CN107622457A - A kind of efficient visitor's service management system - Google Patents
A kind of efficient visitor's service management system Download PDFInfo
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- CN107622457A CN107622457A CN201710862294.2A CN201710862294A CN107622457A CN 107622457 A CN107622457 A CN 107622457A CN 201710862294 A CN201710862294 A CN 201710862294A CN 107622457 A CN107622457 A CN 107622457A
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Abstract
The invention provides a kind of efficient visitor's service management system, including communication module, processing module and user terminal, the communication module is used to receive the customer position information of user terminal transmission and sends multimedia resource to user terminal, the user terminal is used to send customer position information to the communication module and receives multimedia resource, the multimedia resource is introduced including scenic spot, scenic spot electronic map and commerce services are recommended, the processing module respectively with the communication module, user terminal is connected, for obtaining customer position information from communication module, multimedia resource is generated according to positional information, and the multimedia resource is sent to user terminal by communication module.Beneficial effects of the present invention are：Good service is provided for visitor, realizes the efficient management of visitor's service.
Description
Technical field
The present invention relates to visitor's service technology field, and in particular to a kind of efficient visitor's service management system.
Background technology
With becoming increasingly popular for mobile terminal, when visitor goes sight-seeing at sight spot, increasingly want to obtain scenic spot at any time
Multimedia resource, and obtaining these information can only be obtained by guide or information counter, cause tourist experience bad.
The content of the invention
A kind of in view of the above-mentioned problems, the present invention is intended to provide efficient visitor's service management system.
The purpose of the present invention is realized using following technical scheme：
A kind of efficient visitor's service management system, including communication module, processing module and user terminal are provided, it is described
Communication module is used to receive the customer position information of user terminal transmission and sends multimedia resource, the user to user terminal
Terminal is used to send customer position information to the communication module and receives multimedia resource, and the multimedia resource includes scenic spot
Introduction, scenic spot electronic map and commerce services are recommended, and the processing module is connected with the communication module, user terminal respectively,
For obtaining customer position information from communication module, multimedia resource is generated according to positional information, and by the multimedia resource
User terminal is sent to by communication module.
Beneficial effects of the present invention are：Good service is provided for visitor, realizes the efficient management of visitor's service.
Brief description of the drawings
Using accompanying drawing, the invention will be further described, but the embodiment in accompanying drawing does not form any limit to the present invention
System, for one of ordinary skill in the art, on the premise of not paying creative work, can also be obtained according to the following drawings
Other accompanying drawings.
Fig. 1 is the structural representation of the present invention；
Reference：
Communication module 1, processing module 2, user terminal 3.
Embodiment
The invention will be further described with the following Examples.
Referring to Fig. 1, a kind of efficient visitor's service management system of the present embodiment, including communication module 1, processing module 2
With user terminal 3, the communication module 1 is used to receive the customer position information of the transmission of user terminal 3 and sent to user terminal 3
Multimedia resource, the user terminal 3 are used to send customer position information to the communication module 1 and receive multimedia resource,
The multimedia resource includes that scenic spot is introduced, scenic spot electronic map and commerce services are recommended, the processing module 2 respectively with it is described
Communication module 1, user terminal 3 are connected, and for obtaining customer position information from communication module 1, more matchmakers are generated according to positional information
Body resource, and the multimedia resource is sent to user terminal 3 by communication module 1.
The present embodiment provides good service for visitor, realizes the efficient management of visitor's service.
Preferably, the processing module 2 includes automatic navigation system, Map service system and periphery commending system, described
Automatic navigation system is used to generate scenic spot introduction, and the Map service system is used to generate scenic spot electronic map, and the periphery pushes away
The commerce services for recommending system generation periphery are recommended.
This preferred embodiment recommends commerce services based on the positioning of user to user, ensure that the ageing of recommendation, greatly
Ground facilitates user.
Preferably, the user terminal 3 determines customer position information by global positioning system.
It is accurate that this preferred embodiment obtains customer location, is disturbed that degree is small, is capable of the round-the-clock position for obtaining user
Information.
Preferably, the periphery commending system includes first similarity evaluation module, the second prediction module, the 3rd recommendation mould
Block and the 4th recommendation results evaluation module, the first similarity evaluation module are used to enter the similitude between user and service
Row evaluation, obtains similar user and service, and second prediction module is used for according to similar user and service prediction user
Treat the scoring of recommendation service, the 3rd recommending module is used for according to score in predicting result to user's recommendation service, and described the
Four recommendation results evaluation modules are used to evaluate the recommendation performance of the 3rd recommending module.
The score in predicting that the present embodiment treats recommendation service based on user carries out commerce services recommendation, and ensure that recommendation can
By property and the degree of accuracy.
Preferably, the first similarity evaluation module includes user's subelement and service subelement, and user's is single
Member is used to evaluate the similitude between user, and the service subelement is used to comment the similitude between service
Valency；
The similitude between user carry out evaluation carried out by user's similarity factor, user's similitude because
Son is determined using following formula：
In formula, F=Fu∩FvRepresent the set for the service that user u and v are used in conjunction with, EH1(u, v) represents that user u is similar with v user
Sex factor, pU, fEvaluations of estimate of the user u using service f is represented,Represent that user u uses the average ratings value of all services in F,
pV, fEvaluations of estimate of the user v using service f is represented,Represent that user v uses the average ratings value of all services in F；The user
Similarity factor value is bigger, shows that user is more similar.
This preferred embodiment first similarity evaluation module sets user's subelement, and relation between user is sets out
Point, user's similarity factor is calculated to the evaluation that largely services according to user, determines the similarity between user, for subsequently to
User's recommendation service is laid a good foundation.
Preferably, the similitude between described pair of service is evaluated is carried out by servicing similarity factor, the service
Similarity factor is determined using following formula：In formula, U=
Uf∩UhRepresent to have used service f and h user to gather simultaneously, EH2(f, h) represents service f and h service similarity factor,
pU, fEvaluations of estimate of the user u using service f is represented,Represent that all users use service f average ratings value, p in set UU, h
Evaluations of estimate of the user u using service h is represented,Represent that all users use service h average ratings value in set U；The clothes
Business similarity factor is bigger, shows that service is more similar.
This preferred embodiment first similarity evaluation module sets service subelement, relation between servicing and service as
Starting point, service similarity factor is calculated to the evaluation of service according to a large number of users, it is determined that the similarity between service, is follow-up
Laid a good foundation to user's recommendation service.
Preferably, second prediction module includes the first predicting unit, the second predicting unit and integrated forecasting unit, institute
State the first predicting unit to be used to be predicted according to user's similarity factor, obtain the first predicted value, second predicting unit
For being predicted according to service similarity factor, the second predicted value is obtained, the integrated forecasting unit is according to the first predicted value
Integrated forecasting value is obtained with the second predicted value；
It is described to be predicted according to user's similarity factor, be specially： In formula, YWU, fFirst predicted values of the user u to service f is represented, v ∈ U are user u similar users,
pV, fRepresent evaluations of estimate of the similar users v to service f；
It is described to be predicted according to service similarity factor, be specially：In formula, LGU, fRepresent second predicted values of the user u to service f, h
∈ F be service f similar services, pU, fRepresent evaluations of estimate of the active user u to service f；
It is described that integrated forecasting value is obtained according to the first predicted value and the second predicted value, be specially：CSU, f=δ1YWU, f+δ2LGU, f, in formula, CSU, fRepresent integrated forecasting values of the user u to service f, δ1And δ2Represent weight factor, δ1+δ2=1, it is described comprehensive
It is the score in predicting result that user treats recommendation service to close predicted value.
This preferred embodiment has considered user's similarity factor and service similarity factor to pre- during prediction
The influence of result is surveyed, by establishing the first predicted value, the second predicted value and integrated forecasting value, it is more accurate and science to have obtained
Predicted value, preferably provide service for visitor and lay a good foundation.
Preferably, evaluation is carried out using evaluation points progress, the evaluation to the recommendation performance of the 3rd recommending module
The factor is determined using following formula：In formula, ZC represents the 3rd recommending module
Evaluation points, CSU, fRepresent integrated forecasting values of the user u to service f, pU, fRepresent actual values of the user u to service f evaluations, N
Represent the quantity of predicted value.
The recommendation results evaluation module of this preferred embodiment the 4th is by introducing recommendation of the evaluation points to the 3rd recommending module
Performance is evaluated, and be ensure that the recommendation accuracy for recommending mould fast, so as to ensure that visitor's service quality, is obtained more preferable use
Family satisfaction.
Service is provided to visitor using efficient visitor's service management system of the invention, 5 groups of visitors is chosen and is tested, point
Not Wei visitor group 1, visitor group 2, visitor group 3, visitor group 4, visitor group 5, every group has 10 visitors, and efficiency of service and visitor are expired
Meaning degree is counted, compared with the existing technology, caused to have the beneficial effect that shown in table：
| Efficiency of service improves | Tourist satisfaction improves | |
| Visitor's group 1 | 22% | 21% |
| Visitor's group 2 | 24% | 23% |
| Visitor's group 3 | 24% | 25% |
| Visitor's group 4 | 26% | 27% |
| Visitor's group 5 | 28% | 29% |
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than the present invention is protected
The limitation of scope is protected, although being explained with reference to preferred embodiment to the present invention, one of ordinary skill in the art should
Work as understanding, technical scheme can be modified or equivalent substitution, without departing from the reality of technical solution of the present invention
Matter and scope.
Claims (8)
- A kind of 1. efficient visitor's service management system, it is characterised in that including communication module, processing module and user terminal, The communication module is used for the customer position information for receiving user terminal transmission and sends multimedia resource to user terminal, described User terminal is used to send customer position information to the communication module and receives multimedia resource, and the multimedia resource includes Scenic spot is introduced, scenic spot electronic map and commerce services are recommended, the processing module respectively with the communication module, user terminal phase Even, for obtaining customer position information from communication module, multimedia resource is generated according to positional information, and the multimedia is provided Source is sent to user terminal by communication module.
- 2. efficient visitor's service management system according to claim 1, it is characterised in that the processing module is included certainly Dynamic guide system, Map service system and periphery commending system, the automatic navigation system are used to generate scenic spot introduction, describedly Figure service system is used to generate scenic spot electronic map, and the commerce services on the periphery commending system generation periphery are recommended.
- 3. efficient visitor's service management system according to claim 2, it is characterised in that the user terminal passes through complete Ball alignment system determines customer position information.
- 4. efficient visitor's service management system according to claim 3, it is characterised in that the periphery commending system bag Include first similarity evaluation module, the second prediction module, the 3rd recommending module and the 4th recommendation results evaluation module, described first Similarity evaluation module is used to evaluate the similitude between user and service, obtains similar user and service, described Second prediction module is used for the scoring that recommendation service is treated according to similar user and service prediction user, and the described 3rd recommends mould Block is used for according to score in predicting result to user's recommendation service, and the 4th recommendation results evaluation module is used to push away to the described 3rd The recommendation performance for recommending module is evaluated.
- 5. efficient visitor's service management system according to claim 4, it is characterised in that the first similarity evaluation Module includes user's subelement and service subelement, and user's subelement is used to evaluate the similitude between user, The service subelement is used to evaluate the similitude between service；The similitude between user carries out evaluation and carried out by user's similarity factor, and user's similarity factor is adopted Determined with following formula：In formula, F=Fu∩FvRepresent the set for the service that user u and v are used in conjunction with, EH1(u, v) represent user u and v user's similitude because Son, pu,fEvaluations of estimate of the user u using service f is represented,Represent that user u uses the average ratings value of all services in F, pv,fTable Show evaluations of estimate of the user v using service f,Represent that user v uses the average ratings value of all services in F；The user is similar Sex factor value is bigger, shows that user is more similar.
- 6. efficient visitor's service management system according to claim 5, it is characterised in that the phase between described pair of service Evaluated like property and carried out by servicing similarity factor, the service similarity factor is determined using following formula： In formula, U=Uf∩UhRepresent to have used service simultaneously F and h user's set, EH2(f, h) represents service f and h service similarity factor, pu,fRepresent user u commenting using service f Value,Represent that all users use service f average ratings value, p in set Uu,hRepresent evaluations of the user u using service h Value,Represent that all users use service h average ratings value in set U；The service similarity factor is bigger, shows to service It is more similar.
- 7. efficient visitor's service management system according to claim 6, it is characterised in that the second prediction module bag The first predicting unit, the second predicting unit and integrated forecasting unit are included, first predicting unit is used for according to user's similitude The factor is predicted, and obtains the first predicted value, and second predicting unit is used to be predicted according to service similarity factor, obtained To the second predicted value, the integrated forecasting unit obtains integrated forecasting value according to the first predicted value and the second predicted value；It is described to be predicted according to user's similarity factor, be specially： In formula, YWu,fFirst predicted values of the user u to service f is represented, v ∈ U are user u similar users, pv,fRepresent evaluations of estimate of the similar users v to service f；It is described to be predicted according to service similarity factor, be specially： In formula, LGu,fRepresent user u to service f the second predicted value, h ∈ F be service f similar services, pu,fRepresent active user u Evaluation of estimate to servicing f；It is described that integrated forecasting value is obtained according to the first predicted value and the second predicted value, be specially：CSu,f=δ1YWu,f+δ2LGu,f, formula In, CSu,fRepresent integrated forecasting values of the user u to service f, δ1And δ2Represent weight factor, δ1+δ2=1, the integrated forecasting value As user treats the score in predicting result of recommendation service.
- 8. efficient visitor's service management system according to claim 7, it is characterised in that to the 3rd recommending module Recommendation performance carry out evaluation using evaluation points carry out, the evaluation points using following formula determination：In formula, ZC represents the evaluation points of the 3rd recommending module, CSu,fTable Show integrated forecasting values of the user u to service f, pu,fActual values of the user u to service f evaluations is represented, N represents the quantity of predicted value.
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| CN104244176A (en) * | 2014-07-29 | 2014-12-24 | 上海本脉信息科技有限公司 | Tour guiding system |
| CN104952007A (en) * | 2015-06-25 | 2015-09-30 | 华迪计算机集团有限公司 | Tour guide terminal system and tour guide method |
| CN105430099A (en) * | 2015-12-22 | 2016-03-23 | 湖南科技大学 | Collaborative Web service performance prediction method based on position clustering |
| CN106231557A (en) * | 2016-08-22 | 2016-12-14 | 北京易游华成科技有限公司 | A kind of visitor's service managing apparatus and system |
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2017
- 2017-09-21 CN CN201710862294.2A patent/CN107622457A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102880640A (en) * | 2012-08-20 | 2013-01-16 | 浙江大学 | Network modeling-based service recommending method |
| CN104244176A (en) * | 2014-07-29 | 2014-12-24 | 上海本脉信息科技有限公司 | Tour guiding system |
| CN104952007A (en) * | 2015-06-25 | 2015-09-30 | 华迪计算机集团有限公司 | Tour guide terminal system and tour guide method |
| CN105430099A (en) * | 2015-12-22 | 2016-03-23 | 湖南科技大学 | Collaborative Web service performance prediction method based on position clustering |
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