WO2017008653A1 - Poi服务提供方法、poi数据处理方法及装置 - Google Patents

Poi服务提供方法、poi数据处理方法及装置 Download PDF

Info

Publication number
WO2017008653A1
WO2017008653A1 PCT/CN2016/088323 CN2016088323W WO2017008653A1 WO 2017008653 A1 WO2017008653 A1 WO 2017008653A1 CN 2016088323 W CN2016088323 W CN 2016088323W WO 2017008653 A1 WO2017008653 A1 WO 2017008653A1
Authority
WO
WIPO (PCT)
Prior art keywords
poi
processed
unpopular
threshold
service
Prior art date
Application number
PCT/CN2016/088323
Other languages
English (en)
French (fr)
Inventor
王瑜
王金明
王瑞
叶舟
Original Assignee
阿里巴巴集团控股有限公司
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by 阿里巴巴集团控股有限公司 filed Critical 阿里巴巴集团控股有限公司
Publication of WO2017008653A1 publication Critical patent/WO2017008653A1/zh

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29—Geographical information databases

Definitions

  • the present application relates to the field of Internet technologies, and in particular, to a POI service providing method, a POI data processing method, and an apparatus.
  • POI Point Of Interest
  • a user requests a taxi service, and its destination is “xx village”. Most taxi drivers do not know the exact location of “xx village”, so it is difficult for the user to obtain the taxi service of the “xx village”. .
  • aspects of the present application provide a POI service providing method, a POI data processing method, and apparatus for improving the probability of successfully acquiring a POI service.
  • An aspect of the present application provides a POI service providing method, including:
  • the target POI belongs to the unpopular POI
  • obtain the popular POI bound by the target POI the unpopular POI refers to a POI whose public popularity is less than the first threshold
  • the popular POI refers to the public visibility greater than or equal to the second threshold.
  • the second threshold is greater than or equal to the first threshold;
  • Another aspect of the present application provides a POI data processing method, including:
  • the unpopular POI refers to a POI whose public popularity is less than a first threshold
  • the hot POI is Refers to a POI whose public visibility is greater than or equal to a second threshold, the second threshold being greater than or equal to the first threshold
  • a POI service providing apparatus includes:
  • a receiving module configured to receive a POI service request of the user, where the POI service request is directed to the target POI;
  • An obtaining module configured to acquire a popular POI bound to the target POI when the target POI belongs to an unpopular POI, where the unpopular POI refers to a POI whose public popularity is less than a first threshold, and the popular POI refers to a public visibility greater than Or a POI of a second threshold, the second threshold being greater than or equal to the first threshold;
  • a POI data processing apparatus including:
  • An obtaining module for obtaining public visibility of at least two POIs to be processed
  • a determining module configured to determine, according to the public awareness of the at least two POIs to be processed, the unpopular POI and the hot POI in the at least two POIs to be processed, where the unpopular POI refers to a POI whose public visibility is less than the first threshold.
  • the hot POI refers to a POI whose public popularity is greater than or equal to a second threshold, and the second threshold is greater than or equal to the first threshold;
  • a binding module configured to bind the unpopular POI to the hot POI.
  • the acquisition is tied thereto.
  • the popular POI according to the target POI and the popular POI bound to it, provides services to the user, which can reduce the probability that the unpopular POI is not easily recognized and can not obtain the service, which is beneficial to improve the probability of successful service acquisition.
  • FIG. 1 is a schematic flowchart of a method for providing a POI service according to an embodiment of the present application
  • FIG. 2 is a schematic flowchart of a POI data processing method according to an embodiment of the present application
  • FIG. 3 is a schematic structural diagram of a POI service providing apparatus according to an embodiment of the present application.
  • FIG. 4 is a schematic structural diagram of a POI data processing apparatus according to an embodiment of the present application.
  • FIG. 1 is a schematic flowchart of a method for providing a POI service according to an embodiment of the present application. As shown in Figure 1, the method includes:
  • the POI corresponds to a specific geographic location, which is a name for the geographic location.
  • users can get a variety of services, such as road information services related to POI, taxi services, catering services, navigation services, search services, location services, driver services, housekeeping services, travel At least one of a recommendation service, a health service, a study counseling service, and an entertainment service.
  • the unpopular POI refers to the POI whose public awareness is less than the first threshold; the popular POI refers to the POI whose public awareness is greater than or equal to the second threshold.
  • the public awareness of POI can be measured by different standards, and the first threshold and the second threshold will have different definitions.
  • the public awareness of the POI can be measured according to the number of users who know the POI. The more users who know the POI, the higher the public awareness of the POI; if the user who knows the POI exceeds a certain threshold (for example, the second threshold)
  • the POI is considered to be a popular POI; if the user who knows the POI is below a certain threshold (eg, the first threshold), the POI is considered to be an unpopular POI.
  • the first threshold and the second threshold refer to the threshold of the number of users, respectively.
  • the public awareness of the POI may be measured according to the number of times the POI is requested.
  • the first threshold and the second threshold are thresholds for the number of requests, respectively.
  • the number of times the POI is requested may be represented by the number of POI service requests directed to the POI.
  • the POI is considered to be a popular POI; if the amount of information at the POI is below a certain threshold (eg, the first threshold), the POI is considered to be an unpopular POI.
  • the first threshold and the second threshold are thresholds for the amount of information, respectively.
  • the amount of information at the POI may be at least one of a traffic volume, a traffic volume, a number of mobile terminals, a number of popular merchants, and the like.
  • the values of the first threshold and the second threshold are not limited in this embodiment.
  • the first threshold and the second threshold will vary in value depending on the measure of public visibility.
  • the second threshold may be greater than the first threshold or may be equal to the first threshold.
  • the first threshold and the second threshold are allowed to be adjusted. For example, if the number of POI service requests corresponding to all the POIs in the at least two POIs to be processed is greater than or equal to the second threshold, the first threshold and the second threshold may be adjusted, for example, the first threshold and the second threshold are both increased. So that at least two of the POIs to be processed have both the unpopular POI and the hot POI.
  • the popular POI and the unpopular POI of at least two POIs to be processed may also be directly specified by the user.
  • the unpopular POI is bound to the hot POI in advance.
  • the unpopular POI is a POI that has a certain relationship with the popular POI.
  • the unpopular POIs with similar positions are bound to the popular POIs, for example, the unpopular POIs in the same location area are bound to the popular POIs.
  • the user Since the user is familiar with the popular POI and binds the unpopular POI to the popular POI, the user can identify the unpopular POI bound by the popular POI, thereby solving the problem that the unpopular POI is not easily recognized. For example, few people generally know the exact location of Village A, so Village A belongs to the unpopular POI, but Zone B near Village A belongs to the popular POI. Most people know the Park B, so they can bind Zone A to Park B. Through the B park, the purpose of user identification A village is achieved.
  • binding in this embodiment is not to make the geographical positions of two POIs coincide, but to establish a relationship between two POIs for simultaneously displaying popular POIs when searching for unpopular POIs.
  • the relationship between the two POIs is given in order to identify the unpopular POI through the popular POI. It is worth noting that when searching for popular POIs, the unpopular POI may not be displayed. That is to say, the direction of this binding is that the unpopular POI must bind the popular POI, but the popular POI may not bind the unpopular POI.
  • the POI service providing method provided by this embodiment is implemented based on the binding relationship between the above-mentioned unpopular POI and the popular POI, and the specific implementation process is as follows:
  • a POI service request is issued to the POI service providing device.
  • a user can issue a POI service request to a POI service providing device through its terminal.
  • the client of the corresponding service can be installed on the user's terminal, and the POI service request is sent through the client.
  • the address of the user each time in the taxi software Entering an address once in the box is equivalent to issuing a POI service request.
  • the POI service request points to the POI corresponding to the service, which is simply referred to as the target POI, that is, the user wants to obtain the service near the target POI.
  • the service requested by the POI service request may be a road condition information service, a taxi service, a catering service, a navigation service, a search service, a location service, a driver service, a housekeeping service, a travel recommendation service, and a health near the target POI.
  • a road condition information service e.g., a taxi service, a catering service, a navigation service, a search service, a location service, a driver service, a housekeeping service, a travel recommendation service, and a health near the target POI.
  • At least one of services, learning counseling services, and entertainment services may be a road condition information service, a taxi service, a catering service, a navigation service, a search service, a location service, a driver service, a housekeeping service, a travel recommendation service, and a health near the target POI.
  • the POI service providing device receives the POI service request of the user, determines the target POI according to the POI service request, and determines whether the target POI belongs to the unpopular POI or the popular POI. For example, according to the measure of public awareness of the POI, the target POI is determined to be an unpopular POI. Popular POI. For example, the number of users who know the target POI is less than the first threshold, or the number of times the target POI is requested is less than the first threshold, meaning that the target POI belongs to the unpopular POI. If the target POI belongs to the unpopular POI, the POI service providing device acquires the popular POI bound by the target POI, and then provides the corresponding service to the user according to the target POI and the popular POI bound by the target POI.
  • the destination is A village
  • the village A is the target POI in this embodiment
  • most taxi drivers have difficulty knowing the exact location of village A
  • village A belongs to the unpopular POI.
  • the B park near the village A is a popular POI.
  • Taxi drivers generally know the B park. Since the A village and the B park are bound in advance, the POI service provider can obtain the B park bound by the A village, and then A village and B park provide taxi services to users.
  • the POI service providing device can provide the A village and the B park to each taxi driver at the same time, so that the taxi driver can take the order and provide the taxi service to the user because he knows the B park.
  • the catering location is the F cell
  • the F cell is the target POI in this embodiment
  • each catering service provider generally does not pay much attention to the F cell
  • the F cell belongs to the unpopular POI, but is located at F.
  • the G university area on the edge of the community belongs to the popular POI, and the catering service providers generally know the G university. Therefore, the F cell is bound to the G university in advance, so that the POI service providing device can acquire the G university bound by the F cell, and then according to F Community and G University provide catering services to users.
  • the POI service providing device may search for the dining information located near the F-cell and/or the G University and provide it to the user.
  • the execution subject POI service providing apparatus of the embodiment can be implemented as a server in the taxi software.
  • the execution subject POI service providing apparatus of the present embodiment can be implemented as a search engine.
  • the POI service providing apparatus of this embodiment may be implemented as a server or a client that provides a corresponding service, depending on the form of the service requested by the POI service request.
  • the process of determining the target POI according to the POI service request includes: performing address segmentation on the address text of the target POI carried by the POI service request to determine the target POI.
  • the address participle can use the existing "two-way maximum matching" algorithm, the process of the algorithm is to take the entire address text from front to back, one word at a time, Use the dictionary to find words to break sentences; then take words from the back and forward, reduce one word at a time, use the dictionary to find words to break sentences; select the word segmentation results with large granularity words and few non-lexical words as the target POI.
  • the above word segmentation result can also be corrected.
  • a "fuzzy search" algorithm can be used, which uses a high-quality corpus to obtain the word frequency of each correct POI, and then calculates the edit distance of the correct POI and the POI to be corrected (ie, the result of the above-mentioned word segmentation). ), finally select the correct POI with the smallest word frequency/edit distance as the final target POI.
  • the process of the POI service providing device acquiring the popular POI bound to the target POI includes: acquiring a POI binding relationship formed by the unpopular POI and the popular POI in the location area where the target POI is located; binding the target POI to the POI The matching is performed in the relationship; if the unpopular POI in the POI binding relationship is matched, the popular POI bound by the matching unpopular POI is obtained.
  • a binding relationship between the unpopular POI and the hot POI in the same location area is formed, so that the cold POI and the hot POI are close to each other, which can improve the probability of successfully identifying the unpopular POI through the popular POI. .
  • the POI service providing apparatus may directly provide the corresponding service to the user according to the target POI.
  • the POI service providing device can directly provide the target POI to the taxi driver for the taxi driver to take the order.
  • the service is provided to the user according to the target POI and the hot POI bound to the user, which can reduce the inability of the unpopular POI to be recognized due to the inability to obtain the service.
  • the probability of improving the probability of successful access to services is provided to the user according to the target POI and the hot POI bound to the user, which can reduce the inability of the unpopular POI to be recognized due to the inability to obtain the service.
  • FIG. 2 is a schematic flowchart diagram of a POI data processing method according to an embodiment of the present application. As shown in Figure 2, the method includes:
  • the POI corresponds to a specific geographic location, which is a name for the geographic location.
  • users can get a variety of services, such as road information services related to POI, taxi services, catering services, navigation services, search services, location services, driver services, housekeeping services, travel At least one of a recommendation service, a health service, a study counseling service, and an entertainment service.
  • the POI that needs to perform binding processing is referred to as a POI to be processed, and the POI to be processed may be any POI.
  • the unpopular POI refers to the POI whose public awareness is less than the first threshold; the popular POI refers to the public awareness greater than or equal to the second threshold.
  • POI the public awareness of POI can be measured by different standards, and the first threshold and the second threshold will have different definitions.
  • the public awareness of the POI can be measured according to the number of users who know the POI. The more users who know the POI, the higher the public awareness of the POI; if the user who knows the POI exceeds a certain threshold (for example, the second threshold)
  • the POI is considered to be a popular POI; if the user who knows the POI is below a certain threshold (eg, the first threshold), the POI is considered to be an unpopular POI.
  • the first threshold and the second threshold refer to the threshold of the number of users, respectively.
  • a manner of obtaining public visibility of at least two POIs to be processed may be: for each of the at least two POIs to be processed, the number of users of the POI to be processed is statistically recognized, according to the statistical user.
  • the quantity determines the public visibility of the POI to be processed.
  • a simple way is to directly count the number of users counted as the public visibility of the POI to be processed.
  • the number of counted users may be numerically processed, such as weighting, and the result of the numerical processing is taken as the public visibility of the POI to be processed.
  • the public awareness of the POI may be measured according to the number of times the POI is requested.
  • the first threshold and the second threshold are thresholds for the number of requests, respectively.
  • the number of times the POI is requested may be represented by the number of POI service requests directed to the POI.
  • a manner of obtaining public visibility of at least two POIs to be processed may be: counting, for each POI to be processed of at least two POIs to be processed, the number of POI service requests directed to the POI to be processed, according to statistics
  • the number of POI service requests directed to the POI to be processed determines the public visibility of the POI to be processed.
  • a simple way is to directly use the counted number of POI service requests directed to the POI to be processed as the public visibility of the POI to be processed.
  • the counted number of POI service requests that are directed to the POI to be processed may be numerically processed, such as weighting processing, and the result of the numerical processing is taken as the public popularity of the POI to be processed.
  • determining, according to the public popularity of the at least two POIs to be processed, determining the unpopular POI and the hot POI in the at least two POIs to be processed is: acquiring, for each of the at least two POIs to be processed The number of POI service requests directed to the POI to be processed; if the number of POI service requests directed to the POI to be processed is greater than or equal to the second threshold, determining that the POI to be processed is a hot POI; if the POI service request is directed to the POI to be processed The number of the POI is less than the first threshold, and the POI to be processed is determined to be the unpopular POI.
  • the POI is considered to be a popular POI; if the amount of information at the POI is below a certain threshold (for example, the first threshold), then The POI is the unpopular POI.
  • the first threshold and the second threshold are thresholds for the amount of information, respectively.
  • the amount of information at the POI may be at least one of a traffic volume, a traffic volume, a number of mobile terminals, a number of popular merchants, and the like.
  • a manner of obtaining public popularity of at least two POIs to be processed may be: for each POI to be processed of at least two POIs to be processed, the amount of information at the POI to be processed is counted according to the statistics.
  • the amount of information at the POI to be processed determines the public visibility of the POI to be processed.
  • a simple way is to directly measure the amount of information at the POI to be processed as the public popularity of the POI to be processed.
  • the statistically calculated amount of information at the POI to be processed may be numerically processed, such as weighting processing, and the result of the numerical processing is taken as the public popularity of the POI to be processed.
  • determining, according to the public popularity of the at least two POIs to be processed, determining the unpopular POI and the hot POI in the at least two POIs to be processed is: acquiring, for each of the at least two POIs to be processed The amount of information at the POI to be processed; if the amount of information at the POI to be processed is greater than or equal to the second threshold, determining that the POI to be processed is a hot POI; if the amount of information at the POI to be processed is less than the first threshold, determining the The POI to be processed is an unpopular POI.
  • the values of the first threshold and the second threshold are not limited in this embodiment.
  • the first threshold and the second threshold will vary in value depending on the measure of public visibility.
  • the second threshold may be greater than the first threshold or may be equal to the first threshold.
  • the first threshold and the second threshold are allowed to be adjusted. For example, if the number of POI service requests corresponding to all the POIs in the at least two POIs to be processed is greater than or equal to the second threshold, the first threshold and the second threshold may be adjusted, for example, the first threshold and the second threshold are both increased. So that at least two of the POIs to be processed have both the unpopular POI and the hot POI.
  • the popular POI and the unpopular POI of at least two POIs to be processed may also be directly specified by the user.
  • the unpopular POI may be bound to the hot POI to form a POI binding relationship, so as to achieve the purpose of identifying the unpopular POI through the popular POI.
  • binding in this embodiment is not to make the geographical positions of two POIs coincide, but to establish a relationship between two POIs for simultaneously displaying popular POIs when searching for unpopular POIs.
  • the relationship between the two POIs is given in order to identify the unpopular POI through the popular POI. It is worth noting that when searching for popular POIs, the unpopular POI may not be displayed. That is to say, the direction of this binding is that the unpopular POI must bind the popular POI, but the popular POI may not bind the unpopular POI.
  • the binding of the unpopular POI to the popular POI may be, but is not limited to, the following:
  • the first way randomly bind the unpopular POI to the popular POI.
  • the POI data processing apparatus randomly selects the unpopular POI and the hot POI each time, and then binds the randomly selected unpopular POI to the hot POI.
  • This method is more flexible, and has fewer restrictions on the unpopular POI and the popular POI that form the binding relationship.
  • the second way is to bind the unpopular POI to the POI with the highest public awareness in the popular POI.
  • the POI data processing device selects the POI with the highest public popularity from the popular POIs. For example, the POI with the largest number of POI service requests directed to the POI can be selected from the popular POIs as the POI with the highest public awareness, and then all The unpopular POI is bound to the publicly-recognized POI.
  • the POI data processing device can sort the popular POIs in order of public popularity from the largest to the smallest, and select the popular POI ranked first as the POI with the highest public awareness. All of these unpopular POIs are tied to the publicly-recognized POI, which is beneficial to give full play to the advantages of the publicly-recognized POI and improve the recognition accuracy of the unpopular POI.
  • the third way according to the distance between the unpopular POI and the popular POI, the closest unpopular POI and the popular POI are bound.
  • the POI data processing apparatus determines the distance between the unpopular POI and the hot POI.
  • the distance between the unpopular POI and the hot POI may be calculated according to the latitude and longitude information corresponding to the popular POI, thereby selecting the nearest unpopular POI and the popular POI. Form a binding relationship.
  • the method provided in this embodiment can identify the unpopular POI and the popular POI in the POI to be processed and bind the unpopular POI and the popular POI to form a POI binding relationship. Since the user is familiar with the popular POI and binds the unpopular POI to the popular POI, the user can identify the unpopular POI bound by the popular POI, thereby solving the problem that the unpopular POI is not easily recognized. For example, few people generally know the exact location of Village A, so Village A belongs to the unpopular POI, but Zone B near Village A belongs to the popular POI. Most people know the Park B, so they can bind Zone A to Park B. Through the B park, the purpose of user identification A village is achieved.
  • the unpopular POI that forms the binding relationship has a certain relationship with the popular POI.
  • the unpopular POIs that are close to each other are bound to the popular POIs, for example, the unpopular POIs in the same location area are bound to the popular POIs.
  • the to-be-processed location area needs to be divided, and at least two POIs belonging to the same to-be-processed location area are acquired as at least two POIs to be processed.
  • the division of the location area to be processed needs to be determined according to the application scenario. For example, a geographical area of a country, a province, or a city may be used as an initial location area, and an initial location area may be divided to form at least one to-be-processed location area.
  • the POI in the to-be-processed location area is used as the POI to be processed, and the unpopular POI and the popular POI in the to-be-processed location area are identified, and the unpopular POI and the hot spot in the to-be-processed location area are established.
  • the binding relationship between POIs is established.
  • the location area corresponding to each geohash square can be used as a to-be-processed location area.
  • the geohash square can be a square of 500m*500m, or a square of 1000m*1000m, and so on.
  • the same ID may be configured for each POI in the to-be-processed location area to identify that the POIs belong to the same to-be-processed location area.
  • the POI may be represented by POI data, which generally includes information such as the name of the POI, the latitude and longitude coordinates of the POI, the ID of the location area to be processed, and public popularity data.
  • the public awareness data of the POI may be the number of POI service requests directed to the POI, or the amount of information at the POI, such as traffic, traffic, the number of mobile terminals, the number of popular merchants, and the like.
  • the POIs in the same pending location area may be sorted according to public popularity, for example, may be arranged in descending order of public popularity, or may be publicly known. Arranged from small to large. Among them, the latitude and longitude of the POI can be obtained through the POI database.
  • the POI database records the full amount of POI of the map service provider and its latitude and longitude.
  • the binding relationship between the unpopular POI and the popular POI in each to-be-processed location area and the administrative area to which each to-be-processed location area belongs A hierarchical relationship between the two, build a POI binding relationship tree.
  • the root node represents a POI binding relationship in the highest level of the hierarchy, such as a national-level POI binding relationship; the leaf node represents a POI binding relationship in the lowest level of the hierarchy, such as a certain city. POI binding relationship in the campus.
  • this embodiment can not only form the binding relationship between the unpopular POI and the popular POI, but also form a POI binding relationship tree in a certain administrative area to form a richer and more comprehensive POI binding relationship. .
  • the POI binding relationship reflect the latest and most comprehensive POI information, it can be periodic.
  • the flow of the POI data processing method provided by the foregoing embodiment is performed, which is equivalent to periodically updating the POI binding relationship.
  • the value of the period is not limited.
  • the POI binding relationship may be updated every day, every two days, or every week.
  • FIG. 3 is a schematic structural diagram of a POI service providing apparatus according to an embodiment of the present application. As shown in FIG. 3, the device includes: a receiving module 31, an obtaining module 32, and a providing module 33.
  • the receiving module 31 is configured to receive a POI service request of the user, where the POI service request is directed to the target POI.
  • the obtaining module 32 is configured to acquire a popular POI bound to the target POI when the target POI pointed to by the POI service request received by the receiving module 31 belongs to the unpopular POI, where the unpopular POI refers to a POI whose public visibility is less than the first threshold.
  • the popular POI refers to a POI whose public popularity is greater than or equal to a second threshold, and the second threshold is greater than or equal to the first threshold.
  • the providing module 33 is configured to provide a corresponding service to the user according to the target POI and the popular POI bound by the target POI acquired by the obtaining module 32.
  • the obtaining module 32 is specifically configured to:
  • the service requested by the foregoing POI service request may include, but is not limited to, at least one of the following:
  • Road information service taxi service, catering service, navigation service, search service, location service, driver service, housekeeping service, travel recommendation service, health service, study counseling service and entertainment service.
  • the POI service providing apparatus when the user requests the POI service, if the target POI belongs to the unpopular POI, obtains the popular POI bound to the POI, and provides the service to the user according to the target POI and the popular POI bound thereto. To a certain extent, the probability that the unpopular POI is not easily recognized and the service cannot be obtained can be reduced, which is beneficial to improve the probability of successful service acquisition.
  • FIG. 4 is a schematic structural diagram of a POI data processing apparatus according to an embodiment of the present application. As shown in FIG. 4, the device includes an acquisition module 41, a determination module 42, and a binding module 43.
  • the obtaining module 41 is configured to obtain public popularity of at least two POIs to be processed.
  • the determining module 42 is configured to determine, according to the public awareness of the at least two POIs to be processed acquired by the obtaining module 41, the unpopular POI and the hot POI in the at least two POIs to be processed, where the unpopular POI refers to the public visibility less than the first threshold.
  • POI the popular POI refers to a POI whose public visibility is greater than or equal to a second threshold, and the second threshold is greater than or equal to the first threshold.
  • the binding module 43 is configured to bind the unpopular POI determined by the determining module 42 to the hot POI.
  • the determining module 42 is specifically operable to:
  • the number of POI service requests directed to the POI to be processed is less than the first threshold, it is determined that the POI to be processed is an unpopular POI. ;or
  • the determining module 42 is specifically applicable to:
  • the POI to be processed is a cold-door POI.
  • the binding module 43 is specifically configured to:
  • the nearest unpopular POI and the popular POI are bound.
  • the obtaining module 41 is further configured to: before acquiring the public visibility of the at least two POIs to be processed, divide the to-be-processed location area; and obtain at least two POIs belonging to the same to-be-processed location area as at least two POI to be processed.
  • the acquiring module 41 is specifically configured to: use a location area corresponding to each geohash square as a to-be-processed location area.
  • the POI data processing apparatus further includes: a creating module, configured to: after the binding module 43 binds the unpopular POI in each to-be-processed location area to the hot POI, according to each to-be-processed location
  • the POI binding relationship tree is constructed by the binding relationship between the unpopular POI and the popular POI in the area and the hierarchical relationship between the administrative areas to which each to-be-processed location belongs.
  • the POI data processing apparatus can identify the unpopular POI and the popular POI in the POI to be processed and bind the unpopular POI and the popular POI to form a POI binding relationship. Since the user is familiar with the popular POI and binds the unpopular POI to the popular POI, the user can identify the unpopular POI bound by the popular POI, thereby solving the problem that the unpopular POI is not easily recognized.
  • the disclosed system, apparatus, and method may be implemented in other manners.
  • the device embodiments described above are merely illustrative.
  • the division of the unit is only a logical function division.
  • there may be another division manner for example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored or not executed.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be in an electrical, mechanical or other form.
  • the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
  • each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
  • the above integrated unit can be implemented in the form of hardware or in the form of hardware plus software functional units.
  • the above-described integrated unit implemented in the form of a software functional unit can be stored in a computer readable storage medium.
  • the software functional unit described above is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor to perform the methods described in various embodiments of the present application. Part of the steps.
  • the foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and the like, which can store program codes. .

Landscapes

  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Remote Sensing (AREA)
  • Navigation (AREA)

Abstract

一种POI服务提供方法、POI数据处理方法及装置，POI服务提供方法包括：接收用户的POI服务请求，POI服务请求指向目标POI（101）；若目标POI属于冷门POI，则获取目标POI绑定的热门POI（102），冷门POI是指公众知名度小于第一门限的POI，热门POI是指公众知名度大于或等于第二门限的POI，第二门限大于或等于第一门限；根据目标POI和目标POI绑定的热门POI，向用户提供相应的服务（103）。根据冷门POI和与其绑定的热门POI一起向用户提供服务，一定程度上可以降低因冷门POI不易被识别而导致无法获取服务的概率，有利于提高成功获取服务的概率。

Description

POI服务提供方法、POI数据处理方法及装置
本申请要求2015年07月13日递交的申请号为201510409113.1、发明名称为“POI服务提供方法、POI数据处理方法及装置”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及互联网技术领域，尤其涉及一种POI服务提供方法、POI数据处理方法及装置。
背景技术
在地理服务中，经常出现非大众化的兴趣点(Point Of Interest，POI)，这些非大众化的POI一般不易被识别。当用户的POI服务请求涉及非大众化的POI时，在地址识别上会给各种服务带来较大的困难，因此很难获得相应的POI服务。例如，有用户请求出租车服务，其目的地是“xx村”，绝大多数出租车司机不知道“xx村”的确切所在，因此该用户很难获得到该“xx村”的出租车服务。
发明内容
本申请的多个方面提供一种POI服务提供方法、POI数据处理方法及装置，用以提高成功获取POI服务的概率。
本申请的一方面，提供一种POI服务提供方法，包括：
接收用户的POI服务请求，所述POI服务请求指向目标POI；
若所述目标POI属于冷门POI，则获取所述目标POI绑定的热门POI，所述冷门POI是指公众知名度小于第一门限的POI，所述热门POI是指公众知名度大于或等于第二门限的POI，所述第二门限大于或等于所述第一门限；
根据所述目标POI和所述目标POI绑定的热门POI，向所述用户提供相应的服务。
本申请的另一方面，提供一种POI数据处理方法，包括：
获取至少两个待处理POI的公众知名度；
根据所述至少两个待处理POI的公众知名度，确定所述至少两个待处理POI中的冷门POI和热门POI，所述冷门POI是指公众知名度小于第一门限的POI，所述热门POI是指公众知名度大于或等于第二门限的POI，所述第二门限大于或等于所述第一门限；
将所述冷门POI与所述热门POI进行绑定。
本申请的又一方面，提供一种POI服务提供装置，包括：
接收模块，用于接收用户的POI服务请求，所述POI服务请求指向目标POI；
获取模块，用于在所述目标POI属于冷门POI时，获取所述目标POI绑定的热门POI，所述冷门POI是指公众知名度小于第一门限的POI，所述热门POI是指公众知名度大于或等于第二门限的POI，所述第二门限大于或等于所述第一门限；
提供模块，用于根据所述目标POI和所述目标POI绑定的热门POI，向所述用户提供相应的服务。
本申请的又一方面，提供一种POI数据处理装置，包括：
获取模块，用于获取至少两个待处理POI的公众知名度；
确定模块，用于根据所述至少两个待处理POI的公众知名度，确定所述至少两个待处理POI中的冷门POI和热门POI，所述冷门POI是指公众知名度小于第一门限的POI，所述热门POI是指公众知名度大于或等于第二门限的POI，所述第二门限大于或等于所述第一门限；
绑定模块，用于将所述冷门POI与所述热门POI进行绑定。
在本申请中，通过将公众知名度小于第一门限的冷门POI与公众知名度大于或等于第二门限的热门POI进行绑定，在用户请求POI服务时，若目标POI属于冷门POI，则获取与其绑定的热门POI，根据目标POI和与其绑定的热门POI一起向用户提供服务，一定程度上可以降低因冷门POI不易被识别而导致无法获取服务的概率，有利于提高成功获取服务的概率。
附图说明
为了更清楚地说明本申请实施例中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作一简单地介绍，显而易见地，下面描述中的附图是本申请的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动性的前提下，还可以根据这些附图获得其他的附图。
图1为本申请一实施例提供的POI服务提供方法的流程示意图；
图2为本申请一实施例提供的POI数据处理方法的流程示意图；
图3为本申请一实施例提供的POI服务提供装置的结构示意图；
图4为本申请一实施例提供的POI数据处理装置的结构示意图。
具体实施方式
为使本申请实施例的目的、技术方案和优点更加清楚，下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都属于本申请保护的范围。
图1为本申请一实施例提供的POI服务提供方法的流程示意图。如图1所示，该方法包括：
101、接收用户的POI服务请求，该POI服务请求指向目标POI。
102、若目标POI属于冷门POI，则获取该目标POI绑定的热门POI。
103、根据目标POI和该目标POI绑定的热门POI，向用户提供相应的服务。
在本实施例中，POI对应一个具体的地理位置，是人们对该地理位置的称呼。围绕着POI，用户可以获得各种各样的服务，这些服务可以是与POI有关的路况信息服务、出租车服务、餐饮服务、导航服务、搜索服务、定位服务、代驾服务、家政服务、旅游推荐服务、健康服务、学习辅导服务和娱乐服务等中的至少一种。冷门POI是指公众知名度小于第一门限的POI；热门POI是指公众知名度大于或等于第二门限的POI。其中，POI的公众知名度可以采用不同的标准来衡量，则第一门限和第二门限也会有不同的定义。
例如，可以根据认识POI的用户的数量来衡量该POI的公众知名度，认识该POI的用户越多，该POI的公众知名度就越高；若认识该POI的用户超过某个门限(例如第二门限)，则认为该POI是热门POI；若认识该POI的用户低于某个门限(例如第一门限)，则认为该POI是冷门POI。在该举例中，第一门限和第二门限分别是指用户数量的门限。
又例如，可以根据POI被请求的次数来衡量该POI的公众知名度，该POI被请求的次数越多，该POI的公众知名度就越高；若该POI被请求的次数超过某个门限(例如第二门限)，则认为该POI是热门POI；若该POI被请求的次数低于某个门限(例如第一门限)，则认为该POI是冷门POI。在该举例中，第一门限和第二门限分别是请求次数的门限。其中，POI被请求的次数可以通过指向该POI的POI服务请求的数量来体现。
又例如，以根据POI处的信息量来衡量该POI的公众知名度，该POI处的信息量越多，该POI的公众知名度就越高；若该POI处的信息量超过某个门限(例如第二门限)， 则认为该POI是热门POI；若该POI处的信息量低于某个门限(例如第一门限)，则认为该POI是冷门POI。在该举例中，第一门限和第二门限分别是信息量的门限。其中，POI处的信息量可以是人流量、车流量、移动终端数量、热门商户的数量等中的至少一种。
值得说明的是，本实施例对第一门限和第二门限的取值不做限定。根据公众知名度的衡量标准的不同，第一门限和第二门限在取值上也会有所不同。其中，第二门限可以大于第一门限，也可以等于第一门限。另外，为了便于从至少两个待处理POI中区分出冷门POI和热门POI，允许对第一门限和第二门限进行调整。例如，若至少两个待处理POI中所有POI对应的POI服务请求的数量均大于或等于第二门限，则可以调整第一门限和第二门限，例如将第一门限和第二门限均增大，使得至少两个待处理POI中同时存在冷门POI与热门POI。
除上述方式之外，也可以由用户直接指定至少两个待处理POI中的热门POI和冷门POI。
在本实施例中，预先将冷门POI与热门POI进行绑定。其中，冷门POI是与热门POI有一定关系的POI，一般来说是将位置相近的冷门POI与热门POI进行绑定，例如将同一位置区域内的冷门POI与热门POI进行绑定。由于用户都熟知热门POI，将冷门POI与热门POI进行绑定后，用户可以通过热门POI识别出所绑定的冷门POI，从而解决了冷门POI不易被识别的问题。例如，一般很少有人知道A村的确切所在，所以A村属于冷门POI，但是A村附近的B园区属于热门POI，大部分人都认识B园区，因此可以将A村与B园区进行绑定，通过B园区达到用户识别A村的目的。
值得说明的是，本实施例中的“绑定”的意思并不是使两个POI的地理位置重合，而是建立两个POI之间的联系，用以在搜索冷门POI时同时展现热门POI，并给出两个POI在位置上的关系，以便于通过热门POI对冷门POI进行识别。值得说明的是，在搜索热门POI时可以不展现冷门POI，也就是说，这种绑定的方向是冷门POI一定绑定热门POI，但热门POI可以不反向绑定冷门POI。
本实施例提供的POI服务提供方法基于上述冷门POI与热门POI之间的绑定关系实施，具体实施过程如下所述：
当用户请求POI服务时，向POI服务提供装置发出POI服务请求。例如，用户可以通过其终端向POI服务提供装置发出POI服务请求。具体的，在用户的终端上可以安装相应服务的客户端，通过该客户端发出POI服务请求。例如，用户每在打车软件的地址 框中输入一次地址都相当于发出了一次POI服务请求。其中，该POI服务请求指向服务对应的POI，简称为目标POI，即表示用户希望获取该目标POI附近的服务。举例说明，该POI服务请求所请求的服务可以是该目标POI附近的路况信息服务、出租车服务、餐饮服务、导航服务、搜索服务、定位服务、代驾服务、家政服务、旅游推荐服务、健康服务、学习辅导服务和娱乐服务等中的至少一种。
POI服务提供装置接收用户的POI服务请求，根据该POI服务请求确定目标POI，判断目标POI是属于冷门POI还是热门POI，例如可以按照POI的公众知名度的衡量标准，来判断目标POI属于冷门POI还是热门POI。例如认识该目标POI的用户数量小于第一门限，或者该目标POI被请求的次数小于第一门限，意味着目标POI属于冷门POI。若目标POI属于冷门POI，POI服务提供装置获取该目标POI绑定的热门POI，之后根据目标POI和目标POI绑定的热门POI一起向用户提供相应的服务。
例如，假设用户请求出租车服务，其目的地是A村，A村即为本实施例中的目标POI，但是绝大多数出租车司机很难知道A村的确切所在，A村属于冷门POI，但是A村附近的B园区属于热门POI，出租车司机一般都认识B园区，由于预先将A村与B园区进行了绑定，所以POI服务提供装置可以获取A村绑定的B园区，然后根据A村和B园区向用户提供出租车服务。具体的，POI服务提供装置可以将A村与B园区同时提供给各出租车司机，这样出租车司机由于认识B园区所以可以接单，向用户提供出租车服务。
又例如，假设用户请求餐饮服务，餐饮位置是F小区，F小区即为本实施例中的目标POI，但是各餐饮服务提供商一般不太关注该F小区，F小区属于冷门POI，但是位于F小区边上的G大学区属于热门POI，餐饮服务提供商一般都认识G大学，因此预先将F小区与G大学进行绑定，这样POI服务提供装置可以获取F小区绑定的G大学，然后根据F小区和G大学向用户提供餐饮服务。具体的，POI服务提供装置可以搜索位于F小区和/或G大学附近的餐饮信息并提供给用户。
值得说明的是，在上述出租车服务的举例中，本实施例的执行主体POI服务提供装置可以作为打车软件中的服务端来实现。在上述餐饮服务的举例中，本实施例的执行主体POI服务提供装置可以作为搜索引擎来实现。根据POI服务请求所请求的服务形式的不同，本实施例的POI服务提供装置可以作为提供相应服务的服务端或客户端来实现。
可选的，上述根据POI服务请求确定目标POI的过程包括：对POI服务请求携带的指向目标POI的地址文本进行地址分词，以确定目标POI。地址分词可以利用现有“双向最大匹配”算法，该算法的过程是将整个地址文本先从前向后取词，每次减少一字， 利用字典寻找词语进行断句；然后再从后向前取词，每次减少一字，利用字典寻找词语进行断句；从中选择大粒度词多且非字典词少的分词结果作为目标POI。
进一步可选的，还可以对上述分词结果进行纠正。例如，可以使用“模糊搜索”算法，该算法的过程是利用高质量的语料得到每个正确POI的词频，然后计算正确POI与所需要纠正的POI(即上述分词结果)的编辑距离(edit distance)，最后选择“词频/编辑距离”最小的正确POI作为最终目标POI。
可选的，POI服务提供装置获取与目标POI绑定的热门POI的过程包括：获取由目标POI所在位置区域内的冷门POI和热门POI构成的POI绑定关系；将目标POI在该POI绑定关系中进行匹配；若匹配中该POI绑定关系中的冷门POI，则获取所匹配中的冷门POI所绑定的热门POI。在该可选实施方式中，同一位置区域内的冷门POI与热门POI之间形成绑定关系，这样可以冷门POI与热门POI之间相距较近，能够提高成功通过热门POI识别出冷门POI的概率。
可选的，若目标POI本身属于热门POI，则POI服务提供装置可以直接根据该目标POI向用户提供相应的服务。例如，在用户请求打车服务时，POI服务提供装置可以直接将目标POI提供给出租车司机，以供出租车司机接单。
由上述可见，本实施例在用户请求的目标POI属于冷门POI时，根据目标POI和与其绑定的热门POI一起向用户提供服务，一定程度上可以降低因冷门POI不易被识别而导致无法获取服务的概率，有利于提高成功获取服务的概率。
图2为本申请一实施例提供的POI数据处理方法的流程示意图。如图2所示，该方法包括：
201、获取至少两个待处理POI的公众知名度。
202、根据至少两个待处理POI的公众知名度，确定至少两个待处理POI中的冷门POI和热门POI。
203、将冷门POI与热门POI进行绑定。
在本实施例中，POI对应一个具体的地理位置，是人们对该地理位置的称呼。围绕着POI，用户可以获得各种各样的服务，这些服务可以是与POI有关的路况信息服务、出租车服务、餐饮服务、导航服务、搜索服务、定位服务、代驾服务、家政服务、旅游推荐服务、健康服务、学习辅导服务和娱乐服务等中的至少一种。为便于描述，本实施例将需要进行绑定处理的POI称为待处理POI，待处理POI可是任意的POI。冷门POI是指公众知名度小于第一门限的POI；热门POI是指公众知名度大于或等于第二门限的 POI。其中，POI的公众知名度可以采用不同的标准来衡量，则第一门限和第二门限也会有不同的定义。
例如，可以根据认识POI的用户的数量来衡量该POI的公众知名度，认识该POI的用户越多，该POI的公众知名度就越高；若认识该POI的用户超过某个门限(例如第二门限)，则认为该POI是热门POI；若认识该POI的用户低于某个门限(例如第一门限)，则认为该POI是冷门POI。在该举例中，第一门限和第二门限分别是指用户数量的门限。
基于上述，一种获取至少两个待处理POI的公众知名度的方式可以是：对于至少两个待处理POI中的每个待处理POI，统计认识该待处理POI的用户数量，根据统计出的用户数量确定该待处理POI的公众知名度。一种简单的方式为：直接将统计出的用户数量作为待处理POI的公众知名度。或者，也可以对统计出的用户数量进行数值处理，例如加权处理，将数值处理的结果作为待处理POI的公众知名度。
又例如，可以根据POI被请求的次数来衡量该POI的公众知名度，该POI被请求的次数越多，该POI的公众知名度就越高；若该POI被请求的次数超过某个门限(例如第二门限)，则认为该POI是热门POI；若该POI被请求的次数低于某个门限(例如第一门限)，则认为该POI是冷门POI。在该举例中，第一门限和第二门限分别是请求次数的门限。其中，POI被请求的次数可以通过指向该POI的POI服务请求的数量来体现。
基于上述，一种获取至少两个待处理POI的公众知名度的方式可以是：对于至少两个待处理POI中的每个待处理POI，统计指向该待处理POI的POI服务请求的数量，根据统计出的指向待处理POI的POI服务请求的数量确定该待处理POI的公众知名度。一种简单的方式为：直接将统计出的指向待处理POI的POI服务请求的数量作为待处理POI的公众知名度。或者，也可以对统计出的指向待处理POI的POI服务请求的数量进行数值处理，例如加权处理，将数值处理的结果作为待处理POI的公众知名度。
相应的，一种根据至少两个待处理POI的公众知名度，确定至少两个待处理POI中的冷门POI和热门POI的方式为：对于至少两个待处理POI中的每个待处理POI，获取指向该待处理POI的POI服务请求的数量；若指向该待处理POI的POI服务请求的数量大于或等于第二门限，确定该待处理POI为热门POI；若指向该待处理POI的POI服务请求的数量小于第一门限，确定该待处理POI为冷门POI。
又例如，以根据POI处的信息量来衡量该POI的公众知名度，该POI处的信息量越多，该POI的公众知名度就越高；若该POI处的信息量超过某个门限(例如第二门限)，则认为该POI是热门POI；若该POI处的信息量低于某个门限(例如第一门限)，则认 为该POI是冷门POI。在该举例中，第一门限和第二门限分别是信息量的门限。其中，POI处的信息量可以是人流量、车流量、移动终端数量、热门商户的数量等中的至少一种。
基于上述，一种获取至少两个待处理POI的公众知名度的方式可以是：对于至少两个待处理POI中的每个待处理POI，统计该待处理POI处的信息量，根据统计出的该待处理POI处的信息量确定该待处理POI的公众知名度。一种简单的方式为：直接将统计出的该待处理POI处的信息量作为待处理POI的公众知名度。或者，也可以对统计出的该待处理POI处的信息量进行数值处理，例如加权处理，将数值处理的结果作为待处理POI的公众知名度。
相应的，一种根据至少两个待处理POI的公众知名度，确定至少两个待处理POI中的冷门POI和热门POI的方式为：对于至少两个待处理POI中的每个待处理POI，获取该待处理POI处的信息量；若该待处理POI处的信息量大于或等于第二门限，确定该待处理POI为热门POI；若该待处理POI处的信息量小于第一门限，确定该待处理POI为冷门POI。
值得说明的是，本实施例对第一门限和第二门限的取值不做限定。根据公众知名度的衡量标准的不同，第一门限和第二门限在取值上也会有所不同。其中，第二门限可以大于第一门限，也可以等于第一门限。另外，为了便于从至少两个待处理POI中区分出冷门POI和热门POI，允许对第一门限和第二门限进行调整。例如，若至少两个待处理POI中所有POI对应的POI服务请求的数量均大于或等于第二门限，则可以调整第一门限和第二门限，例如将第一门限和第二门限均增大，使得至少两个待处理POI中同时存在冷门POI与热门POI。
除上述方式之外，也可以由用户直接指定至少两个待处理POI中的热门POI和冷门POI。
在确定至少两个待处理POI中的冷门POI和热门POI之后，可以将冷门POI与热门POI进行绑定，形成POI绑定关系，以便于达到通过热门POI识别冷门POI的目的。
值得说明的是，本实施例中的“绑定”的意思并不是使两个POI的地理位置重合，而是建立两个POI之间的联系，用以在搜索冷门POI时同时展现热门POI，并给出两个POI在位置上的关系，以便于通过热门POI对冷门POI进行识别。值得说明的是，在搜索热门POI时可以不展现冷门POI，也就是说，这种绑定的方向是冷门POI一定绑定热门POI，但热门POI可以不反向绑定冷门POI。
其中，将冷门POI与热门POI进行绑定，可以采用但不限于以下几种方式：
第一种方式：随机将冷门POI与热门POI进行绑定。在该方式中，POI数据处理装置每次随机选择冷门POI与热门POI，然后将随机选择的冷门POI与热门POI进行绑定。这种方式实现更为灵活，对形成绑定关系的冷门POI和热门POI的限制较小。
第二种方式：将冷门POI分别与热门POI中公众知名度最高的POI进行绑定。在该方式中，POI数据处理装置从热门POI中选出公众知名度最高的POI，例如可以从热门POI中选择指向POI的POI服务请求的数量最多的热门POI作为公众知名度最高的POI，然后将所有冷门POI分别与该公众知名度最高的POI进行绑定。其中，POI数据处理装置可以按照公众知名度由大到小的顺序对热门POI进行排序，选择排在第一位的热门POI作为公众知名度最高的POI。这种所有冷门POI均与公众知名度最高的POI进行绑定，有利于充分发挥公众知名度最高的POI的优势，提高对冷门POI的识别准确度。
第三种方式：根据冷门POI与热门POI之间的距离，将相距最近的冷门POI和热门POI进行绑定。在该方式中，POI数据处理装置确定冷门POI与热门POI之间的距离，例如可以根据冷门POI与热门POI对应的经纬度信息计算两者之间的距离，进而选择相距最近的冷门POI和热门POI形成绑定关系。
采用本实施例提供的方法可以识别出待处理POI中的冷门POI和热门POI并将冷门POI和热门POI进行绑定，形成POI绑定关系。由于用户都熟知热门POI，将冷门POI与热门POI进行绑定后，用户可以通过热门POI识别出所绑定的冷门POI，从而解决了冷门POI不易被识别的问题。例如，一般很少有人知道A村的确切所在，所以A村属于冷门POI，但是A村附近的B园区属于热门POI，大部分人都认识B园区，因此可以将A村与B园区进行绑定，通过B园区达到用户识别A村的目的。
值得说明的是，形成绑定关系的冷门POI与热门POI有一定关系。一般来说是将一定相距较近内的冷门POI与热门POI进行绑定，例如将同一位置区域内的冷门POI与热门POI进行绑定。基于此，在获取至少两个待处理POI之前，需要划分待处理位置区域，获取属于同一待处理位置区域的至少两个POI作为至少两个待处理POI。
其中，待处理位置区域的划分需要根据应用场景而定。例如，可以将一个国家、一个省或一个城市的地理区域作为初始位置区域，对初始位置区域进行划分，形成至少一个待处理位置区域。对于每个待处理位置区域，将该待处理位置区域内的POI作为待处理POI，识别出该待处理位置区域内的冷门POI与热门POI，再建立该待处理位置区域内的冷门POI与热门POI之间的绑定关系。
可选的，可以将每个geohash方格对应的位置区域，作为一个待处理位置区域。其中，geohash方格可以是500m*500m的方格，也可以是1000m*1000m的方格，等等。
进一步，可以为每个待处理位置区域内的POI配置相同的ID，以标识这些POI属于同一待处理位置区域。其中，POI可以通过POI数据来表示，该POI数据一般包括POI的名称、POI的经纬度坐标、所在待处理位置区域的ID以及公众知名度数据等信息。所述POI的公众知名度数据可以是指向该POI的POI服务请求的数量，或者该POI处的信息量，例如人流量、车流量、移动终端的数量、热门商户的数量等。可选的，为便于后续识别冷门POI和热门POI，可以按照公众知名度对同一待处理位置区域内的POI进行排序，例如可以是按照公众知名度由大到小的顺序排列，也可以是按照公众知名度由小到大的顺序排列。其中，POI的经纬度可以通过POI数据库来获取。POI数据库记录了地图服务提供商的全量POI及其经纬度。
进一步，在将每个待处理位置区域内的冷门POI与热门POI进行绑定之后，根据每个待处理位置区域内的冷门POI与热门POI的绑定关系以及每个待处理位置区域所属行政区域之间的层级关系，构建POI绑定关系树。在该POI绑定关系树上，根节点表示层级最高区域内的POI绑定关系，例如全国级的POI绑定关系；叶子节点表示层级最低区域内的POI绑定关系，例如某个城市某个园区内的POI绑定关系。
由上述可见，本实施例不仅可以形成冷门POI与热门POI之间的绑定关系，进一步还可以形成一定行政区域内的POI绑定关系树，以形成更为丰富更为全面的POI绑定关系。
值得说明的是，随着时间的推移，会有新的POI出现，且已有POI的公众知名度也可能会发生变化，为了使得POI绑定关系能够反映最新最全面的POI信息，可以周期性的执行上述实施例提供的POI数据处理方法的流程，这相当于周期性的更新POI绑定关系。本实施例对所述周期的取值不做限定，例如可以是每天，每两天或每周等更新一次POI绑定关系。
需要说明的是，对于前述的各方法实施例，为了简单描述，故将其都表述为一系列的动作组合，但是本领域技术人员应该知悉，本申请并不受所描述的动作顺序的限制，因为依据本申请，某些步骤可以采用其他顺序或者同时进行。其次，本领域技术人员也应该知悉，说明书中所描述的实施例均属于优选实施例，所涉及的动作和模块并不一定是本申请所必须的。
在上述实施例中，对各个实施例的描述都各有侧重，某个实施例中没有详述的部分， 可以参见其他实施例的相关描述。
图3为本申请一实施例提供的POI服务提供装置的结构示意图。如图3所示，该装置包括：接收模块31、获取模块32和提供模块33。
接收模块31，用于接收用户的POI服务请求，所述POI服务请求指向目标POI。
获取模块32，用于在接收模块31接收的POI服务请求所指向的目标POI属于冷门POI时，获取与目标POI绑定的热门POI，所述冷门POI是指公众知名度小于第一门限的POI，所述热门POI是指公众知名度大于或等于第二门限的POI，所述第二门限大于或等于所述第一门限。
提供模块33，用于根据目标POI和获取模块32获取的目标POI绑定的热门POI，向所述用户提供相应的服务。
在一可选实施方式中，获取模块32具体用于：
获取由目标POI所在位置区域内的冷门POI和热门POI构成的POI绑定关系；
将目标POI在上述POI绑定关系中进行匹配；
若目标POI与POI绑定关系中的冷门POI匹配成功，则获取所述匹配中的冷门POI所绑定的热门POI。
可选的，上述POI服务请求所请求的服务可以包括但不限于以下至少一种：
路况信息服务、出租车服务、餐饮服务、导航服务、搜索服务、定位服务、代驾服务、家政服务、旅游推荐服务、健康服务、学习辅导服务和娱乐服务。
本实施例提供的POI服务提供装置，在用户请求POI服务时，若目标POI属于冷门POI，则获取与其绑定的热门POI，根据目标POI和与其绑定的热门POI一起向用户提供服务，一定程度上可以降低因冷门POI不易被识别而导致无法获取服务的概率，有利于提高成功获取服务的概率。
图4为本申请一实施例提供的POI数据处理装置的结构示意图。如图4所示，该装置包括：获取模块41、确定模块42和绑定模块43。
获取模块41，用于获取至少两个待处理POI的公众知名度。
确定模块42，用于根据获取模块41获取的至少两个待处理POI的公众知名度，确定至少两个待处理POI中的冷门POI和热门POI，所述冷门POI是指公众知名度小于第一门限的POI，所述热门POI是指公众知名度大于或等于第二门限的POI，所述第二门限大于或等于所述第一门限。
绑定模块43，用于将确定模块42确定的冷门POI与热门POI进行绑定。
在一可选实施方式中，确定模块42具体可用于：
对于至少两个待处理POI中的每个待处理POI，获取指向该待处理POI的POI服务请求的数量；
若指向该待处理POI的POI服务请求的数量大于或等于所述第二门限，确定该待处理POI为热门POI；
若指向该待处理POI的POI服务请求的数量小于所述第一门限，确定该待处理POI为冷门POI。；或者
确定模块42具体可用于：
对于至少两个待处理POI中的每个待处理POI，获取该待处理POI处的信息量；
若该待处理POI处的信息量大于或等于所述第二门限，确定该待处理POI为热门POI；
若该待处理POI处的信息量小于第一门限，确定该待处理POI为冷门POI。
在一可选实施方式中，绑定模块43具体可用于：
随机将冷门POI与热门POI进行绑定；或者
将冷门POI分别与热门POI中公众知名度最高的POI进行绑定；或者
根据冷门POI与热门POI之间的距离，将相距最近的冷门POI和热门POI进行绑定。
在一可选实施方式中，获取模块41还用于：在获取至少两个待处理POI的公众知名度之前，划分待处理位置区域；获取属于同一待处理位置区域的至少两个POI作为至少两个待处理POI。
进一步，获取模块41在划分待处理位置区域时，具体用于：将每个geohash方格对应的位置区域，作为一个待处理位置区域。
在一可选实施方式中，POI数据处理装置还包括：创建模块，用于在绑定模块43将每个待处理位置区域内的冷门POI与热门POI进行绑定之后，根据每个待处理位置区域内的冷门POI与热门POI的绑定关系以及每个待处理位置区域所属行政区域之间的层级关系，构建POI绑定关系树。
本实施例提供的POI数据处理装置，可以识别出待处理POI中的冷门POI和热门POI并将冷门POI和热门POI进行绑定，形成POI绑定关系。由于用户都熟知热门POI，将冷门POI与热门POI进行绑定后，用户可以通过热门POI识别出所绑定的冷门POI，从而解决了冷门POI不易被识别的问题。
所属领域的技术人员可以清楚地了解到，为描述的方便和简洁，上述描述的系统， 装置和单元的具体工作过程，可以参考前述方法实施例中的对应过程，在此不再赘述。
在本申请所提供的几个实施例中，应该理解到，所揭露的系统，装置和方法，可以通过其它的方式实现。例如，以上所描述的装置实施例仅仅是示意性的，例如，所述单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，装置或单元的间接耦合或通信连接，可以是电性，机械或其它的形式。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外，在本申请各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现，也可以采用硬件加软件功能单元的形式实现。
上述以软件功能单元的形式实现的集成的单元，可以存储在一个计算机可读取存储介质中。上述软件功能单元存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)或处理器(processor)执行本申请各个实施例所述方法的部分步骤。而前述的存储介质包括：U盘、移动硬盘、只读存储器(Read-Only Memory，ROM)、随机存取存储器(Random Access Memory，RAM)、磁碟或者光盘等各种可以存储程序代码的介质。
最后应说明的是：以上实施例仅用以说明本申请的技术方案，而非对其限制；尽管参照前述实施例对本申请进行了详细的说明，本领域的普通技术人员应当理解：其依然可以对前述各实施例所记载的技术方案进行修改，或者对其中部分技术特征进行等同替换；而这些修改或者替换，并不使相应技术方案的本质脱离本申请各实施例技术方案的精神和范围。

Claims (15)

  1. 一种POI服务提供方法，其特征在于，包括：
    接收用户的POI服务请求，所述POI服务请求指向目标POI；
    若所述目标POI属于冷门POI，则获取所述目标POI绑定的热门POI，所述冷门POI是指公众知名度小于第一门限的POI，所述热门POI是指公众知名度大于或等于第二门限的POI，所述第二门限大于或等于所述第一门限；
    根据所述目标POI和所述目标POI绑定的热门POI，向所述用户提供相应的服务。
  2. 根据权利要求1所述的方法，其特征在于，所述获取所述目标POI绑定的热门POI，包括：
    获取由所述目标POI所在位置区域内的冷门POI和热门POI构成的POI绑定关系；
    将所述目标POI在所述POI绑定关系中进行匹配；
    若所述目标POI与所述POI绑定关系中的冷门POI匹配成功，则获取所述冷门POI所绑定的热门POI。
  3. 根据权利要求1或2所述的方法，其特征在于，所述POI服务请求所请求的服务包括以下至少一种：
    路况信息服务、出租车服务、餐饮服务、导航服务、搜索服务、定位服务、代驾服务、家政服务、旅游推荐服务、健康服务、学习辅导服务和娱乐服务。
  4. 一种POI数据处理方法，其特征在于，包括：
    获取至少两个待处理POI的公众知名度；
    根据所述至少两个待处理POI的公众知名度，确定所述至少两个待处理POI中的冷门POI和热门POI，所述冷门POI是指公众知名度小于第一门限的POI，所述热门POI是指公众知名度大于或等于第二门限的POI，所述第二门限大于或等于所述第一门限；
    将所述冷门POI与所述热门POI进行绑定。
  5. 根据权利要求4所述的方法，其特征在于，所述根据所述至少两个待处理POI的公众知名度，确定所述至少两个待处理POI中的冷门POI和热门POI，包括：
    对于所述至少两个待处理POI中的每个待处理POI，获取指向所述待处理POI的POI服务请求的数量；
    若指向所述待处理POI的POI服务请求的数量大于或等于所述第二门限，确定所述待处理POI为热门POI；
    若指向所述待处理POI的POI服务请求的数量小于所述第一门限，确定所述待处理 POI为冷门POI；或者
    对于所述至少两个待处理POI中的每个待处理POI，获取所述待处理POI处的信息量；
    若所述待处理POI处的信息量大于或等于所述第二门限，确定所述待处理POI为热门POI；
    若所述待处理POI处的信息量小于所述第一门限，确定所述待处理POI为冷门POI。
  6. 根据权利要求4所述的方法，其特征在于，所述将所述冷门POI与所述热门POI进行绑定，包括：
    随机将所述冷门POI与所述热门POI进行绑定；或者
    将所述冷门POI分别与所述热门POI中公众知名度最高的POI进行绑定；或者
    根据所述冷门POI与所述热门POI之间的距离，将相距最近的冷门POI和热门POI进行绑定。
  7. 根据权利要求4-6任一项所述的方法，其特征在于，所述获取至少两个待处理POI的公众知名度之前，包括：
    划分待处理位置区域；
    获取属于同一待处理位置区域的至少两个POI作为所述至少两个待处理POI。
  8. 根据权利要求7所述的方法，其特征在于，还包括：
    在将每个待处理位置区域内的冷门POI与热门POI进行绑定之后，根据每个待处理位置区域内的冷门POI与热门POI的绑定关系以及每个待处理位置区域所属行政区域之间的层级关系，构建POI绑定关系树。
  9. 一种POI服务提供装置，其特征在于，包括：
    接收模块，用于接收用户的POI服务请求，所述POI服务请求指向目标POI；
    获取模块，用于在所述目标POI属于冷门POI时，获取所述目标POI绑定的热门POI，所述冷门POI是指公众知名度小于第一门限的POI，所述热门POI是指公众知名度大于或等于第二门限的POI，所述第二门限大于或等于所述第一门限；
    提供模块，用于根据所述目标POI和所述目标POI绑定的热门POI，向所述用户提供相应的服务。
  10. 根据权利要求9所述的装置，其特征在于，所述获取模块具体用于：
    获取由所述目标POI所在位置区域内的冷门POI和热门POI构成的POI绑定关系；
    将所述目标POI在所述POI绑定关系中进行匹配；
    若所述目标POI与所述POI绑定关系中的冷门POI匹配成功，则获取所述冷门POI所绑定的热门POI。
  11. 一种POI数据处理装置，其特征在于，包括：
    获取模块，用于获取至少两个待处理POI的公众知名度；
    确定模块，用于根据所述至少两个待处理POI的公众知名度，确定所述至少两个待处理POI中的冷门POI和热门POI，所述冷门POI是指公众知名度小于第一门限的POI，所述热门POI是指公众知名度大于或等于第二门限的POI，所述第二门限大于或等于所述第一门限；
    绑定模块，用于将所述冷门POI与所述热门POI进行绑定。
  12. 根据权利要求11所述的装置，其特征在于，所述确定模块具体用于：
    对于所述至少两个待处理POI中的每个待处理POI，获取指向所述待处理POI的POI服务请求的数量；
    若指向所述待处理POI的POI服务请求的数量大于或等于所述第二门限，确定所述待处理POI为热门POI；
    若指向所述待处理POI的POI服务请求的数量小于所述第一门限，确定所述待处理POI为冷门POI；或者
    对于所述至少两个待处理POI中的每个待处理POI，获取所述待处理POI处的信息量；
    若所述待处理POI处的信息量大于或等于所述第二门限，确定所述待处理POI为热门POI；
    若所述待处理POI处的信息量小于所述第一门限，确定所述待处理POI为冷门POI。
  13. 根据权利要求11所述的装置，其特征在于，所述绑定模块具体用于：
    随机将所述冷门POI与所述热门POI进行绑定；或者
    将所述冷门POI分别与所述热门POI中公众知名度最高的POI进行绑定；或者
    根据所述冷门POI与所述热门POI之间的距离，将相距最近的冷门POI和热门POI进行绑定。
  14. 根据权利要求11-13任一项所述的装置，其特征在于，所述获取模块还用于：
    划分待处理位置区域；
    获取属于同一待处理位置区域的至少两个POI作为所述至少两个待处理POI。
  15. 根据权利要求14所述的装置，其特征在于，还包括：
    创建模块，用于根据每个待处理位置区域内的冷门POI与热门POI的绑定关系以及每个待处理位置区域所属行政区域之间的层级关系，构建POI绑定关系树。
PCT/CN2016/088323 2015-07-13 2016-07-04 Poi服务提供方法、poi数据处理方法及装置 WO2017008653A1 (zh)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201510409113.1 2015-07-13
CN201510409113.1A CN106354719B (zh) 2015-07-13 2015-07-13 Poi服务提供方法、poi数据处理方法及装置

Publications (1)

Publication Number Publication Date
WO2017008653A1 true WO2017008653A1 (zh) 2017-01-19

Family

ID=57756818

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2016/088323 WO2017008653A1 (zh) 2015-07-13 2016-07-04 Poi服务提供方法、poi数据处理方法及装置

Country Status (2)

Country Link
CN (1) CN106354719B (zh)
WO (1) WO2017008653A1 (zh)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111461830A (zh) * 2020-03-31 2020-07-28 上海携程商务有限公司 产品数据的聚合方法、系统、设备及介质
CN111881367A (zh) * 2019-12-28 2020-11-03 北京嘀嘀无限科技发展有限公司 一种推荐上车点方法及系统
CN112884327A (zh) * 2021-02-25 2021-06-01 湖南喜宝达信息科技有限公司 一种电单车潮汐调度方法、服务器系统、及可读存储介质

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108512768B (zh) * 2017-02-23 2021-12-10 苏宁易购集团股份有限公司 一种访问量的控制方法及装置
CN108536703A (zh) * 2017-03-02 2018-09-14 北京嘀嘀无限科技发展有限公司 基于用户数据的目的地确定方法及装置
WO2021129585A1 (zh) * 2019-12-28 2021-07-01 北京嘀嘀无限科技发展有限公司 一种为用户提供定位点推荐的方法和系统
CN111947675B (zh) * 2020-07-31 2022-06-24 新石器慧通（北京）科技有限公司 基于无人导游车辆的人车互寻方法、装置及电子设备

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080243370A1 (en) * 2007-04-02 2008-10-02 Oscar Loera Navigation system with points of interest search
CN102073679A (zh) * 2010-12-08 2011-05-25 四川长虹电器股份有限公司 在导航设备上支持热点查询的方法及导航系统、导航设备
CN102288183A (zh) * 2011-06-22 2011-12-21 北京农业信息技术研究中心 用于农村事件上报的地址定位系统及方法
CN103092964A (zh) * 2013-01-22 2013-05-08 沈阳美行科技有限公司 一种导航设备的父子poi查询方法
CN103150313A (zh) * 2012-03-05 2013-06-12 苏州盛景数字技术服务有限公司 基于空间插值的地址定位方法

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP5525835B2 (ja) * 2010-01-28 2014-06-18 Ｋｄｄｉ株式会社 Ｐｏｉ推薦サーバおよびｐｏｉ推薦システム
CN104462448B (zh) * 2014-12-15 2019-03-12 微梦创科网络科技（中国）有限公司 一种分组名分类方法及装置
CN104679904A (zh) * 2015-03-20 2015-06-03 苏州大学张家港工业技术研究院 一种路网中位置点查询方法及装置

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080243370A1 (en) * 2007-04-02 2008-10-02 Oscar Loera Navigation system with points of interest search
CN102073679A (zh) * 2010-12-08 2011-05-25 四川长虹电器股份有限公司 在导航设备上支持热点查询的方法及导航系统、导航设备
CN102288183A (zh) * 2011-06-22 2011-12-21 北京农业信息技术研究中心 用于农村事件上报的地址定位系统及方法
CN103150313A (zh) * 2012-03-05 2013-06-12 苏州盛景数字技术服务有限公司 基于空间插值的地址定位方法
CN103092964A (zh) * 2013-01-22 2013-05-08 沈阳美行科技有限公司 一种导航设备的父子poi查询方法

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111881367A (zh) * 2019-12-28 2020-11-03 北京嘀嘀无限科技发展有限公司 一种推荐上车点方法及系统
CN111461830A (zh) * 2020-03-31 2020-07-28 上海携程商务有限公司 产品数据的聚合方法、系统、设备及介质
CN112884327A (zh) * 2021-02-25 2021-06-01 湖南喜宝达信息科技有限公司 一种电单车潮汐调度方法、服务器系统、及可读存储介质

Also Published As

Publication number Publication date
CN106354719A (zh) 2017-01-25
CN106354719B (zh) 2019-09-13

Similar Documents

Publication Publication Date Title
WO2017008653A1 (zh) Poi服务提供方法、poi数据处理方法及装置
CN110726418B (zh) 兴趣点区域确定方法、装置、设备及存储介质
US10671649B2 (en) Geographical location search using multiple data sources
JP6671406B2 (ja) 自動的に決定された出発点と選択された目的地との間のナビゲーション案内
JP6442000B2 (ja) 経験上のエキスパートを判断する及び質問をルーティングするシステム及び方法
JP6375293B2 (ja) 地理的場所に基づいて候補用語を推奨する方法および装置
US20220207063A1 (en) Broker mediated geospatial information service
US11122009B2 (en) Systems and methods for identifying geographic locations of social media content collected over social networks
US9749274B1 (en) Associating an event attribute with a user based on a group of one or more electronic messages associated with the user
US9194716B1 (en) Point of interest category ranking
JP6091736B2 (ja) 位置コンテンツの品質を評価するための方法及びシステム
US20130297581A1 (en) Systems and methods for customized filtering and analysis of social media content collected over social networks
US20130304818A1 (en) Systems and methods for discovery of related terms for social media content collection over social networks
CN102411615B (zh) 识别实体的物理位置
US9805130B1 (en) Geographical location search using multiple data sources
US8892551B2 (en) Method and system of location-based content organization and content suggestions
CN105894089A (zh) 一种征信模型的建立方法、征信确定方法及对应装置
US9811539B2 (en) Hierarchical spatial clustering of photographs
WO2011082628A1 (zh) 查找信息的方法和装置
WO2016123867A1 (zh) 一种位置搜索认知的方法及装置
WO2013156448A1 (en) Method and system for user authentication
CN111523031A (zh) 用于推荐兴趣点的方法和装置
US9715553B1 (en) Point of interest retrieval
TWI773658B (zh) Ｐｏｉ服務提供方法、ｐｏｉ資料處理方法及裝置
CN116821525A (zh) 一种续航范围确定方法及相关装置

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 16823800

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 16823800

Country of ref document: EP

Kind code of ref document: A1