the to-be-recognized positioning point, N being a positive integer greater than one; generating a feature vector for the to-be-recognized positioning point according to the features obtained; determining whether the to-be-recognized positioning point is a stay point based on the feature vector, by using a prediction model obtained by pre-training. The technical solution may be applied to improve the accuracy and a recall rate of the stay point recognition.

Method, apparatus and storage medium for stay point recognition and prediction model training

Disclosed are a method and apparatus for generating information. A method may include: acquiring a visiting data sequence and a positioning data sequence of a user, visiting data including visiting time and a point of interest identifier, and positioning data including positioning time and location information; using, in response to determining that the visiting time of the visiting data in the visiting data sequence matches the positioning time of the positioning data in the positioning data sequence, the visiting data corresponding to the matched visiting time as target visiting data, and the positioning data corresponding to the matched positioning time as target positioning data; determining an effective area of a target point of interest; and determining a dwell time of the user at the target point of interest based on the effective area and the positioning data sequence.

Disclosed are a method and apparatus for generating information. A method may include: receiving wireless local area network scanning information sent by a terminal, the wireless local area network scanning information including a wireless local area network identifier of at least one wireless local area network; determining, from the wireless local area network identifier of the at least one wireless local area network, a wireless local area network identifier as a target wireless local area network identifier; determining feature information of a target wireless local area network corresponding to the target wireless local area network identifier; and generating, based on the feature information of the target wireless local area network and a pre-established category identification model, category information corresponding to the target wireless local area network, the category identification model being used to represent a corresponding relationship between the feature information and the category information.

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Beijing, China

Yanyan Li