CN110895587B - Method and device for determining target user - Google Patents
Method and device for determining target user Download PDFInfo
- Publication number
- CN110895587B CN110895587B CN201810967232.2A CN201810967232A CN110895587B CN 110895587 B CN110895587 B CN 110895587B CN 201810967232 A CN201810967232 A CN 201810967232A CN 110895587 B CN110895587 B CN 110895587B
- Authority
- CN
- China
- Prior art keywords
- user
- sensitive
- intention information
- intention
- target
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Landscapes
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The embodiment of the application discloses a method and a device for determining a target user. One embodiment of the method comprises: acquiring a search log of a user to be screened; identifying the search intention of the user to be screened based on the search log, and matching the identified intention information of the user to be screened with the sensitive intention information in a preset sensitive intention information base; and determining a target user from the users to be screened according to the matching result of the intention information of the users to be screened and the sensitive intention information in the preset sensitive intention information base. The implementation mode reduces the calculation amount of target user searching and is beneficial to improving the searching speed of the target user.
Description
Technical Field
The embodiment of the application relates to the technical field of computers, in particular to the field of data processing, and more particularly to a method and a device for determining a target user.
Background
With the development of internet technology, more and more users acquire information consultation through a network, or perform business operations such as office work, management and the like through the internet. The network behavior of the user can generally reflect the identity attribute, habit or preference attribute of the user, and the user representation can be constructed based on the network behavior of the user, so that targeted services can be provided in information push or transaction flow processing. For example, when information is pushed, the information can be pushed to the screened qualified target users in a targeted manner.
To build an accurate representation of a user, it is often necessary to gather a large amount of network behavior data of the user. As network behavior data in the Internet is increasing, the data involved in constructing a user representation for each user before screening target users is computationally expensive. And the network behavior data of the user can be continuously updated along with the change of time, and the user image needs to be maintained at a higher cost, so that the cost for searching the target user is also higher.
Disclosure of Invention
The embodiment of the application provides a method and a device for determining a target user.
In a first aspect, an embodiment of the present application provides a method for determining a target user, including: acquiring a search log of a user to be screened; identifying the search intention of the user to be screened based on the search log, and matching the identified intention information of the user to be screened with the sensitive intention information in a preset sensitive intention information base; and determining a target user from the users to be screened according to the matching result of the intention information of the users to be screened and the sensitive intention information in the preset sensitive intention information base.
In some embodiments, the preset sensitive intention information base includes a preset global sensitive intention information base and at least one regional sensitive intention information base corresponding to a preset geographic region; determining a target user from the users to be screened according to the matching result of the intention information of the users to be screened and the sensitive intention information in the preset sensitive intention information base, wherein the method comprises the following steps: screening out users with intention information matched with sensitive intention information in a global sensitive intention information base as candidate users; and determining a target preset geographical area where the candidate user is located according to the search log, and determining the target user from the candidate users on the basis of the intention information of the candidate user and a region sensitive intention information base corresponding to the target preset geographical area where the candidate user is located.
In some embodiments, the determining, according to the search log, a target preset geographic area where the candidate user is located includes: and determining a target preset geographical area where the corresponding candidate user is located according to the device position information of the electronic device executing the search operation in the search log.
In some embodiments, the determining, according to the device location information of the electronic device performing the search operation in the search log, a target preset geographic area where the corresponding candidate user is located includes: determining whether device location information of the electronic device of the candidate user includes location information generated based on the positioning request; if the device location information of the electronic device of the candidate user includes location information generated based on the positioning request, determining that a target preset geographic area where the candidate user is located is a preset geographic area indicated by the location information generated based on the positioning request; if the device location information of the electronic device of the candidate user does not include location information generated based on the positioning request, extracting information used for indicating a network address of a network access point connected with the electronic device from the device location information, and determining a target preset geographic area where the candidate user is located according to geographic location information corresponding to the information used for indicating the network address of the network access point connected with the electronic device.
In some embodiments, the preset global sensitive intention information base is constructed by at least one regional sensitive intention information base.
In some embodiments, the determining a target user from the candidate users based on the intention information of the candidate users and the area-sensitive intention information base corresponding to the target preset geographic area where the candidate user is located includes: and in response to determining that the intention information of the candidate user is matched with the sensitive intention information in the area sensitive intention information base corresponding to the target preset geographic area where the candidate user is located, determining that the candidate user is the target user in the target preset geographic area where the candidate user is located.
In some embodiments, the above method further comprises: and adding the target users to the target user set of the corresponding target preset geographic area.
In some embodiments, the above method further comprises: and acquiring a regional sensitive intention information base corresponding to a preset geographic region, and constructing a global sensitive intention information base.
In a second aspect, an embodiment of the present application provides an apparatus for determining a target user, including: an acquisition unit configured to acquire a search log of a user to be screened; the identification unit is configured to identify the search intention of the user to be screened based on the search log and match the identified intention information of the user to be screened with the sensitive intention information in a preset sensitive intention information base; the determining unit is configured to determine a target user from the users to be screened according to the matching result of the intention information of the users to be screened and the sensitive intention information in the preset sensitive intention information base.
In some embodiments, the preset sensitive intention information base includes a preset global sensitive intention information base and at least one regional sensitive intention information base corresponding to a preset geographic region; and the determining unit is further configured to determine the target user from the users to be screened according to the matching result of the intention information of the users to be screened and the sensitive intention information in the preset sensitive intention information base, in the following manner: screening out users with intention information matched with sensitive intention information in a global sensitive intention information base as candidate users; and determining a target preset geographical area where the candidate user is located according to the search log, and determining the target user from the candidate users on the basis of the intention information of the candidate user and a region sensitive intention information base corresponding to the target preset geographical area where the candidate user is located.
In some embodiments, the determining unit is further configured to determine the target preset geographic area where the candidate user is located according to the search log in the following manner: and determining a target preset geographical area where the corresponding candidate user is located according to the device position information of the electronic device executing the search operation in the search log.
In some embodiments, the determining unit is further configured to determine, according to the device location information of the electronic device performing the search operation in the search log, a target preset geographic area where the corresponding candidate user is located as follows: determining whether device location information of the electronic device of the candidate user includes location information generated based on the positioning request; if the device location information of the electronic device of the candidate user includes location information generated based on the positioning request, determining that a target preset geographic area where the candidate user is located is a preset geographic area indicated by the location information generated based on the positioning request; if the device location information of the electronic device of the candidate user does not include location information generated based on the positioning request, extracting information used for indicating a network address of a network access point connected with the electronic device from the device location information, and determining a target preset geographic area where the candidate user is located according to geographic location information corresponding to the information used for indicating the network address of the network access point connected with the electronic device.
In some embodiments, the preset global sensitive intention information base is constructed by at least one regional sensitive intention information base.
In some embodiments, the determining unit is further configured to determine the target user from the candidate users according to the following manner based on the intention information of the candidate users and a regional sensitivity intention information base corresponding to a target preset geographic region where the candidate users are located: and determining that the candidate user is the target user in the target preset geographic area where the candidate user is located in response to determining that the intention information of the candidate user is matched with the sensitive intention information in the area sensitive intention information base corresponding to the target preset geographic area where the candidate user is located.
In some embodiments, the above apparatus further comprises: the adding unit is configured to add the target users to the target user set of the corresponding target preset geographic area.
In some embodiments, the above apparatus further comprises: the construction unit is configured to acquire a regional sensitive intention information base corresponding to a preset geographic region and construct a global sensitive intention information base.
In a third aspect, an embodiment of the present application provides an electronic device, including: one or more processors; a storage device for storing one or more programs which, when executed by one or more processors, cause the one or more processors to implement the method for determining a target user as provided in the first aspect.
In a fourth aspect, the present application provides a computer-readable medium, on which a computer program is stored, where the program, when executed by a processor, implements the method for determining a target user provided in the first aspect.
According to the method and the device for determining the target user, the search log of the user to be screened is obtained, the search intention of the user to be screened is identified based on the search log, the identified intention information of the user to be screened is matched with the sensitive intention information in the preset sensitive intention information base, the target user is determined from the user to be screened according to the matching result of the intention information of the user to be screened and the sensitive intention information in the preset sensitive intention information base, the target user is searched based on the search intention of the user embodied by the search log, the calculation amount of searching of the target user is reduced, and the search speed of the target user is improved.
Drawings
Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
FIG. 1 is an exemplary system architecture diagram to which embodiments of the present application may be applied;
FIG. 2 is a flow diagram of one embodiment of a method for determining a target user according to the present application;
FIG. 3 is a schematic diagram of an application scenario of a method for determining a target user according to the present application;
FIG. 4 is a flow diagram of another embodiment of a method for determining a target user according to the present application;
FIG. 5 is a schematic block diagram illustrating an embodiment of an apparatus for determining a target user according to the present application;
FIG. 6 is a schematic block diagram of a computer system suitable for use in implementing an electronic device according to embodiments of the present application.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings.
It should be noted that, in the present application, the embodiments and features of the embodiments may be combined with each other without conflict. The present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 shows an exemplary system architecture 100 to which the method for determining a target user or the apparatus for determining a target user of the present application may be applied.
As shown in fig. 1, the system architecture 100 may include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 serves as a medium for providing communication links between the terminal devices 101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
The user 110 may use the terminal devices 101, 102, 103 to interact with the server 105 over the network 104 to receive or send messages or the like. Various information interaction applications, such as an information search application, a map application, a social platform application, an audio/video playing application, and the like, may be installed on the terminal devices 101, 102, and 103.
The terminal devices 101, 102, 103 may be various electronic devices having displays and supporting internet access including, but not limited to, smart phones, tablet computers, smart watches, notebook computers, laptop portable computers, e-book readers, and the like.
The server 105 may be a server that provides a search service or a query service for the terminal device. The server 105 may parse the search request or the query request sent by the terminal devices 101, 102, and 103, query corresponding content according to the parsing result, and may feed back the queried content to the terminal devices 101, 102, and 103 through the network 104.
It should be noted that the method for determining the target user provided by the embodiment of the present application may be executed by the server 105, and accordingly, the apparatus for determining the target user may be disposed in the server 105.
The server may be hardware or software. When the server is hardware, it may be implemented as a distributed server cluster formed by multiple servers, or may be implemented as a single server. When the server is software, it may be implemented as multiple pieces of software or software modules (e.g., multiple software modules for providing distributed services), or as a single piece of software or software module. And is not particularly limited herein.
When the terminal device includes a component (e.g., a processor such as a GPU) for performing a physical operation, the method for determining a target user provided in the embodiments of the present application may also be performed by the terminal device 101, 102, 103, and accordingly, the apparatus for determining a target user may be disposed in the terminal device 101, 102, 103.
It should be understood that the number of terminal devices, networks, servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, servers, as desired for implementation.
With continued reference to FIG. 2, a flow 200 of one embodiment of a method for determining a target user in accordance with the present application is shown. The method for determining the target user comprises the following steps:
In this embodiment, an execution subject (e.g., a server or a terminal device shown in fig. 1) of the method for determining a target user may obtain a search log of a user to be filtered. The user to be screened may be a user who searches using a search engine. Alternatively, a time period for the filtering may be specified, for example, within the last three months, and the user to be filtered may be a user who searches using the search engine within the specified time period for the filtering.
When a user searches on the network, the search engine server may record related search data, where the search data may include a user identifier, a device identifier of an electronic device used, an IP (Internet Protocol) address for connecting to the network, search times/frequency, and the like, and may also include a query of the user used in the search, search time, a browser used in the search, and the like. Optionally, the search log may also include the geographic location of the user, e.g., the search engine may record location information of the user when the user makes a search request based on the geographic location. The search engine may generate a search log from the recorded search data and store the search log in a log file.
The executing body can take the saved search logs of a large number of users as the search logs of the users to be screened. The execution body may also send a log acquisition request to an electronic device (for example, a search engine server) storing search logs of a large number of users, and receive a search log sent by the electronic device storing the search logs of the large number of users as a search log of a user to be screened.
The search intention of the user to be screened, which executes the search operation, may be identified based on the search log obtained in step 201, so as to obtain intention information of the user to be screened. Specifically, the intent of the user to be filtered may be identified based on the user query in the search log. The identified intent information may optionally be a combination of intent words.
In some optional implementations, an NLP (Natural Language Processing) technology may be adopted to extract a search keyword from a user query as an intention word representing the user intention. In other alternative implementations, the user query may be input into the trained intent recognition model to obtain an intent recognition result corresponding to the user query. The trained intention recognition model can be obtained based on sample query training of a large amount of marked intention information, can be a model formed based on a deep neural network such as a multilayer cyclic neural network and a multilayer convolutional neural network, and can also be a model formed based on a linear classifier, a decision tree, a naive Bayes method and the like.
In some optional implementation manners of this embodiment, when identifying the search intention of the user to be filtered, the intention identification may also be performed in combination with other search data such as search time in the query of the user and search time in the search log, a browser used in the search, and the number of searches. For example, the search data may be preprocessed, converted into a set data format (e.g., vector), and then subjected to intent recognition using a machine learning model constructed based on a neural network.
After the intention information of the user to be screened is identified, the intention information of the user to be screened can be matched with the sensitive intention information in a preset sensitive intention information base. The preset sensitive intention information base may be a set of preset sensitive intention information. The sensitive intention information may be information that is a condition for filtering the target user. In practice, a user of the method for determining a target user of the present embodiment may configure a corresponding sensitive intention information base. For example, a public security department may configure some keywords, key pictures, etc. related to bad social behavior to generate a sensitive intention information base.
When the intention information of the user to be screened is matched with the sensitive intention information in the preset sensitive intention information base, whether the similarity between the intention information of the user to be screened and the sensitive intention information reaches a preset threshold value or not can be judged, and if the similarity between the intention information of the user to be screened and the sensitive intention information reaches the preset threshold value, the fact that the intention information of the user to be screened and the sensitive intention information are successfully matched can be determined. When calculating the similarity, the data processing method may be adopted to convert the two into mathematical expressions with the same dimension, for example, the intention information in the form of a picture may be processed to obtain a feature matrix or a feature vector of an image, or the intention information in the form of a text may be processed to obtain a text feature vector. In some embodiments, intention analysis can be performed on intention information and sensitive intention information of a user to be screened, and semantic similarity of the intention information and the sensitive intention information can be calculated; or the intention information to be matched can be vectorized by adopting a word to vector (text vectorization) mode, and the similarity between the intention information of the user to be screened and the sensitive intention information is calculated by adopting a similarity measurement mode such as the pre-similarity.
Alternatively, the sensitive intention information base may be a combination of one or more of the following: a sensitive intention word library, a sensitive picture library and a sensitive audio resource library. In a specific implementation manner, the sensitive intention information base may be a sensitive intention word base, and the intention information of the user to be screened, which is identified by the execution main body, may be an intention word or a combination of the intention words. When the identified intention information of the user to be screened is matched with the sensitive intention information in the preset sensitive intention information base, whether the identified intention words or intention word combinations of the user to be screened contain sensitive intention words or near-meaning words of the sensitive intention words in the preset sensitive intention word base can be judged, and whether the intention information of the user to be screened is matched with the sensitive intention information in the preset sensitive intention information base or not can be judged.
And 203, determining a target user from the users to be screened according to the matching result of the intention information of the users to be screened and the sensitive intention information in the preset sensitive intention information base.
In this embodiment, a user to be screened corresponding to intention information that is successfully matched with the sensitive intention information in the preset sensitive intention information library may be taken as a target user, and specifically, a user to be screened corresponding to intention information whose similarity to the sensitive intention information in the preset sensitive intention information library reaches a preset threshold may be taken as a target user, so that the target user with a sensitive intention may be found.
According to the method for determining the target user, the search log of the user to be screened is obtained, the search intention of the user to be screened is identified based on the search log, the identified intention information of the user to be screened is matched with the sensitive intention information in the preset sensitive intention information base, the target user is determined from the user to be screened according to the matching result of the intention information of the user to be screened and the sensitive intention information in the preset sensitive intention information base, the purpose of finding the target user based on the search intention of the user embodied by the search log is achieved, the calculation amount of finding of the target user is reduced, and the finding speed of the target user is favorably improved.
Fig. 3 shows a schematic view of an application scenario of the method for determining a target user according to the present application.
As shown in fig. 3, user a may issue a request 303 to find a user with illicit intent to a server 302 through an electronic device 301. The server 302 may obtain the search log in step 304, perform intent recognition on the search log in step 305 to obtain intent information of the user to be screened, which performs the search operation, and then match the intent information of the user to be screened according to a preset illegal intent information base in step 306 to determine a target user with illegal intent. Upon receiving a request 303 from the user a to find a user with illegal intent, the server 302 may feed back the determined target user to the electronic device 301 of the user a.
With continued reference to FIG. 4, shown is a flow chart of another embodiment of a method for determining a target user according to the present application.
As shown in fig. 4, a flow 400 of the method for determining a target user of the present embodiment includes the following steps:
In this embodiment, an execution subject (e.g., a server or a terminal device shown in fig. 1) of the method for determining a target user may obtain a search log of a user to be filtered. The user to be screened may be a user who searches using a search engine. Alternatively, a time period for the filtering may be specified, for example, within the last three months, and the user to be filtered may be a user who searches using the search engine within the specified time period for the filtering.
The search intention of the user to be screened, which executes the search operation, may be identified based on the search log obtained in step 201, so as to obtain intention information of the user to be screened. Specifically, the intention information of the user to be screened sending the search request in the search log can be identified based on the user query in the search log, by adopting a keyword extraction and matching method or based on a machine learning method.
After the intention information of the user to be screened is identified, the intention information can be matched with the sensitive intention information in the preset sensitive intention information base to obtain a matching result of the intention information of the user to be screened and the sensitive intention information base. When matching, a precise matching or fuzzy matching mode can be adopted, and semantic analysis and similarity calculation methods are adopted to judge whether the intention information of the user to be screened is matched with the sensitive intention information.
Step 401 and step 402 in this embodiment may also refer to the above description of step 201 and step 202, respectively, and are not described herein again.
In this embodiment, the preset sensitive intention information base includes a preset global sensitive intention information base and at least one regional sensitive intention information base corresponding to a preset geographic region. The global sensitive intention information base is a general sensitive intention information base and does not have geographical region characteristics; the locale sensitive intent information base corresponds to a particular preset geographic region and has geographic region characteristics.
For example, the global sensitive intention information base may be a nationwide sensitive intention information base, and the regional sensitive intention information base may be a sensitive intention information base in beijing, or a sensitive intention information base in shandong province. Alternatively, the global sensitive intent information store may contain all of the sensitive intent information in the locale sensitive intent information store.
In this embodiment, the intention information of the user to be screened may be respectively matched with the sensitive intention information in the global sensitive intention information base and the regional sensitive intention information base. The specific matching mode may be: semantic analysis is carried out on the intention information of the user to be screened, the sensitive intention information in the global sensitive intention information base and the sensitive intention information in the regional sensitive intention information base, and whether the intention information of the user to be screened is successfully matched with the sensitive intention information in the global sensitive intention information base and/or the regional sensitive intention information base or not is judged based on semantic similarity. Or the intention information of the user to be screened and the global sensitive intention information base and the intention information of the user to be screened and the regional sensitive intention information base can be matched in a keyword extraction and matching mode, the similarity among the intention information of the user to be screened, the sensitive intention information in the global sensitive intention information base and the sensitive intention information in the regional sensitive intention information base can be calculated, and whether the matching is carried out or not is judged according to whether the similarity reaches a preset threshold value or not.
And step 403, screening out users with intention information matched with the sensitive intention information in the global sensitive intention information base as candidate users.
In this embodiment, a user whose intention information matches the sensitive intention information in the global sensitive intention information base may be screened from the users to be screened as a candidate user. Specifically, according to the matching result in step 402, the user whose matching degree or similarity with the intention information and the sensitive intention information in the global sensitive intention information base reaches a preset threshold may be determined as a candidate user. In this way, the search scope of the target user can be firstly narrowed down from the user to be screened who sends out the search request to the candidate user whose intention information is matched with the global sensitive intention information base based on the global sensitive intention information base.
In this embodiment, the search logs of the candidate users may be selected from the search logs obtained in step 401 according to identification information such as user identification or device identification, and then the location information of the candidate users may be determined according to the search logs of the candidate users. At least one preset geographic area may be preset, and the preset geographic areas do not overlap with each other, for example, preset geographic areas such as beijing, nanjing, shanghai, guangzhou, and the like may be set. Then, a target preset geographic area where the candidate user is located may be determined according to the location information of the candidate user, that is, it is determined within which preset geographic area the location information of the candidate user falls, where the target preset geographic area where the candidate user is located is the preset geographic area where the location information of the candidate user falls.
And then, determining the target user according to the matching result of the intention information of the candidate user and the area sensitive intention information base of the target preset geographic area where the candidate user is located. Specifically, the candidate user whose intention information matches with the intention information in the area sensitive intention information base of the target preset geographic area where the candidate user is located may be used as the searched target user.
In this embodiment, the sensitive intention information bases of the preset geographic areas may be different. The regional sensitive intention information base can be constructed in advance according to regional characteristics, and then the determined target user is the user with the sensitive intention corresponding to the region where the target user is located.
In practice, different sensitive search word banks may be constructed for different regions, for example, a sensitive search word bank for the x region may include sensitive words A, B, C, D, a sensitive word bank for the y region may include sensitive words B, D, E, F, G, and so on. Therefore, the target users in different areas can be determined in a more targeted manner according to the preset sensitive word libraries in different areas.
Optionally, the preset global sensitive intention information base may be constructed by at least one regional sensitive intention information base, that is, the global sensitive intention information base may include at least one regional sensitive intention information base. Further, the global sensitive intention information base may be a set of regional sensitive intention information bases corresponding to a plurality of preset geographic regions.
Further optionally, the method flow 400 for determining the target user of the present embodiment may further include: and acquiring a regional sensitive intention information base corresponding to a preset geographic region, and constructing a global sensitive intention information base. The electronic equipment can acquire the sensitive intention information base set by the user for each preset geographic area, and then summarize the sensitive intention information bases of the areas to obtain a global sensitive intention information base.
As an example, the regional sensitive intention information bases of the preset geographic areas may be preset, and then the regional sensitive intention information bases of the preset geographic areas are summarized to generate the global sensitive intention information base.
In some embodiments, the execution subject may determine the target user as follows: and in response to determining that the intention information of the candidate user is matched with the sensitive intention information in the area sensitive intention information base corresponding to the target preset geographic area where the candidate user is located, determining that the candidate user is the target user in the target preset geographic area where the candidate user is located. That is to say, whether each candidate user is the target user of the target preset geographical area where each candidate user is located can be judged according to the area sensitive intention information of the target preset geographical area where each candidate user is located, and thus the target users of each preset geographical area can be determined, so that the target users in the sub-areas can be searched, and the searching efficiency is improved.
Further optionally, after step 400, the method flow 400 for determining the target user may further include: and adding the target users to the target user set of the corresponding target preset geographic area.
Specifically, a corresponding target user set may be created for each preset geographic area, and after the target user and the corresponding target preset geographic area are determined from the candidate users, the target user may be added to the target user set of the corresponding target preset geographic area. Therefore, the method of the embodiment can obtain the target user sets in different preset geographic areas, and can quickly provide comprehensive and accurate target user search results.
As can be seen from fig. 4, in the method for determining a target user according to this embodiment, the candidate users whose intention information matches the global sensitive intention information base are screened out, so that the search range of the target user can be quickly narrowed, and then the target users in the corresponding preset geographic area are determined from the candidate users, so that the target user can be searched differentially according to the geographic area, and the efficiency of searching by the target user is improved.
In some optional implementations of the method flow 400 for determining a target user, a target preset geographic area where a candidate user is located may be determined as follows: and determining a target preset geographical area where the corresponding candidate user is located according to the device position information of the electronic device executing the search operation in the search log. Specifically, device location information of the electronic device used when the user sends the search request may be extracted from the search log, and a target preset geographic area where a candidate user using the electronic device is located may be determined according to a preset geographic area in which the device location information falls. Here, the device location information may be generated based on a location request of the device, and may be, for example, GPS (Global Positioning System) location information, or may be determined based on an IP address of the electronic device, and may, for example, query a physical address corresponding to the IP address from the IP address of the electronic device.
In a further implementation manner, it may be determined whether the device location information of the electronic device of the candidate user includes location information generated based on the location request, and if the device location information of the electronic device of the candidate user includes location information generated based on the location request, it is determined that the target preset geographic area where the candidate user is located is a preset geographic area indicated by the location information generated based on the location request; and if the device position information of the electronic device of the candidate user does not comprise the position information generated based on the positioning request, extracting the information used for indicating the network address of the network access point connected with the electronic device in the device position information, and determining the target preset geographical area where the candidate user is located according to the geographical position information corresponding to the information used for indicating the network address of the network access point connected with the electronic device.
Specifically, it may be determined whether the search log of the candidate user includes GPS positioning information generated based on the positioning request when the search request is issued, and if so, the preset geographic area where the position indicated by the GPS positioning information is located may be determined as the target preset geographic area where the candidate user issues the search request. If the search log does not contain the GPS positioning information when the search request is sent, the corresponding geographical location information may be searched according to the network address of the wireless network access point connected when the electronic device sends the search request, for example, the GPS positioning information of other electronic devices connected to the wireless network access point may be searched according to the network address of the wireless network access point, and the GPS positioning information may be used as the geographical location information corresponding to the network address of the wireless network access point, or the geographical location information corresponding to the IP address of the wireless network access point may be used as the geographical location information of the electronic device connected to the wireless network access point. And then determining the geographical position information of the electronic equipment adopted when the candidate user sends the search request, and further determining the target preset geographical area where the candidate user is located. Therefore, the target preset area where the candidate user is located can be preferentially determined by adopting the accurate GPS positioning information, the geographical position information of the candidate user is obtained based on the network address of the wireless network access point when the GPS data does not exist, the position accuracy of the target user can be ensured as much as possible, the candidate user is matched in the sensitive intention information base of the target preset area, and the accuracy of the determined target user is ensured.
An exemplary application scenario of the above embodiment shown in fig. 4 may be: the regional sensitive intention word banks of areas such as beijing, shanghai, guangdong, shandong, and the like may be constructed in advance, for example, the regional sensitive intention word bank of beijing includes intention words: A. b, C, D, the locale sensitive intent word bank of Shanghai city includes intent words A, B, D, E, and the locale sensitive intent word bank of Guangdong province includes intent words: B. c, D, F, the locale sensitive intent word library of Shandong province includes: C. d, E, F are provided. Then, the above-mentioned regional sensitive intention word libraries can be summarized to construct a global sensitive intention word library, and the word library including the intention words is obtained: A. b, C, D, E, F. Then, the search intentions of a large number of users to be screened can be identified from the massive search logs, and whether the search intention of the users to be screened is matched with the intention words in the global intention word bank is judged, for example, the matching result shows that the search intention of the user U1 is matched with the intention word A, B, the search intention of the user U2 is matched with the intention word E, and the search intention of the user U3 is matched with the intention word D, F. The users U1, U2, U3 may be candidate users, and then the geographical locations of the candidate users U1, U2, U3 may be determined, for example, the candidate user U1 may be located in beijing, the candidate user U2 may be located in guangdong province, and the candidate user U3 may be located in guangdong province, according to the IP addresses of the candidate users U1, U2, U3. Then it can be further determined whether the search intention of the candidate user U1 matches the locale sensitive word stock in beijing city and whether the search intentions of the candidate users U2 and U3 match the locale sensitive word stock in guangdong province, and the matching results are: the search intention of the candidate user U1 and the search intention of the candidate user U3 are matched with the regional sensitive intention word stock of Beijing City and Guangdong province in which the candidate user U2 is located, and the search intention of the candidate user U2 is not matched with the regional sensitive intention word stock of Guangdong province in which the candidate user U3 is located. Then it may be determined that candidate user U1, candidate user U3 are target users in beijing, guangdong, respectively, and candidate user U2 is not a target user. Therefore, the target users in the corresponding areas can be screened out according to the sensitive intention word libraries customized in different areas.
With further reference to fig. 5, as an implementation of the methods shown in the above-mentioned figures, the present application provides an embodiment of an apparatus for determining a target user, where the embodiment of the apparatus corresponds to the embodiment of the methods shown in fig. 2 and fig. 4, and the apparatus may be specifically applied to various electronic devices.
As shown in fig. 5, the apparatus 500 for determining a target user of the present embodiment includes: an acquisition unit 501, a recognition unit 502, and a determination unit 503. The obtaining unit 501 is configured to obtain a search log of a user to be screened, the identifying unit 502 is configured to identify a search intention of the user to be screened based on the search log, match the identified intention information of the user to be screened with sensitive intention information in a preset sensitive intention information base, and the determining unit 503 is configured to determine a target user from the user to be screened according to a matching result of the intention information of the user to be screened and the sensitive intention information in the preset sensitive intention information base.
In some embodiments, the preset sensitive intention information base may include a preset global sensitive intention information base and at least one regional sensitive intention information base corresponding to a preset geographic region. At this time, the determining unit 503 may be further configured to determine the target user from the users to be screened according to the matching result of the intention information of the users to be screened and the sensitive intention information in the preset sensitive intention information base, as follows: screening out users with intention information matched with sensitive intention information in a global sensitive intention information base as candidate users; and determining a target preset geographical area where the candidate user is located according to the search log, and determining the target user from the candidate users on the basis of the intention information of the candidate user and a region sensitive intention information base corresponding to the target preset geographical area where the candidate user is located.
In some embodiments, the determining unit 503 may be further configured to determine the target preset geographic area where the candidate user is located according to the search log as follows: and determining a target preset geographical area where the corresponding candidate user is located according to the device position information of the electronic device executing the search operation in the search log.
In some embodiments, the determining unit 503 may be further configured to determine, according to the device location information of the electronic device performing the search operation in the search log, a target preset geographic area where the corresponding candidate user is located as follows: determining whether device location information of the electronic device of the candidate user includes location information generated based on the positioning request; if the device location information of the electronic device of the candidate user includes location information generated based on the positioning request, determining that a target preset geographic area where the candidate user is located is a preset geographic area indicated by the location information generated based on the positioning request; if the device location information of the electronic device of the candidate user does not include location information generated based on the positioning request, extracting information used for indicating a network address of a network access point connected with the electronic device from the device location information, and determining a target preset geographic area where the candidate user is located according to geographic location information corresponding to the information used for indicating the network address of the network access point connected with the electronic device.
In some embodiments, the preset global sensitive intention information base is constructed by at least one regional sensitive intention information base.
In some embodiments, the determining unit 503 may be further configured to determine the target user from the candidate users according to the following manner based on the intention information of the candidate users and a regional sensitive intention information base corresponding to the target preset geographic region where the candidate user is located: and in response to determining that the intention information of the candidate user is matched with the sensitive intention information in the area sensitive intention information base corresponding to the target preset geographic area where the candidate user is located, determining that the candidate user is the target user in the target preset geographic area where the candidate user is located.
In some embodiments, the apparatus 500 may further include: and the adding unit is configured to add the target user to the target user set of the corresponding target preset geographic area.
In some embodiments, the apparatus 500 may further include: the construction unit is configured to acquire a regional sensitive intention information base corresponding to a preset geographic region and construct a global sensitive intention information base.
It should be understood that the elements recited in apparatus 500 correspond to various steps in the methods described with reference to fig. 2 and 4. Thus, the operations and features described above for the method are equally applicable to the apparatus 500 and the units included therein, and are not described in detail here.
According to the device 500 for determining the target user in the embodiment of the application, the acquisition unit is used for acquiring the search log of the user to be screened, the identification unit is used for identifying the search intention of the user to be screened based on the search log, the identified intention information of the user to be screened is matched with the sensitive intention information in the preset sensitive intention information base, and the determination unit is used for determining the target user from the user to be screened according to the matching result of the intention information of the user to be screened and the sensitive intention information in the preset sensitive intention information base, so that the target user is searched based on the search intention of the user embodied by the search log, the calculation amount of searching the target user is reduced, and the search speed of the target user is improved.
Referring now to FIG. 6, shown is a block diagram of a computer system 600 suitable for use in implementing the electronic device of an embodiment of the present application. The electronic device shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
As shown in fig. 6, the computer system 600 includes a Central Processing Unit (CPU)601 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)602 or a program loaded from a storage section 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data necessary for the operation of the system 600 are also stored. The CPU 601, ROM 602, and RAM 603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
The following components are connected to the I/O interface 605: an input portion 606 including a keyboard, a mouse, and the like; an output portion 607 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 608 including a hard disk and the like; and a communication section 609 including a network interface card such as a LAN card, a modem, or the like. The communication section 609 performs communication processing via a network such as the internet. The driver 610 is also connected to the I/O interface 605 as needed. A removable medium 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 610 as necessary, so that a computer program read out therefrom is mounted in the storage section 608 as necessary.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer-readable medium, the computer program comprising program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 609, and/or installed from the removable medium 611. The computer program performs the above-described functions defined in the method of the present application when executed by a Central Processing Unit (CPU) 601. Note that the computer readable medium of the present application can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, or the like, as well as conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present application may be implemented by software or hardware. The described units may also be provided in a processor, and may be described as: a processor includes an acquisition unit, a recognition unit, and a determination unit. The names of these units do not in some cases constitute a limitation on the units themselves, and for example, the acquiring unit may also be described as a "unit that acquires a search log of a user to be filtered".
As another aspect, the present application also provides a computer-readable medium, which may be contained in the apparatus described in the above embodiments; or may be present separately and not assembled into the device. The computer readable medium carrying one or more programs which, when executed by the apparatus, cause the apparatus to: acquiring a search log of a user to be screened; identifying the search intention of the user to be screened based on the search log, and matching the identified intention information of the user to be screened with the sensitive intention information in a preset sensitive intention information base; determining a target user from the users to be screened according to the matching result of the intention information of the users to be screened and the sensitive intention information in the preset sensitive intention information base
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention herein disclosed is not limited to the particular combination of features described above, but also encompasses other arrangements formed by any combination of the above features or their equivalents without departing from the spirit of the invention. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.
Claims (16)
1. A method for determining a target user, comprising:
acquiring a search log of a user to be screened;
identifying the search intention of the user to be screened based on the search log, and matching the identified intention information of the user to be screened with the sensitive intention information in a preset sensitive intention information base;
determining a target user from the user to be screened according to the matching result of the intention information of the user to be screened and the sensitive intention information in a preset sensitive intention information base;
the determining a target user from the user to be screened according to the matching result of the intention information of the user to be screened and the sensitive intention information in a preset sensitive intention information base comprises the following steps:
screening out users with intention information matched with sensitive intention information in a global sensitive intention information base as candidate users;
determining a target preset geographic area where the candidate user is located according to the search log, and determining a target user from the candidate user based on intention information of the candidate user and a regional sensitive intention information base corresponding to the target preset geographic area where the candidate user is located; the preset sensitive intention information base comprises a preset global sensitive intention information base and at least one regional sensitive intention information base corresponding to a preset geographic region, and the regional sensitive intention information base is used for recording sensitive intention information defined by the corresponding geographic region.
2. The method of claim 1, wherein the determining a target preset geographic area in which the candidate user is located according to the search log comprises:
and determining a target preset geographical area where the corresponding candidate user is located according to the device position information of the electronic device which executes the searching operation in the searching log.
3. The method of claim 2, wherein the determining a target preset geographic area where the corresponding candidate user is located according to the device location information of the electronic device performing the search operation in the search log comprises:
determining whether the device location information of the candidate user's electronic device includes location information generated based on a location request;
if the device location information of the electronic device of the candidate user includes location information generated based on a location request, determining that a target preset geographic area where the candidate user is located is a preset geographic area indicated by the location information generated based on the location request;
if the device location information of the electronic device of the candidate user does not include location information generated based on the positioning request, extracting information used for indicating a network address of a network access point connected with the electronic device from the device location information, and determining a target preset geographic area where the candidate user is located according to geographic location information corresponding to the information used for indicating the network address of the network access point connected with the electronic device.
4. The method according to any one of claims 1-3, wherein the preset global sensitive intention information base is constructed by at least one of the regional sensitive intention information bases.
5. The method according to any one of claims 1 to 3, wherein the determining a target user from the candidate users based on the intention information of the candidate user and a regional sensitivity intention information base corresponding to a target preset geographic region where the candidate user is located comprises:
and in response to determining that the intention information of the candidate user is matched with the sensitive intention information in the region sensitive intention information base corresponding to the target preset geographic region where the candidate user is located, determining that the candidate user is the target user in the target preset geographic region where the candidate user is located.
6. The method of claim 5, wherein the method further comprises:
and adding the target user into a target user set of a corresponding target preset geographic area.
7. The method according to any one of claims 1-3, wherein the method further comprises:
and acquiring a regional sensitive intention information base corresponding to a preset geographic region, and constructing the global sensitive intention information base.
8. An apparatus for determining a target user, comprising:
an acquisition unit configured to acquire a search log of a user to be screened;
the identification unit is configured to identify the search intention of the user to be screened based on the search log, and match the identified intention information of the user to be screened with the sensitive intention information in a preset sensitive intention information base;
the determining unit is configured to determine a target user from the users to be screened according to the matching result of the intention information of the users to be screened and the sensitive intention information in a preset sensitive intention information base;
the determination unit is further configured to: screening out users with intention information matched with sensitive intention information in a global sensitive intention information base as candidate users;
determining a target preset geographic area where the candidate user is located according to the search log, and determining a target user from the candidate user based on intention information of the candidate user and a regional sensitive intention information base corresponding to the target preset geographic area where the candidate user is located; the preset sensitive intention information base comprises a preset global sensitive intention information base and at least one regional sensitive intention information base corresponding to a preset geographic region, and the regional sensitive intention information base is used for recording sensitive intention information correspondingly defined by the geographic region.
9. The apparatus of claim 8, wherein the determining unit is further configured to determine the target preset geographic area where the candidate user is located according to the search log as follows:
and determining a target preset geographical area where the corresponding candidate user is located according to the device position information of the electronic device which executes the searching operation in the searching log.
10. The apparatus of claim 9, wherein the determining unit is further configured to determine, according to the device location information of the electronic device performing the search operation in the search log, a target preset geographic area where the corresponding candidate user is located as follows:
determining whether the device location information of the candidate user's electronic device includes location information generated based on a location request;
if the device location information of the electronic device of the candidate user includes location information generated based on a location request, determining that a target preset geographic area where the candidate user is located is a preset geographic area indicated by the location information generated based on the location request;
if the device location information of the electronic device of the candidate user does not include location information generated based on the positioning request, extracting information used for indicating a network address of a network access point connected with the electronic device from the device location information, and determining a target preset geographic area where the candidate user is located according to geographic location information corresponding to the information used for indicating the network address of the network access point connected with the electronic device.
11. The apparatus according to any one of claims 8-10, wherein the preset global sensitive intention information base is constructed by at least one of the regional sensitive intention information bases.
12. The apparatus according to any one of claims 8-10, wherein the determining unit is further configured to determine the target user from the candidate users based on the intention information of the candidate users and a regional sensitivity intention information base corresponding to a target preset geographic region where the candidate user is located, as follows:
and in response to determining that the intention information of the candidate user is matched with the sensitive intention information in the regional sensitive intention information base corresponding to the target preset geographic region where the candidate user is located, determining that the candidate user is the target user of the target preset geographic region where the candidate user is located.
13. The apparatus of claim 12, wherein the apparatus further comprises:
and the adding unit is configured to add the target user to a target user set of the corresponding target preset geographic area.
14. The apparatus of any one of claims 8-10, wherein the apparatus further comprises:
the construction unit is configured to acquire a regional sensitive intention information base corresponding to a preset geographic region and construct the global sensitive intention information base.
15. An electronic device, comprising:
one or more processors;
a storage device to store one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-7.
16. A computer-readable medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the method of any one of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810967232.2A CN110895587B (en) | 2018-08-23 | 2018-08-23 | Method and device for determining target user |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810967232.2A CN110895587B (en) | 2018-08-23 | 2018-08-23 | Method and device for determining target user |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110895587A CN110895587A (en) | 2020-03-20 |
| CN110895587B true CN110895587B (en) | 2022-08-26 |
Family
ID=69784787
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810967232.2A Active CN110895587B (en) | 2018-08-23 | 2018-08-23 | Method and device for determining target user |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110895587B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111523036B (en) * | 2020-04-24 | 2023-12-19 | 北京百度网讯科技有限公司 | Search behavior mining method and device and electronic equipment |
| CN113343699B (en) * | 2021-06-22 | 2023-10-20 | 湖北华中电力科技开发有限责任公司 | Log security risk monitoring method and device, electronic equipment and medium |
| CN117725185B (en) * | 2024-02-06 | 2024-05-07 | 河北神玥软件科技股份有限公司 | Intelligent dialogue generation method and system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102254039A (en) * | 2011-08-11 | 2011-11-23 | 武汉安问科技发展有限责任公司 | Searching engine-based network searching method |
| CN104217030A (en) * | 2014-09-28 | 2014-12-17 | 北京奇虎科技有限公司 | Method and device for classifying users according to search log data of server |
| CN104933157A (en) * | 2015-06-26 | 2015-09-23 | 百度在线网络技术（北京）有限公司 | Method and device used for obtaining user attribute information, and server |
| CN107092642A (en) * | 2017-03-06 | 2017-08-25 | 广州神马移动信息科技有限公司 | A kind of information search method, equipment, client device and server |
| CN108153824A (en) * | 2017-12-06 | 2018-06-12 | 阿里巴巴集团控股有限公司 | The determining method and device of targeted user population |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7627559B2 (en) * | 2005-12-15 | 2009-12-01 | Microsoft Corporation | Context-based key phrase discovery and similarity measurement utilizing search engine query logs |
| US7949672B2 (en) * | 2008-06-10 | 2011-05-24 | Yahoo! Inc. | Identifying regional sensitive queries in web search |
-
2018
- 2018-08-23 CN CN201810967232.2A patent/CN110895587B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102254039A (en) * | 2011-08-11 | 2011-11-23 | 武汉安问科技发展有限责任公司 | Searching engine-based network searching method |
| CN104217030A (en) * | 2014-09-28 | 2014-12-17 | 北京奇虎科技有限公司 | Method and device for classifying users according to search log data of server |
| CN104933157A (en) * | 2015-06-26 | 2015-09-23 | 百度在线网络技术（北京）有限公司 | Method and device used for obtaining user attribute information, and server |
| CN107092642A (en) * | 2017-03-06 | 2017-08-25 | 广州神马移动信息科技有限公司 | A kind of information search method, equipment, client device and server |
| CN108153824A (en) * | 2017-12-06 | 2018-06-12 | 阿里巴巴集团控股有限公司 | The determining method and device of targeted user population |
Non-Patent Citations (1)
| Title |
|---|
| 基于日志挖掘的用户健康信息检索行为研究;王若佳 等;《图书情报工作》;20150605;第59卷(第11期);第111-118页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110895587A (en) | 2020-03-20 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107679211B (en) | Method and device for pushing information | |
| US11244011B2 (en) | Ingestion planning for complex tables | |
| CN108509569B (en) | Method and device for generating enterprise portrait, electronic equipment and storage medium | |
| CN109543058B (en) | Method, electronic device, and computer-readable medium for detecting image | |
| CN111522927B (en) | Entity query method and device based on knowledge graph | |
| CN110929125B (en) | Search recall method, device, equipment and storage medium thereof | |
| US8984414B2 (en) | Function extension for browsers or documents | |
| CN108491387B (en) | Method and apparatus for outputting information | |
| CN110674360B (en) | Tracing method and system for data | |
| CN110633423B (en) | Target account identification method, device, equipment and storage medium | |
| CN110321544B (en) | Method and device for generating information | |
| CN110895587B (en) | Method and device for determining target user | |
| CN110737824B (en) | Content query method and device | |
| CN113868538A (en) | Information processing method, device, equipment and medium | |
| US8799314B2 (en) | System and method for managing information map | |
| CN111078849B (en) | Method and device for outputting information | |
| CN113626558B (en) | Intelligent recommendation-based field standardization method and system | |
| CN111126422B (en) | Method, device, equipment and medium for establishing industry model and determining industry | |
| CN113590756A (en) | Information sequence generation method and device, terminal equipment and computer readable medium | |
| CN110737820A (en) | Method and apparatus for generating event information | |
| CN111475722A (en) | Method and apparatus for transmitting information | |
| CN111488450A (en) | Method and device for generating keyword library and electronic equipment | |
| CN117171433A (en) | Logistics information acquisition method and device | |
| US10503773B2 (en) | Tagging of documents and other resources to enhance their searchability | |
| CN113609309B (en) | Knowledge graph construction method and device, storage medium and electronic equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |