CN103077489A - Prediction method of random demands of tourist user - Google Patents
Prediction method of random demands of tourist user Download PDFInfo
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- CN103077489A CN103077489A CN2013100222002A CN201310022200A CN103077489A CN 103077489 A CN103077489 A CN 103077489A CN 2013100222002 A CN2013100222002 A CN 2013100222002A CN 201310022200 A CN201310022200 A CN 201310022200A CN 103077489 A CN103077489 A CN 103077489A
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Abstract
The invention relates to a prediction method of random demands of a tourist user. The prediction method is used for predicting the random demands of the user through acquiring basic information, comprising time and places randomly demanded by the user, of the user, predicting the random demands of the user through four tuples, namely, time, places, demand names and historical demand frequency and predicting the random demands of the user according to the historical demand frequency after acquiring the basic information of the user, wherein with high historical demand frequency, the random demands of the user in the time and at the place are most possibly the demands in the four tuples, and after the random demands of the user are predicted, a system can provide related demand service suitable for the random demands of the user according to the predicted random demands of the user, so that the random demands of the user in the tourist can be effectively met and the tourist quality is ensured.
Description
Technical field
The present invention is about a kind of estimation method of the user's request of travelling, particularly relevant for a kind of estimation method of the user's random demand of travelling.
Background technology
In the prior art, the most users stroke list that the preferential selection of meeting needs oneself when tourism, perhaps oneself is put the stroke list in order in advance, perhaps download the stroke list that oneself needs from the Internet, but still more beyond thought demands can appear in the reality tourism, these demands not necessarily are arranged in the stroke list, also do not have at present good solution for the random demand of user in tourism process.
Summary of the invention
For the problems referred to above, the invention provides a kind of estimation method of the user's of tourism random demand, comprise following steps:
S1: the essential information that gathers the user;
S2: the random demand of inferring the user;
S3: recommend the relevant service of random demand;
At first system acquisition user's essential information comprises time, place, then infers user's random demand according to the user basic information that collects, and the user's random demand that goes out is by inference at last recommended the service relevant with random demand.
According to the estimation method of above-mentioned tourism user random demand, step S1 gathers user's essential information by the key word of user's input.
According to the estimation method of above-mentioned tourism user random demand, step S1 is by user's voice-enabled chat information acquisition user's essential information.
According to the estimation method of above-mentioned tourism user random demand, the described place of user basic information is user's position coordinates among the step S1, perhaps is the regional extent at user place.
Estimation method according to above-mentioned tourism user random demand, step S2 is by setting up four-tuple＜time, the place, the demand title, historical demand number of times〉infer user's random demand, after gathering user basic information according to four-tuple in historical demand number of times infer user's random demand, historical demand number of times is more, the random demand of user in this this place of time just more may be the demand in this four-tuple.
The present invention is about a kind of estimation method of the user's random demand of travelling, infer user's random demand by the essential information that gathers the user, essential information comprises the time of user's random demand, the place, pass through four-tuple＜time according to the essential information that gathers, the place, the demand title, historical demand number of times〉infer user's random demand, after gathering user basic information according to four-tuple in historical demand number of times infer user's random demand, historical demand number of times is more, the random demand of user in this this place of time just more may be the demand in this four-tuple, infer after the random demand that the user that user's random demand that system can go out by inference provides to be fit to the relevant Demand and service of user's random demand, can the random demand of to satisfy effectively user in tourism, guarantee the tourism quality.
Description of drawings
Fig. 1 is the estimation method process flow diagram of tourism user random demand provided by the invention.
Embodiment
For making purpose of the present invention, feature and function thereof there are further understanding, hereby cooperate embodiment to be described in detail as follows.
Participate in Fig. 1, Fig. 1 is the estimation method process flow diagram of tourism user random demand provided by the invention, the invention provides a kind of estimation method of the user's of tourism random demand, comprises following steps:
S1: the essential information that gathers the user;
S2: the random demand of inferring the user;
S3: recommend the relevant service of random demand; At first system acquisition user's essential information comprises time, place, then infers user's random demand according to the user basic information that collects, and the user's random demand that goes out is by inference at last recommended the service relevant with random demand.Random demand is user's demand outside the stroke list in the travelling process, the random demand that the when and where supposition user of demand is arranged by gathering the user, acquisition time, place are the tourism demand that is more suitable for the user in order to provide, and recommend to be fit to the service of user's request according to time, place, time morning, noon and afternoon that season, one day were arranged such as the time that gathers, to recommend more to be fit to the service of user's request according to temporal information, be fit to the Yangcheng Lake steamed crab in autumn such as the city, Suzhou.
Further, step S1 gathers user's essential information by the key word of user's input, and the user can input demand information by text box, and with its essential information of apprizing system, essential information comprises the when and where that the user has random demand.
Further, step S1 determines user's random demand by user's voice-enabled chat information, system acquisition user's oral chat message, such as, collect the user and in the chat message in Suzhou, comprise " ten two point ", " Ping Jianglu " etc., can determine the when and where at user place.
Further, the described place of user basic information is user's position coordinates among the step S1, perhaps is the regional extent at user place, and the fundamental purpose of this step is for according to the user present position, and just proximad the user recommends the service of random demand.
Step S2 is by setting up four-tuple＜time, the place, the demand title, historical demand number of times〉infer user's random demand, after gathering user basic information according to four-tuple in historical demand number of times infer user's random demand, historical demand number of times is more, the random demand of user in this this place of time just more may be the demand in this four-tuple, illustrate, such as two four-tuple＜noon 12:00, Suzhou Ping Jianglu are arranged, have a meal, 100,000 times 〉,＜noon 12:00, Suzhou Ping Jianglu, Deng public transport, 60,000 times 〉, then system the essential information that gathers the user be noon 12:00 and the Pingjiang River, Suzhou road after, search relevant four-tuple, and the demand in the four-tuple that historical demand number of times is maximum is as user's random demand here and now, therefore, in this example, the user is " having a meal " in the random demand of the Pingjiang River, Suzhou road 12:00 at noon.
After inferring the random demand that the user, user's random demand that system goes out by inference provides relative service, is " eating " and " living ", then nearest restaurant and the hotel of systematic search if infer the random demand that the user; If collecting simultaneously the time period that the user proposes demand is November, the place is Suzhou since Suzhou November be the optimum season of eating the Yangcheng Lake steamed crab, near then can enough authentic Yangcheng Lake steamed crab the system recommendation user restaurant; Be " traffic " if infer the random demand that the user, then according to user present position coordinate provide the nearest public transport stop board of user or beat the place, perhaps provide go to the railway station, long-distance bus station, airport call a taxi a little eaily; Be " buying special product " if infer the random demand that the user, then provide the user nearest special product brand shop according to user present position coordinate and time, perhaps nearest should season special product brand shop.
The user is after the random demand of determining system recommendation is the required demand of user, but active upload is to server, so that the historical demand number of times of this demand of system statistics, in addition, also can and upload onto the server by guide's statistics, the statistics of perhaps passing through near shop is investigated is as historical demand number of times, and particularly, statistical method the present invention of historical demand number of times does not limit.
The present invention is about a kind of estimation method of the user's random demand of travelling, infer user's random demand by the essential information that gathers the user, essential information comprises the time of user's random demand, the place, pass through four-tuple＜time according to the essential information that gathers, the place, the demand title, historical demand number of times〉infer user's random demand, after gathering user basic information according to four-tuple in historical demand number of times infer user's random demand, historical demand number of times is more, the random demand of user in this this place of time just more may be the demand in this four-tuple, infer after the random demand that the user that user's random demand that system can go out by inference provides to be fit to the relevant Demand and service of user's random demand, can the random demand of to satisfy effectively user in tourism, guarantee the tourism quality.
The present invention is described by above-mentioned related embodiment, yet above-described embodiment is only for implementing example of the present invention.Must be pointed out that, the embodiment that has disclosed does not limit the scope of the invention.On the contrary, the change of doing without departing from the spirit and scope of the present invention and retouching all belong to scope of patent protection of the present invention.
Claims (5)
1. the estimation method of user's random demand of travelling is characterized in that, the estimation method of this tourism user random demand comprises following steps:
S1: the essential information that gathers the user;
S2: the random demand of inferring the user;
S3: recommend the relevant service of random demand;
At first system acquisition user's essential information comprises time, place, then infers user's random demand according to the user basic information that collects, and the user's random demand that goes out is by inference at last recommended the service relevant with random demand.
2. the estimation method of tourism user random demand according to claim 1 is characterized in that, step S1 gathers user's essential information by the key word of user's input.
3. the estimation method of tourism user random demand according to claim 1 is characterized in that, step S1 is by user's voice-enabled chat information acquisition user's essential information.
4. the estimation method of tourism user random demand according to claim 1 is characterized in that, the described place of user basic information is user's position coordinates among the step S1, perhaps is the regional extent at user place.
5. the estimation method of tourism according to claim 1 user random demand, it is characterized in that, step S2 is by setting up four-tuple＜time, the place, demand title, historical demand number of times〉infer user's random demand, after gathering user basic information according to four-tuple in historical demand number of times infer user's random demand, historical demand number of times is more, and the random demand of user in this this place of time just more may be the demand in this four-tuple.
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| CN103257990A (en) * | 2013-01-25 | 2013-08-21 | 苏州海客科技有限公司 | Method for conjecturing random demands of tourists |
| CN103390031A (en) * | 2013-07-01 | 2013-11-13 | 招商银行股份有限公司 | Intelligent recommending method and device |
| CN104765770A (en) * | 2015-03-10 | 2015-07-08 | 北京智慧图科技有限责任公司 | Map providing method and device |
| CN106600090A (en) * | 2015-10-16 | 2017-04-26 | 阿里巴巴集团控股有限公司 | Association information estimation method and apparatus and association information usage method and apparatus for service |
| CN106886911A (en) * | 2015-12-15 | 2017-06-23 | 亿阳信通股份有限公司 | A kind of travelling products method and device for planning based on user's telecommunications behavioural characteristic |
| CN107679934A (en) * | 2017-08-31 | 2018-02-09 | 北京锋景卓越科技有限公司 | A kind of travel information method for pushing and server |
| US10246799B2 (en) | 2014-09-17 | 2019-04-02 | Sk Chemicals Co., Ltd. | Polylactic acid resin composition for 3D printing |
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Application publication date: 20130501 |