CN106227876B - Activity arrangement aided decision-making method and device - Google Patents
Activity arrangement aided decision-making method and device Download PDFInfo
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Abstract
The invention discloses an activity arrangement assistant decision-making method and a device, wherein the method comprises the following steps: acquiring query information of natural semantics input by a user; performing semantic analysis on the query information to obtain a query label; searching a preset label matched with the query label in a database, and returning a query result associated with the preset label, wherein the query result comprises at least one of the name, type, position, entrance ticket information, score and distance information of the scenic spot, and the query label and the preset label comprise at least one of the scene label, the type label, the position label and the price label of the scenic spot. According to the scheme, the query result meeting the user requirements can be directly fed back to the user, so that the query efficiency of the user is improved, and great convenience is provided for the final decision of the user.
Description
Technical Field
The embodiment of the invention relates to computer technology, in particular to an activity arrangement assistant decision method and device.
Background
With the development of science and technology and economy, the current living standard of people is greatly improved. More users have new needs for the arrangement of entertainment activities.
The activity arrangement generally comprises a scenic spot playing function and an activity playing function, if a user needs to find a scenic spot suitable for stepping spring, the user can find the scenic spot through a search platform or an APP, however, the existing search platform or the APP cannot deeply dig the user's requirement and feed back the information needed by the user, most of the information is fed back to some tickets sold products or scenic spots of the user, and the like, so that the user can hardly find the query result meeting the self requirement through the existing search platform or the APP.
Disclosure of Invention
The invention provides an activity arrangement assistant decision method and device, which can directly feed back the query result meeting the user requirements to the user, improve the query efficiency of the user and provide great convenience for the final decision of the user.
In a first aspect, an embodiment of the present invention provides an activity arrangement aid decision method, including:
acquiring query information of natural semantics input by a user;
performing semantic analysis on the query information to obtain a query label;
searching a preset label matched with the query label in a database, and returning a query result associated with the preset label, wherein the query result comprises at least one of the name, type, position, entrance ticket information, score and distance information of the scenic spot, and the query label and the preset label comprise at least one of the scene label, the type label, the position label and the price label of the scenic spot.
In a second aspect, an embodiment of the present invention further provides an activity arrangement assistant decision apparatus, including:
the query information acquisition module is used for acquiring query information of natural semantics input by a user;
the query tag determining module is used for performing semantic analysis on the query information to obtain a query tag;
and the query result determining module is used for searching a preset tag matched with the query tag in a database and returning a query result associated with the preset tag, wherein the query result comprises at least one of the name, the type, the position, the entrance ticket information, the score and the distance information of the scenic spot, and the query tag and the preset tag comprise at least one of the scene tag, the type tag, the position tag and the price tag of the scenic spot.
According to the method and the device, query information of natural semantics input by a user is acquired, semantic analysis is performed on the query information to obtain the query tag, the preset tag matched with the query tag is searched in the database, and the query result associated with the preset tag is returned, so that the problem that the user is difficult to find the query result meeting the self requirement through the existing search engine or APP is solved, the query result meeting the requirement of the user can be directly fed back to the user, the query efficiency of the user is improved, and great convenience is provided for the final decision of the user.
Drawings
FIG. 1 is a flow chart of a method for assisting a decision-making of an activity schedule according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an interface for obtaining query results by using an activity scheduling aid decision method according to an embodiment of the present invention;
FIG. 3 is a flowchart of an activity scheduling aid decision method according to a second embodiment of the present invention;
fig. 4 is a schematic interface diagram of a query result obtained by using an activity arrangement aided decision method according to a second embodiment of the present invention;
FIG. 5 is a flowchart of an activity scheduling aid decision method according to a third embodiment of the present invention;
fig. 6 is a schematic interface diagram of a pop-up guidance option after a query result is obtained by using an activity arrangement aided decision method according to a third embodiment of the present invention;
FIG. 7 is a schematic diagram of an interface for performing a second round of queries according to a guiding option according to a third embodiment of the present invention;
FIG. 8 is a flowchart of an activity scheduling aid decision method according to a fourth embodiment of the present invention;
fig. 9 is a schematic view of an interface for returning recommendation information to a user by using an activity scheduling aid decision method according to a fourth embodiment of the present invention;
fig. 10 is a block diagram of an activity arrangement aid decision 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 of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of an activity arrangement aid decision method according to an embodiment of the present invention, where this embodiment is applicable to a situation where a user performs activity arrangement by searching for scenic spots and entertainment activities, and the method may be executed by a computing device such as a smartphone, a tablet computer, or a notebook computer, and specifically includes the following steps:
s101, acquiring query information of natural semantics input by a user.
The user can input query information according to the self requirement to search the desired information content, and the general situation is as follows: the user can input the name of the sight spot to search for the detailed information of a certain sight spot through a Baidu search engine, and then the link of search feedback is opened to obtain the desired content.
Unlike the foregoing, the query information of natural semantics input by the user is acquired in this step, and the user may input "which day of the week goes to enjoy the spring flower" or "which day of the week goes to play", for example. Specifically, the query information may be text information entered by a user through a keyboard, or may also be voice information input by the user, and when it is detected that the user inputs the voice type query information, the voice information may be automatically converted into the text type query information.
S102, performing semantic analysis on the query information to obtain a query label.
In this step, semantic analysis is performed on the query information acquired in S101 to obtain a query tag. For example, when the user wants to find a desired attraction, the query tag may be at least one of a scene tag, a type tag, a location tag, and a price tag of the attraction. Illustratively, when the user inputs "go to which flower to take on spring and reward flower" on weekend, the scene label obtained by performing semantic analysis on "go to which flower to take on spring and reward flower" on weekend is "spring and reward flower".
For example, in the semantic analysis process, the query information can be decomposed into three elements of the domain, the intention and the slot of the query, and different analysis methods are adopted for three different element types. Wherein, the field has fixed a scope of the demand, intends to fix a type of the demand, and the slot position is used for accurate positioning of the demand.
Specifically, when analyzing the field, a preset classification model can be adopted to classify the query information input by the user; when analyzing the intention and the slot position, a plurality of means such as knowledge base reasoning, template matching, sequence marking and the like can be adopted for comprehensive analysis.
S103, searching a preset label matched with the query label in a database, and returning a query result associated with the preset label.
The preset label comprises at least one of a scene label, a type label, a position label and a price label of the scenic spot. For example, the query tag determined in S102 is "pedal spring", and accordingly, in this step, a preset tag of "pedal spring" is searched in the database, and a query result associated with the preset tag is fed back to the user. Illustratively, the query result includes at least one of a name, a type, a location, ticket information, a score, and distance information of the attraction. Fig. 2 is an interface schematic diagram of a query result obtained by using an activity arrangement aided decision method according to an embodiment of the present invention, as shown in the figure, a user inputs "which pedal spring appreciation flower at the weekend", and the obtained query result includes "beijing plantain", "yuhoutan", and "phoenix ridge", where score, comment number, and distance information are marked in each scenic spot.
According to the technical scheme, semantic analysis can be performed on the natural semantic query information input by the user to obtain the query tag, the preset tag matched with the query tag is searched in the database, the query result meeting the user requirement is directly fed back to the user, the query efficiency of the user is improved, and great convenience is provided for the final decision of the user.
On the basis of the above technical solution, before searching for the preset tag matching the query tag in the database, the method further includes: the method comprises the steps of obtaining comment information and/or search data of a user, and conducting semantic analysis on the comment information and/or the search data to determine a preset label. In this step, the preset tag is determined by the acquired massive comment information of each sight spot and/or the search data of the user, and exemplarily, when the acquired comments in a certain sight spot mention "zhuchun" many times, the "zhuchun" is determined as the preset tag, and the sight spot is associated with the tag of "zhuchun". Specifically, the determination manner of the preset tag may be: extracting a set of candidate tags with complete semantic meanings (such as 'being suitable for playing with children') from comment information and/or search data based on part of speech and syntactic dependencies; and marking positive and negative examples of the availability of the candidate labels, extracting Chinese language model characteristics according to the language environment of the candidate labels, and predicting whether the candidate labels are available or not based on a random forest model, wherein the candidate labels are available, for example, the candidate labels are suitable for playing with children, are completely expressed in terms of semantemes and can be used as preset labels, and the candidate labels are not suitable for being used as preset labels, and the suitable groups are incomplete expressed in terms of semantemes. In the association process of the preset tag and the scenery spot, the multi-mode matching algorithm can be used for finding the occurrence frequency of the preset tag from the comment information and/or the search data of the scenery spot, the confidence degree of the association between the preset tag and the scenery spot is improved through frequency control, and the association between the preset tag and the scenery spot is finally determined. According to the scheme, the preset tags can be determined from the comment information obtained from the whole scene spot information and/or the search data used by the user during searching, the preset tags are associated with the scene spots, the scene spot information associated with the preset tags corresponding to the query tags determined from the query information input by the user is directly fed back to the user, and the activity arrangement requirements of the user in different scenes are met.
On the basis of the technical scheme, searching a preset tag matched with the query tag in a database comprises the following steps: determining a query field according to the query information; and searching a preset label matched with the query label in a database in the query field. In the step, the query field corresponding to the query information is determined, and the query tag is matched with the preset tag in the query field, so that the query efficiency is improved, and the condition that the query result fed back to the user is irrelevant to the self requirement of the user is avoided.
Example two
Fig. 3 is a flowchart of an activity arrangement aid decision method provided in the second embodiment of the present invention, where this embodiment introduces a location information parameter of a user when returning a query result on the basis of the first embodiment, and specifically includes the following steps:
s201, acquiring query information of natural semantics input by a user.
S202, performing semantic analysis on the query information to obtain a query label.
S203, searching a preset label matched with the query label in a database, acquiring the position input by the user, and returning a query result associated with the preset label according to the position input by the user.
Specifically, if the user inputs a "museum worth of beijing", and the position of the obtained scenic spot or activity queried by the user is beijing, the query result associated with the preset tag conforming to the "museum" near beijing is preferentially returned to the user, optionally, the query result returned to the user integrates the rating condition of the scenic spot, that is, the higher the rating of the scenic spot is, the higher the probability that the scenic spot is returned as the query result is.
Fig. 4 is a schematic view of an interface for obtaining a query result by using an activity arrangement assistant decision method according to a second embodiment of the present invention, as shown in fig. 4, a user inputs "museum worth beijing", and at this time, the returned query results are "national museum", "military museum", and "capital museum".
According to the technical scheme, the position input by the user is obtained, the query result associated with the preset label is returned according to the position input by the user, so that the user can find the scenic spots meeting the requirements of the user more easily, the situation that the user needs to find the scenic spots in the desired places one by one in a plurality of scenic spots is avoided, and the searching efficiency is improved.
On the basis of the above technical solution, in step S203, a preset tag matched with the query tag may also be searched for in a database, the current location of the user is obtained, and a query result associated with the preset tag is returned according to the current location of the user. In this step, when the user inputs the query information, the user does not input the location information in many cases, such as "go to where to pedal spring and reward flowers on weekends", which does not explicitly indicate the location of the requested scenic spot. In this step, after the preset tag matched with the query tag is searched in the database, the current location of the user is further obtained, and illustratively, the current location of the user can be obtained through the opened location module to obtain the accurate location of the user. Illustratively, the query result closest to the current location of the user is preferentially fed back to the user.
EXAMPLE III
Fig. 5 is a flowchart of an activity arrangement assistant decision method provided by a third embodiment of the present invention, where this embodiment provides a method for further assisting a user decision based on the foregoing embodiments, and specifically includes the following steps:
s301, acquiring query information of natural semantics input by a user.
S302, performing semantic analysis on the query information to obtain a query label.
S303, searching a preset label matched with the query label in a database, and returning a query result associated with the preset label.
S304, popping up guide options for the user to click, and returning a next round of query results according to the click content or input information of the user.
Fig. 6 is an interface schematic diagram of a pop-up guiding option after obtaining a query result by using an activity arrangement aid decision method according to a third embodiment of the present invention, as shown in the figure, after returning a query result for a user ("national museum", "military museum" and "capital museum"), a "special museum in beijing", "museum in beijing suitable for children", "history museum in beijing good and a" change one batch "guiding option are popped up at the bottom, and the user may perform corresponding click-selection or input new query information according to the user's own needs to perform the next round of accurate query.
Fig. 7 is an interface schematic diagram of performing the second round of query according to the guide option provided by the third embodiment of the present invention, as shown in the figure, the user inputs query information of "a museum suitable for children in beijing" according to the popped-up guide option, at this time, the given query result is "a natural museum in beijing", and the score, the number of comments, the opening time and the address of the sight spot are given to facilitate the user to go to.
According to the technical scheme, the user can click through the pop-up guide option, the next round of query results are returned according to the click contents or the input information of the user, and the query contents of the user are guided, so that the user can find the query results meeting the requirements of the user at the first time.
Example four
Fig. 8 is a flowchart of an activity arrangement aid decision method provided by the fourth embodiment of the present invention, and this embodiment provides a method for further assisting a user in querying based on the foregoing embodiments, which specifically includes the following steps:
s401, acquiring query information of natural semantics input by a user.
S402, performing semantic analysis on the query information to obtain a query label.
S403, searching a preset label matched with the query label in a database, and returning a query result associated with the preset label.
And S404, returning recommendation information for the user to select.
Fig. 9 is a schematic diagram of an interface for returning recommended information to a user by using an activity arrangement aid decision method according to a fourth embodiment of the present invention, where as shown in the figure, when a user inputs "a children play suitable for viewing with children", the recommended information given includes "a large multimedia fantasy interactive children play", and "a large multimedia inspirational interactive children play". In the step, the scenic spots and activities are classified through big data mining, recommendation information is given according to the query information of the user to assist the user in deciding activity arrangement, and when the user does not have the purpose of explicit query, the user can conveniently find the activities meeting the requirements of the user according to the recommendation information.
EXAMPLE five
Fig. 10 is a block diagram of an activity arrangement aid decision device according to a fifth embodiment of the present invention, which specifically includes:
the query information acquisition module 1 is used for acquiring query information of natural semantics input by a user;
the query tag determining module 2 is used for performing semantic analysis on the query information to obtain a query tag;
and the query result determining module 3 is configured to search a database for a preset tag matched with the query tag, and return a query result associated with the preset tag, where the query result includes at least one of a name, a type, a location, ticket information, a score, and distance information of the scenery spot, and the query tag and the preset tag include at least one of a scene tag, a type tag, a location tag, and a price tag of the scenery spot.
According to the technical scheme, semantic analysis can be performed on the natural semantic query information input by the user to obtain the query tag, the preset tag matched with the query tag is searched in the database, the query result meeting the user requirement is directly fed back to the user, the query efficiency of the user is improved, and great convenience is provided for the final decision of the user.
On the basis of the technical scheme, the method further comprises the following steps:
the preset tag determining module is used for acquiring comment information and/or search data of a user and performing semantic analysis on the comment information and/or the search data to determine a preset tag.
On the basis of the above technical solution, the query result determining module 3 is specifically configured to:
determining a query field according to the query information;
and searching a preset label matched with the query label in a database in the query field.
On the basis of the above technical solution, the query result determining module 3 is specifically configured to:
acquiring the current position of the user, and returning a query result associated with the preset tag according to the current position of the user; or
And acquiring the position input by the user, and returning a query result associated with the preset label according to the position input by the user.
On the basis of the technical scheme, the method further comprises the following steps:
and the guiding module is used for popping up guiding options for the user to click, and returning a next round of query results according to the click content or input information of the user.
On the basis of the technical scheme, the method further comprises the following steps:
and the guiding module is used for returning the recommendation information selected by the user.
The product can execute the method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
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 (10)
1. An activity arrangement aid decision method, which is applied to the scene of activity arrangement by finding scenic spots and entertainment activities, and comprises the following steps:
acquiring query information of natural semantics input by a user, wherein the query information does not include the name of a scenic spot;
performing semantic analysis on the query information to obtain a query label;
searching a preset label matched with the query label in a database, and returning a query result associated with the preset label, wherein the query result comprises at least one of the name, type, position, entrance ticket information, score and distance information of the scenic spot, the query label and the preset label comprise at least one of a scene label, a type label, a position label and a price label of the scenic spot, and the preset label is associated with the scenic spot;
before searching for a preset tag matched with the query tag in a database, the method further comprises the following steps:
in the association process of a preset tag and the scenic spot, determining that the preset tag is associated with the scenic spot based on comment information and/or search data of the scenic spot;
determining that the preset tag is associated with the sight spot based on the comment information and/or search data of the sight spot, including:
obtaining comment information of each scenic spot and/or search data of a user, extracting a set of candidate tags with complete semanteme from the comment information and/or the search data based on part of speech and syntactic dependency, labeling positive and negative examples of the availability of the candidate tags, extracting Chinese language model features according to the language environment of the candidate tags, predicting whether the candidate tags are available, and screening the available candidate tags as preset tags;
in the association process of the preset tag and the scenery spot, finding the occurrence frequency of the preset tag from the comment information and/or search data of the scenery spot, improving the confidence degree of association between the preset tag and the scenery spot through frequency control, and finally determining to associate the preset tag with the scenery spot.
2. The method of claim 1, wherein searching a database for a predetermined tag matching the query tag comprises:
determining a query field according to the query information;
and searching a preset label matched with the query label in a database in the query field.
3. The method of claim 1, wherein returning the query result associated with the preset tag comprises:
acquiring the current position of the user, and returning a query result associated with the preset tag according to the current position of the user; or
And acquiring the position input by the user, and returning a query result associated with the preset label according to the position input by the user.
4. The method according to any one of claims 1-3, further comprising, after returning a query result associated with the preset tag:
and popping up a guide option for the user to click, and returning a next round of query results according to the click content or the input information of the user.
5. The method of claim 4, further comprising, after returning a query result associated with the preset tag:
and returning the recommendation information for the user to select.
6. An activity arrangement aid decision-making device, applied in the scene of activity arrangement by finding scenic spots and entertainment activities, comprising:
the query information acquisition module is used for acquiring query information of natural semantics input by a user, wherein the query information does not include the name of the scenic spot;
the query tag determining module is used for performing semantic analysis on the query information to obtain a query tag;
the query result determining module is used for searching a preset tag matched with the query tag in a database and returning a query result associated with the preset tag, wherein the query result comprises at least one of the name, the type, the position, the entrance ticket information, the score and the distance information of the scenery spot, the query tag and the preset tag comprise at least one of the scene tag, the type tag, the position tag and the price tag of the scenery spot, and the preset tag is associated with the scenery spot;
the system comprises a preset tag and scenery spot association module, a scene spot identification module and a scene spot identification module, wherein the preset tag and scenery spot association module is used for determining that the preset tag is associated with a scenery spot based on comment information and/or search data of the scenery spot in the association process of the preset tag and the scenery spot;
determining that the preset tag is associated with the sight spot based on the comment information and/or search data of the sight spot, including:
obtaining comment information of each scenic spot and/or search data of a user, extracting a set of candidate tags with complete semanteme from the comment information and/or the search data based on part of speech and syntactic dependency, labeling positive and negative examples of the availability of the candidate tags, extracting Chinese language model features according to the language environment of the candidate tags, predicting whether the candidate tags are available, and screening the available candidate tags as preset tags;
in the association process of the preset tag and the scenery spot, finding the occurrence frequency of the preset tag from the comment information and/or search data of the scenery spot, improving the confidence degree of association between the preset tag and the scenery spot through frequency control, and finally determining to associate the preset tag with the scenery spot.
7. The apparatus of claim 6, wherein the query result determination module is specifically configured to:
determining a query field according to the query information;
and searching a preset label matched with the query label in a database in the query field.
8. The apparatus of claim 6, wherein the query result determination module is specifically configured to:
acquiring the current position of the user, and returning a query result associated with the preset tag according to the current position of the user; or
And acquiring the position input by the user, and returning a query result associated with the preset label according to the position input by the user.
9. The apparatus of any of claims 6-8, further comprising:
and the guiding module is used for popping up guiding options for the user to click and returning a next round of query results according to the click content or the input information of the user.
10. The apparatus of claim 9, further comprising:
and the guiding module is used for returning the recommendation information selected by the user.
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| CN103049481A (en) * | 2012-11-29 | 2013-04-17 | 百度在线网络技术（北京）有限公司 | Searching method and searching device |
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