CN109800361A - A kind of method for digging of interest point name, device, electronic equipment and storage medium - Google Patents
A kind of method for digging of interest point name, device, electronic equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the invention discloses a kind of method for digging of interest point name, device, electronic equipment and storage mediums.The described method includes: obtaining the search sessions of each user in historical search log；The corresponding interest point name pair of each search sessions is determined according to the search sessions of each user；Wherein, the interest point name of the interest point name centering belongs to the same search sessions；Determine each interest point name to corresponding search characteristics in predetermined search characteristics library；According to the corresponding interest point name pair of each search sessions and each interest point name to corresponding search characteristics, the interest point name of each interest point name centering is excavated.The digging efficiency of interest point name not only can be improved, it can also be ensured that the accuracy rate of interest point name.
Description
Technical Field
The embodiment of the invention relates to the technical field of internet, in particular to a method and a device for mining a point of interest name, electronic equipment and a storage medium.
Background
There are a large number of location points in the electronic map, such as restaurants, hotels, scenic spots, toll booths, etc. marked on the map, and these location points are points of Interest (POIs) that the user may query or want to reach.
Generally, a same point of interest may have a plurality of different names, for example, a certain point of interest may have two names, which are: yonghe and palace and temple; at this time, "grace and palace" may be the original name of the point of interest; the original name is a name already existing in the existing electronic map; the Trumpet temple can be used as a candidate name of the interest point; the candidate name is a name that does not exist in the existing electronic map. In existing electronic map databases, it is likely that not all names of a point of interest are contained. For example, for a point of interest with the original name "yonghougong", only the original name "yonghougong" is present in the database in the electronic map, and the candidate name "temple" is not present. Then, if the user searches for a point of interest named "temple" in the electronic map, the user cannot find this point of interest because the candidate name "temple" does not exist in the database in the electronic map.
In order to improve the search experience of the user, the candidate names of the interest points need to be mined, and then the mined candidate names are supplemented into the electronic map database. In the existing method for mining the names of the interest points, the names of the interest points are usually mined in a manual mode, so that the mining efficiency is low, and the accuracy rate cannot be guaranteed.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method and an apparatus for mining an interest point name, an electronic device, and a storage medium, which can not only improve the mining efficiency of the interest point name, but also ensure the accuracy of the interest point name.
In a first aspect, an embodiment of the present invention provides a method for mining a name of a point of interest, where the method includes:
acquiring search sessions of all users from a historical search log;
determining interest point name pairs corresponding to the search sessions according to the search sessions of the users; wherein the interest point names in the interest point name pair belong to the same search session;
determining search features corresponding to the name pairs of the interest points in a predetermined search feature library;
and mining the interest point names in the interest point name pairs according to the interest point name pairs corresponding to the search sessions and the search characteristics corresponding to the interest point name pairs.
In the above embodiment, the obtaining the search session of each user in the history search log includes:
all POI search words of each user and search time corresponding to each POI search word are obtained from the historical search log;
dividing all POI search words of each user into corresponding search sessions according to the search time corresponding to each POI search word; wherein all POI search terms in each search session are from the same user.
In the above embodiment, the determining, according to the search session of each user, the pair of the interest point names corresponding to each search session includes:
determining POI search words in each search session in the search session of each user;
and combining every two POI search words in each search session into an interest point name pair as the interest point name pair corresponding to each search session.
In the above embodiment, the determining, in the predetermined search feature library, the search feature corresponding to each interest point name pair includes:
determining search result characteristics corresponding to the name pairs of the interest points in a predetermined search result characteristic library; wherein the interest point name pair comprises: a first point of interest name and a second point of interest name;
determining user behavior characteristics corresponding to the name pairs of the interest points in a predetermined user behavior characteristic library; wherein the user behavior characteristics include: the search heat characteristic of the first interest point name and the search co-occurrence characteristic of each interest point name pair.
In the above embodiment, the mining the interest point names in each interest point name pair according to the interest point name pair corresponding to each search session and the search features corresponding to each interest point name pair includes:
inputting the interest point name pairs corresponding to the search sessions and the search features corresponding to the interest point name pairs into a pre-trained discrimination model;
obtaining the discrimination probability value corresponding to each interest point name pair through the discrimination model;
and determining the discrimination result corresponding to each interest point name pair according to the discrimination probability value corresponding to each interest point name pair and a predetermined discrimination threshold value.
In a second aspect, an embodiment of the present invention provides an apparatus for mining a name of a point of interest, where the apparatus includes: the system comprises an acquisition module, a determination module and a mining module; wherein,
the acquisition module is used for acquiring the search conversation of each user in the historical search log;
the determining module is used for determining interest point name pairs corresponding to the search sessions according to the search sessions of the users; wherein the interest point names in the interest point name pair belong to the same search session; determining search features corresponding to the name pairs of the interest points in a predetermined search feature library;
and the mining module is used for mining the interest point names in the interest point name pairs according to the interest point name pairs corresponding to the search sessions and the search characteristics corresponding to the interest point name pairs.
In the above embodiment, the obtaining module includes: acquiring a submodule and a dividing submodule; wherein,
the acquisition sub-module is used for acquiring all POI search words of each user and search time corresponding to each POI search word in the historical search log;
the dividing submodule is used for dividing all POI search words of each user into corresponding search sessions according to the search time corresponding to each POI search word; wherein all POI search terms in each search session are from the same user.
In the above embodiment, the determining module is specifically configured to determine, in a search session of each user, a POI search term in each search session; and combining every two POI search words in each search session into an interest point name pair as the interest point name pair corresponding to each search session.
In the above embodiment, the determining module is specifically configured to determine, in a predetermined search result feature library, a search result feature corresponding to each interest point name pair; wherein the interest point name pair comprises: a first point of interest name and a second point of interest name; determining user behavior characteristics corresponding to the name pairs of the interest points in a predetermined user behavior characteristic library; wherein the user behavior characteristics include: the search heat characteristic of the first interest point name and the search co-occurrence characteristic of each interest point name pair.
In the above embodiment, the mining module is specifically configured to input the interest point name pairs corresponding to each search session and the search features corresponding to each interest point name pair into a pre-trained discrimination model; obtaining the discrimination probability value corresponding to each interest point name pair through the discrimination model; and determining the discrimination result corresponding to each interest point name pair according to the discrimination probability value corresponding to each interest point name pair and a predetermined discrimination threshold value.
In a third aspect, an embodiment of the present invention provides an electronic device, including:
one or more processors;
a memory for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement a method for mining a point of interest name as described in any embodiment of the invention.
In a fourth aspect, an embodiment of the present invention provides a storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements a method for mining a point of interest name according to any embodiment of the present invention.
The embodiment of the invention provides a method and a device for mining an interest point name, electronic equipment and a storage medium, wherein search sessions of users are obtained in a historical search log; then, determining interest point name pairs corresponding to the search sessions according to the search sessions of the users; determining search features corresponding to the name pairs of the interest points in a predetermined search feature library; and mining the interest point names in the interest point name pairs according to the interest point name pairs corresponding to the search sessions and the search characteristics corresponding to the interest point name pairs. That is to say, in the technical solution of the present invention, the interest point name pair corresponding to each search session can be determined according to the search session of each user; after the search features corresponding to the interest point name pairs are determined, the interest point names in the interest point name pairs are mined according to the interest point name pairs corresponding to the search sessions and the search features corresponding to the interest point name pairs. In the existing method for mining the names of the interest points, the names of the interest points are usually mined manually, so that the mining efficiency is low, and the accuracy cannot be guaranteed. Therefore, compared with the prior art, the method, the device, the electronic device and the storage medium for mining the name of the point of interest provided by the embodiment of the invention can not only improve the mining efficiency of the name of the point of interest, but also ensure the accuracy of the name of the point of interest; moreover, the technical scheme of the embodiment of the invention is simple and convenient to realize, convenient to popularize and wider in application range.
Drawings
Fig. 1 is a schematic flowchart of a method for mining a name of a point of interest according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating a method for mining a name of a point of interest according to a second embodiment of the present invention;
fig. 3 is a schematic flowchart of a method for mining names of points of interest according to a third embodiment of the present invention;
fig. 4 is a first structural diagram of an apparatus for mining a name of a point of interest according to a fourth embodiment of the present invention;
fig. 5 is a second schematic structural diagram of an interest point name mining device according to a fourth embodiment of the present invention;
fig. 6 is a schematic structural diagram of an electronic device according to a fifth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some but not all of the relevant aspects of the present invention are shown in the drawings.
Example one
Fig. 1 is a flowchart of a method for mining a name of a point of interest according to an embodiment of the present invention, where the method may be executed by a device or an electronic device for mining a name of a point of interest, where the device or the electronic device may be implemented by software and/or hardware, and the device or the electronic device may be integrated in any intelligent device with a network communication function. As shown in fig. 1, the method for mining the interest point name may include the following steps:
s101, search sessions of all users are obtained in a history search log.
In a specific embodiment of the present invention, the electronic device may obtain the search sessions of each user in the historical search logs. Specifically, the electronic device may first obtain all POI search terms of each user and search time corresponding to each POI search term in a history search log; dividing all POI search words of each user into corresponding search sessions according to the search time corresponding to each POI search word; wherein all POI search terms in each search session are from the same user. For example, assume that a historical search log of a certain user includes N POI search terms, which are: POI search term 1, POI search term 2, …, POI search term N; wherein N is a natural number greater than 1; the searching time corresponding to the POI searching word 1 is the searching time 1, the searching time corresponding to the POI searching word 2 is the searching time 2 and …, and the searching time corresponding to the POI searching word N is the searching time N. In the specific embodiment of the invention, if the difference value of the search time corresponding to two consecutive POI search terms is less than or equal to the preset threshold, it indicates that the two consecutive POI search terms belong to the same search session; and if the difference value of the searching time corresponding to two continuous POI searching words is larger than a preset threshold value, the two connected POI searching words do not belong to the same searching session.
S102, determining interest point name pairs corresponding to search sessions according to the search sessions of all users; wherein the point of interest names in the point of interest name pair belong to the same search session.
In a specific embodiment of the present invention, the electronic device may determine, according to the search session of each user, a pair of interest point names corresponding to each search session; wherein the point of interest names in the point of interest name pair belong to the same search session. For example, assume that a historical search log of a user may include N POI search terms, which are: POI search term 1, POI search term 2, …, POI search term N; wherein N is a natural number greater than 1; the searching time corresponding to the POI searching word 1 is the searching time 1, the searching time corresponding to the POI searching word 2 is the searching time 2 and …, and the searching time corresponding to the POI searching word N is the searching time N. Assuming that the search time 1 corresponding to the POI search word 1 and the search time 2 corresponding to the search word 2 are smaller than a preset threshold, it indicates that the POI search word 1 and the POI search word 2 belong to the same search session, and therefore, the POI search word 1 and the POI search word 2 may be determined as a pair of interest point names corresponding to the search session. And then, assuming that the search time 2 corresponding to the POI search word 2 and the search time 3 corresponding to the search word 3 are smaller than a preset threshold, it indicates that the POI search word 2 and the POI search word 3 also belong to the same search session, and therefore, the POI search word 2 and the POI search word 3 can also be determined as a pair of interest point names corresponding to the search session.
S103, determining the search features corresponding to the interest point name pairs in a predetermined search feature library.
In an embodiment of the present invention, the electronic device may determine, in a predetermined search feature library, a search feature corresponding to each interest point name pair. Specifically, the electronic device may determine, in a predetermined search result feature library, search result features corresponding to respective interest point name pairs; wherein the interest point name pair comprises: a first point of interest name and a second point of interest name; in the specific embodiment of the invention, the second POI search term in the POI name pair is required to correspond to a POI in the electronic map database; the method for determining that the second POI search word can correspond to a POI in the electronic map database comprises the following steps: when searching for the second POI search term, the user can obtain the search result of the second POI search term through the POI search engine, and click the POI in the search result of the second POI search term, and the clicked POI is used as the POI corresponding to the second POI search term. In addition, the electronic equipment can also determine user behavior characteristics corresponding to the name pairs of the interest points in a predetermined user behavior characteristic library; wherein, the user behavior characteristics include: the search heat characteristic of the first interest point name and the search co-occurrence characteristic of each interest point name pair.
And S104, mining the interest point names in the interest point name pairs according to the interest point name pairs corresponding to the search sessions and the search characteristics corresponding to the interest point name pairs.
In a specific embodiment of the present invention, the electronic device may mine the interest point names in each interest point name pair according to the interest point name pair corresponding to each search session and the search feature corresponding to each interest point name pair. Specifically, the electronic device may input the interest point name pairs corresponding to each search session and the search features corresponding to each interest point name pair into a pre-trained discriminant model; the discrimination probability value corresponding to each interest point name pair can be obtained through the discrimination model; and determining the discrimination result corresponding to each interest point name pair according to the discrimination probability value corresponding to each interest point name pair and a predetermined discrimination threshold value. For example, for a point of interest name pair (POI search term 1, POI search term 2), the POI search term 2 is the original name of the POI; the original name is a name already existing in the existing electronic map; the POI search word 1 is a suspected candidate name of the POI; the suspected candidate name is an alternative name to be added to an existing electronic map. In this step, the electronic device may input a point of interest name pair (POI search term 1, POI search term 2) and a search feature corresponding to the point of interest name pair into a pre-trained discriminant model; assuming that the discrimination probability value corresponding to the interest point name pair obtained by the discrimination model is 80%; assuming that the predetermined discrimination threshold is 50%; then it can be determined that the POI search word 1 is a candidate name of a POI corresponding to the POI search word 2.
The method for mining the name of the interest point, provided by the embodiment of the invention, comprises the steps of firstly obtaining search sessions of each user in a historical search log; then, determining interest point name pairs corresponding to the search sessions according to the search sessions of the users; determining search features corresponding to the name pairs of the interest points in a predetermined search feature library; and mining the interest point names in the interest point name pairs according to the interest point name pairs corresponding to the search sessions and the search characteristics corresponding to the interest point name pairs. That is to say, in the technical solution of the present invention, the interest point name pair corresponding to each search session can be determined according to the search session of each user; after the search features corresponding to the interest point name pairs are determined, the interest point names in the interest point name pairs are mined according to the interest point name pairs corresponding to the search sessions and the search features corresponding to the interest point name pairs. In the existing method for mining the names of the interest points, the names of the interest points are usually mined manually, so that the mining efficiency is low, and the accuracy cannot be guaranteed. Therefore, compared with the prior art, the method for mining the names of the interest points, which is provided by the embodiment of the invention, can improve the mining efficiency of the names of the interest points and ensure the accuracy of the names of the interest points; moreover, the technical scheme of the embodiment of the invention is simple and convenient to realize, convenient to popularize and wider in application range.
Example two
Fig. 2 is a flowchart illustrating a method for mining a name of a point of interest according to a second embodiment of the present invention. As shown in fig. 2, the method for mining the interest point name may include the following steps:
s201, all POI search words of each user and search time corresponding to each POI search word are obtained from a history search log.
In a specific embodiment of the present invention, the electronic device may obtain all POI search terms of each user and search time corresponding to each POI search term in the history search log. For example, assume that a historical search log of a user may include N POI search terms, which are: POI search term 1, POI search term 2, …, POI search term N; wherein N is a natural number greater than 1; the searching time corresponding to the POI searching word 1 is the searching time 1, the searching time corresponding to the POI searching word 2 is the searching time 2 and …, and the searching time corresponding to the POI searching word N is the searching time N.
S202, dividing all POI search terms of each user into corresponding search sessions according to the search time corresponding to each POI search term; wherein all POI search terms in each search session are from the same user.
In a specific embodiment of the present invention, the electronic device may divide all POI search terms of each user into search sessions corresponding to the POI search terms according to search time corresponding to each POI search term; wherein all POI search terms in each search session are from the same user. Specifically, in the specific embodiment of the present invention, if a difference between search times corresponding to two consecutive POI search terms is less than or equal to a preset threshold, it indicates that the two consecutive POI search terms belong to the same search session; and if the difference value of the searching time corresponding to two continuous POI searching words is larger than a preset threshold value, the two connected POI searching words do not belong to the same searching session. For example, if the search time 1 corresponding to the POI search word 1 and the search time 2 corresponding to the POI search word 2 are smaller than a preset threshold, it indicates that the POI search word 1 and the POI search word 2 belong to the same search session, and therefore, in this step, the electronic device may divide the POI search word 1 and the POI search word 2 into the search session; further, assuming that the search time 2 corresponding to the POI search word 2 and the search time 3 corresponding to the search word 3 are smaller than a preset threshold, it indicates that the POI search word 2 and the POI search word 3 also belong to the same search session, and therefore, in this step, the electronic device may also divide the POI search word 2 and the POI search word 3 into the search session.
S203, POI search words in each search session are determined in the search session of each user.
In an embodiment of the present invention, the electronic device may determine, in the search session of each user, POI search terms in each search session. For example, assume that a search session of a user includes three POI search terms, respectively: a POI search word q1, a POI search word q2 and a POI search word q 3; in this step, the electronic device may determine the POI search word q1, the POI search word q2, and the POI search word q3 in the search session.
And S204, combining every two POI search words in each search session into an interest point name pair as the interest point name pair corresponding to each search session.
In a specific embodiment of the present invention, the electronic device may combine every two POI search terms in each search session into one POI name pair, which is used as the POI name pair corresponding to each search session. For example, assume that a search session of a user includes three POI search terms, respectively: a POI search word q1, a POI search word q2 and a POI search word q 3; in this step, the electronic device may combine the POI search word q1 and the POI search word q2 into a point of interest name pair as the point of interest name pair corresponding to the search session; the POI search word q2 and the POI search word q3 can be combined into a POI name pair as the POI name pair corresponding to the search session; the POI search word q1 and the POI search word q3 may also be combined into a point of interest name pair as the point of interest name pair corresponding to the search session.
S205, determining the search features corresponding to the interest point name pairs in a predetermined search feature library.
In an embodiment of the present invention, the electronic device may determine, in a predetermined search feature library, a search feature corresponding to each interest point name pair. Specifically, the electronic device may determine, in a predetermined search result feature library, search result features corresponding to respective interest point name pairs; wherein the interest point name pair comprises: a first point of interest name and a second point of interest name; in the specific embodiment of the invention, the second POI search term in the POI name pair is required to correspond to a POI in the electronic map database; the method for determining that the second POI search word can correspond to a POI in the electronic map database comprises the following steps: when searching for the second POI search term, the user can obtain the search result of the second POI search term through the POI search engine, and click the POI in the search result of the second POI search term, and the clicked POI is used as the POI corresponding to the second POI search term. In addition, the electronic equipment can also determine user behavior characteristics corresponding to the name pairs of the interest points in a predetermined user behavior characteristic library; wherein, the user behavior characteristics include: the search heat characteristic of the first interest point name and the search co-occurrence characteristic of each interest point name pair.
S206, mining the interest point names in the interest point name pairs according to the interest point name pairs corresponding to the search sessions and the search characteristics corresponding to the interest point name pairs.
In a specific embodiment of the present invention, the electronic device may mine the interest point names in each interest point name pair according to the interest point name pair corresponding to each search session and the search feature corresponding to each interest point name pair. Specifically, the electronic device may input the interest point name pairs corresponding to each search session and the search features corresponding to each interest point name pair into a pre-trained discriminant model; the discrimination probability value corresponding to each interest point name pair can be obtained through the discrimination model; and determining the discrimination result corresponding to each interest point name pair according to the discrimination probability value corresponding to each interest point name pair and a predetermined discrimination threshold value. For example, for a point of interest name pair (POI search term 1, POI search term 2), the POI search term 2 is the original name of the POI; the original name is a name already existing in the existing electronic map; the POI search word 1 is a suspected candidate name of the POI; the suspected candidate name is an alternative name to be added to an existing electronic map. In this step, the electronic device may input a point of interest name pair (POI search term 1, POI search term 2) and a search feature corresponding to the point of interest name pair into a pre-trained discriminant model; assuming that the discrimination probability value corresponding to the interest point name pair obtained by the discrimination model is 80%; assuming that the predetermined discrimination threshold is 50%; then it can be determined that the POI search word 1 is a candidate name of a POI corresponding to the POI search word 2.
The method for mining the name of the interest point, provided by the embodiment of the invention, comprises the steps of firstly obtaining search sessions of each user in a historical search log; then, determining interest point name pairs corresponding to the search sessions according to the search sessions of the users; determining search features corresponding to the name pairs of the interest points in a predetermined search feature library; and mining the interest point names in the interest point name pairs according to the interest point name pairs corresponding to the search sessions and the search characteristics corresponding to the interest point name pairs. That is to say, in the technical solution of the present invention, the interest point name pair corresponding to each search session can be determined according to the search session of each user; after the search features corresponding to the interest point name pairs are determined, the interest point names in the interest point name pairs are mined according to the interest point name pairs corresponding to the search sessions and the search features corresponding to the interest point name pairs. In the existing method for mining the names of the interest points, the names of the interest points are usually mined manually, so that the mining efficiency is low, and the accuracy cannot be guaranteed. Therefore, compared with the prior art, the method for mining the names of the interest points, which is provided by the embodiment of the invention, can improve the mining efficiency of the names of the interest points and ensure the accuracy of the names of the interest points; moreover, the technical scheme of the embodiment of the invention is simple and convenient to realize, convenient to popularize and wider in application range.
EXAMPLE III
Fig. 3 is a flowchart illustrating a method for mining names of points of interest according to a third embodiment of the present invention. As shown in fig. 3, the method for mining the interest point name may include the following steps:
s301, all POI search words of each user and search time corresponding to each POI search word are obtained from a history search log.
In a specific embodiment of the present invention, the electronic device may obtain all POI search terms of each user and search time corresponding to each POI search term in the history search log. For example, assume that a historical search log of a user may include N POI search terms, which are: POI search term 1, POI search term 2, …, POI search term N; wherein N is a natural number greater than 1; the searching time corresponding to the POI searching word 1 is the searching time 1, the searching time corresponding to the POI searching word 2 is the searching time 2 and …, and the searching time corresponding to the POI searching word N is the searching time N.
S302, dividing all POI search words of each user into corresponding search sessions according to the search time corresponding to each POI search word; wherein all POI search terms in each search session are from the same user.
In a specific embodiment of the present invention, the electronic device may divide all POI search terms of each user into search sessions corresponding to the POI search terms according to search time corresponding to each POI search term; wherein all POI search terms in each search session are from the same user. Specifically, in the specific embodiment of the present invention, if a difference between search times corresponding to two consecutive POI search terms is less than or equal to a preset threshold, it indicates that the two consecutive POI search terms belong to the same search session; and if the difference value of the searching time corresponding to two continuous POI searching words is larger than a preset threshold value, the two connected POI searching words do not belong to the same searching session. For example, if the search time 1 corresponding to the POI search word 1 and the search time 2 corresponding to the POI search word 2 are smaller than a preset threshold, it indicates that the POI search word 1 and the POI search word 2 belong to the same search session, and therefore, in this step, the electronic device may divide the POI search word 1 and the POI search word 2 into the search session; further, assuming that the search time 2 corresponding to the POI search word 2 and the search time 3 corresponding to the search word 3 are smaller than a preset threshold, it indicates that the POI search word 2 and the POI search word 3 also belong to the same search session, and therefore, in this step, the electronic device may also divide the POI search word 2 and the POI search word 3 into the search session.
S303, determining POI search words in each search session in the search sessions of each user.
In an embodiment of the present invention, the electronic device may determine, in the search session of each user, POI search terms in each search session. For example, assume that a search session of a user includes three POI search terms, respectively: a POI search word q1, a POI search word q2 and a POI search word q 3; in this step, the electronic device may determine the POI search word q1, the POI search word q2, and the POI search word q3 in the search session.
S304, combining every two POI search words in each search session into an interest point name pair as the interest point name pair corresponding to each search session.
In a specific embodiment of the present invention, the electronic device may combine every two POI search terms in each search session into one POI name pair, which is used as the POI name pair corresponding to each search session. For example, assume that a search session of a user includes three POI search terms, respectively: a POI search word q1, a POI search word q2 and a POI search word q 3; in this step, the electronic device may combine the POI search word q1 and the POI search word q2 into a point of interest name pair as the point of interest name pair corresponding to the search session; the POI search word q2 and the POI search word q3 can be combined into a POI name pair as the POI name pair corresponding to the search session; the POI search word q1 and the POI search word q3 may also be combined into a point of interest name pair as the point of interest name pair corresponding to the search session.
S305, determining the search result characteristics corresponding to the interest point name pairs in a predetermined search result characteristic library.
In an embodiment of the present invention, the electronic device may determine, in a predetermined search result feature library, a search result feature corresponding to each interest point name pair. The retrieval results of the general search engine are good in relevance, and the interest point name pair (q) is goodi，qj) If q isiIs qjCandidate name of (1), then qiIs likely to contain qjA representative character string; otherwise, q appears in the search resultjThe probability of representing a string is low. Thus, in particular embodiments of the present invention, an electronic device may use qiAs a search word of a general search engine, a search result is obtained in the general search engine and then searchedStatistics of q in the resultsjAnd the number of occurrences is used as the corresponding search result characteristic of the interest point name pair. Here, the general search engine is a search engine for searching POI and non-POI; a POI search engine is a search engine dedicated to searching for POIs.
S306, determining user behavior characteristics corresponding to the interest point names in a predetermined user behavior characteristic library; wherein, the user behavior characteristics include: the search heat characteristic of the first interest point name and the search co-occurrence characteristic of each interest point name pair.
In a specific embodiment of the present invention, the electronic device may determine, in a predetermined user behavior feature library, user behavior features corresponding to the name pairs of the respective interest points; wherein, the user behavior characteristics include: the search heat characteristic of the first interest point name and the search co-occurrence characteristic of each interest point name pair. Specifically, for the interest point name pair (q)i，qj) If q isiIs low, then q is representediAnd q isjThe probability of representing the same POI is low. In addition, q isiAnd q isjOccurred in the same search session, then qiAnd q isjThe probability of representing the same POI is high. In a specific embodiment of the present invention, the search co-occurrence feature of each interest point name pair may include: the co-occurrence times of the interest point name pairs, the transition probability of the interest point name pairs and the mutual information of the interest point name pairs. Specifically, for the interest point name pair (q)i，qj) The number of co-occurrences of the interest point name pair is as follows: in a search session of all users within a certain history period, qiAnd q isjNumber of co-occurring search sessions cnt (q)i，qj) (ii) a The transition probability of the interest point name pair is: the number of times of co-occurrence search sessions cnt (q) of the interest point name pair among search sessions of all users within a certain history periodi，qj) And q isjNumber of search sessions cnt (q) of occurrencesj) The ratio of (A) to (B); is expressed asThe mutual information of the interest point name pair represents qiAnd q isjThe interdependence between them; is expressed by formula asWherein, cnt (q)i，qj) In search sessions for all users within a certain history period, qiAnd q isjThe number of co-occurring search sessions; cnt (q)i) In search sessions for all users within a certain history period, qiThe number of search sessions that occurred; cnt (q)i) In search sessions for all users within a certain history period, qjNumber of search sessions that occurred.
S307, mining the interest point names in the interest point name pairs according to the interest point name pairs corresponding to the search sessions and the search characteristics corresponding to the interest point name pairs.
In a specific embodiment of the present invention, the electronic device may mine the interest point names in each interest point name pair according to the interest point name pair corresponding to each search session and the search feature corresponding to each interest point name pair. Specifically, the electronic device may input the interest point name pairs corresponding to each search session and the search features corresponding to each interest point name pair into a pre-trained discriminant model; the discrimination probability value corresponding to each interest point name pair can be obtained through the discrimination model; and determining the discrimination result corresponding to each interest point name pair according to the discrimination probability value corresponding to each interest point name pair and a predetermined discrimination threshold value. For example, for a point of interest name pair (POI search term 1, POI search term 2), the POI search term 2 is the original name of the POI; the original name is a name already existing in the existing electronic map; the POI search word 1 is a suspected candidate name of the POI; the suspected candidate name is an alternative name to be added to an existing electronic map. In this step, the electronic device may input a point of interest name pair (POI search term 1, POI search term 2) and a search feature corresponding to the point of interest name pair into a pre-trained discriminant model; assuming that the discrimination probability value corresponding to the interest point name pair obtained by the discrimination model is 80%; assuming that the predetermined discrimination threshold is 50%; it may be determined that the POI search word 1 is a candidate name of the POI search word.
The method for mining the name of the interest point, provided by the embodiment of the invention, comprises the steps of firstly obtaining search sessions of each user in a historical search log; then, determining interest point name pairs corresponding to the search sessions according to the search sessions of the users; determining search features corresponding to the name pairs of the interest points in a predetermined search feature library; and mining the interest point names in the interest point name pairs according to the interest point name pairs corresponding to the search sessions and the search characteristics corresponding to the interest point name pairs. That is to say, in the technical solution of the present invention, the interest point name pair corresponding to each search session can be determined according to the search session of each user; after the search features corresponding to the interest point name pairs are determined, the interest point names in the interest point name pairs are mined according to the interest point name pairs corresponding to the search sessions and the search features corresponding to the interest point name pairs. In the existing method for mining the names of the interest points, the names of the interest points are usually mined manually, so that the mining efficiency is low, and the accuracy cannot be guaranteed. Therefore, compared with the prior art, the method for mining the names of the interest points, which is provided by the embodiment of the invention, can improve the mining efficiency of the names of the interest points and ensure the accuracy of the names of the interest points; moreover, the technical scheme of the embodiment of the invention is simple and convenient to realize, convenient to popularize and wider in application range.
Example four
Fig. 4 is a first structural diagram of a mining apparatus for name of interest according to a fourth embodiment of the present invention. As shown in fig. 4, the device for mining a name of a point of interest according to an embodiment of the present invention may include: an acquisition module 401, a determination module 402 and a mining module 403; wherein,
the obtaining module 401 is configured to obtain search sessions of each user in a history search log;
the determining module 402 is configured to determine, according to the search sessions of each user, a pair of interest point names corresponding to each search session; wherein the interest point names in the interest point name pair belong to the same search session; determining search features corresponding to the name pairs of the interest points in a predetermined search feature library;
the mining module 403 is configured to mine the interest point names in each interest point name pair according to the interest point name pair corresponding to each search session and the search features corresponding to each interest point name pair.
Fig. 5 is a second structural diagram of the mining device for the name of the point of interest according to the fourth embodiment of the present invention. As shown in fig. 5, the obtaining module 401 includes: an obtaining sub-module 4011 and a dividing sub-module 4012; wherein,
the obtaining sub-module 4011 is configured to obtain all POI search terms of each user and search time corresponding to each POI search term in the historical search log;
the dividing submodule 4012 is configured to divide all POI search terms of each user into search sessions corresponding to the POI search terms according to search time corresponding to each POI search term; wherein all POI search terms in each search session are from the same user.
Further, the determining module 402 is specifically configured to determine, in the search session of each user, a POI search term in each search session; and combining every two POI search words in each search session into an interest point name pair as the interest point name pair corresponding to each search session.
Further, the determining module 402 is specifically configured to determine, in a predetermined search result feature library, search result features corresponding to the name pairs of the interest points; wherein the interest point name pair comprises: a first point of interest name and a second point of interest name; determining user behavior characteristics corresponding to the name pairs of the interest points in a predetermined user behavior characteristic library; wherein the user behavior characteristics include: the search heat characteristic of the first interest point name and the search co-occurrence characteristic of each interest point name pair.
Further, the mining module 403 is specifically configured to input the interest point name pairs corresponding to each search session and the search features corresponding to each interest point name pair into a pre-trained discriminant model; obtaining the discrimination probability value corresponding to each interest point name pair through the discrimination model; and determining the discrimination result corresponding to each interest point name pair according to the discrimination probability value corresponding to each interest point name pair and a predetermined discrimination threshold value.
The mining device of the interest point name can execute the method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method. For the technical details that are not described in detail in this embodiment, reference may be made to the method for mining the name of the point of interest provided in any embodiment of the present invention.
EXAMPLE five
Fig. 6 is a schematic structural diagram of an electronic device according to a fifth embodiment of the present invention. FIG. 6 illustrates a block diagram of an exemplary electronic device suitable for use in implementing embodiments of the present invention. The electronic device 12 shown in fig. 6 is only an example and should not bring any limitation to the function and the scope of use of the embodiment of the present invention.
As shown in FIG. 6, electronic device 12 is embodied in the form of a general purpose computing device. The components of electronic device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that couples various system components including the system memory 28 and the processing unit 16.
Bus 18 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. By way of example, such architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, micro-channel architecture (MAC) bus, enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
Electronic device 12 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by electronic device 12 and includes both volatile and nonvolatile media, removable and non-removable media.
The system memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM)30 and/or cache memory 32. The electronic device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 6, and commonly referred to as a "hard drive"). Although not shown in FIG. 6, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 by one or more data media interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
A program/utility 40 having a set (at least one) of program modules 42 may be stored, for example, in memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 42 generally carry out the functions and/or methodologies of the described embodiments of the invention.
Electronic device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), with one or more devices that enable a user to interact with electronic device 12, and/or with any devices (e.g., network card, modem, etc.) that enable electronic device 12 to communicate with one or more other computing devices. Such communication may be through an input/output (I/O) interface 22. Also, the electronic device 12 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet) via the network adapter 20. As shown, the network adapter 20 communicates with other modules of the electronic device 12 via the bus 18. It should be appreciated that although not shown in FIG. 6, other hardware and/or software modules may be used in conjunction with electronic device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
The processing unit 16 executes various functional applications and data processing, such as implementing a point of interest name mining method provided by an embodiment of the present invention, by running a program stored in the system memory 28.
EXAMPLE six
The sixth embodiment of the invention provides a computer storage medium.
The computer-readable storage media of embodiments of the invention may take any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (12)
1. A method for mining a point of interest name, the method comprising:
acquiring search sessions of all users from a historical search log;
determining interest point name pairs corresponding to the search sessions according to the search sessions of the users; wherein the interest point names in the interest point name pair belong to the same search session;
determining search features corresponding to the name pairs of the interest points in a predetermined search feature library;
and mining the interest point names in the interest point name pairs according to the interest point name pairs corresponding to the search sessions and the search characteristics corresponding to the interest point name pairs.
2. The method of claim 1, wherein obtaining search sessions of respective users in the historical search log comprises:
all POI search words of all the users and the search time corresponding to each POI search word are obtained from the historical search log;
dividing all POI search words of each user into corresponding search sessions according to the search time corresponding to each POI search word; wherein all POI search terms in each search session are from the same user.
3. The method of claim 1, wherein determining the interest point name pair corresponding to each search session according to the search session of each user comprises:
determining POI search words in each search session in the search session of each user;
and combining every two POI search words in each search session into an interest point name pair as the interest point name pair corresponding to each search session.
4. The method of claim 1, wherein determining the search feature corresponding to each interest point name pair in a predetermined search feature library comprises:
determining search result characteristics corresponding to the name pairs of the interest points in a predetermined search result characteristic library; wherein the interest point name pair comprises: a first point of interest name and a second point of interest name;
determining user behavior characteristics corresponding to the name pairs of the interest points in a predetermined user behavior characteristic library; wherein the user behavior characteristics include: the search heat characteristic of the first interest point name and the search co-occurrence characteristic of each interest point name pair.
5. The method of claim 1, wherein mining the interest point names in each pair of interest point names according to the pair of interest point names corresponding to each search session and the search features corresponding to each pair of interest point names comprises:
inputting the interest point name pairs corresponding to the search sessions and the search features corresponding to the interest point name pairs into a pre-trained discrimination model;
obtaining the discrimination probability value corresponding to each interest point name pair through the discrimination model;
and determining the discrimination result corresponding to each interest point name pair according to the discrimination probability value corresponding to each interest point name pair and a predetermined discrimination threshold value.
6. An apparatus for mining a point of interest name, the apparatus comprising: the system comprises an acquisition module, a determination module and a mining module; wherein,
the acquisition module is used for acquiring the search conversation of each user in the historical search log;
the determining module is used for determining interest point name pairs corresponding to the search sessions according to the search sessions of the users; wherein the interest point names in the interest point name pair belong to the same search session; determining search features corresponding to the name pairs of the interest points in a predetermined search feature library;
and the mining module is used for mining the interest point names in the interest point name pairs according to the interest point name pairs corresponding to the search sessions and the search characteristics corresponding to the interest point name pairs.
7. The apparatus of claim 6, wherein the obtaining module comprises: acquiring a submodule and a dividing submodule; wherein,
the acquisition sub-module is used for acquiring all POI search words of each user and search time corresponding to each POI search word in the historical search log;
the dividing submodule is used for dividing all POI search words of each user into corresponding search sessions according to the search time corresponding to each POI search word; wherein all POI search terms in each search session are from the same user.
8. The apparatus of claim 6, wherein:
the determining module is specifically configured to determine, in the search session of each user, a POI search term in each search session; and combining every two POI search words in each search session into an interest point name pair as the interest point name pair corresponding to each search session.
9. The apparatus of claim 6, wherein:
the determining module is specifically configured to determine search result features corresponding to the name pairs of the interest points in a predetermined search result feature library; wherein the interest point name pair comprises: a first point of interest name and a second point of interest name; determining user behavior characteristics corresponding to the name pairs of the interest points in a predetermined user behavior characteristic library; wherein the user behavior characteristics include: the search heat characteristic of the first interest point name and the search co-occurrence characteristic of each interest point name pair.
10. The apparatus of claim 6, wherein:
the mining module is specifically used for inputting the interest point name pairs corresponding to the search sessions and the search features corresponding to the interest point name pairs into a pre-trained discrimination model; obtaining the discrimination probability value corresponding to each interest point name pair through the discrimination model; and determining the discrimination result corresponding to each interest point name pair according to the discrimination probability value corresponding to each interest point name pair and a predetermined discrimination threshold value.
11. An electronic device, comprising:
one or more processors;
a memory for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of mining point of interest names according to any one of claims 1 to 5.
12. A storage medium on which a computer program is stored which, when being executed by a processor, implements a method of mining a point of interest name as claimed in any one of claims 1 to 5.
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