CN112084401A - Tour route customizing device and method - Google Patents
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Abstract
The invention provides a tour route customizing device and method, wherein the device comprises: the system comprises an information acquisition module, a keyword processing module, a scenic spot score analysis module and a route customization model construction module; the information acquisition module is used for acquiring user search information from a preset user search interface; the keyword processing module is used for processing keywords of the user search information to obtain keyword information; the scenic spot score analysis module is used for analyzing the scenic spot scores of the keyword information according to a preset tourist information knowledge base to obtain a plurality of scenic spot score information; the route customization model building module is used for building and processing the model of the score information of the plurality of scenic spots to obtain a travel route customization model. The invention solves the problem of low personalized degree of recommending the tour route for the user in the prior tour field, realizes self-service tour service of the user, effectively integrates tour resources, realizes personalized customization of the tour route, and improves the tour experience of the user.
Description
Technical Field
The invention mainly relates to the technical field of intelligent tourism, in particular to a tourism route customizing device and method.
Background
With the development of intelligent tourism technology, tourism management means, thinking and ways are revolutionarily changed, and the past quantitative tourism way is changed into a qualitative tourism way, wherein the customization method of the tourism line is becoming the key content of research of domestic and foreign scholars and enterprises.
The method comprises the steps that social media, scenic spot comment data, GPS positioning data and the like provide data support for tourism route customization, at present, the existing tourism route customization method generally recommends a tourism route for a user based on practical conditions such as tourism resources, scenic spot popularity, traffic facilities and infrastructure, and although a certain effect is achieved, the recommendation method lacks uniform analysis on user requirements and relevant factors thereof, and cannot reflect the user requirements to the maximum extent.
Disclosure of Invention
The invention aims to solve the technical problem of the prior art and provides a tour route customizing device and method.
The technical scheme for solving the technical problems is as follows: a travel route customization apparatus comprising:
the system comprises an information acquisition module, a keyword processing module, a scenic spot score analysis module and a route customization model construction module;
the information acquisition module is used for acquiring user search information from a preset user search interface;
the keyword processing module is used for performing keyword processing on the user search information to obtain keyword information;
the scenic spot score analysis module is used for carrying out scenic spot score analysis on the keyword information according to a preset tourist information knowledge base to obtain a plurality of scenic spot score information;
and the route customization model building module is used for carrying out model building processing on the plurality of scenic spot scoring information to obtain a travel route customization model.
Another technical solution of the present invention for solving the above technical problems is as follows: a travel route customizing method comprises the following steps:
obtaining user search information from a preset user search interface;
performing keyword processing on the user search information to obtain keyword information;
performing scenic spot grading analysis on the keyword information according to a preset tourism information knowledge base to obtain a plurality of scenic spot grading information;
and carrying out model construction processing on the plurality of scenic spot scoring information to obtain a travel route customization model.
The invention has the beneficial effects that: the method comprises the steps of obtaining user search information from a preset user search interface, processing keywords of the user search information to obtain keyword information, analyzing scenic spot scores of the keyword information according to a preset tourism information knowledge base to obtain a plurality of scenic spot score information, not only avoiding that recommended scenic spots are only scenic spots with higher popularity, but also recommending the most suitable playing time of the scenic spots to a user, and constructing and processing a model of the scenic spot score information to obtain a tourism route customization model.
Drawings
FIG. 1 is a block diagram of a travel route customization apparatus according to an embodiment of the present invention;
FIG. 2 is a flow chart illustrating a method for customizing a travel route according to an embodiment of the present invention.
Detailed Description
The principles and features of this invention are described below in conjunction with the following drawings, which are set forth by way of illustration only and are not intended to limit the scope of the invention.
FIG. 1 is a block diagram of a travel route customization apparatus according to an embodiment of the present invention.
As shown in fig. 1, a travel route customizing apparatus includes:
the system comprises an information acquisition module, a keyword processing module, a scenic spot score analysis module and a route customization model construction module;
the information acquisition module is used for acquiring user search information from a preset user search interface;
the keyword processing module is used for performing keyword processing on the user search information to obtain keyword information;
the scenic spot score analysis module is used for carrying out scenic spot score analysis on the keyword information according to a preset tourist information knowledge base to obtain a plurality of scenic spot score information;
and the route customization model building module is used for carrying out model building processing on the plurality of scenic spot scoring information to obtain a travel route customization model.
It should be understood that the preset user search interface provides navigation and natural language 2 service modes, and is responsible for receiving a search request of a user, and comprises user travel time, travel starting point and destination, number of people traveling and personal interest preference.
In the embodiment, the user search information is obtained from the preset user search interface, the keyword of the user search information is processed to obtain the keyword information, the scenery spot grading analysis of the keyword information is carried out according to the preset tourism information knowledge base to obtain the grading information of a plurality of scenery spots, the condition that the recommended scenery spots are only scenery spots with higher popularity is avoided, the most suitable playing time of the scenery spots is recommended to the user, the model of the grading information of the plurality of scenery spots is constructed and processed to obtain the tourism route customization model, the problem that the degree of individuation of the recommended tourism route for the user in the existing tourism field is low is solved, the self-service tourism service of the user is realized, the tourism resources are effectively integrated, meanwhile, the individuation customization of the tourism route is realized, and the travel experience of.
Optionally, as an embodiment of the present invention, the keyword processing module is specifically configured to:
performing word segmentation processing on the user search information based on an ICTS 2015 word segmentation system to obtain word segmentation information, performing part-of-speech tagging processing on the word segmentation information to obtain part-of-speech tagging information, and performing keyword extraction processing on the part-of-speech tagging information to obtain keyword information.
It should be understood that the ICTCLAS2015 participle system is developed by the doctor zhanghuaping, a chinese academy, and the main functions of the ict includes chinese participle; english word segmentation; part of speech tagging; named entity recognition; recognizing new words; extracting key words; and the analysis of a user professional dictionary and a microblog is supported.
It should be understood that, when performing part-of-speech tagging and keyword processing, nouns and verbs in the user search information are primarily tagged as delivery keywords according to the syntactic analysis of chinese lexical analysis.
In the embodiment, word segmentation processing is performed on the user search information based on the ICT CLAS2015 word segmentation system to obtain word segmentation information, part-of-speech tagging processing is performed on the word segmentation information to obtain part-of-speech tagging information, and keyword information is obtained by extracting and processing keywords of the part-of-speech tagging information.
Optionally, as an embodiment of the present invention, the scenery spot score analysis module includes an information search unit, a popularity score calculation unit, a user play time score calculation unit, a scenery spot play time score calculation unit, and a scenery spot score calculation unit;
the information searching unit is used for searching the keyword information in a preset tourism information knowledge base to obtain a plurality of pieces of user demand tourism information matched with the keyword information, and each piece of user demand tourism information comprises the number of scenic spot photos shared by a user, the number of users who arrive at a scenic spot, a user tourism route, the ending time of scenic spot playing of the user, the starting time of scenic spot playing of the user, the type attribute of the scenic spot, the closing time of the scenic spot and the opening time of the scenic spot;
the popularity score calculating unit is used for sequentially carrying out popular degree score processing on the number of the scenery spot sharing photos of the users and the number of the scenery spot passing users corresponding to the users to obtain a plurality of popularity scores;
the user playing time scoring calculation unit is used for sequentially scoring the user playing time of the plurality of user travel routes, the plurality of corresponding user playing scene spot ending times, the plurality of corresponding user playing scene spot starting times and the plurality of corresponding scene spot type attributes to obtain a plurality of user playing time scores;
the scenery spot playing time scoring calculation unit is used for sequentially scoring the scenery spot playing time for the plurality of scenery spot closing times and the plurality of corresponding scenery spot opening times to obtain a plurality of scenery spot playing time scores;
and the scenery spot score calculating unit is used for sequentially carrying out score processing of scenery spot comprehensive evaluation on the plurality of popularity scores, the plurality of corresponding user play time scores and the plurality of corresponding scenery spot play time scores to obtain a plurality of scenery spot score information.
It should be understood that through the extraction result of the keyword information, a scenery spot scoring mechanism comprehensively considering the scenery popularity, the user personalized favor and the scenery playing time is established to score the scenery, so that a plurality of scenery with the highest score is recommended to the user.
It should be understood that the preset tourist information knowledge base establishes a tourist attraction knowledge base and a tourist route knowledge base by crawling tourist attraction data and tourist route data of a known tourist website, the tourist attraction knowledge base organizes and manages tourist attraction information, user personal information, user comment information, tourist route information, hotel information and shopping mall information, the tourist route knowledge base organizes and manages customized tourist routes, and the tourist data is effectively stored and logically inquired by constructing the tourist attraction knowledge base and the tourist route knowledge base, so that the aims of sharing the tourist information among modules and integrating tourist resources are fulfilled.
Specifically, a scenic spot knowledge map is constructed, concept entities in the data set are extracted to serve as scenic spot entity nodes in the knowledge map, and scenic spot attribute information serves as attribute information of scenic spot entities. In the sight spot attribute information, the type attribute of the sight spot does not have structured classification hierarchical information, so in order to obtain the detailed type characteristics of the sight spot entities, the sight spot entities are mapped to a network where the sight spot entities are located through owl: sameAs attributes to obtain the detailed type information of the sight spot entities, and the type and the hierarchical information of the sight spot are obtained. And storing data by using the graph structure, establishing a tourist attraction database and forming a tourist attraction knowledge map framework.
Specifically, the travel data is acquired from the local network, and the preset travel information knowledge base is established. The tourism data is obtained from the local network, the data is preprocessed, and a finally obtained data set comprises 13275 pictures shared by 338 users for 136 scenic spots, longitude and latitude coordinates of the scenic spots, photo shooting time, per-capita cost, playing time, scenic spot types, comment information with user emotion and the like. And constructing a tourism knowledge map according to the tourism data, wherein the tourism knowledge map comprises two parts, namely a scenic spot knowledge map and a route knowledge map.
In the embodiment, the tourism information required by a plurality of users is obtained by searching the keyword information through the preset tourism information knowledge base, effective organization and logic query of the tourism resource information are realized by constructing the tourism knowledge map, a foundation is laid for deep understanding of semantic association between the tourism scene and the tourism route, and scoring processing of the tourism information required by the users is carried out to obtain scoring information of the scenic spots, so that the situation that the recommended scenic spots are only scenic spots with higher popularity is avoided, the most appropriate playing time of the scenic spots can be recommended to the users, personalized customization of the tourism route is realized, and the tourism experience of the users is improved.
Optionally, as an embodiment of the present invention, the popularity score calculating unit is specifically configured to:
sequentially carrying out popular degree scoring processing on the number of the user sharing scenery spot photos and the number of the corresponding scenery passing users through a first type to obtain a plurality of popularity scores, wherein the first type is as follows:
wherein the content of the first and second substances,
sharing sights S for user uiNumber of photographs, UuTo go through the scenic spot SiThe set of users of (a) is,
is a scenery spot SiAnd (4) scoring the popularity.
Specifically, the popularity score is related to the number of photos about the scenic spot Si uploaded by the user, and the number of the photos uploaded by the scenic spot user can reflect the popularity of the scenic spot to a certain extent.
In the embodiment, the popularity scores are obtained by sequentially scoring the popular degree of the number of the scenery spot sharing photos of the plurality of users and the number of the corresponding scenery spot going users in a first type, data are objectively and accurately obtained, subjective human influence is reduced, the recommended scenery spots are only scenery spots with higher popularity, the most appropriate playing time of the scenery spots can be recommended to the users, personalized customization of the tour routes is realized, and the travel experience of the users is improved.
Optionally, as an embodiment of the present invention, the user play time score calculating unit is specifically configured to:
the scoring processing of the user playing time is sequentially carried out on the plurality of user tour routes, the plurality of corresponding user playing scene spot ending times, the plurality of corresponding user playing scene spot starting times and the plurality of corresponding scene spot type attributes through a second formula, so that a plurality of user playing time scores are obtained, wherein the second formula is as follows:
wherein the content of the first and second substances,
wherein the content of the first and second substances,
wherein, tripuIn order for the user to travel the route sequence,
playing scenic spots S for a userxThe time of the end is the time of day,
playing scenic spots S for a userxThe time of the start is set to be,
is a scenery spot SxA type attribute, v (u, c) scores for user play time,
is a scenery spot SiAverage playing time, n is the scene of passing SiThe number of users, U, is the set of all users.
Specifically, different users all have preferred scenic spot types, the playing time of the scenic spots preferred by the users is relatively longer, and the playing time of the scenic spots uninteresting by the users is relatively shorter, so that the scenic spots S are setiHas an average playing time of
The calculation formula is as follows:
wherein n is the scene of going through SiNumber of users, tripuFor a sequence of travel routes for the user, U is the set of all users,
playing scenic spots S for a userxThe time of the end is the time of day,
playing scenic spots S for a userxThe time of the start is set to be,
the personal preferences v (u, c) of a guest for a certain type of attraction are derived from the average playing time of the attraction by the formula:
wherein the content of the first and second substances,
indicating a sight SxThe type of the data packet,
in the above embodiment, the scoring of the user play time of the plurality of user travel routes, the plurality of corresponding user play scene spot ending times, the plurality of corresponding user play scene spot starting times and the plurality of corresponding scene spot type attributes is sequentially performed through the second formula to obtain the scores of the user play time, so that data is objectively and accurately obtained, subjective human influence is reduced, meanwhile, the situation that the recommended scene spots are only the scene spots with higher popularity is avoided, the most suitable play time of the scene spots can be recommended to the user, the personalized customization of the travel routes is realized, and the travel experience of the user is improved.
Optionally, as an embodiment of the present invention, the scenery play time scoring unit is specifically configured to:
sequentially carrying out scoring processing on the sight spot playing time on a plurality of sight spot closing times and a plurality of corresponding sight spot opening times through a third formula to obtain scores of the sight spot playing time, wherein the third formula is as follows:
wherein, tmaxIs the closing time of the scenery spot, t is the playing time of the scenery spot, tminThe opening time of the sight spot, and χ (s, t) the playing time score of the sight spot.
It should be appreciated that for the scoring of the optimal play time for an attraction, the closer to the start play time and the close play time of the attraction, the less appropriate to play the attraction; when the play time is the middle segment of the open time and the closed time of the attraction, this is considered the optimal play time period for the attraction.
In the above embodiment, the scores of the sight spot play times are obtained by sequentially scoring the sight spot play times of the plurality of sight spot closing times and the plurality of corresponding sight spot opening times through the third formula, data are objectively and accurately obtained, subjective human influence is reduced, the recommended sight spots are avoided being only sight spots with higher popularity, the most appropriate play time of the sight spots can be recommended to the user, personalized customization of the tour route is realized, and the travel experience of the user is improved.
Optionally, as an embodiment of the present invention, the sight score calculating unit is specifically configured to:
sequentially carrying out rating treatment on comprehensive scenic spot evaluation on the popularity scores, the corresponding user playing time scores and the corresponding scenic spot playing time scores according to a fourth formula to obtain multiple scenic spot rating information, wherein the fourth formula is as follows:
wherein, score(s)i) Is a scenery spot SiRating information, SiIs a tourist attraction,
is a scenery spot SiPopularity score, v (u, c)i) Playing scenic spots S for a useriIs scored as the play time, χ(s)iT) is the scenery spot SiAnd the playing time is scored, and omega is a preset weight adjustment factor of the popularity of the scenic spots and the preference of the user.
It should be appreciated that ω is 0.4, giving the user a greater weight to the preference, highlighting the user's needs.
In the embodiment, the scoring processing of the scenic spot comprehensive evaluation of the popularity scores, the corresponding user play time scores and the corresponding scenic spot play time scores is performed in sequence through the fourth formula to obtain the scenic spot scoring information, data are objectively and accurately obtained, subjective artificial influence is reduced, meanwhile, the situation that the recommended scenic spots are only scenic spots with high popularity is avoided, the most suitable play time of the scenic spots can be recommended to the user, the personalized customization of the tour route is realized, and the travel experience of the user is improved.
Optionally, as an embodiment of the present invention, the circuit customization model obtaining module includes a model building unit and a screening calculation unit;
the model construction unit is used for respectively carrying out model construction on the plurality of scenic spot scoring information through a simulated annealing algorithm to obtain a plurality of tourist route models;
and the screening and calculating unit is used for screening and calculating a plurality of corresponding travel route models according to the plurality of scenic spot scoring information to obtain a travel route customized model.
In the embodiment, a plurality of tourist route models are respectively constructed on a plurality of models of the scenic spot scoring information through a simulated annealing algorithm; the tour route customization model is obtained by screening and calculating the plurality of corresponding tour route models according to the plurality of scenic spot scoring information, the problem that the personalized degree of the tour route recommended to the user in the existing tour field is not high is solved, the self-service tour service of the user is realized, the tour resources are effectively integrated, the personalized customization of the tour route is realized, and the tour experience of the user is improved.
Optionally, as an embodiment of the present invention, the screening calculation unit is specifically configured to:
and screening and calculating the plurality of scenic spot scoring information and the plurality of corresponding tourist route models through a fifth formula to obtain a tourist route customized model, wherein the fifth formula is as follows:
wherein the content of the first and second substances,
wherein, the Trip is a custom model of the travel route, xi,jIn order to make a decision on a variable,
score(si) As a model of a tourist route, tiThe playing time in the scenery spot, eiFor entrance ticket cost, ti,jIs a scenery spot siHarmony scene sjTime of travel in between, eiIs a scenery spot siHarmony scene sjCost of T betweenmaxFor maximum travel time, EmaxScore(s) for maximum costi) Is a scenery spot SiAnd (4) scoring information.
It should be understood that when the scenery s isjIs a scenery spot siThe next play scene of, then xi,jOtherwise, it is 0.
Specifically, the constraint conditions of the travel route customization model are as follows:
the constraint of the above equation is to ensure that the starting point of the customized tour route is s1End point is sn；
The constraints of the above formula are to ensure that the customized tour route is consistent and the sights are not repeated;
the constraint of the above equation indicates that the travel time and cost for the customized travel itinerary must be within the maximum travel time and cost allowed by the user, tiAnd eiIndicating the time of play and ticket cost, t, within the attractioni,jAnd ei,jRepresenting sights siAnd sjTravel time and cost between, TmaxAnd EmaxIndicating the maximum travel time and expense.
In the embodiment, the travel route customization model is obtained by screening and calculating the plurality of scenic spot scoring information and the plurality of corresponding travel route models according to the fifth formula, so that the problem that the personalized degree of recommending the travel route for the user in the existing travel field is not high is solved, the self-service travel service of the user is realized, the travel resources are effectively integrated, the personalized customization of the travel route is realized, and the travel experience of the user is improved.
Optionally, as an embodiment of the present invention, the system further includes a user personal center module, where the user personal center module is specifically configured to:
and checking personal basic information, wherein the user personal center module comprises a user name, a mailbox, a mobile phone number and the travel route customization model.
Optionally, as an embodiment of the present invention, the travel route customization system further includes a travel route customization display module, where the travel route customization display module is specifically configured to:
displaying the travel route customized model recommended to the user;
and the user is also used for editing the travel route customized model.
Specifically, the user can delete or increase interested scenic spots in real time according to personal preferences, and after the added scenic spots are added, the device can customize a travel route for the user in the recommended scenic spots according to the requirements of the user such as travel time, cost and the like, so that the travel experience of the user is improved.
FIG. 2 is a flow chart illustrating a method for customizing a travel route according to an embodiment of the present invention.
Alternatively, as another embodiment of the present invention, as shown in fig. 2, a method for customizing a travel route includes the following steps:
obtaining user search information from a preset user search interface;
performing keyword processing on the user search information to obtain keyword information;
performing scenic spot grading analysis on the keyword information according to a preset tourism information knowledge base to obtain a plurality of scenic spot grading information;
and carrying out model construction processing on the plurality of scenic spot scoring information to obtain a travel route customization model.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment of the present invention.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. It will be understood that the technical solution of the present invention essentially contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
While the invention has been described with reference to specific embodiments, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A travel route customization apparatus, comprising: the system comprises an information acquisition module, a keyword processing module, a scenic spot score analysis module and a route customization model construction module;
the information acquisition module is used for acquiring user search information from a preset user search interface;
the keyword processing module is used for performing keyword processing on the user search information to obtain keyword information;
the scenic spot score analysis module is used for carrying out scenic spot score analysis on the keyword information according to a preset tourist information knowledge base to obtain a plurality of scenic spot score information;
and the route customization model building module is used for carrying out model building processing on the plurality of scenic spot scoring information to obtain a travel route customization model.
2. The travel route customization apparatus according to claim 1, wherein the keyword processing module is specifically configured to:
performing word segmentation processing on the user search information based on an ICTS 2015 word segmentation system to obtain word segmentation information, performing part-of-speech tagging processing on the word segmentation information to obtain part-of-speech tagging information, and performing keyword extraction processing on the part-of-speech tagging information to obtain keyword information.
3. The travel route customizing apparatus according to claim 2, wherein the sight score analyzing module comprises an information searching unit, a popularity score calculating unit, a user play time score calculating unit, a sight play time score calculating unit, and a sight score calculating unit;
the information searching unit is used for searching the keyword information in a preset tourism information knowledge base to obtain a plurality of pieces of user demand tourism information matched with the keyword information, and each piece of user demand tourism information comprises the number of scenic spot photos shared by a user, the number of users who arrive at a scenic spot, a user tourism route, the ending time of scenic spot playing of the user, the starting time of scenic spot playing of the user, the type attribute of the scenic spot, the closing time of the scenic spot and the opening time of the scenic spot;
the popularity score calculating unit is used for sequentially carrying out popular degree score processing on the number of the scenery spot sharing photos of the users and the number of the scenery spot passing users corresponding to the users to obtain a plurality of popularity scores;
the user playing time scoring calculation unit is used for sequentially scoring the user playing time of the plurality of user travel routes, the plurality of corresponding user playing scene spot ending times, the plurality of corresponding user playing scene spot starting times and the plurality of corresponding scene spot type attributes to obtain a plurality of user playing time scores;
the scenery spot playing time scoring calculation unit is used for sequentially scoring the scenery spot playing time for the plurality of scenery spot closing times and the plurality of corresponding scenery spot opening times to obtain a plurality of scenery spot playing time scores;
and the scenery spot score calculating unit is used for sequentially carrying out score processing of scenery spot comprehensive evaluation on the plurality of popularity scores, the plurality of corresponding user play time scores and the plurality of corresponding scenery spot play time scores to obtain a plurality of scenery spot score information.
4. The travel route customizing apparatus according to claim 3, wherein the popularity score calculating unit is specifically configured to:
sequentially carrying out popular degree scoring processing on the number of the user sharing scenery spot photos and the number of the corresponding scenery passing users through a first type to obtain a plurality of popularity scores, wherein the first type is as follows:
wherein the content of the first and second substances,
sharing sights S for user uiNumber of photographs, UuTo removeScenic spot SiThe set of users of (a) is,
is a scenery spot SiAnd (4) scoring the popularity.
5. The travel route customizing apparatus according to claim 3, wherein the user play time score calculating unit is specifically configured to:
the scoring processing of the user playing time is sequentially carried out on the plurality of user tour routes, the plurality of corresponding user playing scene spot ending times, the plurality of corresponding user playing scene spot starting times and the plurality of corresponding scene spot type attributes through a second formula, so that a plurality of user playing time scores are obtained, wherein the second formula is as follows:
wherein the content of the first and second substances,
wherein the content of the first and second substances,
wherein, tripuIn order for the user to travel the route sequence,
playing scenic spots S for a userxThe time of the end is the time of day,
playing scenic spots S for a userxThe time of the start is set to be,
is a scenery spot SxType attribute, v (u, c) scoring user play time，
Is a scenery spot SiAverage playing time, n is the scene of passing SiThe number of users, U, is the set of all users.
6. The travel route customizing apparatus of claim 3, wherein the scenic spot play time score calculating unit is specifically configured to:
sequentially carrying out scoring processing on the sight spot playing time on a plurality of sight spot closing times and a plurality of corresponding sight spot opening times through a third formula to obtain scores of the sight spot playing time, wherein the third formula is as follows:
wherein, tmaxIs the closing time of the scenery spot, t is the playing time of the scenery spot, tminThe opening time of the sight spot, and χ (s, t) the playing time score of the sight spot.
7. The travel route customizing apparatus according to any one of claims 3 to 6, wherein the sight score calculating unit is specifically configured to:
sequentially carrying out rating treatment on comprehensive scenic spot evaluation on the popularity scores, the corresponding user playing time scores and the corresponding scenic spot playing time scores according to a fourth formula to obtain multiple scenic spot rating information, wherein the fourth formula is as follows:
wherein, score(s)i) Is a scenery spot SiRating information, SiIs a tourist attraction,
is a scenery spot SiPopularity score, v (u, c)i) Playing scenic spots S for a useriIs scored as the play time, χ(s)iT) is the scenery spot SiAnd the playing time is scored, and omega is a preset weight adjustment factor of the popularity of the scenic spots and the preference of the user.
8. The travel route customizing apparatus according to claim 7, wherein the route customizing model obtaining module comprises a model constructing unit and a screening calculating unit;
the model construction unit is used for respectively carrying out model construction on the plurality of scenic spot scoring information through a simulated annealing algorithm to obtain a plurality of tourist route models;
and the screening and calculating unit is used for screening and calculating a plurality of corresponding travel route models according to the plurality of scenic spot scoring information to obtain a travel route customized model.
9. The travel route customizing apparatus according to claim 8, wherein the screening calculating unit is specifically configured to:
and screening and calculating the plurality of scenic spot scoring information and the plurality of corresponding tourist route models through a fifth formula to obtain a tourist route customized model, wherein the fifth formula is as follows:
wherein the content of the first and second substances, 
wherein, the Trip is a custom model of the travel route, xi,jIn order to make a decision on a variable,
score(si) As a model of a tourist route, tiThe playing time in the scenery spot, eiFor entrance ticket cost, ti,jIs a scenery spot siHarmony scene sjTime of travel in between, eiIs a scenery spot siHarmony scene sjCost of T betweenmaxFor maximum travel time, EmaxScore(s) for maximum costi) Is a scenery spot SiAnd (4) scoring information.
10. A method for customizing a tour route is characterized by comprising the following steps:
obtaining user search information from a preset user search interface;
performing keyword processing on the user search information to obtain keyword information;
performing scenic spot grading analysis on the keyword information according to a preset tourism information knowledge base to obtain a plurality of scenic spot grading information;
and carrying out model construction processing on the plurality of scenic spot scoring information to obtain a travel route customization model.
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