CN104616179A - Insurance product sorting method applicable to insurance e-commerce platform - Google Patents
Insurance product sorting method applicable to insurance e-commerce platform Download PDFInfo
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- CN104616179A CN104616179A CN201510101151.0A CN201510101151A CN104616179A CN 104616179 A CN104616179 A CN 104616179A CN 201510101151 A CN201510101151 A CN 201510101151A CN 104616179 A CN104616179 A CN 104616179A
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- insurance products
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Abstract
The invention discloses an insurance product sorting method applicable to an insurance e-commerce platform, which is used for helping an insurance e-commerce platform user to find the most suitable insurance product, and has reference significance in recommending other products based on an e-commerce platform. The method comprises the following steps: based on situational guidance, acquiring a guarantee item concerned by a user; acquiring all insurance products corresponding to the guarantee item; integrating various recommending algorithms into a recommending framework; by virtue of a voting rule, achieving accurate and reliable insurance product recommendation by taking advantages of various recommending methods.
Description
Technical field
The present invention relates to a kind of insurance products sort method being applicable to E-Insurance platform, most suitable insurance products is found for helping E-Insurance platform user, belong to the commending system technology in infotech, also have reference to other commercial product recommendings based on e-commerce platform.
Background technology
Along with being rooted in the hearts of the people of internet and ecommerce, insurance ecommerce is also flourish.The Consumer's Experience of high-quality is the tireless pursuit of e-commerce website.Because product information on current E-Insurance platform is mixed and disorderly, product description homogeneity, the problem such as obscure, user is difficult to determine to buy which kind of insurance products.Therefore, from serving buyer, improving the angle of conversion rate of products, E-Insurance platform should have the model sequencing method of an applicable this area.
The model sequencing of current E-Insurance platform is many based on traditional e-commerce platform model sequencing, and does not consider the unique characteristics of insurance products.Meanwhile, traditional insurance industry needs marketing consultant to recommend suitable insurance products to user more, and this makes E-Insurance platform be different from traditional E-commerce in retail business platform.Therefore, the insurance products sort method for E-Insurance platform all seems most important to both parties.
Summary of the invention
Goal of the invention: mixed and disorderly for product information on current E-Insurance platform, user is difficult to the problem determining to buy which kind of insurance products, the invention provides a kind of insurance products sort method being applicable to E-Insurance platform.The present invention considers that E-Insurance platform difference is in the feature of traditional E-commerce in retail business platform, combine surface and the content characteristic of insurance products, system according to the screening of user to the project of guarantee, and weighs many factors, can recommend accurate insurance products to user.
Technical scheme: for achieving the above object, the technical solution used in the present invention is:
Be applicable to an insurance products sort method for E-Insurance platform, comprise the steps:
(101) the guarantee project obtaining user and pay close attention to is guided based on situation;
(102) all insurance products corresponding to guarantee project are obtained;
(103) use various proposed algorithm to carry out insurance products to insurance products respectively and recommend sequence, obtain the insurance products recommendation order under often kind of proposed algorithm;
(104) utilize voting rule to add up the insurance products recommendation order of various proposed algorithm to often kind of insurance products, according to accumulation result, insurance products is carried out to insurance products and recommend sequence, obtain final insurance products ranking results.
In described step (103), various proposed algorithm comprises the insured amount accounting of insurance products, insurance products price, the overall weight of guarantee project and is evenly distributed four kinds.
The specific implementation step of described step (103) is:
(201) recommend method of the insured amount accounting of insurance products is used to calculate the insurance products recommendation order of all insurance products:
The computing formula of the insured amount accounting of described insurance products is:
Wherein, A
ifor the Claims Resolution price of the barrier project i that user in insurance products j pays close attention to, the Claims Resolution price sum that A is the secure project of insurance products j,
all n the guarantee projects Claims Resolution price sums for user's concern in insurance products j account for the proportion of total Claims Resolution price, K
1jbe the insured amount accounting of insurance products j;
With the K of the more all insurance products of bubble sort method
1jsize, the result drawn sorts the insurance products recommendation order that namely can be used as under this recommend method from big to small;
(202) recommend method of insurance products price is used to calculate the insurance products recommendation order of all insurance products:
Namely all insurance products be can be used as the insurance products recommendation order under this recommend method according to price order sequence from low to high;
(203) recommend method of the overall weight of operational support project calculates the insurance products recommendation order of all insurance products:
The overall weight of guarantee project calculates based on TF-IDF algorithm, the frequency that the weight of some guarantee projects is occurred in all insurance products by it and the frequency that it occurs in a certain insurance products determine, the frequency that arbitrary guarantee project occurs in arbitrary insurance products is 1 or 0;
If the quantity of all insurance products of E-Insurance platform is D, the quantity comprising the insurance products of guarantee project i is Q
i, then idf is had
i=log (D/Q
i); If in insurance products j the number of secure project be N
jif comprise guarantee project i in insurance products j, then tf
i=1/N
j, otherwise tf
i=0;
The computing formula of the overall weight of described guarantee project is as follows:
Wherein, tf
ifor ensureing the tf that project i is corresponding
ivalue, idf
ifor ensureing the idf that project i is corresponding in insurance products j
ivalue, K
3jbe the overall weight of guarantee project of insurance products j;
With the K of the more all insurance products of bubble sort method
3jsize, the result drawn sorts the insurance products recommendation order that namely can be used as under this recommend method from big to small;
(204) recommend method be evenly distributed is used to calculate the insurance products recommendation order of all insurance products:
The described computing formula be evenly distributed is as follows:
Wherein, N
jby the quantity of project secure in insurance products j, n
jfor the quantity of the guarantee project that users all in insurance products j pay close attention to, C
jfor the price of insurance products j, K
4jbe being evenly distributed of insurance products j;
With the K of the more all insurance products of bubble sort method
4jsize, the result drawn sorts the insurance products recommendation order that namely can be used as under this recommend method from big to small.
The specific implementation step of described step (104) is: first carry out label respectively for the insurance products recommendation order obtained under each recommend method, what wherein make number one is designated as 1, comes deputyly to be designated as 2, by that analogy; Then to each insurance products, the sequence label obtained by four kinds of recommend methods adds up; Finally cumulative result is sorted according to order from small to large, obtain final insurance products ranking results.
In described step (104), when adding up to label, if find to there is the equal insurance products of accumulated value, then equal to accumulated value insurance products random continuous sequence, or combination product conversion ratio and brand commission factor sort continuously.
Beneficial effect: the insurance products sort method being applicable to E-Insurance platform provided by the invention, consider that E-Insurance platform difference is in the feature of traditional E-commerce in retail business platform, combine surface and the content characteristic of insurance products, system is according to the screening of user to the project of guarantee, and weigh many factors, accurate insurance products can be recommended to user.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of the E-Insurance platform insurance products sort method of the embodiment of the present invention.
Fig. 2 is the proposed algorithm selected in the recommendation framework of the embodiment of the present invention.
Embodiment
Below in conjunction with accompanying drawing, the present invention is further described.
Fig. 1 illustrates the process flow diagram of the E-Insurance platform insurance products sort method according to the embodiment of the present invention.
Step 101, build the guiding problem being used for situation and guiding, user-selected problem correspondence ensures project accordingly, obtains the guarantee project that user pays close attention to.
Such as, user is according to situation guiding problem, and system show that user needs the guarantee project paid close attention to be respectively carry-on property loss, disease medical security, emergency relief in 24 hours, airliner delay and third party's person or property guarantee.
Step 102, by obtain user pay close attention to secure project compare with corresponding the showing of guarantee project-guarantee product in database, filter out the insurance products of guarantee project co-occurrence as much as possible, form insurance products storehouse to be recommended.
Insurance products storehouse to be recommended based on the guarantee item design of user's concern is as follows, and total option A shown in table 1, B, C tri-kinds of insurance products can be selected for user, go on a journey calculate for 3 days by user.
Table 1 insurance products scheme
| Option A | Option b | Scheme C | |
| Premium | ￥20.00 | ￥30.00 | ￥50.00 |
| Unexpected injury | 200000 yuan | 300000 yuan | 200000 yuan |
| Public transport doubles payment | 200000 yuan | 300000 yuan | - |
| Disease medical treatment | 2000 yuan | 3000 yuan | 1000 yuan |
| Unexpected medical treatment | 30000 yuan | 50000 yuan | - |
| Disease/unexpected hospitalization benefit | 100 yuan/day | 150 yuan/day | - |
| Disease is die | 20000 yuan | 30000 yuan | - |
| Medical treatment is transported and is sent and returns | - | - | 100000 yuan |
| Transhipment is come back home | - | - | 20000 yuan |
| Emergency medical is transported | 100000 yuan | 200000 yuan | - |
| Remains/bone ash send and returns | 20000 yuan | 50000 yuan | - |
| Costs reimbursement is visited in expression of sympathy | 3000 yuan | 8000 yuan | 8000 yuan |
| Route is incured loss through delay | 900 yuan | 1200 yuan | 600 yuan |
| Route is cancelled | 2000 yuan | 3000 yuan | - |
| Subsidy lost by luggage | 2000 yuan | 3000 yuan | 2000 yuan |
| The guarantee of travelling family property | 3000 yuan | 5000 yuan | - |
| Personal responsibility | - | - | 200000 yuan |
| Individual and pet responsibility | 200000 yuan | 300000 yuan | - |
| Pet ensures during travel | 500 yuan | 1000 yuan | - |
| Sales slip ensures | 2000 yuan | 3000 yuan | - |
Subsidy lost by luggage in carry-on property loss and corresponding form, disease medical treatment in disease medical security and corresponding form, costs reimbursement is visited in expression of sympathy in emergency relief in 24 hours and corresponding form, route in airliner delay and corresponding form is incured loss through delay, the personal responsibility in third party's person or property guarantees and corresponding form or individual and pet responsibility.
Step 103, recommends the proposed algorithm selected in framework be respectively the insured amount accounting of insurance products, insurance products price, the overall weight of guarantee project and be evenly distributed.
Fig. 2 illustrates the proposed algorithm selected in the recommendation framework according to the embodiment of the present invention.
Particularly, step 201, the computing formula of the insured amount accounting of insurance products is as follows:
Wherein, A
ifor the Claims Resolution price of the barrier project i that user in insurance products j pays close attention to, the Claims Resolution price sum that A is the secure project of insurance products j,
all n the guarantee projects Claims Resolution price sums for user's concern in insurance products j account for the proportion of total Claims Resolution price, K
1jbe the insured amount accounting of insurance products j.
The Claims Resolution price sum of option A: A is 78.57 ten thousand yuan, then:
K
1A＝(0.2+0.2+0.3+0.09+20)/78.57＝0.264
The Claims Resolution price sum of option b: B is 125.765 ten thousand yuan, then:
K
1B＝(0.3+0.3+0.8+0.12+30)/125.765＝0.249
The Claims Resolution price sum of scheme C:C is 63.16 ten thousand yuan, then:
K
1C＝(0.2+0.1+0.8+0.06+20)/63.16＝0.335
Relatively K
1A, K
1B, K
1Csize, the model sequencing obtained under the method is C>A>B.
Step 202, namely insurance products price to sort the insurance products recommendation order that namely can be used as under the method from low to high according to the price of insurance products.The relatively size of A, B, C product price, the model sequencing obtained under the method is A > B > C.
Step 203, the calculating of the overall weight of the project that ensures.Certain E-Insurance platform has 240 insurance products, comprises carry-on property loss, disease medical security, emergency relief in 24 hours, airliner delay and third party's person or property ensures that these 5 ensure that the insurance products number of projects is respectively 91,3,120,116,123.The idf value that then above-mentioned 5 guarantee projects are corresponding is respectively 0.421,1.903,0.301,0.316,0.290.The guarantee project number of A, B, C is respectively 16,16,8.
Option A:
K
3A＝1/16*0.421+1/16*1.903+1/16*0.301+1/16*0.316+1/16*0.290＝0.2019
Option b:
K
3B＝1/16*0.421+1/16*1.903+1/16*0.301+1/16*0.316+1/16*0.290＝0.2019
Scheme C:
K
3C＝1/8*0.421+1/8*1.903+1/8*0.301+1/8*0.316+1/8*0.290＝0.4038
Relatively K
3A, K
3B, K
3Csize, the model sequencing obtained under the method is C > A=B.
Step 204, is evenly distributed the K under calculating
4A, K
4B, K
4Cvalue be respectively:
Option A: K
4A=5/16/20=0.0156
Option b: K
4B=5/16/30=0.0104
Scheme C:K
4C=5/8/50=0.0125
Relatively K
4A, K
4B, K
4Csize, the model sequencing obtained under the method is A > C > B.
Step 104, voted by the ranking results that four kinds of methods of recommending in framework calculate, certain insurance products makes number one in a certain method, is designated as 1, comes second and is then designated as 2, the like.The result of four kinds of methods added up, acquired results is the sequence of the final insurance products recommended from small to large, as shown in table 2.
The accumulation result of table 2 three kinds of schemes
From result, the final sequence of option A, B, C is A, C, B.Preferably, situation about coming to the same thing can the factor such as combination product conversion ratio, brand commission be sorted.
Because on current E-Insurance platform, product information is mixed and disorderly, product description homogeneity, obscure, user is difficult to determine to buy which kind of insurance products, and traditional merchandising business e-commerce platform is difficult to the development model adapting to E-Insurance platform, therefore traditional e-commerce platform model sequencing method is difficult to the needs meeting E-Insurance platform.The content characteristics such as surface and insured amount accounting such as the price of insurance products sort method multiple line insurance product provided by the invention, finally insurance products is sorted by voting mechanism, realize insurance products accurately and reliably to recommend, find most suitable insurance products with helping user's more convenient and quicker.
The above is only the preferred embodiment of the present invention; be noted that for those skilled in the art; under the premise without departing from the principles of the invention, can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (5)
1. be applicable to an insurance products sort method for E-Insurance platform, it is characterized in that: comprise the steps:
(101) the guarantee project obtaining user and pay close attention to is guided based on situation;
(102) all insurance products corresponding to guarantee project are obtained;
(103) use various proposed algorithm to carry out insurance products to insurance products respectively and recommend sequence, obtain the insurance products recommendation order under often kind of proposed algorithm;
(104) utilize voting rule to add up the insurance products recommendation order of various proposed algorithm to often kind of insurance products, according to accumulation result, insurance products is carried out to insurance products and recommend sequence, obtain final insurance products ranking results.
2. the insurance products sort method being applicable to E-Insurance platform according to claim 1, it is characterized in that: in described step (103), various proposed algorithm comprises the insured amount accounting of insurance products, insurance products price, the overall weight of guarantee project and is evenly distributed four kinds.
3. the insurance products sort method being applicable to E-Insurance platform according to claim 2, is characterized in that: the specific implementation step of described step (103) is:
(201) recommend method of the insured amount accounting of insurance products is used to calculate the insurance products recommendation order of all insurance products:
The computing formula of the insured amount accounting of described insurance products is:
Wherein, A
ifor the Claims Resolution price of the barrier project i that user in insurance products j pays close attention to, the Claims Resolution price sum that A is the secure project of insurance products j,
all n the guarantee projects Claims Resolution price sums for user's concern in insurance products j account for the proportion of total Claims Resolution price, K
1jbe the insured amount accounting of insurance products j;
With the K of the more all insurance products of bubble sort method
1jsize, the result drawn sorts the insurance products recommendation order that namely can be used as under this recommend method from big to small;
(202) recommend method of insurance products price is used to calculate the insurance products recommendation order of all insurance products:
Namely all insurance products be can be used as the insurance products recommendation order under this recommend method according to price order sequence from low to high;
(203) recommend method of the overall weight of operational support project calculates the insurance products recommendation order of all insurance products:
The overall weight of guarantee project calculates based on TF-IDF algorithm, the frequency that the weight of some guarantee projects is occurred in all insurance products by it and the frequency that it occurs in a certain insurance products determine, the frequency that arbitrary guarantee project occurs in arbitrary insurance products is 1 or 0;
If the quantity of all insurance products of E-Insurance platform is D, the quantity comprising the insurance products of guarantee project i is Q
i, then idf is had
i=log (D/Q
i); If in insurance products j the number of secure project be N
jif comprise guarantee project i in insurance products j, then tf
i=1/N
j, otherwise tf
i=0;
The computing formula of the overall weight of described guarantee project is as follows:
Wherein, tf
ifor ensureing the tf that project i is corresponding
ivalue, idf
ifor ensureing the idf that project i is corresponding in insurance products j
ivalue, K
3jbe the overall weight of guarantee project of insurance products j;
With the K of the more all insurance products of bubble sort method
3jsize, the result drawn sorts the insurance products recommendation order that namely can be used as under this recommend method from big to small;
(204) recommend method be evenly distributed is used to calculate the insurance products recommendation order of all insurance products:
The described computing formula be evenly distributed is as follows:
Wherein, N
jby the quantity of project secure in insurance products j, n
jfor the quantity of the guarantee project that users all in insurance products j pay close attention to, C
jfor the price of insurance products j, K
4jbe being evenly distributed of insurance products j;
With the K of the more all insurance products of bubble sort method
4jsize, the result drawn sorts the insurance products recommendation order that namely can be used as under this recommend method from big to small.
4. the insurance products sort method being applicable to E-Insurance platform according to claim 3, it is characterized in that: the specific implementation step of described step (104) is: first respectively label is carried out for the insurance products recommendation order obtained under each recommend method, what wherein make number one is designated as 1, come and be deputyly designated as 2, by that analogy; Then to each insurance products, the sequence label obtained by four kinds of recommend methods adds up; Finally cumulative result is sorted according to order from small to large, obtain final insurance products ranking results.
5. the insurance products sort method being applicable to E-Insurance platform according to claim 4, it is characterized in that: in described step (104), when adding up to label, if find to there is the equal insurance products of accumulated value, then equal to accumulated value insurance products random continuous sequence, or combination product conversion ratio and brand commission factor sort continuously.
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| CN106296414A (en) * | 2016-08-17 | 2017-01-04 | 深圳市永兴元科技有限公司 | Vehicle insurance is insured method and system |
| CN106875030A (en) * | 2016-12-14 | 2017-06-20 | 武汉默联股份有限公司 | Commercial health insurance directly pays for intelligent recommendation system and method online |
| WO2018184548A1 (en) * | 2017-04-06 | 2018-10-11 | 平安科技（深圳）有限公司 | Method and device for providing proposed quote for insurance policy, terminal apparatus, and medium |
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| CN109509047B (en) * | 2017-09-15 | 2021-04-02 | 北京嘀嘀无限科技发展有限公司 | Information providing method, information providing system and computer device for network car booking application |
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| CN109447824A (en) * | 2018-09-26 | 2019-03-08 | 平安健康保险股份有限公司 | Declaration form data processing method, device, computer equipment and storage medium |
| CN109300052A (en) * | 2018-10-30 | 2019-02-01 | 平安医疗健康管理股份有限公司 | Insurance recommended method, equipment, server and readable medium based on interrogation on line |
| CN109255721A (en) * | 2018-10-30 | 2019-01-22 | 平安医疗健康管理股份有限公司 | Insurance recommended method, equipment, server and readable medium based on Cost Forecast |
| CN112380419A (en) * | 2020-10-29 | 2021-02-19 | 中国人寿保险股份有限公司 | Method and system for inquiring competitive product data and electronic equipment |
| CN112380419B (en) * | 2020-10-29 | 2024-02-09 | 中国人寿保险股份有限公司 | Bidding data query method, system and electronic equipment |
| CN113191907A (en) * | 2021-04-01 | 2021-07-30 | 青岛全掌柜科技有限公司 | Method for automatically generating contrast information of severe illness danger |
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Application publication date: 20150513 |