CN104537070A - Method and equipment for mining tourism destination attractions - Google Patents
Method and equipment for mining tourism destination attractions Download PDFInfo
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Abstract
The invention discloses a method and equipment for mining tourism destination attractions. The method comprises the steps that departure places and destination attractions related in touring articles are identified; the departure places and the destination attractions related in the same touring article are recorded in a related mode; a detailed list of the destination attractions related to an appointed departure place is systemized. Some destination attractions can be filtered out according to some preset rules. Attraction recommendation indexes can be set for the attractions respectively according to the preset rules so that the attractions which are worth adding to the detailed list of the attractions can be selected conveniently or selection can be facilitated for a user. In addition, the equipment can respond to a search request about, for instance, periphery tourism of the user, identify the appointed departure place and correspondingly provide the systemized detailed list of the attractions for the user. Accordingly, the method and equipment can mine the fact that in the past, where people ever go on a tour from the appointed departure places in the mass touring articles and can mine some quality destination attractions worth recommending to other users with the fact as the basis.
Description
Technical field
The present invention relates to internet arena, particularly excavate the method and apparatus at tourist famous-city sight spot.
Background technology
The demand of people to tourism is more and more vigorous.When people want to go on a tour, first need to determine tourist famous-city.
Correspondingly, each tourist attractions are also constantly perfect.Meanwhile, new tourist attractions also constantly develop.People often do not understand the present situation of each tourist attractions, are therefore often difficult to decision and where travel, even do not know and can where travel.
Some tour sites acquire the information of a large amount of tourist attractions.User can input some conditions on website, time of such as going on a tour, distance, sight spot type etc.Then the database that website can arrange according to oneself recommends tourist attractions to user.
But on the one hand, the collection of the information of these tourist attractions and arrangement need a large amount of artificial; On the other hand, some parameters of artificial setting here (such as sight spot is popular degree, recommend index etc.) arrange based on the experience of staff and impression, likely departs from experience and the impression of actual visitor.
Therefore, people can search for more by search engine the travel information that forefathers provide on the net, and such as travel notes, tourism attack strategy etc., also comprise the relevant information (these can be referred to as " tourism article ") that tour site provides certainly.People expect the sight spot determining oneself to want by browsing retrieved related web page or article.
In fact, in a search engine, user also occupies a very large ratio really for the search need of tourism.But in the epoch of this information explosion, even if by using search engine, the getable tourism article of institute is also very numerous and diverse.User needs a large amount of readings and reprocessing, could determine the sight spot oneself wanted.This will waste time and energy.
User is when searching for the information that tourism is correlated with, and different user types has much different demands.Analyze from search inquiry (Query), have a class user very not clear and definite for will where travel, such as: this kind of user can search for " 11 is where joyful " or " place what Hangzhou periphery has joyful ".
Traditional search engines, by providing syndicate structured data, can meet the conventional requirement of user.But for the indefinite user's request of this intention above, although conventional search gives some travelling pages, for user, had too much information, and user is also difficult to obtain high-quality content from relevant information, and carries out decision-making.
Therefore, a kind of method and apparatus can recommending the tourist attractions of high-quality for user is needed.
Summary of the invention
A technical matters to be solved by this invention is to provide a kind of method and apparatus excavating tourist famous-city sight spot, and it can excavate the tourist attractions of high-quality voluntarily.
According to an aspect of the present invention, provide a kind of method excavating tourist famous-city sight spot, comprising: identify the departure place and sight spot, destination that relate in tourism article; Associatedly record the departure place and sight spot, destination that relate in same section tourism article; And for appointment departure place, arrange the sight spot inventory (also can be called " sight spot, destination inventory ") at the sight spot, destination associated with it.
Thus, previous people can be excavated from each appointment departure place from the tourism article of magnanimity, all once where play, and excavate some high-qualitys on this basis, the sight spot, destination that is worth recommending other users.
Preferably, identify that the step at departure place and the sight spot, destination related in tourism article comprises: retrieve the tourism article of specifying departure place to be departure place; For retrieved each section tourism article, determine its sight spot, destination.
Like this, tourism article can be analyzed more targetedly, improve the efficiency of analysis.
Preferably, the method can also comprise: the distance between filtering and departure place is greater than the sight spot, destination of the first predetermined threshold; And/or the distance between filtering and departure place is less than the sight spot, destination of the second predetermined threshold; And/or filtering belongs to the sight spot, destination in city, place, departure place; And/or the sight spot, destination on the blacklist of filtering sight spot.
By performing sight spot filtering operation, sight spot inventory more targetedly can be prepared, thus more be convenient to user and select.
Preferably, the method can also comprise: the variation tendency of passing in time according to the popular index at sight spot, destination, the popular degree at sight spot, destination and user are at least one item in the operation active degree at sight spot, destination, for the purpose of sight spot recommending scenery spot index is set, wherein, in the step arranging sight spot inventory, arrange sight spot inventory based on recommending scenery spot index.
Like this, sight spot inventory can be arranged based on recommending scenery spot index, so that selective value must arrange the sight spot, destination in the inventory of sight spot, or be convenient to user's selection.
In addition, in the step arranging sight spot inventory, can also in the inventory of sight spot the variation tendency at correspondingly sight spot, adding purpose ground.
Like this, contribute to user and select sight spot according to the variation tendency of popular degree.
Preferably, the popular index at sight spot, destination is in the quantity of the searched page pageview based on sight spot, destination, the volumes of searches for sight spot, destination and the tourism article using sight spot, destination as destination at least one and arranges.
Preferably, searched page pageview, volumes of searches and variation tendency are obtained by the search daily record analyzing search website; Operation active degree opens up than obtaining with point based on the click volume of the page relevant to sight spot, destination.
Preferably, the method can also comprise: in response to the searching request comprising the tourism Feature Words representing periphery tour purpose from client, determines to specify departure place; And provide sight spot inventory to client.
Thus, in response to the searching request of user, tourist attractions can be recommended to user more efficiently.User can be selected easily.
Preferably, determine to specify the step of departure place to comprise: in searching request, search departure place; If when not finding departure place in searching request, the region, client place of user being appointed as and specifying departure place; When finding departure place in searching request, from searching request, extract departure place, and using region, place, departure place as appointment departure place.
According to another aspect of the present invention, provide a kind of equipment excavating tourist famous-city sight spot, comprising: recognition device, for identifying the departure place and sight spot, destination that relate in tourism article; Pen recorder, for associatedly recording the departure place and sight spot, destination that relate in same section tourism article; And collating unit, for for appointment departure place, arrange the sight spot inventory at the sight spot, destination associated with it.
Preferably, recognition device comprises: indexing unit, for retrieving the tourism article of specifying departure place to be departure place; Determining device, for retrieved each section tourism article, determines its sight spot, destination.
Preferably, this equipment can also comprise: the first filtering device, is greater than the sight spot, destination of the first predetermined threshold for the distance between filtering and departure place; And/or second filtering device, the sight spot, destination of the second predetermined threshold is less than for the distance between filtering and departure place; And/or the 3rd filtering device, the sight spot, destination in city, place, departure place is belonged to for filtering; And/or the 4th filtering device, the sight spot, destination on the blacklist of filtering sight spot.
Preferably, this equipment can also comprise: index setting device, for the variation tendency of passing in time according to the popular index at sight spot, destination, the popular degree at sight spot, destination and user at least one item in the operation active degree at sight spot, destination, for the purpose of sight spot recommending scenery spot index is set, wherein, collating unit arranges sight spot inventory based on recommending scenery spot index.
Preferably, collating unit can also in the inventory of sight spot adding purpose ground sight spot variation tendency.
Preferably, this equipment can also comprise: departure place determining device, in response to the searching request comprising the tourism Feature Words representing periphery tour purpose from client, determines to specify departure place; And sight spot list providing apparatus, for providing sight spot inventory to client.
Preferably, departure place determining device comprises: search device, for searching departure place in searching request; Specified device, for when not finding departure place in searching request, being appointed as the region, client place of user and specifying departure place; Extraction element, for finding departure place in searching request, extracts departure place from searching request, and using region, place, departure place as appointment departure place.
Thus, previous people can be excavated from each appointment departure place from the tourism article of magnanimity, all once where play, and excavate some high-qualitys on this basis, the sight spot, destination that is worth recommending other users.
Accompanying drawing explanation
In conjunction with the drawings disclosure illustrative embodiments is described in more detail, above-mentioned and other object of the present disclosure, Characteristics and advantages will become more obvious, wherein, in disclosure illustrative embodiments, identical reference number represents same parts usually.
Fig. 1 is the indicative flowchart of the method at excavation tourist famous-city sight spot according to an embodiment of the invention.
Fig. 2 is the process flow diagram of the sub-step that step S100 shown in Fig. 1 can comprise.
Fig. 3 is the indicative flowchart of the method at excavation tourist famous-city sight spot according to modified embodiment of the present invention.
Fig. 4 is the indicative flowchart of the method by recommend tourist famous-city sight spot to user with client communication.
Fig. 5 is a kind of indicative flowchart that can be used for determining the method for specifying departure place.
Fig. 6 is the schematic block diagram of the equipment at excavation tourist famous-city sight spot according to an embodiment of the invention.
Fig. 7 is the schematic block diagram of the optional built structure of recognition device 100 shown in Fig. 6.
Fig. 8 is the schematic block diagram of the equipment at excavation tourist famous-city sight spot according to modified embodiment of the present invention.
Fig. 9 is the schematic block diagram of the optional built structure of filtering device 300 shown in Fig. 8.
Figure 10 is the schematic block diagram of the equipment by recommend tourist famous-city sight spot to user with client communication.
Figure 11 is the schematic block diagram of the optional built structure of departure place determining device 600 in Figure 10.
Embodiment
Below with reference to accompanying drawings preferred implementation of the present disclosure is described in more detail.Although show preferred implementation of the present disclosure in accompanying drawing, but should be appreciated that, the disclosure can be realized in a variety of manners and not should limit by the embodiment of setting forth here.On the contrary, provide these embodiments to be to make the disclosure more thorough and complete, and the scope of the present disclosure intactly can be conveyed to those skilled in the art.
Fig. 1 is the indicative flowchart of the method at excavation tourist famous-city sight spot according to an embodiment of the invention.
First, in step S100, identify the departure place and sight spot, destination that relate in tourism article.
Internet has the tourism article of magnanimity, namely relevant with tourism article, the various travel notes that such as visitor user writes and tourism attack strategy, also have the tour schedule introduction etc. that tour site provides.
These travel article, particularly travel notes and tourism attack strategys, describe the tourist attractions that people once went.By analyzing article of travelling in a large number, the tourism experience of a large number of users can be understood, thus determine the most recommendable sight spot.
Then, in step S200, associatedly record the departure place and sight spot, destination that relate in same section tourism article, thus the relation that is associated between departure place and sight spot, destination.
Like this, in step S500, just for appointment departure place, the sight spot inventory at the sight spot, destination associated with it can be arranged.Sight spot inventory can be arranged respectively for multiple or all departure places, also can as required only to more specific arrangement sight spot, departure place inventories.
By method as shown in Figure 1, the tourist attractions inventory recommended to user can be ready for.
In the step s 100, can analyze the tourism article of magnanimity, to identify corresponding departure place and sight spot, destination simultaneously.Can obtain sight spot, the destination inventory that each departure place involved in magnanimity tourism article is corresponding like this, information is very comprehensive.But cost may expend the longer time to carry out so comprehensive analysis.
Consider this point, starting point can be specified to carry out analysis operation targetedly to one or several, significantly can promote the efficiency that tourism article is analyzed like this.
Fig. 2 shows a kind of possible implementation of step S100.
In step S110, retrieve the tourism article of specifying departure place to be departure place.
Here, specify departure place can be big city, or densely populated place, or by what analyze that search website daily record obtains, region comparatively is frequently searched for travel information.
Then, in step S120, for retrieved each section tourism article, determine its sight spot, destination.
Like this, tourism article can be analyzed more targetedly, improve the efficiency of analysis.
Can specify departure place to several, such as, Beijing, Shanghai, Guangzhou, Hangzhou etc., carry out respectively retrieving and analyzing, determine respectively and record the destination sight spot corresponding with these cities, thus can put corresponding sight spot, destination inventory respectively in order.
By above with reference to the method shown in Fig. 1 and Fig. 2, previous people can be excavated specify departure place from certain from the tourism article of magnanimity, all once where played, and excavate the sight spot, destination that some can recommend other users on this basis, thus can recommend more rationally for user, the sight spot, destination of more high-quality.
The method of a modified embodiment is described below with reference to Fig. 3.By the method for modified embodiment, can from find out the sight spot being more worth recommending user the sight spot, a large amount of destination of excavating.
Fig. 3 is the indicative flowchart of the method at excavation tourist famous-city sight spot according to modified embodiment of the present invention.
The same with the method shown in Fig. 1, first, in step S100, identify the departure place and sight spot, destination that relate in tourism article.Then, in step S200, associatedly record the departure place and sight spot, destination that relate in same section tourism article, thus the relation that is associated between departure place and sight spot, destination.
Then, in step S300, can as required, sight spot, filtering part destination.
Such as, hope for user arrange periphery trip recommend sight spot time, the distance between filtering and departure place can be greater than the sight spot, destination of the first predetermined threshold.Like this, can the sight spot, destination of filtering long-distance traveling.First predetermined threshold can rule of thumb be arranged, and also can be determined by the distance analyzed between a large amount of departure place and sight spot, destination.
Or, hope be user arrange the sight spot with departure place with certain distance time, the distance between filtering and departure place can be less than the sight spot, destination of the second predetermined threshold.Like this, can the sight spot, destination of filtering jaunt.Second predetermined threshold also can rule of thumb be arranged, and also can be determined by the distance analyzed between a large amount of departure place and sight spot, destination.
Or, hope be user arrange outside city, place, departure place sight spot time, filtering can belong to the sight spot, destination in city, place, departure place.
Or, sight spot blacklist can also be set, like this, can sight spot, destination on the blacklist of filtering sight spot.Sight spot blacklist or can require arrange according to various needs, or also can feed back and arrange by analyzing tourism article and/or collecting visitor.
The mode at sight spot, above-mentioned several filtering destination only can perform wherein one, also can in conjunction with wherein several perform.
By performing sight spot filtering operation, sight spot inventory more targetedly can be prepared, thus more be convenient to user and select.
In addition, in step S400, the variation tendency can also passed in time according to the popular degree at the popular index at sight spot, destination, sight spot, destination and user at least one item in the operation active degree at sight spot, destination, for the purpose of sight spot recommending scenery spot index is set.
Recommending scenery spot index such as can calculate as follows.
The popular index at sight spot, hypothesis goal ground is Y1, the variation tendency that the popular degree at sight spot, destination is passed in time is Y2, user is for operation active degree (the sight spot concern liveness at sight spot, destination, namely user is for the operation behavior active degree at this sight spot) be Y3, then the recommending scenery spot index at this sight spot, destination is Z:
Z＝Y1＊Y2＊Y3。
The popular index Y1 at sight spot, destination can based on the searched page pageview (PV) at sight spot, destination, for sight spot, destination volumes of searches (temperature at sight spot can be embodied) and arrange using sight spot, destination as at least one item in the quantity of the tourism article at sight spot of playing.Here, searched page pageview and volumes of searches can be obtained by the search daily record analyzing search website.
Such as, if the search PV at certain sight spot is x1, volumes of searches for sight spot, destination is x2, and using sight spot, destination as the quantity (number of, lines that sight spot covers) of the tourism article at sight spot of playing, for x3, then the popular index at sight spot, destination can be Y1:
Y1＝a1＊x1+a2＊x2+a3＊x3，
Wherein a1, a2, a3 are the weight of each feature, and these weights can be trained by training data and be obtained.
The variation tendency Y2 that the popular degree at sight spot, destination is passed in time can obtain by analyzing the search daily record of search website.Variation tendency Y2 such as can embody sight spot, destination comparatively popular in which in month, and more not concerned in which in month.
Operation active degree Y3 can open up ratio etc. based on the click volume of the page relevant to sight spot, destination and point and obtain.
Like this, in step S500, sight spot inventory can be arranged based on recommending scenery spot index.
Such as, several the highest sight spots, destination of recommending scenery spot index can be listed in the inventory of sight spot, or also can list the destination sight spot of recommending scenery spot index higher than predetermined threshold in the inventory of sight spot.
As mentioned above, the parameters that can be used for calculating recommending scenery spot index respectively can from the popular degree at different embodiment sight spots, aspect, which the most worth recommendation in sight spot the recommending scenery spot index so calculated comprehensively can embody by many factors, takes second place in which sight spot.
By arranging sight spot inventory based on the recommending scenery spot index so calculated, more recommendable sight spot can be arranged in the inventory of sight spot, thus can to user recommend more high-quality, sight spot, more recommendable destination.
In addition, in step S500, can also in the inventory of sight spot the popular degree variation tendency of passing in time at correspondingly sight spot, adding purpose ground.Like this, contribute to user and select sight spot according to the variation tendency of the popular degree at sight spot, destination.
The operation carrying out sight spot, step S300 filtering part destination before step S400 arranges recommending scenery spot exponential sum step S500 arrangement sight spot, destination inventory has been shown in Fig. 3.
But it should be understood that above-mentioned steps order can change, above-mentioned filtering operation also after arranging recommending scenery spot index, or can perform after the inventory of arrangement sight spot, destination.
On the other hand, when performing above-mentioned multinomial filtering operation, the execution time of each filtering operation also can be different.Such as, a filtering operation can be performed (such as before recommending scenery spot index is set, filtering distance is greater than the sight spot, destination of the first predetermined threshold), another filtering operation is performed (such as after recommending scenery spot index is set, filtering distance is less than the sight spot, destination of the second predetermined threshold), and another filtering operation (sight spot, destination such as, on the blacklist of filtering sight spot) is performed again after the inventory of arrangement sight spot, destination.
In addition, illustrated in Fig. 3 that before step S500 arranges sight spot, destination inventory, perform step S400 arranges recommending scenery spot index.
But, also it should be understood that above-mentioned steps order also can change, after putting sight spot, destination inventory in order, again recommending scenery spot index can be set for the sight spot in the inventory of sight spot.
In method above referring to figs. 1 to Fig. 3 description, can not need to carry out alternately with client.In other words, in order to improve the speed of user search, said method can be performed at server end in advance, thus getting out sight spot, the destination inventory for some appointment departure places.When user searches in client executing, ready sight spot inventory can be provided directly to user, and the operation such as the departure place need not started anew in execution identification tourism article and sight spot, destination, associated record, arrangement sight spot inventory.
When only having sight spot, the destination inventory when the appointment departure place searched for for user that server is not prepared in advance, just start anew to perform the operation of Fig. 1 or Fig. 3 in response to the searching request of user.
Like this, both can reduce the search stand-by period of user, also can reduce the operand of server.
Below, be described with reference to Figure 4 user when searching for tourism route by client, recommend the method at sight spot, destination to user.
Fig. 4 is the indicative flowchart of the method by recommend tourist famous-city sight spot to user with client communication.
User after client inputted search inquiry (query) request, word can be cut to the keyword of search inquiry.Then from portmanteau word, remove city, sight spot, temporal characteristics word etc. successively, judge whether remaining word mates with (periphery) tourism demand, namely judge whether cutting in word result the tourism Feature Words having matched and represented periphery tour purpose.
If do not matched, then the method terminates.
If had, then can think, what user sent is likely the searching request excavating the sight spot that can play.Now, method below can be started.
In response to the searching request comprising the tourism Feature Words representing such as periphery tour purpose from client, in step S600, determine to specify departure place.
Fig. 5 shows a kind of process flow diagram that can be used for determining the method for specifying departure place.
First, in step S610, in searching request, search departure place.
Then, can judge whether in searching request, found departure place in step S615.
If found departure place in searching request, such as user's input has been " trip of Hangzhou periphery ", be then accurate demand, in step S620, can extract departure place from searching request, and using extracted region, place, departure place as appointment departure place.
Like this, can directly accurately for user provides sight spot, destination inventory targetedly.Such as, user in following certain period in certain region (such as Hangzhou) work or life, when wishing the short distance periphery tour arranging weekend or little long holidays, can may input such as " trip of Hangzhou periphery ".Like this, can be the periphery tour sight spot inventory of specifying departure place for user provides with Hangzhou, select for it.
If do not find departure place in searching request, such as user's input is " 11 go where to play ", be then Fuzzy Demand, in step S630, can determine region, client place, is then appointed as the region, client place of user and specifies departure place.Such as, client location domain information can be obtained by the IP address of client.
When not comprising departure place in searching request, generally can think, user wishes to leave for tourism from current location.Even likely quite a few user gives tacit consent to from this locality, and can not comprise departure place in searching request.
By region, identify customer end place, and in this, as appointment departure place, can in a large number not clearly stating departure place and the user that in fact wishes to leave for from current location tourism provides and serves efficiently, accurately and easily for it provides suitable sight spot, destination inventory to select for it.
Specify departure place can be the region with certain limit, and should be too not meticulous so that be fine to street etc.Particularly by determining that region, place is determined in the IP address of client, thus when determining to specify departure place, can set and specify departure place in comparatively wide in range region.Such as, appointment departure place can be set as Beijing, instead of be set as No. X, X road, X district of Beijing.Be convenient to like this carry out search operaqtion.
After determining appointment departure place, if server has put sight spot, the destination inventory for this appointment departure place in order by the method above shown in Fig. 1 to Fig. 3, then directly can enter step S700, provide corresponding sight spot inventory to client.
If server does not put sight spot, destination inventory in advance in order, then can enter the step S100 in Fig. 1 or Fig. 4, start to identify for the appointment departure place determined in step S600, associated record, sight spot, arrangement destination inventory.Then after step S500 puts sight spot, destination inventory in order, enter step S700, provide put in order sight spot inventory to client.
Thus, in response to the searching request of user, tourist attractions can be recommended to user more efficiently.User can be selected easily.
The method excavating tourist famous-city sight spot is described in detail above with reference to Fig. 1 to Fig. 5.The equipment excavating tourist famous-city sight spot is described below with reference to Fig. 6 to 11.
The function of a lot of devices of equipment described below is identical with the function of the corresponding steps described above with reference to Fig. 1 to 5 respectively.In order to avoid repeating, emphasis describes the apparatus structure that this equipment can have here, then repeats no more for some details, can with reference to corresponding description above.
Fig. 6 is the schematic block diagram of the equipment at excavation tourist famous-city sight spot according to an embodiment of the invention.
As shown in Figure 6, this equipment comprises recognition device 100, pen recorder 200 and collating unit 500.
Recognition device 100 is for identifying the departure place and sight spot, destination that relate in tourism article.
Pen recorder 200 is for associatedly recording the departure place and sight spot, destination that relate in same section tourism article.
Collating unit 500, for for appointment departure place, arranges the sight spot inventory at the sight spot, destination associated with it.
By equipment as shown in Figure 6, the tourist attractions inventory recommended to user can be ready for.
Fig. 7 is the schematic block diagram of the optional built structure of recognition device 100 shown in Fig. 6.
As shown in Figure 7, recognition device 100 can comprise indexing unit 110 and determining device 120.
Indexing unit 110 is for retrieving the tourism article of specifying departure place to be departure place.
Determining device 120, for retrieved each section tourism article, determines its sight spot, destination.
By carrying out retrieval analysis operation for appointment departure place, the efficiency that tourism article is analyzed significantly can be promoted like this.
Fig. 8 is the schematic block diagram of the equipment at excavation tourist famous-city sight spot according to modified embodiment of the present invention.
As shown in Figure 8, the equipment of modified embodiment, except comprising recognition device 100 as above, pen recorder 200 and collating unit 500, can also comprise filtering device 300 and index setting device 400 (also can only include any one in both).
Filtering device 300 can sight spot, the destination of filtering part as required.
Fig. 9 is the schematic block diagram of the optional built structure of filtering device 300 shown in Fig. 8.
As shown in Figure 9, filtering device 300 can comprise one or more in following several filtering device.
First filtering device 310 is greater than the sight spot, destination of the first predetermined threshold for the distance between filtering and departure place.
Second filtering device 320 is less than the sight spot, destination of the second predetermined threshold for the distance between filtering and departure place.
3rd filtering device 330 belongs to the sight spot, destination in city, place, departure place for filtering.
The destination sight spot of 4th filtering device 340 on the blacklist of filtering sight spot.
Return Fig. 8, index setting device 400 for the variation tendency of passing in time according to the popular index at sight spot, destination, the popular degree at sight spot, destination and user at least one item in the operation active degree at sight spot, destination, for the purpose of sight spot recommending scenery spot index is set.
The account form of recommending scenery spot index can see corresponding description above.
Like this, collating unit 500 can arrange sight spot, destination inventory based on recommending scenery spot index.
In addition, collating unit can in the inventory of sight spot adding purpose ground sight spot variation tendency.Like this, contribute to user and select sight spot according to the variation tendency of popular degree.
By the equipment of modified embodiment, can from find out the sight spot being more worth recommending user the sight spot, a large amount of destination of excavating.
The each device above described with reference to figure 6 to Fig. 9 can not need to carry out alternately with client.In other words, in order to improve the speed of user search, in advance when not needing mutual with client, sight spot, the destination inventory for some appointment departure places can be got out.When user searches in client executing, ready sight spot inventory can be provided directly to user, and the operation such as the departure place need not started anew in execution identification tourism article and sight spot, destination, associated record, arrangement sight spot inventory.
When only having sight spot, the destination inventory of the appointment departure place searched for for user that ought not be prepared in advance, just from the beginning start the operation of the device of Fig. 6 to Fig. 9 in response to the searching request of user.
Like this, both can reduce the search stand-by period of user, also can reduce the operand of server.
Figure 10 is the schematic block diagram of the equipment by recommend tourist famous-city sight spot to user with client communication.
This equipment can comprise departure place determining device 600 and sight spot list providing apparatus 700.
Departure place determining device 600, in response to the searching request comprising the tourism Feature Words representing periphery tour purpose from client, is determined to specify departure place.
Figure 11 is the schematic block diagram of the optional built structure of departure place determining device 600 in Figure 10.
As shown in figure 11, departure place determining device 600 can comprise and searches device 610, specified device 620, extraction element 630.
Search device 610 for searching departure place in searching request.
The region, client place of user, for when not finding departure place in searching request, being appointed as and being specified departure place by specified device 620.Such as user's input is " 11 go where to play ", be then Fuzzy Demand, can determine region, client place by specified device 620, is then appointed as the region, client place of user and specifies departure place.Such as, client location domain information can be obtained by the IP address of client.
Extraction element 630 for finding departure place in searching request, from searching request, extract departure place, and using region, place, departure place as appointment departure place.Such as user's input is " trip of Hangzhou periphery ", be then accurate demand, can extract departure place by extraction element 630 from searching request, and using extracted region, place, departure place as appointment departure place.
After determining appointment departure place, if put sight spot, destination inventory in advance in order by the equipment shown in Fig. 6 to Fig. 9, then directly can obtain the sight spot inventory that collating unit 500 is put in order, then be supplied to client by sight spot list providing apparatus 700.
If do not put sight spot, destination inventory in order by the equipment shown in Fig. 6 to Fig. 9 in advance, then can the equipment of calling graph 6 to Fig. 9, to arrange sight spot inventory, and be supplied to sight spot list providing apparatus 700.Then, sight spot list providing apparatus 700 provides sight spot inventory to client.
Thus, in response to the searching request of user, tourist attractions can be recommended to user more efficiently.User can be selected easily.
In addition, a kind of computer program can also be embodied as according to method of the present invention, this computer program comprises computer-readable medium, stores the computer program for performing the above-mentioned functions limited in method of the present invention on the computer-readable medium.Those skilled in the art will also understand is that, may be implemented as electronic hardware, computer software or both combinations in conjunction with various illustrative logical blocks, module, circuit and the algorithm steps described by disclosure herein.
Process flow diagram in accompanying drawing and block diagram show the architectural framework in the cards of the system and method according to multiple embodiment of the present invention, function and operation.In this, each square frame in process flow diagram or block diagram can represent a part for module, program segment or a code, and a part for described module, program segment or code comprises one or more executable instruction for realizing the logic function specified.Also it should be noted that at some as in the realization of replacing, the function marked in square frame also can be different from occurring in sequence of marking in accompanying drawing.Such as, in fact two continuous print square frames can perform substantially concurrently, and they also can perform by contrary order sometimes, and this determines according to involved function.Also it should be noted that, the combination of the square frame in each square frame in block diagram and/or process flow diagram and block diagram and/or process flow diagram, can realize by the special hardware based system of the function put rules into practice or operation, or can realize with the combination of specialized hardware and computer instruction.
Be described above various embodiments of the present invention, above-mentioned explanation is exemplary, and non-exclusive, and be also not limited to disclosed each embodiment.When not departing from the scope and spirit of illustrated each embodiment, many modifications and changes are all apparent for those skilled in the art.The selection of term used herein, is intended to explain best the principle of each embodiment, practical application or the technological improvement to the technology in market, or makes other those of ordinary skill of the art can understand each embodiment disclosed herein.
Claims (16)
1. excavate the method at tourist famous-city sight spot, comprising:
Identify the departure place and sight spot, destination that relate in tourism article;
Associatedly record the departure place and sight spot, destination that relate in same section tourism article; And
For appointment departure place, arrange the sight spot inventory at the sight spot, destination associated with it.
2. method according to claim 1, wherein, the departure place related in described identification tourism article and the step at sight spot, destination comprise:
The tourism article that retrieval is departure place with described appointment departure place;
For retrieved each section tourism article, determine its sight spot, destination.
3. method according to claim 1 and 2, also comprises:
Distance between filtering and departure place is greater than the sight spot, destination of the first predetermined threshold; And/or
Distance between filtering and departure place is less than the sight spot, destination of the second predetermined threshold; And/or
Filtering belongs to the sight spot, destination in city, place, departure place; And/or
Sight spot, destination on the blacklist of filtering sight spot.
4. method according to claim 1 and 2, also comprises:
The variation tendency of passing in time according to the popular index at sight spot, destination, the popular degree at sight spot, destination and user at least one item in the operation active degree at sight spot, destination, for the purpose of sight spot recommending scenery spot index is set;
Wherein, in the step of described arrangement sight spot inventory, arrange described sight spot inventory based on described recommending scenery spot index.
5. method according to claim 4, wherein, the step of described arrangement sight spot inventory comprises:
The described variation tendency at sight spot, described destination is correspondingly added in the inventory of described sight spot.
6. method according to claim 4, wherein,
The popular index at sight spot, described destination is the searched page pageview based on sight spot, described destination, the volumes of searches for sight spot, described destination and arranging using sight spot, described destination as at least one in the quantity of the tourism article at sight spot of playing.
7. method according to claim 6, wherein,
Described searched page pageview, described volumes of searches and described variation tendency are obtained by the search daily record analyzing search website;
Described operation active degree opens up than obtaining with point based on the click volume of the page relevant to sight spot, destination.
8. method according to claim 2, also comprises:
In response to the searching request comprising the tourism Feature Words representing periphery tour purpose from client, determine described appointment departure place; And
Described sight spot inventory is provided to client based on described appointment departure place.
9. method according to claim 8, wherein, describedly determine to specify the step of departure place to comprise:
Departure place is searched in described searching request;
When not finding departure place in described searching request, described appointment departure place is appointed as in the region, client place of user;
When have found described departure place in described searching request, from described searching request, extract described departure place, and using region, place, described departure place as described appointment departure place.
10. excavate the equipment at tourist famous-city sight spot, comprising:
Recognition device, for identifying the departure place and sight spot, destination that relate in tourism article;
Pen recorder, for associatedly recording the departure place and sight spot, destination that relate in same section tourism article; And
Collating unit, for for appointment departure place, arranges the sight spot inventory at the sight spot, destination associated with it.
11. equipment according to claim 10, wherein, described recognition device comprises:
Indexing unit, for the tourism article that to retrieve with described appointment departure place be departure place;
Determining device, for retrieved each section tourism article, determines its sight spot, destination.
12. equipment according to claim 10 or 11, also comprise:
First filtering device, is greater than the sight spot, destination of the first predetermined threshold for the distance between filtering and departure place; And/or
Second filtering device, is less than the sight spot, destination of the second predetermined threshold for the distance between filtering and departure place; And/or
3rd filtering device, belongs to the sight spot, destination in city, place, departure place for filtering; And/or
4th filtering device, the sight spot, destination on the blacklist of filtering sight spot.
13. equipment according to claim 10 or 11, also comprise:
Index setting device, for the variation tendency of passing in time according to the popular index at sight spot, destination, the popular degree at sight spot, destination and user at least one item in the operation active degree at sight spot, destination, for the purpose of sight spot recommending scenery spot index is set
Wherein, described collating unit arranges described sight spot inventory based on described recommending scenery spot index.
14. equipment according to claim 13, wherein, described collating unit also adds the described variation tendency at sight spot, described destination in the inventory of described sight spot.
15. equipment according to claim 11, also comprise:
Departure place determining device, in response to the searching request comprising the tourism Feature Words representing periphery tour purpose from client, determines described appointment departure place; And
Sight spot list providing apparatus, for providing described sight spot inventory to client.
16. equipment according to claim 15, wherein, departure place determining device comprises:
Search device, for searching departure place in described searching request;
Specified device, for when not finding departure place in described searching request, is appointed as described appointment departure place by the region, client place of user;
Extraction element, for finding departure place in described searching request, extracts described departure place from described searching request, and using region, place, described departure place as described appointment departure place.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410841266.9A CN104537070B (en) | 2014-12-29 | 2014-12-29 | The method and apparatus for excavating tourist famous-city sight spot |
| PCT/CN2015/096338 WO2016107371A1 (en) | 2014-12-29 | 2015-12-03 | Method and equipment for searching for tourist destination attractions |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410841266.9A CN104537070B (en) | 2014-12-29 | 2014-12-29 | The method and apparatus for excavating tourist famous-city sight spot |
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| CN104537070B CN104537070B (en) | 2019-07-02 |
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| WO (1) | WO2016107371A1 (en) |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104881472A (en) * | 2015-05-28 | 2015-09-02 | 华南理工大学 | Combined recommendation method of traveling scenic spots based on network data collection |
| CN105574708A (en) * | 2015-12-10 | 2016-05-11 | 北京创鑫旅程网络技术有限公司 | Travel route planning method and apparatus |
| WO2016107371A1 (en) * | 2014-12-29 | 2016-07-07 | 广州神马移动信息科技有限公司 | Method and equipment for searching for tourist destination attractions |
| WO2016107417A1 (en) * | 2014-12-29 | 2016-07-07 | 广州神马移动信息科技有限公司 | Method and device for exploiting travel route on basis of tourist destination area |
| CN106599092A (en) * | 2016-11-24 | 2017-04-26 | 宇龙计算机通信科技(深圳)有限公司 | Method and device for recommending tourist attractions |
| WO2017127998A1 (en) * | 2016-01-25 | 2017-08-03 | 常平 | Method for generating navigation map according to travel guide, and route planning system |
| WO2017127997A1 (en) * | 2016-01-25 | 2017-08-03 | 常平 | Method for pushing information when generating navigation route map, and route planning system |
| WO2017127999A1 (en) * | 2016-01-25 | 2017-08-03 | 常平 | Data acquisition method during navigation road map generation, and route planning system |
| CN109255006A (en) * | 2018-09-27 | 2019-01-22 | 广州力挚网络科技有限公司 | A kind of hot spot display methods and device |
| CN109523288A (en) * | 2017-09-19 | 2019-03-26 | 富士施乐株式会社 | Information processing unit |
| CN109558545A (en) * | 2019-01-07 | 2019-04-02 | 北京三快在线科技有限公司 | Information recommendation method, device, electronic equipment and readable storage medium storing program for executing |
| TWI775305B (en) * | 2021-02-04 | 2022-08-21 | 康沛科技股份有限公司 | Insurance product filtering system and insurance product filtering method |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110019201B (en) * | 2017-10-09 | 2023-03-07 | 阿里巴巴集团控股有限公司 | Method, device and system for generating structured data |
| CN113112058B (en) * | 2021-03-30 | 2023-07-18 | 西安理工大学 | Tourism route recommendation method based on knowledge graph and ant colony algorithm |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101738188A (en) * | 2008-11-27 | 2010-06-16 | 财团法人资讯工业策进会 | Device and method for recommending scenery spot |
| CN103020254A (en) * | 2012-12-20 | 2013-04-03 | 北京趣拿信息技术有限公司 | Information recommending method and device |
| CN103020308A (en) * | 2013-01-07 | 2013-04-03 | 北京趣拿软件科技有限公司 | Method and device for recommending travel strategy project |
| CN103049481A (en) * | 2012-11-29 | 2013-04-17 | 百度在线网络技术（北京）有限公司 | Searching method and searching device |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8014914B2 (en) * | 2008-12-05 | 2011-09-06 | International Business Machines Corporation | Energy and emission responsive routing for vehicles |
| CN101763611A (en) * | 2009-12-18 | 2010-06-30 | 北京邮电大学 | Intelligent tour schedule planning system based on wideband network |
| CN104537070B (en) * | 2014-12-29 | 2019-07-02 | 广州神马移动信息科技有限公司 | The method and apparatus for excavating tourist famous-city sight spot |
-
2014
- 2014-12-29 CN CN201410841266.9A patent/CN104537070B/en active Active
-
2015
- 2015-12-03 WO PCT/CN2015/096338 patent/WO2016107371A1/en active Application Filing
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101738188A (en) * | 2008-11-27 | 2010-06-16 | 财团法人资讯工业策进会 | Device and method for recommending scenery spot |
| CN103049481A (en) * | 2012-11-29 | 2013-04-17 | 百度在线网络技术（北京）有限公司 | Searching method and searching device |
| CN103020254A (en) * | 2012-12-20 | 2013-04-03 | 北京趣拿信息技术有限公司 | Information recommending method and device |
| CN103020308A (en) * | 2013-01-07 | 2013-04-03 | 北京趣拿软件科技有限公司 | Method and device for recommending travel strategy project |
Non-Patent Citations (1)
| Title |
|---|
| 卢昕: "基于用户生成数据的旅游路线规划", 《中国优秀硕士学位论文全文数据库》 * |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2016107371A1 (en) * | 2014-12-29 | 2016-07-07 | 广州神马移动信息科技有限公司 | Method and equipment for searching for tourist destination attractions |
| WO2016107417A1 (en) * | 2014-12-29 | 2016-07-07 | 广州神马移动信息科技有限公司 | Method and device for exploiting travel route on basis of tourist destination area |
| CN104881472A (en) * | 2015-05-28 | 2015-09-02 | 华南理工大学 | Combined recommendation method of traveling scenic spots based on network data collection |
| CN104881472B (en) * | 2015-05-28 | 2018-09-14 | 华南理工大学 | A kind of travelling route sight spot combined recommendation method based on network data collection |
| CN105574708A (en) * | 2015-12-10 | 2016-05-11 | 北京创鑫旅程网络技术有限公司 | Travel route planning method and apparatus |
| WO2017127997A1 (en) * | 2016-01-25 | 2017-08-03 | 常平 | Method for pushing information when generating navigation route map, and route planning system |
| WO2017127998A1 (en) * | 2016-01-25 | 2017-08-03 | 常平 | Method for generating navigation map according to travel guide, and route planning system |
| WO2017127999A1 (en) * | 2016-01-25 | 2017-08-03 | 常平 | Data acquisition method during navigation road map generation, and route planning system |
| CN106599092A (en) * | 2016-11-24 | 2017-04-26 | 宇龙计算机通信科技(深圳)有限公司 | Method and device for recommending tourist attractions |
| CN109523288A (en) * | 2017-09-19 | 2019-03-26 | 富士施乐株式会社 | Information processing unit |
| CN109255006A (en) * | 2018-09-27 | 2019-01-22 | 广州力挚网络科技有限公司 | A kind of hot spot display methods and device |
| CN109558545A (en) * | 2019-01-07 | 2019-04-02 | 北京三快在线科技有限公司 | Information recommendation method, device, electronic equipment and readable storage medium storing program for executing |
| TWI775305B (en) * | 2021-02-04 | 2022-08-21 | 康沛科技股份有限公司 | Insurance product filtering system and insurance product filtering method |
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| Publication number | Publication date |
|---|---|
| WO2016107371A1 (en) | 2016-07-07 |
| CN104537070B (en) | 2019-07-02 |
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