CN102937954A - One-stop type travel information searching method - Google Patents
One-stop type travel information searching method Download PDFInfo
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- CN102937954A CN102937954A CN2011102340502A CN201110234050A CN102937954A CN 102937954 A CN102937954 A CN 102937954A CN 2011102340502 A CN2011102340502 A CN 2011102340502A CN 201110234050 A CN201110234050 A CN 201110234050A CN 102937954 A CN102937954 A CN 102937954A
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Abstract
The invention relates to a one-stop type travel information searching method which is characterized by comprising the following steps: firstly, enabling users to input destination nouns through a transmission medium; secondly, transmitting the destination nouns to a program server for Chinese word segmentation analyzing; thirdly, enabling the program server to transmit the destination nouns to a user behavior analysis server to analyze the previous searching habits and behaviors of users; and finally, drawing relative recommending information from a data base server and recommending the information to the users according to the results provided by the program server and the user behavior analysis server. Therefore, by performing effective Chinese word segmentation analyzing on the destination nouns input by the users, and simultaneously providing the most humanized travel information searching by matching with the user behavior analysis server, the problem of inaccurate user searching information is solved. Further, relative recommending information can be drawn from the data base server and returned back to the users, relative repeated searching of the users can be avoided, and the optimal one-stop service can be achieved.
Description
Technical field
The present invention relates to a kind of searching method, relate in particular to a kind of one-stop travel information searching method.
Background technology
With regard to existing tourism internet hunt present situation, when you will arrive the somewhere and play, you at first needed to do following homework, and 1, by what mode of transportation, need to look for relevant website to go to search ticket booking after deciding.2, arrive the destination and stayed in the there, needed to look for corresponding hotel reservation after deciding.3, how to play to a strange city, how the time distributes, and weather how, is question mark at heart entirely.4, what the characteristic snack of destination is, or question mark.A trip friend will all carry out these homework, will spend at least 1 to 2 day time, can recognize what program, and everyone can have difference.
For one-stop tourism search, its need to satisfy following some, 1, search technique will be arranged, this respect can with the search engine companies cooperation, also can study voluntarily; 2, rich in natural resources will be arranged, not have resource not satisfy user's request, obtain the resource of getting off from network, infringement or flow freely imported other website is done bottom drawer to others.Google, such major company of Baidu have search technique, look for some tour site cooperations, just can realize.But the fusion of this search engine and tour site needs the more cooperation of the degree of depth, and not simple cooperation can be finished, and degree of depth cooperation will occur in the company of any two different ownership, all is difficult.
The advantage of one-stop tourism search clearly just faces various difficult problems at present, implements relatively difficulty.Take current several Internet firms as example, analyze lower which company and possess the strength of doing " one-stop tourism search ".Traditional search engine companies is to be difficult to do one-stop tourism search such as Google, Baidu at present, and they do not have resource, the accumulation of not tourism aspect user data yet; See now whether the large online tourism website of other a few family can realize.
Further, in existing GT grand touring website: only have often the minor resources such as hotel, air ticket, travel in holiday, and be the website of traditional type, for search technique without the accumulation (such as taking journey, the predicament that the skill dragon is the same with taking journey, and each side does not also dare to take journey).For where going to this website, seem and can realize, have search technique, but do not grasp resource, be difficult to the analysis user behavior, do not accomplish the one-stop tourism function of search of intelligence.
Summary of the invention
Purpose of the present invention is exactly in order to solve the above-mentioned problems in the prior art, and a kind of one-stop travel information searching method is provided.
Purpose of the present invention is achieved through the following technical solutions:
One-stop travel information searching method, it may further comprise the steps: step 1., the user is by transmission medium input destination noun; Step 2., described destination noun imports the procedure service device into, carries out Chinese word segmentation and resolves;
Step 3., described procedure service device sends to the user behavior analysis server with the destination noun, analysis user search custom and behavior in the past;
4. step according to the result that procedure service device and user behavior analysis server are provided, is extracted associated recommendation information and is returned the user from database server.
Above-mentioned one-stop travel information searching method, wherein: step 2. described Chinese word segmentation resolving is that the procedure service device imports the Chinese word segmentation server with the destination noun; Described Chinese word segmentation server is analyzed the destination noun; Whether described analysis comprises the part of speech of word, the search rate of word, the cutting of word, neologisms
Further, above-mentioned one-stop travel information searching method, wherein: described user behavior analysis server is according to the destination noun of user search, and in conjunction with the search custom of existing other search subscriber, the behavior that provides is recommended.Specifically, mainly refer to be accustomed to according to user search in the past, draw the purpose of this user search, and recommend.
Further, above-mentioned one-stop travel information searching method, wherein: described step is appended tourism as attached search word behind the destination noun in 1., and 4. step appends the tourist attractions information that the destination noun interrelates in the recommendation information.
Further, above-mentioned one-stop travel information searching method, wherein: described recommendation information comprises destination brief introduction, ticket information, transport information, lodging information, sight spot information, performance information, the tourist service information that is complementary with the destination noun.
Further, above-mentioned one-stop travel information searching method, wherein: described user behavior analysis server adopts the K-means algorithm.
Again further, above-mentioned one-stop travel information searching method, wherein: step 2. described destination noun transfers to the Chinese word segmentation server, carries out Chinese word segmentation and resolves.
The advantage of technical solution of the present invention is mainly reflected in: carry out effective Chinese word segmentation by the destination noun to user's input and resolve, cooperate simultaneously the user behavior analysis server to provide the travel information search of the most hommization, solve the inaccurate problem of user search information.Simultaneously, can extract associated recommendation information from database server and return the user, the repeat search of avoiding the user to be correlated with has been accomplished best one-stop service.
Description of drawings
Purpose of the present invention, advantage and disadvantage will be for illustration and explanation by the non-limitative illustration of following preferred embodiment.These embodiment only are the prominent examples of using technical solution of the present invention, and all technical schemes of taking to be equal to replacement or equivalent transformation and forming all drop within the scope of protection of present invention.In the middle of these accompanying drawings,
Fig. 1 is the enforcement schematic diagram of this one-stop travel information searching method;
The computing schematic diagram of Fig. 2 K-means algorithm.
The implication of each Reference numeral is as follows among the figure.
Embodiment
One-stop travel information searching method as shown in Figure 1 and Figure 2, its special feature is may further comprise the steps: at first, the user is by transmission medium input destination noun.Then, the destination noun imports procedure service device 1 into, carries out Chinese word segmentation and resolves.The treatment capacity of considering Chinese word segmentation parsing needs is large, in order to promote treatment effeciency, the destination noun can be transferred to Chinese word segmentation server 4, carries out Chinese word segmentation and resolves.
Then, procedure service device 1 sends to user behavior analysis server 2 with the destination noun, analysis user search custom and behavior in the past.At last, according to the result that procedure service device 1 and user behavior analysis server 2 are provided, from database server 3, extract associated recommendation information and return the user.
With regard to the better embodiment of the present invention one, the Chinese word segmentation resolving that the present invention adopts is that procedure service device 1 imports Chinese word segmentation server 4 with the destination noun.Meanwhile, 4 pairs of destination nouns of Chinese word segmentation server are analyzed.Certainly, for the specific aim of Realization analysis, adopt to analyze the part of speech that comprises word, the search rate of word, the cutting of word, whether neologisms.
Further, in order to provide humanized result, user behavior analysis server 2 is according to the destination noun of user search, and in conjunction with the search custom of existing other search subscriber, the behavior that provides is recommended.Specifically, this behavior is recommended: mainly refer to be accustomed to according to user search in the past, draw the purpose of this user search, and recommend.And in conjunction with practical application, under non-logging status, the behavior that the user obtains recommends accuracy lower, can only be according to the existing cookie of user, and the simple information such as city, place, IP address are analyzed.Correspondence is with it, and the user can obtain user search history under logging status, recommend according to specifying informations such as search histories, and accuracy is higher.
And, consider that the user realizes Optimizing Search, if the user appends tourism as attached search word behind the noun of destination, then can correspondingly append the tourist attractions information that the destination noun interrelates in the recommendation information, be convenient to user's reference.
Again further, for much information is provided, is convenient to the user and comprises destination brief introduction, ticket information, transport information, lodging information, sight spot information, performance information, the tourist service information that is complementary with the destination noun with reference to the recommendation information that adopts.Specifically, be Beijing such as the destination noun of user search, the information after then extracting in the database server 3 is as follows: Shanghai is to Beijing air ticket; Shanghai is to Beijing train ticket; Hotel, Beijing; Sight spot, Beijing admission ticket; Perform in the recent period in Beijing; The service of cars on hire of Beijing area; Beijing self-service trip, with group's trip, the periphery trip waits circuit; The recent weather forecast in Beijing; Beijing achievement; The Beijing city brief introduction.Like this, be accompanied by user's the click of choosing, can better understand the information that oneself needs.
In conjunction with actual operating position of the present invention, user behavior analysis server 2 adopts the K-means algorithm among the present invention.Specifically, this K-means algorithm be in the data mining technology based on a Classic Clustering Algorithms of disintegrating method, because of its theoretical reliable, algorithm is simple, fast convergence rate is widely used.And, the thought that the K-means algorithm adopts iteration to upgrade, select at first randomly K object initially represent cluster or bunch the center, again each remaining object is assigned to nearest bunch according to itself and each bunch centre distance again with it, then recomputates the center of each bunch as the cluster centre of next iteration.Consider the facility of algorithm, the K value is 8.Afterwards, constantly repeat this process, until each cluster centre stops when no longer changing, namely as shown in Figure 2.
Can find out by above-mentioned character express, after adopting the present invention, carry out effective Chinese word segmentation by the destination noun to user's input and resolve, cooperate simultaneously the user behavior analysis server to provide the travel information search of the most hommization, solve the inaccurate problem of user search information.Simultaneously, can extract associated recommendation information from database server and return the user, the repeat search of avoiding the user to be correlated with has been accomplished best one-stop service.
Claims (7)
1. one-stop travel information searching method is characterized in that may further comprise the steps:
Step 1., the user is by transmission medium input destination noun;
Step 2., described destination noun imports the procedure service device into, carries out Chinese word segmentation and resolves;
Step 3., described procedure service device sends to the user behavior analysis server with the destination noun, analysis user search custom and behavior in the past;
4. step according to the result that procedure service device and user behavior analysis server are provided, is extracted associated recommendation information and is returned the user from database server.
2. one-stop travel information searching method according to claim 1 is characterized in that: step 2. described Chinese word segmentation resolving is that the procedure service device imports the Chinese word segmentation server with the destination noun; Described Chinese word segmentation server is analyzed the destination noun; Whether described analysis comprises the part of speech of word, the search rate of word, the cutting of word, neologisms.
3. one-stop travel information searching method according to claim 1, it is characterized in that: described user behavior analysis server is according to the destination noun of user search, search custom in conjunction with existing other search subscriber draws the purpose of this user search, and recommends.
4. one-stop travel information searching method according to claim 1 is characterized in that: described step is appended tourism as attached search word behind the noun of destination in 1., and 4. step appends the tourist attractions information that the destination noun interrelates in the recommendation information.
5. one-stop travel information searching method according to claim 1, it is characterized in that: described recommendation information comprises destination brief introduction, ticket information, transport information, lodging information, sight spot information, performance information, the tourist service information that is complementary with the destination noun.
6. one-stop travel information searching method according to claim 1 is characterized in that: described user behavior analysis server employing K-means algorithm.
7. one-stop travel information searching method according to claim 1 is characterized in that: step 2. described destination noun transfers to the Chinese word segmentation server, carries out Chinese word segmentation and resolves.
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| CN103914554A (en) * | 2014-04-14 | 2014-07-09 | 百度在线网络技术（北京）有限公司 | Search recommendation method and search recommendation device |
| CN106202355A (en) * | 2016-07-05 | 2016-12-07 | 百度在线网络技术（北京）有限公司 | Weather service based on search engine recommends method, device and search engine |
| CN106407181A (en) * | 2016-09-07 | 2017-02-15 | 大地风景（武汉）信息技术有限公司 | Semantic association analysis method and system of data in tourist destination |
| CN107851110A (en) * | 2015-07-09 | 2018-03-27 | 歌乐株式会社 | Information processor and information presentation system |
| CN108153814A (en) * | 2017-11-28 | 2018-06-12 | 北京趣拿软件科技有限公司 | Information-pushing method and device |
| CN108268559A (en) * | 2017-01-04 | 2018-07-10 | 阿里巴巴集团控股有限公司 | Information providing method and device based on ticketing service search |
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Application publication date: 20130220 |