CN110716992A - Method and device for recommending name of point of interest - Google Patents
Method and device for recommending name of point of interest Download PDFInfo
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Abstract
The invention provides a method and a device for recommending interest point names, wherein the method comprises the following steps: acquiring the industry type of a target interest point input by a user; determining a header special word of the target interest point name according to the industry type; recommending one or more candidate word sets to a user according to user requirements according to a pre-established industry associated word bank corresponding to an industry type and/or an industry hot word bank; acquiring target words selected by a user from the candidate word set recommended each time, and sequentially adding the target words to the back of the header special words; and generating the name of the target interest point according to the head special words and all the following target word combinations. Therefore, more standard interest point names can be generated according to user requirements and combined with the pre-established industry associated word bank and the industry hot word bank corresponding to the industry types, the recognition degree of the interest point names is further improved, and the user retrieval is facilitated.
Description
Technical Field
The invention relates to the technical field of electronic maps, in particular to a method and a device for recommending a name of a point of interest.
Background
Generally, comprehensive POI (Point of Interest) information is essential information for enriching a navigation map, and an Interest Point can remind a user of detailed information of branches of road conditions and surrounding buildings, and can also facilitate searching of each required place in navigation and select the most convenient and unobstructed road for path planning, so that the POI name of the navigation map can influence the good use degree of navigation.
In the prior art, a large number of POI names are generated every day, so that a user cannot timely acquire a proper POI name, and the problem of inconvenient retrieval is caused.
Disclosure of Invention
The present invention is directed to solving, at least to some extent, one of the technical problems in the related art.
Therefore, a first object of the present invention is to provide a method for recommending a name of an interest point, so as to generate a more standard name of the interest point according to user requirements and by combining the name with a pre-established industry associated lexicon and an industry hot lexicon corresponding to an industry type, thereby solving the technical problem in the prior art that a user cannot obtain a proper POI name in time and the retrieval is inconvenient.
The second objective of the present invention is to provide a point of interest name recommendation apparatus.
A third object of the invention is to propose a computer device.
A fourth object of the invention is to propose a non-transitory computer-readable storage medium.
A fifth object of the invention is to propose a computer program product.
To achieve the above object, an embodiment of a first aspect of the present invention provides a method for recommending a name of a point of interest, including:
acquiring the industry type of a target interest point input by a user;
determining a header special word of the target interest point name according to the industry type;
recommending one or more candidate word sets to the user according to the user requirements according to a pre-established industry associated word bank corresponding to the industry type and/or an industry hot word bank;
acquiring target words selected by the user from the candidate word set recommended each time, and sequentially adding the target words to the back of the header special words;
and generating the name of the target interest point according to the header special words and all the following target word combinations.
The method for recommending the name of the interest point comprises the steps of obtaining an industry type to which a target interest point input by a user belongs, determining a head special word of the name of the target interest point according to the industry type, recommending one or more times of candidate word sets to the user according to the user requirement according to a pre-established industry associated word bank corresponding to the industry type and/or an industry hot word bank, obtaining target words selected by the user from the candidate word sets recommended each time, sequentially adding the target words to the back of the head special word, and finally generating the name of the target interest point according to the head special word and all the back target words. Therefore, more standard interest point names can be generated according to user requirements and combined with the pre-established industry associated word bank and the industry hot word bank corresponding to the industry types, the recognition degree of the interest point names is further improved, and the user retrieval is facilitated.
In order to achieve the above object, a second aspect of the present invention provides an apparatus for recommending a point of interest name, including:
the acquisition module is used for acquiring the industry type of the target interest point input by the user;
the determining module is used for determining the header special words of the target interest point names according to the industry types;
the recommendation module is used for recommending one or more candidate word sets to the user according to a pre-established industry associated word bank corresponding to the industry type and/or an industry hot word bank according to the user requirement;
the adding module is used for acquiring target words selected by the user from the candidate word set recommended each time and sequentially adding the target words to the back of the header special words;
and the generating module is used for generating the name of the target interest point according to the combination of the header special words and all the following target words.
The interest point name recommending device of the embodiment of the invention obtains the industry type to which a target interest point input by a user belongs, determines the head special word of the target interest point name according to the industry type, then recommends one or more times of candidate word sets to the user according to the user requirement according to a pre-established industry associated word bank corresponding to the industry type and/or an industry hot word bank, obtains the target word selected by the user from the candidate word sets recommended each time, sequentially adds the target word to the back of the head special word, and finally generates the name of the target interest point according to the combination of the head special word and all the back target words. Therefore, more standard interest point names can be generated according to user requirements and combined with the pre-established industry associated word bank and the industry hot word bank corresponding to the industry types, the recognition degree of the interest point names is further improved, and the user retrieval is facilitated.
To achieve the above object, a third embodiment of the present invention provides a computer device, including: a processor; a memory for storing the processor-executable instructions; the processor reads the executable program code stored in the memory to run a program corresponding to the executable program code, so as to execute the point of interest name recommendation method described in the embodiment of the first aspect.
In order to achieve the above object, a fourth aspect of the present invention provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program is configured to, when executed by a processor, implement a point of interest name recommendation method according to an embodiment of the first aspect of the present invention.
In order to achieve the above object, a fifth embodiment of the present invention provides a computer program product, wherein when being executed by an instruction processor, the computer program product implements the point of interest name recommendation method according to the first embodiment of the present invention.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The foregoing and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a flowchart illustrating a method for recommending a point of interest name according to an embodiment of the present invention;
fig. 2 is a schematic flow chart illustrating the establishment of an industry hot thesaurus and an industry associated thesaurus corresponding to each industry type according to a first embodiment of the present invention;
fig. 3 is a flowchart illustrating a method for recommending a point of interest name according to a second embodiment of the present invention;
fig. 4 is a schematic structural diagram of an apparatus for recommending a name of a point of interest according to an embodiment of the present invention; and
FIG. 5 illustrates a block diagram of an exemplary computer device suitable for use in implementing embodiments of the present application.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
The method aims at the technical problems that a large number of POI names are generated every day in the prior art, so that a user cannot timely and accurately acquire proper POI names from the large number of POI names, and the retrieval is inconvenient. In the embodiment of the invention, more standard interest point names are generated by combining the industry association word bank and the industry hot word bank which are pre-established and correspond to the industry types according to the user requirements.
The point of interest name recommendation method and apparatus according to an embodiment of the present invention are described below with reference to the drawings.
Fig. 1 is a flowchart illustrating a method for recommending a point of interest name according to an embodiment of the present invention.
As shown in fig. 1, the method for recommending a point of interest name includes the following steps:
Wherein, an interest point can be a house, a shop, a mailbox, a bus station, etc. And the interest points are classified, and each classification corresponds to the code and the name of the corresponding industry, so that the information acquisition can be conveniently recorded and distinguished. Therefore, in this embodiment, the user can input the industry type to which the target interest point belongs according to the actual application requirement, for example, the target interest point is a house, the industry belongs to the catering industry, and the like.
It should be noted that the user may select and input a part of the content included or not included in the name of the target interest point, the location of the target interest point, and the like.
And 102, determining the header special words of the target interest point name according to the industry type.
Specifically, after determining the industry type, the header verbs of the target point of interest name may be determined according to the industry type in a variety of ways. As an example, whether the user inputs an industry special word corresponding to the industry type is judged, and if the user inputs the industry special word, the head special word of the target interest point name is determined. For example, the user inputs an industry special word "hot pot" corresponding to the catering industry, so that the "hot pot" can be determined as a head special word of the target interest point name.
It should be noted that if it is known that the user does not input the industry special words, the industry special word set corresponding to the industry type is recommended to the user, the target special words selected by the user from the industry special word set are obtained, and the target special words are determined to be the header special words of the target interest point names. For example, the industry special word set corresponding to the industry type is recommended to the user as "hot pot", "barbecue", and the like, and the target special word selected by the user is obtained as "hot pot", so that the "hot pot" can be determined as the head special word of the target interest point name. Therefore, the user search requirement is further met, and the search convenience is improved.
And 103, recommending one or more candidate word sets to the user according to the pre-established industry associated word bank corresponding to the industry type and/or the industry hot word bank according to the user requirement.
Specifically, the existing interest point names of each industry can be segmented in advance through a segmentation algorithm or a model, and the occurrence frequency of each word and the association degree between two words in each industry are counted, so that an industry hot word library and an industry associated word library corresponding to each industry type can be established. As an example, as shown in fig. 2:
And step 203, establishing an industry hot word bank according to the occurrence frequency of the participles, and establishing an industry associated word bank according to the association degree among the participles.
That is to say, the words with more occurrences of the participles in all historical interest point names can be put into an industry hot word stock to indicate that the words are selected by most users and are one word which can better meet the search requirement, and an industry associated word stock can be established according to the association degree between the participles, for example, A and B almost simultaneously appear and are a group of words with close association, and the words can be put into the industry associated word stock and the like to further standardize the names of the interest points.
Therefore, one or more candidate word sets can be recommended to the user according to the pre-established industry associated word bank corresponding to the industry type and/or the industry hot word bank according to the user requirements. As a possible implementation manner, the head special words are matched with the industry associated word library, whether an associated candidate word set meeting preset association conditions exists is judged, if the associated candidate word set meeting the preset association conditions exists, the associated candidate word set is recommended to the user, and if the associated candidate word set meeting the preset association conditions does not exist, the popular candidate word set meeting the preset heat conditions is selected from the industry hot word library and recommended to the user.
And 104, acquiring target words selected by the user from the candidate word set recommended each time, and sequentially adding the target words to the back of the head special words.
And 105, generating the name of the target interest point according to the special words in the head and all the target word combinations in the back.
It is understood that the user may select one or more target words from the candidate word set one or more times as needed, and after the user selects the target words, the target words may be sequentially added to the back of the header special words, so as to generate the name of the target interest point according to the combination of the header special words and all the back target words.
The method for generating the name of the target interest point according to the combination of the header special word and all the following target words is various, for example, the 'header special word + all the following target words' is used as the name of the target interest point, and for example, the 'all the following target words + the header special word' and the like, and the name can be generated according to the actual application needs, so that the retrieval requirements of users are further facilitated.
The method for recommending the name of the interest point comprises the steps of obtaining an industry type to which a target interest point input by a user belongs, determining a head special word of the name of the target interest point according to the industry type, recommending one or more times of candidate word sets to the user according to the user requirement according to a pre-established industry associated word bank corresponding to the industry type and/or an industry hot word bank, obtaining target words selected by the user from the candidate word sets recommended each time, sequentially adding the target words to the back of the head special word, and finally generating the name of the target interest point according to the head special word and all the back target words. Therefore, more standard interest point names can be generated according to user requirements and combined with the pre-established industry associated word bank and the industry hot word bank corresponding to the industry types, the recognition degree of the interest point names is further improved, and the user retrieval is facilitated.
For clarity of the above embodiment, this embodiment provides a flow chart of a method for recommending a point of interest name,
fig. 3 is a flowchart illustrating a method for recommending a point of interest name according to a second embodiment of the present invention.
As shown in fig. 3, the method for recommending a point of interest name may include the following steps:
step 301, acquiring the industry type of the target interest point input by the user.
The user can select and input industries needing the named target interest points according to specific application requirements, so that the types of the industries to which the target interest points belong can be acquired, and it can be understood that the user autonomously determines the content of the input target interest points, namely selects a part of content to be included (not included), selectively inputs the position information of the target interest points, and the like, so that the actual retrieval requirements of different users are further met, and the user experience is improved.
Specifically, whether the user inputs an industry special word corresponding to the industry type is judged, and if the user inputs the industry special word, step 303 can be executed to directly determine that the industry special word is a header special word of the target interest point name; if the user does not enter an industry specific, step 307 is performed.
Specifically, in step 307, the location information of the target point of interest input by the user is obtained, and then step 308 is executed to generate the name end word of the target point of interest from the location information. That is, when it is determined that the user inputs the location information of the target interest point, simple location information may be generated at the end of the name of the target interest point as the end-of-name suffix of the target interest point.
It should be noted that, if the user does not input the location information of the target interest point, an industry special word set corresponding to the industry type may be recommended to the user, a target special word selected by the user from the industry special word set is obtained, and the target special word is determined as a head special word of the target interest point name.
Specifically, an industry associated word bank corresponding to the industry type may be established in step 309, and/or an industry hot word bank may be established and one or more candidate word sets may be recommended to the user according to the user requirement.
As a possible implementation manner, matching the special header words with an industry associated word library, and judging whether an associated candidate word set meeting preset association conditions exists or not; if the association candidate word set meeting the preset association condition exists, recommending the association candidate word set to the user; and if the fact that the associated candidate word set meeting the preset association condition does not exist is known, selecting the popular candidate word set meeting the preset popularity condition from the industry popular word library and recommending the popular candidate word set to the user.
It should be noted that, the method may further include obtaining a current target word selected by the user from the associated candidate word set or the popular candidate word set, learning that the user continues to select a next target word according to a user requirement, matching the current target word with the industry associated word library, determining whether there is an associated candidate word set meeting a preset association condition, recommending the associated candidate word set to the user if it is learned that there is an associated candidate word set meeting the preset association condition, and selecting the popular candidate word set meeting the preset popularity condition from the industry popular word library to recommend to the user if it is learned that there is no associated candidate word set meeting the preset association condition. Therefore, the matching accuracy is further improved, the name of the target interest point is more standard, and the retrieval requirement is met.
It can be understood that the user can select the target words needed to be added or remove the words not wanted to be included, thereby meeting the personalized retrieval requirements of the user.
And 305, acquiring a target word selected by the user from the candidate word set recommended each time, and sequentially adding the target word to the back of the head special word.
And step 306, generating the name of the target interest point according to the head special words and all the following target word combinations.
It is understood that the user may select one or more target words from the candidate word set one or more times as needed, and after the user selects the target words, the target words may be sequentially added to the back of the header special words, so as to generate the name of the target interest point according to the combination of the header special words and all the back target words.
The method for generating the name of the target interest point according to the combination of the header special word and all the following target words is various, for example, the 'header special word + all the following target words' is used as the name of the target interest point, and for example, the 'all the following target words + the header special word' and the like, and the name can be generated according to the actual application needs, so that the retrieval requirements of users are further facilitated.
The method for recommending the name of the interest point comprises the steps of obtaining an industry type to which a target interest point input by a user belongs, determining a head special word of the name of the target interest point according to the industry type, recommending one or more times of candidate word sets to the user according to the user requirement according to a pre-established industry associated word bank corresponding to the industry type and/or an industry hot word bank, obtaining target words selected by the user from the candidate word sets recommended each time, sequentially adding the target words to the back of the head special word, and finally generating the name of the target interest point according to the head special word and all the back target words. Therefore, more standard interest point names can be generated according to user requirements and combined with the pre-established industry associated word bank and the industry hot word bank corresponding to the industry types, the recognition degree of the interest point names is further improved, and the user retrieval is facilitated. In addition, the identification degree of the electronic map interest point name is improved.
In order to implement the above embodiment, the present invention further provides a device for recommending a name of a point of interest.
Fig. 4 is a schematic structural diagram of an interest point name recommendation apparatus according to an embodiment of the present invention.
As shown in fig. 4, the point of interest name recommending apparatus includes: an acquisition module 410, a determination module 420, a recommendation module 430, and an addition module 440.
The obtaining module 410 is configured to obtain an industry class to which the target interest point input by the user belongs.
The determining module 420 is configured to determine the header special words of the target point of interest name according to the industry type.
Specifically, the determining module 420 may determine whether the user inputs an industry special word corresponding to the industry type; and if the user is informed to input the industry special words, determining the head special words as the target interest point names.
Wherein, after judging whether the user inputs the industry special words corresponding to the industry types, the method further comprises the following steps: if the fact that the user does not input the industry special words is known, recommending an industry special word set corresponding to the industry type to the user; and acquiring target special words selected by a user from the industry special word set, and determining the target special words as header special words of the target interest point names.
And the recommending module 430 is configured to recommend one or more candidate word sets to the user according to a pre-established industry associated word bank corresponding to the industry type and/or an industry hot word bank according to the user requirement.
Specifically, the existing interest point names of each industry can be segmented in advance through a segmentation algorithm or a model, and the occurrence frequency of each word and the association degree between two words in each industry are counted, so that an industry hot word library and an industry associated word library corresponding to each industry type can be established.
As an example, a historical interest point name set corresponding to an industry type is obtained, the historical interest point name set is subjected to word segmentation, the occurrence frequency of segmented words and the association degree between the segmented words are calculated according to word segmentation results, an industry hot word library is established according to the occurrence frequency of the segmented words, and an industry associated word library is established according to the association degree between the segmented words.
Specifically, the recommending module 430 matches the special header words with an industry associated word library, and determines whether an associated candidate word set meeting preset association conditions exists; if the association candidate word set meeting the preset association condition exists, recommending the association candidate word set to the user; and if the fact that the associated candidate word set meeting the preset association condition does not exist is known, selecting the popular candidate word set meeting the preset popularity condition from the industry popular word library and recommending the popular candidate word set to the user.
The current target word selected by the user from the associated candidate word set or the popular candidate word set can be obtained; acquiring that the user continues to select the next target word according to the user requirement; matching the current target word with an industry associated word library, and judging whether an associated candidate word set meeting preset association conditions exists or not; if the association candidate word set meeting the preset association condition exists, recommending the association candidate word set to the user; and if the fact that the associated candidate word set meeting the preset association condition does not exist is known, selecting the popular candidate word set meeting the preset popularity condition from the industry popular word library and recommending the popular candidate word set to the user.
And the adding module 440 is used for acquiring a target word selected by the user from the candidate word set recommended each time, and sequentially adding the target word to the back of the head special word.
And the generating module 450 is configured to generate the name of the target interest point according to the specific word in the header and all the following target word combinations.
It should be noted that the position information of the target interest point input by the user may also be obtained; and generating the name tail words of the target interest points by using the position information. That is, when it is determined that the user inputs the location information of the target interest point, simple location information may be generated at the end of the name of the target interest point as the end-of-name suffix of the target interest point.
The interest point name recommending device provided by the embodiment of the invention recommends one or more candidate word sets to a user according to the user requirement by acquiring the industry type to which a target interest point input by the user belongs, determining the head special word of the target interest point name according to the industry type, then recommending the target word set selected by the user from the candidate word set recommended each time according to a pre-established industry associated word bank corresponding to the industry type and/or an industry hot word bank, sequentially adding the target word set to the back of the head special word, and finally generating the name of the target interest point according to the combination of the head special word and all the following target words. Therefore, more standard interest point names can be generated according to user requirements and combined with the pre-established industry associated word bank and the industry hot word bank corresponding to the industry types, the recognition degree of the interest point names is further improved, and the user retrieval is facilitated.
It should be noted that the explanation of the embodiment of the method for recommending an interest point name is also applicable to the apparatus for recommending an interest point name of the embodiment, and is not repeated here.
In order to implement the foregoing embodiment, the present invention further provides a computer device, including: a processor, and a memory for storing processor-executable instructions.
Wherein the processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to implement the point of interest name recommendation method proposed in the foregoing embodiment of the present invention.
In order to implement the above embodiments, the present invention also proposes a non-transitory computer-readable storage medium, in which instructions are executed by a processor, so that the processor can execute the point of interest name recommendation method proposed by the foregoing embodiments of the present invention.
In order to implement the foregoing embodiments, the present invention further provides a computer program product, wherein when instructions in the computer program product are executed by a processor, the computer program product executes the point of interest name recommendation method provided by the foregoing embodiments of the present invention.
FIG. 5 illustrates a block diagram of an exemplary computer device suitable for use in implementing embodiments of the present application. The computer device 12 shown in fig. 5 is only an example and should not bring any limitation to the function and scope of use of the embodiments of the present application.
As shown in FIG. 5, computer device 12 is in the form of a general purpose computing device. The components of computer 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.
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 perform the functions and/or methodologies of the embodiments described herein.
The computer 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 the computer system/server 12, and/or with any devices (e.g., network card, modem, etc.) that enable the computer system/server 12 to communicate with one or more other computing devices. Such communication may be through an input/output (I/O) interface 22. Moreover, computer device 12 may also 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 Network adapter 20. As shown, network adapter 20 communicates with the other modules of computer device 12 via bus 18. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with computer 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 the point of interest name recommendation method mentioned in the foregoing embodiments, by executing a program stored in the system memory 28.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (11)
1. A point of interest name recommendation method is characterized by comprising the following steps:
acquiring the industry type of a target interest point input by a user;
determining a header special word of the target interest point name according to the industry type;
recommending one or more candidate word sets to the user according to the user requirements according to a pre-established industry associated word bank corresponding to the industry type and/or an industry hot word bank;
acquiring target words selected by the user from the candidate word set recommended each time, and sequentially adding the target words to the back of the header special words;
and generating the name of the target interest point according to the header special words and all the following target word combinations.
2. The method of claim 1, further comprising:
acquiring a historical interest point name set corresponding to the industry type;
performing word segmentation processing on the historical interest point name set, and calculating word segmentation occurrence frequency and association degree between words according to word segmentation results;
and establishing the industry hot word bank according to the occurrence frequency of the participles, and establishing the industry associated word bank according to the association degree among the participles.
3. The method of claim 1, wherein said determining a header special for the target point of interest name based on the industry type comprises:
judging whether the user inputs an industry special word corresponding to the industry type;
and if the user is informed to input the industry special words, determining the industry special words as the header special words of the target interest point name.
4. The method of claim 3, wherein after said determining whether the user enters an industry specific word corresponding to the industry type, further comprising:
if the fact that the industry special words are not input by the user is known, recommending an industry special word set corresponding to the industry type to the user;
and acquiring the target special words selected by the user from the industry special word set, and determining the target special words as the header special words of the target interest point names.
5. The method of claim 1, wherein recommending one or more candidate word sets to a user according to a pre-established industry associated thesaurus corresponding to the industry type and/or an industry hot thesaurus according to a user requirement comprises:
matching the special header words with the industry associated word library, and judging whether an associated candidate word set meeting preset association conditions exists or not;
if the association candidate word set meeting the preset association condition exists, recommending the association candidate word set to the user;
and if the fact that the association candidate word set meeting the preset association condition does not exist is known, selecting a popular candidate word set meeting the preset popularity condition from the industry popular word library and recommending the popular candidate word set to the user.
6. The method of claim 5, further comprising:
acquiring a current target word selected by the user from the associated candidate word set or the popular candidate word set;
acquiring that the user continues to select the next target word according to the user requirement;
matching the current target word with the industry associated word library, and judging whether an associated candidate word set meeting preset association conditions exists or not;
if the association candidate word set meeting the preset association condition exists, recommending the association candidate word set to the user;
and if the fact that the association candidate word set meeting the preset association condition does not exist is known, selecting a popular candidate word set meeting the preset popularity condition from the industry popular word library and recommending the popular candidate word set to the user.
7. The method of any of claims 1-6, further comprising:
acquiring the position information of the target interest point input by a user;
and generating the name end word of the target interest point by using the position information.
8. An apparatus for recommending a point of interest name, the apparatus comprising:
the acquisition module is used for acquiring the industry type of the target interest point input by the user;
the determining module is used for determining the header special words of the target interest point names according to the industry types;
the recommendation module is used for recommending one or more candidate word sets to the user according to a pre-established industry associated word bank corresponding to the industry type and/or an industry hot word bank according to the user requirement;
the adding module is used for acquiring target words selected by the user from the candidate word set recommended each time and sequentially adding the target words to the back of the header special words;
and the generating module is used for generating the name of the target interest point according to the combination of the header special words and all the following target words.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the point of interest name recommendation method according to any one of claims 1-7 when executing the program.
10. A non-transitory computer-readable storage medium having stored thereon a computer program, wherein the program, when executed by a processor, implements the point of interest name recommendation method according to any one of claims 1-7.
11. A computer program product, characterized in that instructions in the computer program product, when executed by a processor, perform the point of interest name recommendation method according to any of claims 1-7.
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