CN101763611A - Intelligent tour schedule planning system based on wideband network - Google Patents
Intelligent tour schedule planning system based on wideband network Download PDFInfo
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Abstract
The invention provides an intelligent tour schedule planning system based on wideband network, wherein the system is based on huge tourist destination information banks, tourist businesses and product information banks, and adopts intelligent retrieval and matching technologies according to the characteristics of users, market hot spots, the data mining and classification result of tourism products and conditions such as destinations of users, time and budget to satisfy user demands. The invention provides a solution for the intellectualization and individuation of digital tourism service and has high practical value.
Description
Technical field
The invention belongs to the travel information field, be specifically related to integrated multiple technologies,, realize intelligent tour schedule planning based on broadband network as database technology, data mining technology, Fat Client technology, vertical search technology etc.
Background technology
Tour site fast development along with the digitized development of tourist industry, tour schedule planning service becomes a service of each big tour site indispensability as a critical services of tourist industry.As take journey travelling net (http://www.ctrip.com/), travel network (http://www.lotour.com/), happy way, gold trip refined way net (http://www.yahtourcom/hxzn/xcsj.php), old China hand with travel network (http://www.51766.com/) etc., all provide related service to the user.The function that this class stroke planning service realizes is: provide the planning list to the user, fill in planning key word (as departure place, destination, hourage, travelling budget etc.) by the user; The planning list that system fills in according to the user according to certain logic, algorithm searching database, obtains and exports program results; The program results that the user checks and oneself need to select.
The major defect of existing these tour schedule planning systems is, the program results that system provides all is the details of the travelling products that provided by mechanisms such as travel agencies, as the sight spot of visiting on the way, the hotel of lodging etc., finish by travel agency planning, the user generally can't participate in to these contents planning, determine.Because causes such as business partnerships, each web station system all only provides the tourism route information of the travel agency that cooperative relationship is arranged with it, and can not obtain the planning information data more widely, for the user provides more, more fully compares and selection.
The intelligent tour schedule planning system that the present invention proposes based on broadband network, multiple technologies such as integrated data base, data mining, Fat Client, vertical search, based on huge travel information storehouse, data mining and classification results according to user characteristics, market focus, travelling products, according to the condition that the user proposes, produce the intelligent tour schedule planning of satisfying customer requirements.
Summary of the invention
Intelligent tour schedule planning based on broadband network proposed by the invention, be based on huge travel purpose ground information bank, tourist enterprise and product information storehouse, according to user characteristics, market focus, the data mining of travelling products and classification results, adopt intelligent retrieval and matching technique, according to customer objective ground, time, conditions such as budget, the tour schedule planning of customer requirements is satisfied in generation, and integrated use location-based service, Geographic Information System, database, model bank, technology such as knowledge base, multiple analysis is provided, prediction, decision-making technique is supported intellectual analysis and decision-making that the qualitative and quantitative analysis combines.
For achieving the above object, as shown in Figure 1, technical scheme of the present invention is divided into three one-level functional modules, three subfunction modules; Technical scheme of the present invention is divided into following several basic function flow process:
1. the user selects COS (finished product planning, self-service planning, finished product search);
2. the user fills in and submits to the route planning demand;
3. system provides different services (finished product planning, self-service planning, finished product search) according to user's selection and user's request;
4. system exports program results for user's selection to the user;
5. systematic collection and preserve that the user browses, the data of selection schemer carries out data mining according to these data.
The present invention has following technical characterictics:
(1) the described three kinds of different COS of step 1 adopt database technology and data mining technology, Fat Client technology, vertical search technology respectively, and integrated different technological means and functional sequence are for the user provides different tour schedule planning services;
(2) the described route planning demand of step 2 mainly comprises departure place, destination, departure time, return trip time, travelling number, travelling budget, mode of transportation, lodging rank, sight spot key word etc.; Different tour schedule planning services can be deleted to some extent;
(3) the described different services of step 3 are system's different COS according to user's selection in the step 1, and route of user planning demand is committed to different system's background function modules, by corresponding functional modules data are read, handle;
(4) the described program results of step 4 is meant on different COS, different planning demand, different service process basis, to user's program results output, that meet consolidation form;
(5) the described user of step 5 browses the data of route, selection schemer, is meant the log record data that the user clicks, selects or check the program results of system's output; This part data all can be collected by system process, is kept in the database after handling through format, carries out data mining for system and uses.
The present invention proposes a kind of intelligent tour schedule planning system based on broadband network, this Systems Theory and technology are high-new, can satisfy all kinds of demands that planning is served to tour schedule on the tourist market, and very high using value is arranged; And the conceptual design of relevant issues and algorithm selected to have certain directive significance.
Description of drawings
Fig. 1 is system basic functions Module Division figure;
Fig. 2 is an intelligent processing module basic function process flow diagram;
Fig. 3 is a finished product route planning submodule basic function process flow diagram;
Fig. 4 is self-service route planning submodule basic function process flow diagram;
Fig. 5 is finished product route search submodule basic function process flow diagram.
Embodiment
For making purpose of the present invention, technical scheme and advantage clearer, below with reference to accompanying drawing and give an actual example the present invention is done explanation in further detail.The system platform that the present invention realizes adopts .NET (C#) platform.
1. system basic functions Module Division
The subscriber information management module realizes following major function:
● User login, registration;
● management, the maintenance of UUI user-to-user information (as user real identification, contact method etc.);
● the keeper is to management, the maintenance of user account, user profile;
● storage, maintenance customer's information database, for intelligent processing module provides the data support.
Intelligent processing module is realized following major function:
● according to the data of user's using system, intelligence in digging system relation is as the correlation rule between user's characteristic information and the tourism route etc.;
● according to intelligence relation, the program results of stroke planning module is carried out Intelligent treatment.
The stroke planning Module Division is three subfunction modules, realizes following major function respectively:
● finished product route planning submodule: according to user's planning demand, retrieval tourist enterprise and product information storehouse therefrom obtain tour schedule programme path information, and program results is carried out Intelligent treatment and exports to the user;
● self-service route planning submodule: according to user's planning demand, retrieval travel purpose ground information bank, but utilizing interaction platform of result for retrieval framework, the user finishes self-service stroke planning on this platform.
● finished product route search submodule: according to user's planning demand, the webpage of tour site grasps the route stroke planning information on the webpage on the retrieval internet, handles rear line output through format.
The basic function flow process of each functional module is respectively as Fig. 2, Fig. 3, Fig. 4, shown in Figure 5.
2. intelligent processing module basic function flow process
The function of this module comprises: maintenance, management data mining data storehouse; Use intelligent algorithm it is carried out data mining; The intelligence relation that utilization obtains is handled stroke route etc.
The data storage that comprises the intelligence relation is in " Relational database " shown in Figure 2.The database that the present invention is used for data mining comprises and data such as concerns between user's characteristic information (as user preferences, user's income, user's educational level equality) and tourism route relation, the tourism route.The present invention adopts the improvement algorithm of Apriori algorithm, based on Relational database related data is carried out association rule mining, draw the correlation rule between user characteristics and tourism route or the tourism route, and these correlation rules are deposited in the association rule database, system carries out Intelligent treatment to it when carrying out stroke planning for the user.
Use for the correlation rule that is excavated among the present invention, be meant that mainly the correlation rule preliminary planning result that retrieval obtains to system according to coupling processes, puts in order, as according to " matching degree " between user shown in the correlation rule and the route, route is recommended, sorted, or highly interested in the user according to correlation rule, but the route that first planning does not draw replenishes etc.
3. finished product route planning submodule basic function flow process
The major function that this submodule is realized comprises: according to the planning list that the user fills in, and organizing search logic, sql command, retrieval finished product route data storehouse draws the preliminary planning result; Calling the intelligent processing module correlation function processes, puts in order the preliminary planning result; Export intelligent program results to the user, and respective perimeter information etc. is provided; Need in addition to collect feedback data for intelligent processing module.
The user carries out tour schedule planning, all multiple objective programming demands such as the sight spot type of need to consider such as destination, hourage (departure time, return trip time), travelling budget (traffic budget, lodging budget, shopping budget, admission ticket budget etc.), wanting to visit, sight spot key word; System collects after these demands by the planning list, according to certain with or logical organization sql command statement, when inserting a plurality of sight spots key word as the user, get between each key word " or " logic, generally get between the different planning demands " with " logic; System carries out sql command, and reading of data from finished product route data storehouse draws the preliminary planning result.
On the basis that draws the preliminary planning result, system call intelligent processing module function, according to correlation rule to the tourism route among the preliminary planning result augment, recommend, ordering etc.; As the preliminary planning result being sorted according to the correlation rule between user preferences, user characteristics etc. and the tourism route, select the route of system recommendation, perhaps the preliminary planning result is augmented etc. according to the correlation rule between tourism route and the tourism route, draw intelligent program results, program results and route peripheral information are exported to the user.
In addition, system also needs the requirement according to association rule mining, the data of collecting, putting user's using system in order, planning, as the final route information of selecting of user, the route information that the user paid close attention to etc., deposit it in association rule mining Relational database, use for the intelligent processing module correlation function.
4. self-service route planning submodule basic function flow process
The major function that this module realizes comprises: according to the fundamental plan demand, and as travel purpose ground, tourist attractions etc., retrieval destination sight spot information, and according to these information organization interaction platforms; The user finishes interactive operation and draws after the program results, the output program results; For intelligent processing module is collected feedback data.
In the self-service route planning, the planning demand that the user need submit to does not need in the route planning of picture finished product so detailed, and basic demand only need be provided, as travel purpose ground, sight spot type, sight spot key word etc., other demand is held when the self-service programme path voluntarily by the user; The fundamental plan demand that system is submitted to according to the user, according to certain with or logical organization sql command statement, from the sight spot information database, obtain corresponding sight spot, and sight spot information be encapsulated in the interaction platform.
In this interaction platform, the user can view the detailed information at each sight spot intuitively, clearly, as position, sight spot, sight spot expense, sight spot type, sight spot brief introduction, points for attention etc., and the sight spot peripheral information, as hotel, traffic, shopping etc.; The user can be fully autonomous carry out interactive operation, the route details of planning tour schedule.After the user finished self-service stroke planning, system exported user self-help route planning result to the user; And according to the requirement of association rule mining, collect, arrangement user using system, the data planned, deposit in the Relational database, use for intelligent processing module.
5. the finished product route is searched for submodule basic function flow process
The major function that this module realizes has: start spiders according to user's planning demand, obtain webpage by reptile from the internet; From webpage, grasp the stroke planning route information, information is done format handle, and export to the user; In addition, the user browses, the information of selection schemer for intelligent processing module is collected, in order to the usefulness of association rule mining.
In the search of finished product route, the stroke planning demand that the user submits to will be submitted to spiders; Reptile is from the predetermined tour site URL of several systems, plans that according to the user demand submits request of data (HttpRequest) to tour site, and obtains the return data (HttpResponse) of website.The tabulation of these return datas tour schedule programme path that to be tour sites draw according to user's request.Spiders extracts the URL of programme path details page from return data, and obtains the page data of programme path details page according to these URL.
The full details information that includes the tour schedule programme path from the page data that the programme path details page is obtained is as departure place, destination, departure time, omnidistance time, sight spot, traffic and lodging, route quotation etc. on the way.Because the website using systematic comparison that domestic technique is ripe is few, the present invention adopts template level data extractive technique, the different template of webpage customization at different web sites, the detail data of the programme path details page extracting data programme path that obtains from reptile according to this template, and it is formatd processing, export to the user.
After user's output route information, finished product route search submodule can be collected equally, put the information that the user browsed, paid close attention to tourism route in order, and deposits it in Relational database, carries out data mining for intelligent processing module and uses.
Claims (6)
1. based on the intelligent tour schedule planning system of broadband network, it is characterized in that this method comprises:
The user selects COS (finished product planning, self-service planning, finished product search);
The user fills in and submits to the route planning demand;
System is selected according to the user and user's request provides different services (finished product planning, self-service planning, finished product search);
System exports program results to the user and selects for the user;
Systematic collection also preserves that the user browses, the data of selection schemer, carries out data mining according to these data.
2. method according to claim 1 is characterized in that, system provides three kinds of different COS, and these three kinds of COS adopt different technological means and functional sequence, for the user provides different tour schedule planning services.
3. method according to claim 1 is characterized in that, the route planning demand mainly comprises departure place, destination, departure time, return trip time, travelling number, travelling budget, mode of transportation, lodging rank, sight spot key word etc.; At different tour schedule planning services, the planning demand can be deleted to some extent.
4. method according to claim 1, it is characterized in that, system is committed to different system's background function modules according to the different COS that user in the claim 1 selects with route of user planning demand, by corresponding functional modules data is read, handles.
5. method according to claim 1 is characterized in that, different COS, different planning demands, different service processes, and the program results of exporting to the user meets unified format.
6. method according to claim 1, it is characterized in that, the user browses the data of route, selection schemer, the log record data of the program results of system output being clicked, being selected or checks as the user, the capital is collected by system process, through being kept in the database after the format processing, carrying out data mining for system and use.
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Cited By (26)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102937954A (en) * | 2011-08-16 | 2013-02-20 | 同程网络科技股份有限公司 | One-stop type travel information searching method |
| CN102968749A (en) * | 2012-10-31 | 2013-03-13 | 福州正泰轻工制品有限公司 | Tour self service and interaction system |
| 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 |
| CN103065272A (en) * | 2012-12-14 | 2013-04-24 | 苏州海客科技有限公司 | Travel itinerary integration method |
| CN104331850A (en) * | 2014-11-27 | 2015-02-04 | 苏州市享乐惠信息科技有限公司 | Multifunctional itinerary customizing system |
| CN104376517A (en) * | 2014-12-17 | 2015-02-25 | 常熟市虞城国际旅行社有限公司 | Tourism product quotation system |
| CN104598602A (en) * | 2015-01-27 | 2015-05-06 | 百度在线网络技术（北京）有限公司 | Scene-based information recommendation method realized through computer and device |
| CN104679802A (en) * | 2013-11-28 | 2015-06-03 | 财团法人资讯工业策进会 | Travel planning device and travel planning method |
| CN104965883A (en) * | 2015-06-15 | 2015-10-07 | 海南大学 | Individualized travel information screening method matching user characteristics |
| CN105023047A (en) * | 2014-04-15 | 2015-11-04 | 上海莫言信息科技有限公司 | Tourism service individuation online ordering realization method based on travel itinerary |
| CN105303487A (en) * | 2015-10-27 | 2016-02-03 | 北京妙计科技有限公司 | Method and device of travel service |
| 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 |
| CN105761175A (en) * | 2016-01-29 | 2016-07-13 | 柳明 | Tour route customization method and server |
| CN106204126A (en) * | 2016-07-06 | 2016-12-07 | 邵斐 | Client and data processing method |
| CN106372131A (en) * | 2016-08-25 | 2017-02-01 | 广西小草信息产业有限责任公司 | Travel information processing system and processing method |
| WO2017020811A1 (en) * | 2015-08-02 | 2017-02-09 | Chi Him Wong | Personalized travel planning and guidance system |
| CN106407252A (en) * | 2016-08-23 | 2017-02-15 | 平安科技（深圳）有限公司 | Tourist route planning method and server |
| CN106447547A (en) * | 2016-11-01 | 2017-02-22 | 合肥华贝信息科技有限公司 | Intelligent tourism platform and running method |
| CN104089620B (en) * | 2014-04-04 | 2018-02-09 | 昆山颠峰云智网络科技股份有限公司 | A kind of automatic route planning method and its system based on data analysis |
| CN107771340A (en) * | 2015-08-20 | 2018-03-06 | 沈基平 | Custom Prosthesis service provider system and method for traveller |
| CN107845021A (en) * | 2017-10-27 | 2018-03-27 | 广西小草信息产业有限责任公司 | A kind of network platform travelling products marketing system |
| CN107862420A (en) * | 2017-12-13 | 2018-03-30 | 广东机场白云信息科技有限公司 | Intelligent stroke planning method and system |
| CN108810060A (en) * | 2017-05-05 | 2018-11-13 | 阿里巴巴集团控股有限公司 | Offer, reception, user's polymerization, server and the client of business information |
| CN109829120A (en) * | 2019-03-05 | 2019-05-31 | 西安外事学院 | A kind of Tourism Information Applying System |
| TWI672651B (en) * | 2016-11-15 | 2019-09-21 | 馥鈺科技股份有限公司 | Method of trip planning |
| CN112465276A (en) * | 2021-01-28 | 2021-03-09 | 湖南惠旅云网络科技有限公司 | Method for automatically generating scenic spot playing recommended route |
-
2009
- 2009-12-18 CN CN200910242548A patent/CN101763611A/en active Pending
Cited By (31)
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| CN102937954A (en) * | 2011-08-16 | 2013-02-20 | 同程网络科技股份有限公司 | One-stop type travel information searching method |
| CN102968749A (en) * | 2012-10-31 | 2013-03-13 | 福州正泰轻工制品有限公司 | Tour self service and interaction system |
| CN103065272A (en) * | 2012-12-14 | 2013-04-24 | 苏州海客科技有限公司 | Travel itinerary integration method |
| 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 |
| CN104679802A (en) * | 2013-11-28 | 2015-06-03 | 财团法人资讯工业策进会 | Travel planning device and travel planning method |
| CN104089620B (en) * | 2014-04-04 | 2018-02-09 | 昆山颠峰云智网络科技股份有限公司 | A kind of automatic route planning method and its system based on data analysis |
| CN105023047A (en) * | 2014-04-15 | 2015-11-04 | 上海莫言信息科技有限公司 | Tourism service individuation online ordering realization method based on travel itinerary |
| CN104331850A (en) * | 2014-11-27 | 2015-02-04 | 苏州市享乐惠信息科技有限公司 | Multifunctional itinerary customizing system |
| CN104376517A (en) * | 2014-12-17 | 2015-02-25 | 常熟市虞城国际旅行社有限公司 | Tourism product quotation system |
| 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 |
| CN104598602A (en) * | 2015-01-27 | 2015-05-06 | 百度在线网络技术（北京）有限公司 | Scene-based information recommendation method realized through computer and device |
| CN104598602B (en) * | 2015-01-27 | 2019-04-26 | 百度在线网络技术（北京）有限公司 | Pass through computer implemented information recommendation method and device based on scene |
| CN104965883A (en) * | 2015-06-15 | 2015-10-07 | 海南大学 | Individualized travel information screening method matching user characteristics |
| CN104965883B (en) * | 2015-06-15 | 2018-08-14 | 海南大学 | A kind of personalized travel information screening technique of matching user characteristics |
| WO2017020811A1 (en) * | 2015-08-02 | 2017-02-09 | Chi Him Wong | Personalized travel planning and guidance system |
| CN107771340B (en) * | 2015-08-20 | 2021-07-09 | 沈基平 | Customized service providing system and method for traveler |
| CN107771340A (en) * | 2015-08-20 | 2018-03-06 | 沈基平 | Custom Prosthesis service provider system and method for traveller |
| CN105303487A (en) * | 2015-10-27 | 2016-02-03 | 北京妙计科技有限公司 | Method and device of travel service |
| CN105761175A (en) * | 2016-01-29 | 2016-07-13 | 柳明 | Tour route customization method and server |
| CN106204126A (en) * | 2016-07-06 | 2016-12-07 | 邵斐 | Client and data processing method |
| CN106407252B (en) * | 2016-08-23 | 2019-03-15 | 平安科技（深圳）有限公司 | Tourism route planing method and server |
| CN106407252A (en) * | 2016-08-23 | 2017-02-15 | 平安科技（深圳）有限公司 | Tourist route planning method and server |
| US10782139B2 (en) | 2016-08-23 | 2020-09-22 | Ping An Technology (Shenzhen) Co., Ltd. | Method of planning travel route, planning server, and storage medium |
| CN106372131A (en) * | 2016-08-25 | 2017-02-01 | 广西小草信息产业有限责任公司 | Travel information processing system and processing method |
| CN106447547A (en) * | 2016-11-01 | 2017-02-22 | 合肥华贝信息科技有限公司 | Intelligent tourism platform and running method |
| TWI672651B (en) * | 2016-11-15 | 2019-09-21 | 馥鈺科技股份有限公司 | Method of trip planning |
| CN108810060A (en) * | 2017-05-05 | 2018-11-13 | 阿里巴巴集团控股有限公司 | Offer, reception, user's polymerization, server and the client of business information |
| CN107845021A (en) * | 2017-10-27 | 2018-03-27 | 广西小草信息产业有限责任公司 | A kind of network platform travelling products marketing system |
| CN107862420A (en) * | 2017-12-13 | 2018-03-30 | 广东机场白云信息科技有限公司 | Intelligent stroke planning method and system |
| CN109829120A (en) * | 2019-03-05 | 2019-05-31 | 西安外事学院 | A kind of Tourism Information Applying System |
| CN112465276A (en) * | 2021-01-28 | 2021-03-09 | 湖南惠旅云网络科技有限公司 | Method for automatically generating scenic spot playing recommended route |
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