CN113220816A

CN113220816A - Data processing method, device and equipment for POI (Point of interest) of electronic map

Info

Publication number: CN113220816A
Application number: CN202110549144.2A
Authority: CN
Inventors: 陈浩; 赵润美; 黄际洲
Original assignee: Beijing Baidu Netcom Science and Technology Co Ltd
Current assignee: Beijing Baidu Netcom Science and Technology Co Ltd
Priority date: 2021-05-19
Filing date: 2021-05-19
Publication date: 2021-08-06

Abstract

The invention discloses a data processing method of an electronic map point of interest (POI), which relates to the technical field of artificial intelligence and big data, in particular to the fields of deep learning, cloud computing, NLP, intelligent search and the like, and can be applied to electronic map scenes. The specific implementation scheme is as follows: obtaining internet information; carrying out named entity identification on internet information to extract a POI name contained in the information and a region name of a corresponding POI; retrieving and recalling POI in the electronic map based on the extracted POI name and the region name of the POI to determine a target POI related to internet information in the map; and associating the internet intelligence to the target POI in the electronic map. The disclosure also discloses a method, a device, equipment and a storage medium for displaying the POI associated information in the electronic map.

Description

Data processing method, device and equipment for POI (Point of interest) of electronic map

Technical Field

The disclosure relates to the technical field of artificial intelligence and big data, in particular to the fields of deep learning, cloud computing, NLP (non line segment) and intelligent search, and can be applied to electronic map scenes. Specifically, a method, a device, equipment and a storage medium for data processing of an electronic map point of interest (POI) and displaying of POI associated information are disclosed.

Background

The electronic map has a large number of points of Interest (POI for short), and has the potential of meeting the trip decision of the user.

Disclosure of Invention

The disclosure provides a method, a device, equipment, a storage medium and a computer program product for data processing of a point of interest (POI) of an electronic map and displaying POI associated information.

According to an aspect of the present disclosure, a data processing method for a point of interest (POI) of an electronic map is provided, which includes: obtaining internet information; carrying out named entity identification on the internet information so as to extract the POI name contained in the information and the region name of the corresponding POI; retrieving and recalling POI in the electronic map based on the extracted POI name and the region name of the POI to determine a target POI related to the internet information in the map; and associating the internet intelligence to the target POI in the electronic map.

According to another aspect of the present disclosure, there is also provided a method for displaying POI related information in an electronic map, including: aiming at POI concerned by a user in an electronic map, screening out at least one target information matched with the user from at least one internet information related to the POI; and displaying the at least one target intelligence in the electronic map.

According to another aspect of the present disclosure, there is provided a data processing apparatus for an electronic map point of interest (POI), including: the first acquisition module is used for acquiring Internet information; the extraction module is used for carrying out named entity identification on the internet information so as to extract the POI name contained in the information and the region name of the corresponding POI; the retrieval recall module is used for retrieving and recalling POI in the electronic map based on the extracted POI name and the area name of the POI to determine a target POI related to the internet information in the map; and the correlation module is used for correlating the internet intelligence to the target POI in the electronic map.

According to another aspect of the present disclosure, there is also provided an apparatus for displaying POI related information in an electronic map, including: the screening module is used for screening out at least one target message matched with the user from at least one internet message related to the POI aiming at the POI concerned by the user in the electronic map; and the first display module is used for displaying the at least one target intelligence in the electronic map.

According to another aspect of the present disclosure, there is provided an electronic device including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of the embodiments of the present disclosure.

According to another aspect of the present disclosure, there is provided a non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method according to the embodiments of the present disclosure.

According to another aspect of the present disclosure, a computer program product is provided, comprising a computer program which, when executed by a processor, implements a method according to embodiments of the present disclosure.

It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present disclosure, nor do they limit the scope of the present disclosure. Other features of the present disclosure will become apparent from the following description.

Drawings

The drawings are included to provide a better understanding of the present solution and are not to be construed as limiting the present disclosure. Wherein:

FIG. 1A illustrates a system architecture suitable for embodiments of the present disclosure;

FIGS. 1B and 1C illustrate scene diagrams in which embodiments of the disclosure may be implemented;

fig. 2 illustrates a flowchart of a data processing method of an electronic map POI according to an embodiment of the present disclosure;

FIG. 3 illustrates a schematic diagram of Internet intelligence in accordance with an embodiment of the disclosure;

FIG. 4 illustrates a content structure diagram of Internet intelligence in accordance with an embodiment of the disclosure;

fig. 5A and 5B illustrate schematic diagrams of internet intelligence in accordance with an embodiment of the present disclosure;

fig. 6 illustrates a flowchart of a method of presenting POI-associated information in an electronic map according to an embodiment of the present disclosure;

FIG. 7 illustrates a schematic diagram of offline presentation of Internet intelligence for a POI in accordance with an embodiment of the present disclosure;

fig. 8 illustrates a block diagram of a data processing apparatus of an electronic map POI according to an embodiment of the present disclosure;

fig. 9 is a block diagram illustrating an apparatus for presenting POI-associated information in an electronic map according to an embodiment of the present disclosure;

FIG. 10 illustrates a block diagram of an electronic device used to implement an embodiment of the disclosure.

Detailed Description

Exemplary embodiments of the present disclosure are described below with reference to the accompanying drawings, in which various details of the embodiments of the disclosure are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

In carrying out the inventive concepts of the present disclosure, the inventors discovered: it is currently difficult for a user to make a decision directly based on only the information provided by a conventional electronic map.

Specifically, although the conventional electronic map has a large number of POIs, the conventional electronic map can provide relatively complete basic information (such as positions of POIs, telephone calls, business hours, and the like) and route planning capability for each POI. However, the user comments and the like provided by the traditional electronic map can describe the information of the real experience of the user on the POI, and have the problems of insufficient coverage, poor timeliness and poor quality. Thus, relying on this information alone is not sufficient for the user to decide whether a place is available or worth.

In carrying out the disclosed inventive concept, the inventors have also discovered that: actually, there is abundant description information such as comments, notes, strategies and the like for each POI on the internet, and if the data can be introduced into an electronic map to realize automatic, personalized and scenic POI construction, the use experience of a user on the electronic map can be upgraded, for example, the user can complete travel destination decision and route planning through one application of the electronic map. In addition, the data of the electronic map can be more accurate and complete by introducing the data into the electronic map, which is very helpful for both users and the electronic map.

Based on this, the embodiment of the disclosure provides a data processing scheme of an electronic map POI and a scheme of displaying POI related information in the electronic map, which can improve the data quality of the electronic map and upgrade the use experience of the user on the electronic map, for example, the user can complete travel destination decision and route planning through one application of the electronic map.

The present disclosure will be described in detail below with reference to the drawings and specific embodiments.

A system architecture suitable for embodiments of the present disclosure is presented below.

FIG. 1A illustrates a system architecture suitable for embodiments of the present disclosure. It should be noted that fig. 1A is only an example of a system architecture to which the embodiments of the present disclosure may be applied to help those skilled in the art understand the technical content of the present disclosure, and does not mean that the embodiments of the present disclosure may not be used in other environments or scenarios.

As shown in fig. 1A, the system architecture 100 may include: a server 101 and

terminal devices

102, 103 and 104.

In the embodiment of the present disclosure, the server 101 may obtain internet information from different sources, and automatically associate the obtained internet information with corresponding electronic map POI data, so that the internet information may be mounted on the electronic map.

Meanwhile, the server 101 may also generate one or more tags for each piece of internet intelligence, so that the user can quickly obtain the key information points described by each piece of internet intelligence.

Meanwhile, the server 101 may perform quality determination for each internet message so that a user can preferentially display good internet messages in the process of using the electronic map.

In the embodiment of the disclosure, after the internet information is introduced into the electronic map, the internet information associated with the POI can be displayed in a personalized manner, so that personalized requirements of different users can be met. For example, different internet intelligence can be presented for different users for the same POI. For example, an "Yihe garden" as one POI, scenes that the elder and the child want to watch and activities that the child wants to experience are generally different, and thus, for the users with the elder and for the children, when the users search for the "Yihe garden" using the electronic map, internet intelligence different from that regarding the "Yihe garden" may be presented.

Similarly, in the embodiment of the disclosure, after the internet intelligence is introduced into the electronic map, the internet intelligence associated with the POI can be displayed in a scene to meet the scene requirements of the user. For example, different internet intelligence can be shown in different seasons for the same POI. For example, for an "Yihe park," on winter, internet information describing snow appreciation and skating on an "Yihe park" winter may be presented; on the spring day, internet information describing the flower appreciation and boating on the spring day of the "summer park" may be presented, and so on.

Through the embodiment of the disclosure, the map decision information is constructed and enriched based on the internet information, so that a user can complete the decision of the travel destination and route planning through one application of the electronic map without acquiring the decision information such as the internet information through other channels.

It should be understood that the number of servers and terminal devices in FIG. 1A is merely illustrative. There may be any number of servers and terminal devices, as desired for implementation.

Application scenarios suitable for embodiments of the present disclosure are presented below.

Fig. 1B and 1C illustrate scene diagrams in which embodiments of the present disclosure may be implemented.

The traditional electronic map provides insufficient decision information, which mainly comprises: basic information of the POI and information that a user comments the POI in the electronic map. Wherein, the basic information of the POI comprises: hours of operation, location, telephone, price of goods or services, etc. The user reviews the information of the POI in the electronic map, and the situations of insufficient information coverage, poor timeliness and poor quality generally exist. Thus, this information can only provide the user with a basic threshold for making decisions, which is not sufficient for the user to make decisions.

The comment information shown in fig. 1B is information for the user to comment a POI in the electronic map. Obviously, the comment information has little information quantity, insufficient content and poor information quality.

The comment information shown in fig. 1C is information on the internet. Obviously, the information quantity of the information is more, the content is richer, and the information quality is better.

As can be seen from fig. 1B and 1C, compared with internet information, the comment information on the map has the advantages that the internet information data is updated more timely, the content is better, and the user decision is facilitated, and the map data does not contribute enough in the user decision aspect, and the user cannot easily decide whether a place is worth or not only by relying on the map data.

The internet information shown in fig. 1C is associated with the map POI of the "Yihe garden", so that the defects of insufficient data quantity, poor data content, untimely data update and the like of the traditional electronic map can be overcome.

According to an embodiment of the disclosure, the disclosure provides a data processing method of a point of interest (POI) of an electronic map.

Fig. 2 illustrates a flowchart of a data processing method of an electronic map POI according to an embodiment of the present disclosure.

As shown in fig. 2, a data processing method 200 of an electronic map POI includes: operations S210 to S240.

In operation S210, internet intelligence is acquired.

In operation S220, named entity recognition is performed on internet intelligence to extract a POI name included in the intelligence and a region name to which the corresponding POI belongs.

In operation S230, a retrieval recall is performed on the POI in the electronic map based on the extracted POI name and the name of the area to which the POI belongs to determine a target POI associated with internet intelligence in the map.

In operation S240, internet intelligence is associated to a target POI in an electronic map.

It should be noted that, in operation S210, internet intelligence may be obtained from different sources. For example, it may be obtained from a partner, or directly crawled from the network. In operation S220, the name of the region to which the POI belongs may include a name of a city to which the POI belongs, and the like. In operation S240, the internet intelligence data may be mapped with the POI data of the target POI to be associated with each other.

In some embodiments, in operation S230, at the time of the retrieval recall, the extracted information (including the POI name and the name of the area to which the POI belongs) may be subjected to similarity matching with the map POI data, and finally, the POI with the highest correlation may be matched out as the target POI associated with the internet intelligence acquired in operation S210.

It should be understood that although there is richer decision information about the intelligence data on the internet, different intelligence contents usually have different emphasis (for example, introduction is biased toward scenic spots, personal feeling is biased, etc.), if these intelligence data are not introduced into the electronic map, the user generally needs to go through multiple channels and check multiple articles to determine whether a place is worth, and the user also needs to go back and forth between these channels and the electronic map, and finally go back to the map to query the position of the POI and the navigation scheme, the business hours, etc. to make the final decision.

Therefore, through the embodiment of the disclosure, abundant internet information is introduced into the electronic map, so that the map data quality can be improved, the problems of insufficient and poor decision information and untimely updating of the traditional electronic map are solved, and the trip decision of a user is facilitated, for example, the user can obtain sufficient decision information through one application of the electronic map and complete the trip destination decision and route planning. And meanwhile, the experience of the user in using the electronic map can be improved. And by improving the use experience of the user, the contribution of the user to the map data can be further promoted, and the quality of the map data is indirectly improved.

As an alternative embodiment, retrieving the POI in the electronic map to determine the target POI associated with the internet intelligence in the map based on the extracted POI name and the name of the area to which the POI belongs may include the following operations.

And retrieving and recalling the POI in the electronic map based on the extracted POI name and the region name of the POI to determine at least one recalled POI.

At least one first text is obtained for at least one recalled POI, wherein each first text is associated with one POI of the at least one recalled POI.

And acquiring second text associated with the extracted POI, wherein the extracted POI corresponds to the extracted POI name.

At least one candidate POI is selected from the at least one recalled POI based on a similarity of each text in the at least one first text to the second text.

And selecting the POI with the highest relevance with the extracted POI from the at least one candidate POI as the target POI.

In some embodiments, after recalling at least one POI, the internet intelligence to be associated and the related information of each recalled POI in the at least one POI may be directly subjected to fine-grained similarity matching, and finally, the POI with the highest relevance is matched out as the target POI associated with the internet intelligence. It should be understood that performing fine-grained similarity matching directly consumes more computing resources.

In other embodiments, after the at least one POI is recalled, coarse-grained similarity matching may be performed on internet intelligence to be associated with relevant information of each recalled POI in the at least one POI, and then fine-grained similarity matching may be performed, and then a POI with the highest relevance is matched out as a target POI associated with the internet intelligence. It should be appreciated that performing coarse-grained similarity matching followed by fine-grained similarity matching consumes less computing resources than performing fine-grained similarity matching directly.

For example, the coarse-grained and fine-grained similarity matching scheme may include the following operations: at least one recalled POI (e.g., model book bureau-waxberry bamboo plaza, model book bureau-poem space, model book bureau-sky bridge south street shop, etc.) can be determined by retrieving and recalling map POI data by using a POI name (e.g., model book bureau) extracted from Internet information to be associated and a region name (e.g., city name, such as Beijing) to which the POI belongs. Further, in coarse-grained similarity matching, text relevance of the recalled POI and the extracted POI may be calculated according to the retrieval recall result, and N POIs with the largest similarity may be taken as the association candidate result, where N may be not greater than 20. Still further, in the fine-grained similarity matching, for the associated candidate result, the correlation between the rich content of the candidate POI (such as information of telephone, business hours, detailed addresses, pictures, and the like) and the rich content of the extracted POI may be calculated, and the highest correlation may be taken as the final output result.

Through the embodiment of the disclosure, through similarity matching with different granularities twice, one POI which is most relevant to the extracted POI in the candidate POI can be screened out, and the corresponding Internet information data is mapped with the data of the POI, so that the introduction of the Internet information in the electronic map is finally realized. The screening mode can save a large amount of computing resources.

Further, as an alternative embodiment, selecting a POI with the highest relevance to the extracted POI from the at least one candidate POI as the target POI may include: and selecting the POI with the highest relevance as the target POI based on the basic information of each POI in the at least one candidate POI and the extracted basic information of the POI.

Specifically, in the fine-grained similarity matching, for the associated candidate result, the relevance between the basic information of the candidate POI (i.e., rich content, such as information of telephone, business hours, detailed addresses, pictures, etc.) and the basic information of the extracted POI may be calculated, and the highest relevance is taken as the final output result.

With continued reference to the above example, for internet intelligence related to "model office", it can be identified that the "model office" to which the intelligence relates is actually "model office-poem space" by the "model office's outlook picture" as shown in fig. 3 contained in the intelligence. Thus, the intelligence can be associated with the map POI, the "model book office-poem space".

Through the embodiment of the disclosure, in the fine-grained similarity matching, the basic information is used for similarity matching, so that the accuracy of the matching result can be improved.

As an alternative embodiment, the method may further comprise performing at least one of the following operations for ranking internet intelligence in a particular presentation.

And acquiring a timeliness evaluation value of the internet information.

And acquiring a quality evaluation value of the internet information.

And acquiring an information quantity evaluation value of the internet information.

Wherein the specific presentation comprises at least one of: personalized display and scene display.

In the embodiment of the disclosure, quality judgment can be performed on internet information introduced into the electronic map, so that the internet information associated with each POI can be displayed based on the judgment result when the electronic map is subsequently displayed, and a high-quality information display result is provided for a map user, so that the user can make a trip decision.

In the disclosed embodiment, the decision dimension of internet intelligence quality may include, but is not limited to, at least one of: timeliness, content structure, information amount of the decision information (richness of the decision information), and the like.

In timeliness, newer intelligence of data is more helpful for user decision making. The evaluation value of the timeliness can be expressed by using the current time difference of the publication time, and the smaller the value, the newer the data, and the better the timeliness. For example, assuming that the current time is 2021.03.29, the timeliness evaluation value of the intelligence with publication time 2021.03.28 can be expressed as 1 point.

In the content structure, the clearer the content structure is, the more helpful the user can acquire decision information. The content structure can be evaluated through factors such as the number of paragraphs, the image-text proportion, the paragraph interval and the like, and a corresponding evaluation value is obtained.

Illustratively, the content structure shown in fig. 4 is clearly segmented, easier to read, and more helpful for the user to make decisions, as compared to internet intelligence where the content structure is not segmented. Thus, the intelligence shown in fig. 4 can obtain a higher evaluation value on the content structure than the internet intelligence having no section of the content structure.

In terms of decision information richness, the richer the content, the more beneficial the user can obtain sufficient decision information. The key decision information in the internet information can be extracted, and the richness of the decision information is scored through the information such as the number of pictures and the number of characters, so that the evaluation value of the richness of the decision information is obtained.

For example, as compared with the intelligence shown in fig. 5A and fig. 5B, the intelligence shown in fig. 5A only records the mood of the user, and the intelligence shown in fig. 5B highlights the characteristics of the POI, such as 100 almanac church, etc., which is more helpful for the user to make decisions. Thus, the intelligence shown in fig. 5B can obtain a higher evaluation value in decision information richness than the intelligence shown in fig. 5A.

Through the embodiment of the disclosure, quality judgment is carried out on the internet information introduced into the map, and when the internet information associated with each POI is displayed in the electronic map subsequently, high-quality information can be displayed for a map user based on the judgment result, so that the user can make a trip decision.

Further, as an optional embodiment, obtaining a quality evaluation value of the internet information includes: based on the content structure of the internet information, a quality evaluation value is obtained. The more reasonable information of the content structure is, the more beneficial the user to obtain the decision information.

It should be noted that, for the method for obtaining the quality evaluation value of internet information based on the content structure, reference may be made to the relevant description in the foregoing embodiments, and details are not repeated here.

As an alternative embodiment, the method may further comprise: at least one tag is generated for internet intelligence.

It will be appreciated that most POIs have more than one attractive feature, and that in different scenarios, the decision factors may vary for different users, even for the same POI. Thus, for internet intelligence introduced into a map, POI characteristics involved in mining intelligence can be mined based on deep learning, and one or more tags can be generated based on the mining results. Wherein the tags are used to describe the POI features by keywords. For example, a corresponding tag may be generated for each POI feature. The label categories may include, but are not limited to, at least one of the following: scene class labels, people classes, features classes. Wherein, the scene class label comprises the following information: season, weekday/weekend, etc. The crowd class includes the following information: is suitable for carrying children and the old, etc. The feature classes include the following information: convenient parking, need of reservation, etc.

Through the embodiment of the disclosure, the corresponding label is generated for the introduced internet information, so that the requirements of the user on individuation and scene decision can be met, and the user can conveniently and quickly obtain the key decision information from the information.

According to an embodiment of the disclosure, a method for displaying POI (point of interest) associated information in an electronic map is provided.

Fig. 6 illustrates a flowchart of a method for presenting POI association information in an electronic map according to an embodiment of the present disclosure.

As shown in fig. 6, a method 600 for displaying POI association information in an electronic map may include: operations S610 to S620.

In operation S610, at least one piece of target intelligence matching a user is screened from at least one piece of internet intelligence associated to a POI focused by the user in an electronic map.

In operation S620, at least one target intelligence is presented in the electronic map.

It should be understood that, in the embodiment of the present disclosure, the electronic map may automatically associate corresponding internet information with the POI data through the POI information association method provided in the above embodiment, and details are not described herein again.

In some embodiments, the POIs of interest to the user may be POIs searched for by the user in the electronic map. In other embodiments, the POIs of interest to the user may be POIs clicked on by the user in the electronic map.

Further, in some embodiments, the internet intelligence that matches the user may be internet intelligence that matches at least one of user characteristics, user interests, and user behavior. In other embodiments, the internet intelligence that matches the user may be internet intelligence that matches the scenario in which the user is located.

Through the embodiment of the disclosure, different internet information can be displayed for the same POI in an individualized and scene mode for different users, and the method and the device are more beneficial to the trip decision of different users, for example, the users can obtain decision information more conforming to the characteristics of the users, and the decision efficiency of the users is improved.

It should be understood that the decision information provided by the conventional electronic map at present has the situations of insufficient richness, poor quality and poor timeliness, and a user cannot decide a travel destination only through the electronic map or needs to comprehensively decide by combining other information on the internet. By the embodiment of the disclosure, the problem that the user cannot directly make a trip decision on the electronic map (only using the electronic map) at present can be solved.

As an alternative embodiment, for a POI focused by a user in an electronic map, screening at least one target intelligence matched with the user from at least one internet intelligence associated to the POI, comprising: screening at least one target information from at least one internet information based on at least one of the following information: user characteristics of the user, user interests of the user, user behaviors of the user, and scene information.

In the embodiment of the disclosure, for the POI focused by the user in the map, one or more target informations suitable for the characteristics of the user can be matched for the user to be displayed as high-quality decision information based on one or more of user characteristics, user interests, user behaviors and scene information (such as seasons, holidays, whether the user is in a different place, and the like). For example, in winter, the user may be provided with winter-related decision content.

In the embodiment of the disclosure, the preferred intelligence content can be scored, so as to provide the user with more valuable decision information under the current scene. Wherein, the scoring calculation formula can be as follows:

Score＝f(user_profile，user_interest，user_action，scene，item_info)

in the formula, user-profile represents user characteristic information and comprises information such as gender, age and the like of a user; user-interest represents user interest information, such as family, cafe, etc.; user _ action represents the interaction behavior of the user and the electronic map, and mainly comprises retrieval behavior, base map stamp point behavior and the like; scene represents scene information, including information such as current season; item-info is content information, including tag information of the content, content quality, and the like; f is a ranking function, can be a ranking model obtained through supervised training, and can select DCN (Deep & Cross Network) and the like in application.

Taking the scenario as an example, whether the user goes to the summer palace or not is more concerned about whether the flower is enjoyable or not, and therefore, the corresponding intelligence can be matched for the user based on the scenario information to serve as the decision information. For whether to go to the summer palace in winter, the user can be provided with skating and relevant strategies of seventeen-hole bridges in winter to assist the user in decision making.

By taking user information such as user characteristics, user interests, user behaviors and the like as examples, the parent-child content can be displayed in advance and prominently in consideration of users with children, so that the decision of the users can be guided fully and conveniently.

By the aid of the method and the device, the decision content which is more attractive to the user can be highlighted for the user on the basis of scene information, user characteristics, user interests, user behaviors and the like, and personalized and scene decision requirements of the user are fully met.

As an alternative embodiment, the method further comprises: at least one tag of each target intelligence is presented while at least one target intelligence is presented.

It should be understood that, in the embodiment of the present disclosure, the electronic map may automatically generate one or more corresponding tags for each piece of internet intelligence introduced into the map by using the tag generation method provided in the above embodiment, which is not described herein again.

In the map, when intelligence associated with the POI is displayed for the POI, a corresponding tag can be displayed to further facilitate decision making of the user.

As an alternative embodiment, at least one tag showing each target intelligence comprises: presenting at least one label based on at least one of: user characteristics of the user, user interests of the user, user behaviors of the user, and scene information.

In the embodiment of the disclosure, the decision content and the label which are more attractive to the user can be highlighted for the user based on the scene information, the user characteristics, the user interests, the user behaviors and the like, so that the personalized decision requirements of the user are fully met.

When the tags are displayed, the most relevant N tags in the contents are extracted for different users to be highlighted based on user information (such as user characteristics, user interests, user behaviors and the like) and in combination with the current scene, so that the users can be helped to make a quick decision. The label scoring formula for content may be as follows:

Score＝g(scene_info，user_info，tag_info)

in the formula, scene _ info represents scene information, such as spring, working day, dinner time and the like; user _ info indicates user information, such as whether children are present or not, and tag _ info indicates decision content tag information, such as suitability for children. g (—) is a ranking function, and may be a ranking model obtained by supervised training, and dssm (deep Structured Semantic model) and the like may be selected in the application.

Further, taking the scenario as an example, for whether or not the summer is in the summer palace, the user may be provided with a skating, related offensive contents of the winter seventeen-hole bridge, and a label (e.g., "winter summer palace") to assist the user in making a decision.

In addition, by taking user information such as user characteristics, user interests, user behaviors and the like as an example, considering that a user with children can advance the parent-child content, highlight parent-child labels (such as 'parent-child'), and fully facilitate and guide user decision making.

By the embodiment of the disclosure, the information of the map can be effectively associated with the information of the internet, effective and high-quality decision information can be provided for the user according to the current scene and the current user information, and the decision efficiency of the user is improved. For example, different labels are presented for different users, which is more helpful for the decision of different users.

The implementation principle of the embodiment of the present disclosure will be explained in detail below with reference to fig. 7.

As shown in fig. 7, data can be imported into the electronic map based on internet intelligence, and the imported data can be associated and mapped with POI data in the map by the method provided in the foregoing embodiment, so as to implement data hooking of the electronic map. Thereafter, one or more tags may also be generated for each introduced internet intelligence and a quality determination made. This may be done by off-line operation. When the user applies the electronic map introducing internet information on line, high-quality information decision information can be matched for the user and personalized sequencing display can be carried out on the basis of current user information and current scene information and the quality judgment result, and meanwhile, labels of all the information matched with the user and the scene can be extracted for convex display on the basis of the current user information and the current scene information when the information is displayed.

According to the embodiment of the disclosure, the disclosure further provides a data processing device of the POI of the electronic map.

Fig. 8 illustrates a block diagram of a data processing apparatus of an electronic map POI according to an embodiment of the present disclosure.

As shown in fig. 8, the data processing apparatus 800 for an electronic map point of interest POI includes: a first acquisition module 810, an extraction module 820, a retrieval recall module 830, and an association module 840.

The first obtaining module 810 is configured to obtain internet intelligence.

The extracting module 820 is configured to perform named entity identification on internet intelligence to extract a POI name included in the intelligence and a region name to which the corresponding POI belongs.

And the retrieval recall module 830 is configured to recall the POI in the electronic map based on the extracted POI name and the name of the area to which the POI belongs, so as to determine a target POI associated with internet information in the map.

The associating module 840 is configured to associate the internet intelligence with a target POI in the electronic map.

As an alternative embodiment, the retrieval recall module includes: the retrieval recall unit is used for retrieving and recalling the POI in the electronic map based on the extracted POI name and the area name of the POI to determine at least one recalled POI; the first acquiring unit is used for acquiring at least one first text aiming at least one recalled POI, wherein each first text is associated with one POI in the at least one recalled POI; a second acquiring unit configured to acquire a second text associated with the extracted POI, wherein the extracted POI corresponds to the extracted POI name; the first selecting unit is used for selecting at least one candidate POI from at least one recalled POI based on the similarity between each text in at least one first text and the second text; and a second selecting unit configured to select, as the target POI, a POI with the highest relevance to the extracted POI from the at least one candidate POI.

As an alternative embodiment, the second selecting unit is further configured to: and selecting the POI with the highest relevance as the target POI based on the basic information of each POI in the at least one candidate POI and the extracted basic information of the POI.

As an alternative embodiment, the apparatus further comprises: a second obtaining module for performing at least one of the following operations for ranking internet intelligence in a particular show: acquiring a timeliness evaluation value of internet information; acquiring a quality evaluation value of internet information; acquiring an information quantity evaluation value of internet information; wherein the specific presentation comprises at least one of: personalized display and scene display.

As an alternative embodiment, the second obtaining module is further configured to: based on the content structure of the internet information, a quality evaluation value is obtained.

As an alternative embodiment, the apparatus further comprises: the generation module is used for generating at least one label aiming at the internet information.

It should be noted that, the embodiments of the apparatus part of the present disclosure and the embodiments of the method part of the present disclosure are the same or similar, and the technical problems to be solved and the end effects to be achieved are also the same or similar, and are not described herein again.

According to the embodiment of the disclosure, the disclosure further provides a device for displaying POI (point of interest) associated information in the electronic map.

Fig. 9 is a block diagram illustrating an apparatus for presenting POI-associated information in an electronic map according to an embodiment of the present disclosure.

As shown in fig. 9, the apparatus for displaying POI related information in an electronic map includes: a screening module 910 and a first presentation module 920.

Specifically, the filtering module 910 is configured to, for a POI focused by a user in the electronic map, filter out at least one piece of target intelligence matching the user from at least one piece of internet intelligence associated with the POI.

The first display module 920 is configured to display at least one target intelligence in an electronic map.

As an alternative embodiment, the screening module is further configured to: screening at least one target information from at least one internet information based on at least one of the following information: user characteristics of the user, user interests of the user, user behaviors of the user, and scene information.

As an alternative embodiment, the apparatus further comprises: the second display module is used for displaying at least one target intelligence and at least one label of each target intelligence.

As an alternative embodiment, the second display module is further configured to: presenting at least one label based on at least one of: user characteristics of the user, user interests of the user, user behaviors of the user, and scene information.

The present disclosure also provides an electronic device, a readable storage medium, and a computer program product according to embodiments of the present disclosure.

FIG. 10 illustrates a schematic block diagram of an example electronic device 1000 that can be used to implement embodiments of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the disclosure described and/or claimed herein.

As shown in fig. 10, the electronic device 1000 includes a computing unit 1001 that can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM)1002 or a computer program loaded from a storage unit 1008 into a Random Access Memory (RAM) 1003. In the RAM 1003, various programs and data necessary for the operation of the electronic apparatus 1000 can also be stored. The calculation unit 1001, the ROM 1002, and the RAM 1003 are connected to each other by a bus 1004. An input/output (I/O) interface 1005 is also connected to bus 1004.

A number of components in the electronic device 1000 are connected to the I/O interface 1005, including: an input unit 1006 such as a keyboard, a mouse, and the like; an output unit 1007 such as various types of displays, speakers, and the like; a storage unit 1008 such as a magnetic disk, an optical disk, or the like; and a communication unit 1009 such as a network card, a modem, a wireless communication transceiver, or the like. The communication unit 1009 allows the device 1000 to exchange information/data with other devices through a computer network such as the internet and/or various telecommunication networks.

Computing unit 1001 may be a variety of general and/or special purpose processing components with processing and computing capabilities. Some examples of the computing unit 1001 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various dedicated Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, and so forth. The calculation unit 1001 executes the respective methods and processes described above, such as a data processing method of an electronic map POI (a method of showing POI association information in an electronic map). For example, in some embodiments, the data processing method of the electronic map POI (method of displaying POI association information in the electronic map) may be implemented as a computer software program, which is tangibly embodied in a machine-readable medium, such as the storage unit 1008. In some embodiments, part or all of the computer program may be loaded and/or installed onto device 1000 via ROM 1002 and/or communications unit 1009. When the computer program is loaded into the RAM 1003 and executed by the computing unit 1001, one or more steps of the above-described data processing method of the electronic map POI (method of presenting POI association information in the electronic map) may be performed. Alternatively, in other embodiments, the computing unit 1001 may be configured to perform the data processing method of the electronic map POI (the method of presenting POI association information in the electronic map) by any other suitable means (e.g., by means of firmware).

Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.

Program code for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on 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.

To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), and the Internet.

The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The Server may be a cloud Server, which is also called a cloud computing Server or a cloud host, and is a host product in a cloud computing service system, so as to solve the defects of high management difficulty and weak service extensibility in a traditional physical host and a VPS service ("Virtual Private Server", or "VPS" for short). The server may also be a server of a distributed system, or a server incorporating a blockchain.

It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present disclosure may be executed in parallel, sequentially, or in different orders, as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved, and the present disclosure is not limited herein.

In the technical scheme of the disclosure, the related user information is recorded, stored, applied and the like, which all accord with the regulations of related laws and regulations and do not violate the good customs of the public order.

The above detailed description should not be construed as limiting the scope of the disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present disclosure should be included in the scope of protection of the present disclosure.

Claims

1. A data processing method for a point of interest (POI) of an electronic map comprises the following steps:

obtaining internet information;

carrying out named entity identification on the internet information so as to extract the POI name contained in the information and the region name of the corresponding POI;

retrieving and recalling POI in the electronic map based on the extracted POI name and the region name of the POI to determine a target POI related to the internet information in the map; and

and associating the internet intelligence to the target POI in the electronic map.

2. The method of claim 1, wherein the retrieving a POI in an electronic map based on the extracted POI name and a region name to which the POI belongs to determine a target POI associated with the internet intelligence in the map comprises:

retrieving and recalling POI in the electronic map based on the extracted POI name and the region name of the POI to determine at least one recalled POI;

obtaining at least one first text for the at least one recalled POI, wherein each first text is associated with one POI of the at least one recalled POI;

acquiring a second text associated with the extracted POI, wherein the extracted POI corresponds to the extracted POI name;

selecting at least one candidate POI from the at least one recalled POI based on a similarity of each text of the at least one first text to the second text; and

3. The method of claim 2, wherein selecting the POI most relevant to the extracted POI from the at least one candidate POI as the target POI comprises:

and selecting the POI with the highest relevance as the target POI based on the basic information of each POI in the at least one candidate POI and the basic information of the extracted POI.

4. The method of any of claims 1 to 3, further comprising performing at least one of the following operations for ranking the internet intelligence in a particular show:

acquiring a timeliness evaluation value of the internet information;

acquiring a quality evaluation value of the internet information;

acquiring an information quantity evaluation value of the internet information;

5. The method of claim 4, wherein obtaining a quality assessment value of the internet intelligence comprises:

and acquiring the quality evaluation value based on the content structure of the internet information.

6. The method of any of claims 1 to 5, further comprising:

at least one tag is generated for the internet intelligence.

7. A method for displaying POI (point of interest) associated information in an electronic map comprises the following steps:

aiming at POI concerned by a user in an electronic map, screening out at least one target information matched with the user from at least one internet information related to the POI; and

and displaying the at least one target intelligence in the electronic map.

8. The method of claim 7, wherein the screening at least one piece of target intelligence matching the user from at least one piece of internet intelligence associated to the POI for POIs of interest to the user in the electronic map comprises:

screening the at least one piece of target information from the at least one piece of internet information based on at least one of: user characteristics of the user, user interests of the user, user behaviors of the user, and scene information.

9. The method of claim 7 or 8, further comprising:

at least one tag of each target intelligence is presented while the at least one target intelligence is presented.

10. The method of claim 9, wherein the at least one tag that presents each target intelligence comprises:

presenting the at least one label based on at least one of: user characteristics of the user, user interests of the user, user behaviors of the user, and scene information.

11. A data processing device of a point of interest (POI) of an electronic map comprises the following components:

the first acquisition module is used for acquiring Internet information;

the extraction module is used for carrying out named entity identification on the internet information so as to extract the POI name contained in the information and the region name of the corresponding POI;

the retrieval recall module is used for retrieving and recalling POI in the electronic map based on the extracted POI name and the area name of the POI to determine a target POI related to the internet information in the map; and

and the association module is used for associating the internet intelligence to the target POI in the electronic map.

12. The apparatus of claim 11, wherein the retrieve recall module comprises:

the retrieval recall unit is used for retrieving and recalling the POI in the electronic map based on the extracted POI name and the area name to which the POI belongs so as to determine at least one recalled POI;

a first obtaining unit, configured to obtain at least one first text for the at least one recalled POI, where each first text is associated with one POI of the at least one recalled POI;

a second acquiring unit configured to acquire a second text associated with the extracted POI, wherein the extracted POI corresponds to the extracted POI name;

a first selecting unit, configured to select at least one candidate POI from the at least one recalled POI based on a similarity between each text in the at least one first text and the second text; and

and a second selecting unit, configured to select, from the at least one candidate POI, a POI with a highest relevance to the extracted POI as the target POI.

13. The apparatus of claim 12, wherein the second selecting unit is further configured to:

14. The apparatus of any of claims 11 to 13, further comprising: a second obtaining module for performing at least one of the following operations for ranking the internet intelligence in a particular show:

acquiring a timeliness evaluation value of the internet information;

acquiring a quality evaluation value of the internet information;

acquiring an information quantity evaluation value of the internet information;

15. The apparatus of claim 14, wherein the second obtaining means is further configured to:

16. The apparatus of any of claims 11 to 15, further comprising:

and the generating module is used for generating at least one label aiming at the internet information.

17. An apparatus for displaying POI associated information in an electronic map, comprising:

the screening module is used for screening out at least one target message matched with the user from at least one internet message related to the POI aiming at the POI concerned by the user in the electronic map; and

the first display module is used for displaying the at least one target intelligence in the electronic map.

18. The apparatus of claim 17, wherein the screening module is further configured to:

19. The apparatus of claim 17 or 18, further comprising:

and the second display module is used for displaying at least one label of each target intelligence while displaying the at least one target intelligence.

20. The apparatus of claim 19, wherein the second presentation module is further configured to:

21. An electronic device, comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-10.

22. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any one of claims 1-10.

23. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any one of claims 1-10.