CN113742598A - Intelligent ticket recommendation method and device for tourist attraction and computer equipment - Google Patents
Intelligent ticket recommendation method and device for tourist attraction and computer equipment Download PDFInfo
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Abstract
The invention relates to the technical field of tourist services, and discloses an intelligent recommendation method and device for entrance tickets in tourist attractions, and computer equipment, wherein the method comprises the following steps: obtaining a travel related document; matching the travel related documents with the accurate words in the accurate word bank one by one; searching a plurality of tourist attractions in a mapping relation with the accurate words in the accurate word bank; extracting tourist destinations, and extracting target tourist attractions in the tourist attraction set; obtaining entrance ticket data of a target tourist attraction, and matching the best entrance ticket combination information; and establishing a hyperlink by taking the matching words in the travel related document as a source endpoint and the optimal ticket combination information as a target endpoint. The intelligent recommendation method, device and computer equipment for the tickets in the tourist attraction, provided by the invention, can match and recommend the optimal ticket combination information for the user according to the tourism related documents of the user and the travel attributes of the user, so that the user does not need to browse the ticket combination information of the tourist attraction one by one, the browsing time of the user is saved, and the user experience is improved.
Description
Technical Field
The invention relates to the technical field of tourist services, in particular to an intelligent recommendation method and device for entrance tickets in tourist attractions and computer equipment.
Background
With the development of society and the increasing abundance of spiritual life of people, more and more people select the leisure mode of tourism, and many famous scenic spots in China are charged, so people are required to buy tickets to enter the scenic spots for visiting.
The method for buying the ticket of the tourist attraction by the tourist has two modes of online ticket buying and offline ticket buying, wherein the online ticket buying mode requires the tourist to buy the ticket of the tourist attraction at least one day in advance, and the online ticket buying mode can be handled at the entrance of the tourist attraction. Then, due to fire explosion in some tourist attractions, the situation that waiting time is long or tickets cannot be purchased due to the fact that passenger flow in the scenic spots is full can be caused when tickets are purchased offline, online tickets have various combinations or various preferential information, a user can purchase tickets by inputting names of the scenic spots and checking specific information of each ticket combination one by one, the user cannot pay attention to ticket combination information of the most suitable user in time, the browsing time of the user is prolonged, and the user experience degree is low.
Disclosure of Invention
The invention provides an intelligent ticket recommendation method, device and computer equipment for a tourist attraction, which can match and recommend optimal ticket combination information for a user according to a tourist related document of the user and travel attributes of the user, and the user does not need to browse the ticket combination information of the attraction one by one, so that the browsing time of the user is saved, and the user experience is improved.
The invention provides an intelligent ticket recommendation method for tourist attractions, which comprises the following steps:
obtaining a travel related document; wherein, the tourism related documents comprise chatting records, memo records and searching records;
matching the travel related documents with accurate words in a preset accurate word bank one by one; wherein the matching is to judge whether an accurate word appears in the travel related document;
if the accurate words appear in the tourism related documents, searching a plurality of tourist attractions which are in mapping relation with the accurate words in the accurate word bank to form a tourist attraction set; the accurate word bank is pre-stored with accurate words and tourist attractions which are in mapping relation, and one accurate word is mapped with one or more different tourist attractions;
extracting travel destinations in the travel-related documents, and extracting target travel scenic spots in the travel scenic spot set according to the travel destinations;
obtaining entrance ticket data of the target tourist attraction, and matching the best entrance ticket combination information in the entrance ticket data according to the travel attribute of the user;
establishing a hyperlink by taking the matching words in the travel related document as a source endpoint and the optimal ticket combination information as a target endpoint; and the matching words are words having a matching relation with the accurate word bank.
Further, the travel related documents are matched with accurate words in a preset accurate word bank one by one; wherein, after the step of judging whether the travel-related document has the accurate word, the matching further comprises:
if the precise words do not appear in the travel related documents, matching the travel related documents with the fuzzy words in the precise word bank one by one;
if the fuzzy words appear in the travel related document, extracting target accurate words corresponding to the fuzzy words; the accurate word bank is pre-stored with fuzzy words and accurate words in mapping relation, and one accurate word is mapped with one or more different fuzzy words;
searching a plurality of tourist attractions in a mapping relation with the target accurate words in the accurate word bank to form a tourist attraction set;
executing the steps of extracting the travel destination in the travel-related document and extracting the target travel region in the travel region set according to the travel destination;
and if the fuzzy words do not appear in the travel related document, returning to the step of acquiring the travel related document.
Further, before the step of extracting the travel destination from the travel-related document and extracting the target travel region from the set of travel regions according to the travel destination, the method further comprises:
judging whether the travel destination appears in the travel related document; wherein the destination of the tour is a first-level provincial administrative district or a second-level regional administrative district;
if the tourist destination appears in the tourist-related document, executing the steps of extracting the tourist destination in the tourist-related document and extracting a target tourist attraction in the tourist attraction set according to the tourist destination;
if the tourist destination does not appear in the tourist-related document, acquiring entrance ticket data of all tourist attractions in the tourist attraction set;
matching the optimal entrance ticket combination information of each tourist attraction in the tourist attraction set according to the travel attribute of the user;
associating the optimal entrance ticket combination information with the corresponding tourist attraction and inserting the optimal entrance ticket combination information into the tourist attraction set to form an entrance ticket recommendation set;
and establishing a hyperlink by taking the matching words in the travel related document as a source endpoint and the ticket recommendation set as a target endpoint.
Further, the step of matching the best entrance ticket combination information in the entrance ticket data according to the travel attribute of the user includes:
acquiring historical travel data of a user; the historical trip data comprises a scenic spot name, payment items in the scenic spot and payment items played by a user;
extracting a historical scenic spot with the same attribute as the target scenic spot, and acquiring a historical scenic spot name, payment items in the historical scenic spot and payment items played by a user;
calculating the charge item consumption rate of the historical scenic spot, and judging whether the charge item consumption rate exceeds a set numerical value or not;
if the charge rate of the payment item exceeds a set value, matching the entrance ticket combination containing the payment item as the optimal entrance ticket combination information;
and if the charge rate of the payment project does not exceed a set value, obtaining an entrance ticket of a target tourist attraction according to a travel mode of the user, and taking the entrance ticket as the optimal entrance ticket combination information.
Further, the step of obtaining the entrance ticket of the target tourist attraction according to the travel mode of the user and taking the entrance ticket as the optimal entrance ticket combination information includes:
judging whether the co-workers of the user include the user with the preferential ticket price;
if the peers of the users include users with preferential fares, matching the entrance ticket combination of the target tourist attraction containing the users with the preferential fares according to the number of the users with the preferential fares, and taking the entrance ticket as the optimal entrance ticket combination information;
and if the fellow people of the users do not comprise the users with preferential ticket prices, matching the ticket combination of the target tourist attraction with the double-adult or multi-adult combination preference, and taking the ticket as the optimal ticket combination information.
Further, after the step of obtaining the ticket data of the target tourist attraction and matching the best ticket combination information in the ticket data according to the travel attribute of the user, the method further includes:
acquiring passenger flow data, ticket selling data and ticket releasing data in a set time period of one year in a target tourist attraction;
and adding the passenger flow data, the ticket selling data and the ticket placing data into the optimal ticket combination information.
Further, after the step of establishing a hyperlink by using the matching word in the travel-related document as a source endpoint and the optimal ticket combination information as a target endpoint, the method further comprises:
highlighting and displaying the matched words in green;
placing the name and the price of the optimal ticket combination information in a preset popup window; the popup is displayed when the user slides to the matched word;
placing the detailed information of the optimal ticket combination information and the matching process log of the matching words in a preset document; and the document is started when the user clicks the matching word.
The invention also provides an intelligent ticket recommending device for tourist attractions, which comprises:
the first acquisition module is used for acquiring a travel related document; wherein, the tourism related documents comprise chatting records, memo records and searching records;
the matching module is used for matching the travel related documents with the accurate words in a preset accurate word bank one by one; wherein the matching is to judge whether an accurate word appears in the travel related document;
the searching module is used for searching a plurality of tourist attractions which are in mapping relation with the accurate words in the accurate word bank when the accurate words appear in the tourist related documents so as to form a tourist attraction set; the accurate word bank is pre-stored with accurate words and tourist attractions which are in mapping relation, and one accurate word is mapped with one or more different tourist attractions;
the extraction module is used for extracting the tourist destinations in the tourist-related documents and extracting target tourist attractions in the tourist attraction set according to the tourist destinations;
the second acquisition module is used for acquiring the entrance ticket data of the target tourist attraction and matching the optimal entrance ticket combination information in the entrance ticket data according to the travel attribute of the user;
the establishing module is used for establishing a hyperlink by taking the matching words in the travel related document as a source endpoint and the optimal ticket combination information as a target endpoint; and the matching words are words having a matching relation with the accurate word bank.
The invention also provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the method when executing the computer program.
The invention also provides a computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned method.
The invention has the beneficial effects that:
the method comprises the steps of obtaining travel related documents such as chat records, memo records and search records of a user, performing attention matching with accurate words of an accurate word bank, finding a plurality of tourist attractions with mapping relation with the accurate words when the accurate words are matched in the travel related documents, determining a target tourist attraction according to a destination of the user to obtain entrance ticket data of the target tourist attraction, matching the optimal entrance ticket combination information according to attributes of the user including a travel mode, travel preference and the like, taking the matched words in the travel related documents as source end points and the optimal entrance ticket combination information as target end points, and establishing a hyperlink so that the user can see the optimal entrance ticket combination information by clicking or sliding to the matched words, the user does not need to browse the entrance ticket combination information of the scenic spots one by one, the browsing time of the user is saved, and the user experience is improved.
Drawings
Fig. 1 is a schematic flow chart of a method according to an embodiment of the present invention.
Fig. 2 is a schematic structural diagram of an apparatus according to an embodiment of the present invention.
Fig. 3 is a schematic diagram of an internal structure of a computer device according to an embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, the present invention provides an intelligent recommendation method for entrance tickets in tourist attractions, which comprises:
s1, obtaining travel related documents; wherein, the tourism related documents comprise chatting records, memo records and searching records;
s2, matching the travel related documents with the accurate words in a preset accurate word bank one by one; wherein the matching is to judge whether an accurate word appears in the travel related document;
s3, if the accurate words appear in the travel related documents, searching a plurality of tourist attractions in a mapping relation with the accurate words in the accurate word bank to form a tourist attraction set; the accurate word bank is pre-stored with accurate words and tourist attractions which are in mapping relation, and one accurate word is mapped with one or more different tourist attractions;
s4, extracting travel destinations in the travel-related documents, and extracting target travel regions in the travel region set according to the travel destinations;
s5, obtaining entrance ticket data of the target tourist attraction, and matching the best entrance ticket combination information in the entrance ticket data according to the travel attribute of the user;
s6, establishing a hyperlink by taking the matching words in the travel related document as a source endpoint and the optimal ticket combination information as a target endpoint; and the matching words are words having a matching relation with the accurate word bank.
As described in step S1, the travel-related documents include, but are not limited to, chat records, memo records, and search records, and may also include a travel requirement document edited by the user, which may include a favorite of the user, a tickler, and the like; the chat records can be individual chat records with friends or group chat records; the memo record and the search record can be the record of the day or the record in a certain time period.
As described in the above steps S2-S3, the precise word library stores a plurality of precise words having mapping relation with the scenic spots, such as "landscape" representing the scenic spot with landscape and "amusement" representing the amusement park with various playing items; each accurate word corresponds to one or more tourist attractions, the corresponding relation between the accurate word and the tourist attractions is a preset and artificially added relation, the accurate word and the tourist attractions are stored in an accurate word bank, and meanwhile, the accurate word bank comprises a data maintenance port so that operation and maintenance personnel can update the accurate word in the accurate word bank and the mapping relation between the accurate word and the tourist attractions through the data maintenance port. When matching, extracting an accurate word from the accurate word bank and searching whether the accurate word appears in the tourism related document, if so, obtaining a plurality of tourist attractions through the mapping relation between the accurate word and the tourist attractions; and if the accurate word does not appear, continuously extracting the next accurate word until all the accurate words in the accurate word bank are matched.
As described in the above step S4, the travel-related document may include a destination to which the user wishes to go, and further precisely matches the destination to which the user wishes to go, and determines which of the plurality of obtained travel-related regions belongs to the destination to which the user goes according to the location of the destination, and uses these travel-related regions as the target travel-related regions.
As described in step S5, the ticket data of the target tourist attraction is crawled from each big ticketing website, wherein the ticket data includes adult tickets, child tickets, old-age tickets, ticket-free policies, combined tickets of the tickets and items in the tourist attraction, multi-person combined sheets, parent-child tickets, and the like, and further matches the optimal ticket combined information according to the travel attribute of the user, the travel attribute of the user can adopt the travel attribute with the most history, and if the user sets the current travel attribute, the current travel attribute is adopted; the user's travel attribute includes but is not limited to travel mode, trip hobby etc., and the travel mode includes parent-child trip, lovers ' trip etc., and the trip hobby includes likes the mountain and water, likes amazing project, likes the playground etc., can select the ticket that is most suitable for the user from the ticket data according to the user's travel attribute to regard it as best ticket combined information. For example, if the user travel attribute is a favorite playground, the entrance tickets are matched with the combination tickets of the items in the tourist attraction, the user does not need to browse the combination information of the entrance tickets of the tourist attraction one by one, the browsing time of the user is saved, and the user experience is improved.
As described in step S6, the matching word in the travel-related document is used as a source endpoint, and the matching word is a word having a matching relationship with the accurate word bank; for example, if the document related to travel has mountain and water, and the accurate word bank has the accurate word "mountain and water", the "mountain and water" in the document related to travel is used as the matching word, and then the best entrance ticket combination information in step S5 is used as the target endpoint to establish a hyperlink, and when the user clicks or slides to the matching word, the best entrance ticket combination information can be checked, so that the user does not need to browse the entrance ticket combination information of the scenic spot one by one, thereby saving the browsing time of the user and improving the user experience.
In one embodiment, the travel-related documents are matched with accurate words in a preset accurate word bank one by one; wherein, after the step of judging whether the travel-related document has the accurate word, the matching further comprises:
s31, if the accurate words do not appear in the travel related documents, matching the travel related documents with the fuzzy words in the accurate word bank one by one;
s32, if the fuzzy words appear in the travel related documents, extracting target accurate words corresponding to the fuzzy words; the accurate word bank is pre-stored with fuzzy words and accurate words in mapping relation, and one accurate word is mapped with one or more different fuzzy words;
s33, searching a plurality of tourist attractions which are in mapping relation with the target accurate words in the accurate word bank to form a tourist attraction set;
s34, executing the steps of extracting the travel destination in the travel-related document and extracting the target travel scenic spot in the travel scenic spot set according to the travel destination;
s35, if the fuzzy words do not appear in the travel related document, returning to the step of acquiring the travel related document.
As described in the above steps S31-S35, since the travel-related document of the user cannot accurately write the precise word and correspond to the tourist attraction, but often appears words having a relationship with the precise word but not the precise word, after matching the travel-related document with the precise word in the preset precise word bank one by one, it is determined that the precise word does not appear in the travel-related document, at this time, the travel-related document is matched with the fuzzy words in the precise word bank one by one so as to deeply mine the user' S demand, one precise word in the precise word bank corresponds to one or more fuzzy words, for example, the precise word "landscape" corresponds to the fuzzy word "creek", "tree", "hill climbing", etc., the precise word "amusement" corresponds to the fuzzy word "rolling trojan", "bump car", "big bob", etc., the relationship between the precise word and the fuzzy word is a relationship set and added artificially in advance, the fuzzy words are stored in the accurate word bank, and meanwhile, the accurate word bank comprises a data maintenance port, so that operation and maintenance personnel can update the accurate words in the accurate word bank and the mapping relation between the accurate words and the fuzzy words through the data maintenance port. When matching, extracting a fuzzy word from the accurate word bank and searching whether the fuzzy word appears in the tourism related document, if the fuzzy word appears, obtaining an accurate word through the mapping relation between the fuzzy word and the accurate word, further obtaining a plurality of tourist attractions according to the mapping relation between the accurate word and the tourist attractions, and forming a tourist attraction set; and if the fuzzy word does not appear, continuously extracting the next fuzzy word until all fuzzy words in the accurate word bank are matched. And after the tourist attraction set is obtained, extracting a target tourist attraction in the tourist attraction set according to a tourist destination, namely executing steps S4-S6, obtaining entrance ticket data according to the target tourist attraction, obtaining optimal entrance ticket combination information according to the travel attribute of the user, finally taking a matching word in a tourist related document as a source end point, taking the optimal entrance ticket combination information as a target end point, establishing a hyperlink, and finding the optimal entrance ticket combination information when the user clicks or slides to the matching word without browsing the entrance ticket combination information of the tourist attraction one by one, so that the browsing time of the user is saved, and the user experience is improved.
In one embodiment, before the step of extracting the travel destination from the travel-related document and extracting the target travel region from the set of travel regions according to the travel destination, the method further comprises:
s041, judging whether the travel destination appears in the travel related document; wherein the destination of the tour is a first-level provincial administrative district or a second-level regional administrative district;
s042, if the tourist destination appears in the tourist-related document, executing the steps of extracting the tourist destination in the tourist-related document and extracting a target tourist attraction in the tourist attraction set according to the tourist destination;
s043, if the tourist destination does not appear in the tourist related document, obtaining entrance ticket data of all tourist attractions in the tourist attraction set;
s044, matching the optimal entrance ticket combination information of each tourist attraction in the tourist attraction set according to the travel attribute of the user;
s045, associating the optimal ticket combination information with the corresponding tourist attraction and inserting the optimal ticket combination information into the tourist attraction set to form a ticket recommendation set;
and S046, establishing a hyperlink by taking the matching words in the travel related document as a source endpoint and the ticket recommendation set as a target endpoint.
As described in the foregoing steps S041-S046, before the travel destination of the user is extracted from the travel-related document, it is further determined whether the travel-related document has a travel destination, where the travel destination is a first-level province-level administrative district or a second-level regional administrative district, and the administrative districts are southern hain, Yunnan, etc., and the second-level administrative district is western ampere, hang state, etc., when the travel destination appears in the travel-related document, the target travel scenic region in the travel scenic region set can be extracted according to the travel destination, where, for example, the travel scenic region set includes "er sea", "Qinghai lake" and "Jiuzhai ditch", and the travel destination is Yunnan, the target travel scenic region is "er sea"; when no tourist destination appears in the tourist-related document, the user may be interested in all tourist attractions in the tourist attraction set and only does not determine which place to go well, so that entrance ticket data of all tourist attractions in the tourist attraction set is obtained, then the optimal entrance ticket combination information of each tourist attraction in the tourist attraction set is matched according to the travel attribute of the user, the travel attribute of the user can adopt the travel attribute with the most history, and if the user sets the current travel attribute, the current travel attribute is adopted; then, the optimal entrance ticket combination information of each tourist attraction is correlated and inserted into a tourist attraction set, so that one tourist attraction in the tourist attraction set corresponds to one optimal entrance ticket combination information, and an entrance ticket recommendation set is finally formed; finally, the matching words in the travel related documents are used as source end points, the entrance ticket recommendation set is used as a target end point, so that hyperlinks are established, the best entrance ticket combination information can be checked when a user clicks or slides to the matching words, the user does not need to browse the entrance ticket combination information of the scenic spot one by one, the browsing time of the user is saved, and the user experience is improved; the entrance ticket recommendation set is displayed in a folding mode when the user slides to the matching word, and when the user clicks the matching word, a document or a page appears, and the entrance ticket recommendation set is unfolded to enable the entrance ticket recommendation set to be displayed in a detailed information mode.
In one embodiment, the step of matching the best entrance ticket combination information in the entrance ticket data according to the travel attribute of the user includes:
s51, acquiring historical travel data of the user; the historical trip data comprises a scenic spot name, payment items in the scenic spot and payment items played by a user;
s52, extracting a historical scenic region with the same attribute as the target scenic region, and acquiring the name of the historical scenic region, payment items in the historical scenic region and payment items played by a user;
s53, calculating the charge item consumption rate of the historical scenic spot, and judging whether the charge item consumption rate exceeds a set numerical value;
s54, if the charge rate of the payment item exceeds the set value, matching the entrance ticket combination containing the payment item as the best entrance ticket combination information;
and S55, if the charge item consumption rate does not exceed the set value, obtaining the entrance ticket of the target tourist attraction according to the travel mode of the user, and taking the entrance ticket as the optimal entrance ticket combination information.
As described in the above steps S51-S55, most tourist sites currently include many premium items in addition to tickets, and some of the items have a combination preference with tickets, but some users who do not pay attention to the items do not know the items, and thus the items cost higher prices; therefore, the set user's travel attributes are not limited to travel modes and travel preferences, but also include consumption conditions of scenic spot items so as to match more favorable entrance ticket combination information to the user, so as to save expenses, and the items and the ticket prices of the items in the matched tourist spots can be marked behind the matched tourist spots so as to compare with the combination of the user and the ticket. Acquiring historical travel data of a user; the historical trip data comprises a scenic spot name, paid items in the scenic spot and paid items played by a user, a historical scenic spot with the same attribute as a target scenic spot is extracted (the consumption condition of the user in the scenic spot with the same attribute as the target scenic spot is possibly similar), the historical scenic spot name, the paid items in the historical scenic spot and the paid items played by the user are obtained, so that the consumption rate of the paid items played by the user in the historical scenic spot with the same attribute can be obtained, the consumption rate of the paid items = paid items played by the user/paid items in the historical scenic spot, the consumption condition of the user in the target scenic spot with the same attribute is predicted according to the consumption rate of the paid items, when the consumption rate of the paid items exceeds a set value (50%, the consumption rate can be adjusted according to specific conditions, and is not limited), a ticket combination containing the paid items is matched to be used as optimal ticket combination information, so that more favorable entrance ticket combination information can be recommended to the user; when the consumption rate of the payment item does not exceed the set value, the user dislikes to consume additional consumption items in the scenic spot, so that the entrance ticket of the target tourist attraction is obtained according to the travel mode of the user, the entrance ticket is used as the optimal entrance ticket combination information, and the combination recommendation of the entrance ticket and the consumption items is not made, so that the demand of the user can be adapted better.
In one embodiment, the step of obtaining tickets of the target tourist attraction according to the travel mode of the user and using the tickets as the optimal ticket combination information includes:
s551, judging whether the co-workers of the user include the user with the preferential ticket price;
s552, if the co-workers of the users comprise users with preferential ticket prices, matching the entrance ticket combination of the target tourist attraction containing the users with the preferential ticket prices according to the number of the users with the preferential ticket prices, and taking the entrance ticket as the best entrance ticket combination information;
and S553, if the fellow passenger of the user does not include the user with the preferential ticket price, matching the ticket combination of the target tourist attraction with the double-adult or multi-adult combination preference, and taking the ticket as the optimal ticket combination information.
As described in the above steps S551 to S553, whether the user needs to purchase a coupon ticket is determined by the user' S travel mode; that is, whether users with preferential fares, such as the aged and/or children, are included in the peers of the users is judged, the age and height judgment of the aged and children with the preferential fares is judged according to the specific regulations of the target tourist attraction, for example, an aged ticket above 60 years old, a child ticket below 1.2 meters, a child ticket half between 1.6 and 1.5 meters, a student ticket half, a military service ticket and the like, if the peers of the users include users with preferential fares, the ticket combination of the target tourist attraction including the preferential users is matched according to the number of the preferential users; for example, if the preferential user has children, parent-child tickets can be matched, such as a combination ticket of one adult and one child or a combination ticket of two adults and one child, and the combination ticket is used as the optimal ticket combination information to establish a hyperlink to be pushed to the user; if the fellow of the user does not include the user with the preferential ticket price, the ticket combination of the target tourist attraction with the preferential double-adult or multi-adult combination is matched according to the number of the fellow of the user, for example, if the user plays a tour by a lover, a double-person ticket or a lover ticket (when the target tourist attraction has the combined ticket) with the preferential combination is matched as the optimal ticket combination information, so that a hyperlink is established and pushed to the user.
In one embodiment, after the step of obtaining the ticket data of the target tourist attraction and matching the best ticket combination information in the ticket data according to the travel attribute of the user, the method further includes:
s501, obtaining passenger flow volume data, ticket selling volume data and ticket releasing volume data in a set time period of one year in a target tourist attraction;
and S502, adding passenger flow volume data, ticket selling volume data and ticket placing volume data to the optimal ticket combination information.
After obtaining the optimal ticket composition information, as described in the above steps S501-S502, crawling the target tourist attraction from the tourist website for the passenger flow data, ticket sales data and ticket sales data in the set time period (usually three months after the current time of the user in the previous year, such as the travel related documents of the user 2021, 10, month and 22 days, the set time period is 22 months in 2020, 10, month and 2021, month and 22 days), adding the passenger flow data, ticket sales data and ticket sales data to the optimal ticket composition information, establishing a hyperlink with the optimal ticket composition information as the target endpoint, checking the optimal ticket composition information when the user clicks or slides to the matching word, and at the same time, checking the historical passenger flow data, ticket sales data and ticket sales data, arranging the specific date according to the historical passenger flow data, determining whether advance ticket purchase is required according to the ticket sales data and ticket sales data, therefore, the user does not need to browse the scenic spot entrance ticket combination information one by one, the browsing time of the user is saved, and the user experience is improved.
In one embodiment, the step of establishing a hyperlink by using the matching word in the travel-related document as a source endpoint and the best ticket combination information as a target endpoint further comprises:
s7, highlighting the matched words and displaying the highlighted matched words in green;
s8, placing the name and the price of the optimal ticket combination information in a preset popup window; the popup is displayed when the user slides to the matched word;
s9, placing the detailed information of the optimal entrance ticket combination information and the matching process log of the matching words in a preset document; wherein the document is a document that is launched when a user clicks on a matching word.
As described in the above steps S7-S9, after the hyperlink is established, the matching word is highlighted and displayed in green or other colors, so that the user can know at a glance that the best entrance ticket combination information can be viewed at the place, and at some time, the word size of the matching word can be increased to enable more prominent display; the name and the price of the best ticket combination information are the most important for the user, so that the name and the price of the best ticket combination information are placed in a preset popup window, the preset popup window is displayed when the user slides to a matching word, the user can browse the name and the price of the best ticket combination information conveniently, and the popup window disappears when the user slides away from the matching word; the detailed information of the optimal ticket combined information and the matching process log of the matching words are placed in a preset document, the document is started when a user clicks the matching words, so that the user can check the detailed information of the optimal ticket information, and simultaneously, the process log of the matching words matched with the optimal ticket information is checked, so that the user can correct matching error places, follow-up operation and maintenance personnel can update an accurate word bank according to the correction information of a plurality of users, the matching accuracy of the tourism related document and the optimal ticket combined information is guaranteed, and the user experience is improved.
As shown in fig. 2, the present invention further provides an intelligent ticket recommendation device for tourist attractions, including:
the system comprises a first acquisition module 1, a first storage module and a first display module, wherein the first acquisition module is used for acquiring tourism related documents; wherein, the tourism related documents comprise chatting records, memo records and searching records;
the matching module 2 is used for matching the travel related documents with the accurate words in a preset accurate word bank one by one; wherein the matching is to judge whether an accurate word appears in the travel related document;
the searching module 3 is used for searching a plurality of tourist attractions which are in mapping relation with the accurate words in the accurate word bank when the accurate words appear in the tourist related documents so as to form a tourist attraction set; the accurate word bank is pre-stored with accurate words and tourist attractions which are in mapping relation, and one accurate word is mapped with one or more different tourist attractions;
the extraction module 4 is used for extracting the tourist destinations in the tourist-related documents and extracting the target tourist attractions in the tourist attraction set according to the tourist destinations;
the second acquisition module 5 is used for acquiring the entrance ticket data of the target tourist attraction and matching the best entrance ticket combination information in the entrance ticket data according to the travel attribute of the user;
the establishing module 6 is used for establishing a hyperlink by taking the matching words in the travel related document as a source endpoint and the optimal ticket combination information as a target endpoint; and the matching words are words having a matching relation with the accurate word bank.
In one embodiment, further comprising:
the fuzzy word matching module is used for matching the travel related documents with the fuzzy words in the accurate word bank one by one when the accurate words do not appear in the travel related documents;
the accurate word extraction module is used for extracting a target accurate word corresponding to the fuzzy word when the fuzzy word appears in the travel related document; the accurate word bank is pre-stored with fuzzy words and accurate words in mapping relation, and one accurate word is mapped with one or more different fuzzy words;
the tourist attraction searching module is used for searching a plurality of tourist attractions which are in mapping relation with the target accurate words in the accurate word bank so as to form a tourist attraction set;
a first executing module, configured to execute the steps of extracting the travel destination in the travel-related document and extracting the target travel region in the set of travel regions according to the travel destination;
and the return module is used for returning to the step of acquiring the travel related document when the fuzzy words do not appear in the travel related document.
In one embodiment, further comprising:
the travel destination judging module is used for judging whether the travel destination appears in the travel related document; wherein the destination of the tour is a first-level provincial administrative district or a second-level regional administrative district;
a second executing module, configured to execute the steps of extracting the travel destination from the travel-related document and extracting a target travel region from the set of travel regions according to the travel destination when the travel destination appears in the travel-related document;
the ticket data module is used for acquiring the ticket data of all tourist attractions in the tourist attraction set when the tourist destinations do not appear in the tourist-related document;
the optimal entrance ticket combination information matching module is used for matching the optimal entrance ticket combination information of each tourist attraction in the tourist attraction set according to the travel attribute of the user;
the entrance ticket recommendation set module is used for associating the optimal entrance ticket combination information with the corresponding tourist attraction and inserting the optimal entrance ticket combination information into the tourist attraction set to form an entrance ticket recommendation set;
and the hyperlink module is used for establishing a hyperlink by taking the matching words in the travel related document as a source end point and the ticket recommendation set as a target end point.
In one embodiment, the second obtaining module 5 includes:
the historical trip data acquisition unit is used for acquiring historical trip data of the user; the historical trip data comprises a scenic spot name, payment items in the scenic spot and payment items played by a user;
a historical scenic region extracting unit, which is used for extracting a historical scenic region with the same attribute as the target scenic region and acquiring the name of the historical scenic region, payment items in the historical scenic region and payment items played by the user;
the charging item consumption rate calculating unit is used for calculating the charging item consumption rate of the historical scenic spot and judging whether the charging item consumption rate exceeds a set numerical value or not;
the payment item matching unit is used for matching the entrance ticket combination containing the payment item as the optimal entrance ticket combination information when the consumption rate of the payment item exceeds a set value;
and the optimal entrance ticket combination information unit is used for acquiring entrance tickets of a target tourist attraction according to the travel mode of the user when the charge item consumption rate does not exceed a set value, and taking the entrance tickets as the optimal entrance ticket combination information.
In one embodiment, the best ticket combination information unit includes:
the judgment subunit is used for judging whether the co-workers of the user include the user with the preferential ticket price;
the first matching subunit is used for matching the entrance ticket combination of the target tourist attraction containing the users with the preferential ticket prices according to the number of the users with the preferential ticket prices when the co-workers of the users comprise the users with the preferential ticket prices, and taking the entrance ticket as the optimal entrance ticket combination information;
and the second matching subunit is used for matching the entrance ticket combination of the target tourist attraction with the preference of the double-adult or multi-adult combination when the user with the preferential ticket price is not included in the fellow persons of the user, and taking the entrance ticket as the optimal entrance ticket combination information.
In one embodiment, further comprising:
the data acquisition module is used for acquiring passenger flow data, ticket selling data and ticket releasing data in a set time period in one year in a target tourist attraction;
and the adding module is used for adding the passenger flow volume data, the ticket selling volume data and the ticket placing volume data into the optimal ticket combination information.
In one embodiment, further comprising:
the display module is used for highlighting the matched words and displaying the matched words in green;
the pop-up window module is used for placing the name and the price of the optimal ticket combination information into a preset pop-up window; the popup is displayed when the user slides to the matched word;
the document module is used for placing the detailed information of the optimal entrance ticket combination information and the matching process log of the matching words into a preset document; and the document is started when the user clicks the matching word.
The modules, units and sub-units are all used for executing the steps in the intelligent entrance ticket recommendation method for the tourist attraction correspondingly, and the specific implementation manner of the method is described with reference to the method embodiment and is not described herein again.
As shown in fig. 3, the present invention also provides a computer device, which may be a server, and the internal structure of which may be as shown in fig. 3. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the computer designed processor is used to provide computational and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used for storing all data required by the process of the intelligent ticket recommendation method of the tourist attraction. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a method for intelligent recommendation of tickets for tourist attractions.
Those skilled in the art will appreciate that the architecture shown in fig. 3 is only a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects may be applied.
An embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the method for intelligently recommending entrance tickets in any tourist attraction is implemented.
It will be understood by those skilled in the art that all or part of the processes of the methods of the above embodiments may be implemented by hardware associated with instructions of a computer program, which may be stored on a non-volatile computer-readable storage medium, and when executed, may include processes of the above embodiments of the methods. Any reference to memory, storage, database, or other medium provided herein and used in the examples may include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), double-rate SDRAM (SSRSDRAM), Enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, apparatus, article, or method. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, apparatus, article, or method that includes the element.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. An intelligent entrance ticket recommendation method for tourist attractions is characterized by comprising the following steps:
obtaining a travel related document; wherein, the tourism related documents comprise chatting records, memo records and searching records;
matching the travel related documents with accurate words in a preset accurate word bank one by one; wherein the matching is to judge whether an accurate word appears in the travel related document;
if the accurate words appear in the tourism related documents, searching a plurality of tourist attractions which are in mapping relation with the accurate words in the accurate word bank to form a tourist attraction set; the accurate word bank is pre-stored with accurate words and tourist attractions which are in mapping relation, and one accurate word is mapped with one or more different tourist attractions;
extracting travel destinations in the travel-related documents, and extracting target travel scenic spots in the travel scenic spot set according to the travel destinations;
obtaining entrance ticket data of the target tourist attraction, and matching the best entrance ticket combination information in the entrance ticket data according to the travel attribute of the user;
establishing a hyperlink by taking the matching words in the travel related document as a source endpoint and the optimal ticket combination information as a target endpoint; and the matching words are words having a matching relation with the accurate word bank.
2. The intelligent recommendation method for entrance tickets in tourist attractions according to claim 1, characterized in that the tourism related documents are matched with the precise words in a preset precise word bank one by one; wherein, after the step of judging whether the travel-related document has the accurate word, the matching further comprises:
if the precise words do not appear in the travel related documents, matching the travel related documents with the fuzzy words in the precise word bank one by one;
if the fuzzy words appear in the travel related document, extracting target accurate words corresponding to the fuzzy words; the accurate word bank is pre-stored with fuzzy words and accurate words in mapping relation, and one accurate word is mapped with one or more different fuzzy words;
searching a plurality of tourist attractions in a mapping relation with the target accurate words in the accurate word bank to form a tourist attraction set;
executing the steps of extracting the travel destination in the travel-related document and extracting the target travel region in the travel region set according to the travel destination;
and if the fuzzy words do not appear in the travel related document, returning to the step of acquiring the travel related document.
3. The intelligent tourist attraction ticket recommendation method of claim 1, wherein said step of extracting tourist destinations in said tourist-related document and extracting target tourist attractions in said collection of tourist attractions based on said tourist destinations further comprises:
judging whether the travel destination appears in the travel related document; wherein the destination of the tour is a first-level provincial administrative district or a second-level regional administrative district;
if the tourist destination appears in the tourist-related document, executing the steps of extracting the tourist destination in the tourist-related document and extracting a target tourist attraction in the tourist attraction set according to the tourist destination;
if the tourist destination does not appear in the tourist-related document, acquiring entrance ticket data of all tourist attractions in the tourist attraction set;
matching the optimal entrance ticket combination information of each tourist attraction in the tourist attraction set according to the travel attribute of the user;
associating the optimal entrance ticket combination information with the corresponding tourist attraction and inserting the optimal entrance ticket combination information into the tourist attraction set to form an entrance ticket recommendation set;
and establishing a hyperlink by taking the matching words in the travel related document as a source endpoint and the ticket recommendation set as a target endpoint.
4. The intelligent recommendation method for entrance tickets in tourist attraction according to claim 1, wherein said step of matching the best entrance ticket combination information in said entrance ticket data according to the user's travel attributes comprises:
acquiring historical travel data of a user; the historical trip data comprises a scenic spot name, payment items in the scenic spot and payment items played by a user;
extracting a historical scenic spot with the same attribute as the target scenic spot, and acquiring a historical scenic spot name, payment items in the historical scenic spot and payment items played by a user;
calculating the charge item consumption rate of the historical scenic spot, and judging whether the charge item consumption rate exceeds a set numerical value or not;
if the charge rate of the payment item exceeds a set value, matching the entrance ticket combination containing the payment item as the optimal entrance ticket combination information;
and if the charge rate of the payment project does not exceed a set value, obtaining an entrance ticket of a target tourist attraction according to a travel mode of the user, and taking the entrance ticket as the optimal entrance ticket combination information.
5. The intelligent recommendation method for entrance tickets in tourist attraction according to claim 4, wherein the step of obtaining entrance tickets in target tourist attraction according to the travel mode of user and using the entrance tickets as the best entrance ticket combination information comprises:
judging whether the co-workers of the user include the user with the preferential ticket price;
if the peers of the users include users with preferential fares, matching the entrance ticket combination of the target tourist attraction containing the users with the preferential fares according to the number of the users with the preferential fares, and taking the entrance ticket as the optimal entrance ticket combination information;
and if the fellow people of the users do not comprise the users with preferential ticket prices, matching the ticket combination of the target tourist attraction with the double-adult or multi-adult combination preference, and taking the ticket as the optimal ticket combination information.
6. The intelligent recommendation method for entrance tickets in tourist attraction according to claim 1, wherein after the steps of obtaining entrance ticket data of the target tourist attraction and matching the best entrance ticket combination information in the entrance ticket data according to the user's travel attributes, further comprising:
acquiring passenger flow data, ticket selling data and ticket releasing data in a set time period of one year in a target tourist attraction;
and adding the passenger flow data, the ticket selling data and the ticket placing data into the optimal ticket combination information.
7. The intelligent ticket recommendation method for tourist attractions of claim 1 wherein the step of establishing hyperlinks using the matching words in the travel related document as source endpoints and the best ticket combination information as target endpoints further comprises:
highlighting and displaying the matched words in green;
placing the name and the price of the optimal ticket combination information in a preset popup window; the popup is displayed when the user slides to the matched word;
placing the detailed information of the optimal ticket combination information and the matching process log of the matching words in a preset document; and the document is started when the user clicks the matching word.
8. The utility model provides a ticket intelligence recommendation device in tourist attraction which characterized in that includes:
the first acquisition module is used for acquiring a travel related document; wherein, the tourism related documents comprise chatting records, memo records and searching records;
the matching module is used for matching the travel related documents with the accurate words in a preset accurate word bank one by one; wherein the matching is to judge whether an accurate word appears in the travel related document;
the searching module is used for searching a plurality of tourist attractions which are in mapping relation with the accurate words in the accurate word bank when the accurate words appear in the tourist related documents so as to form a tourist attraction set; the accurate word bank is pre-stored with accurate words and tourist attractions which are in mapping relation, and one accurate word is mapped with one or more different tourist attractions;
the extraction module is used for extracting the tourist destinations in the tourist-related documents and extracting target tourist attractions in the tourist attraction set according to the tourist destinations;
the second acquisition module is used for acquiring the entrance ticket data of the target tourist attraction and matching the optimal entrance ticket combination information in the entrance ticket data according to the travel attribute of the user;
the establishing module is used for establishing a hyperlink by taking the matching words in the travel related document as a source endpoint and the optimal ticket combination information as a target endpoint; and the matching words are words having a matching relation with the accurate word bank.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
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