CN107767276B - Automatic product information recommendation method and system - Google Patents
Automatic product information recommendation method and system Download PDFInfo
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- CN107767276B CN107767276B CN201610702651.4A CN201610702651A CN107767276B CN 107767276 B CN107767276 B CN 107767276B CN 201610702651 A CN201610702651 A CN 201610702651A CN 107767276 B CN107767276 B CN 107767276B
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q30/0201—Market modelling; Market analysis; Collecting market data
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Abstract
The invention discloses a method and a system for automatically recommending product information, wherein the method comprises the following steps: setting user group information suitable for each product; when a user logs in, analyzing a user group to which the user belongs according to basic information of the user; comparing the user group to which the user belongs with the user group suitable for each product to find out the product suitable for the user; and taking the found product as a priority recommendation, and displaying product information for a user to check. Therefore, the user can conveniently and quickly know the insurance products suitable for the user, and the user experience and satisfaction are improved.
Description
Technical Field
The invention relates to the field of data processing, in particular to a method and a system for automatically recommending product information.
Background
At present, an insurance APP on a mobile phone can facilitate users to check and purchase insurance products anytime and anywhere. However, the insurance products in the current market are various, and users often need to check a lot of introduction contents to know each insurance product, so that the users are difficult to quickly select the products suitable for themselves. And because some users have limited understanding of various insurance products, the products that are selected after spending a lot of time are not necessarily the most suitable for themselves.
Disclosure of Invention
In view of the above, the present invention provides a method and a system for automatically recommending product information to solve the problem of how to automatically recommend a suitable insurance product for a user.
In order to achieve the above object, the present invention provides an automatic product information recommendation method, which comprises the steps of:
setting user group information suitable for each product;
when a user logs in, analyzing a user group to which the user belongs according to basic information of the user;
comparing the user group to which the user belongs with the user group suitable for each product to find out the product suitable for the user; and
and taking the found product as a priority recommendation, and displaying product information for a user to check.
Preferably, the product is an insurance product.
Preferably, the user group suitable for each product may be set according to characteristics of the product, or the user characteristics of the product purchased before are counted, and the user group suitable for the product is analyzed according to the statistical result.
Preferably, the information of the found products is sorted according to the relevance degree with the user when displayed, or sorted according to the purchase amount or attention degree of the corresponding products in the historical data.
Preferably, the information of the found product is displayed in the form of a squared figure.
Preferably, the found products comprise products of the same kind or different kinds of product combinations.
Compared with the prior art, the automatic product information recommendation method provided by the invention can analyze the user group to which the user belongs according to the user characteristics, and then find out the insurance product suitable for the user group, so that the related information of the found insurance product is preferentially recommended to the user for checking, the user can conveniently and quickly know the insurance product suitable for the user, and the user experience and satisfaction are improved.
In order to achieve the above object, the present invention further provides an automatic product information recommendation system, which includes:
the setting module is used for setting user group information suitable for each product;
the analysis module is used for analyzing a user group to which the user belongs according to the basic information of the user when the user logs in;
the comparison module is used for comparing the user group to which the user belongs with the user group suitable for each product to find out the product suitable for the user;
and the display module is used for taking the found product as a priority recommendation and displaying the product information for the user to view.
Preferably, the product is an insurance product.
Preferably, the user group suitable for each product may be set according to characteristics of the product, or the user characteristics of the product purchased before are counted, and the user group suitable for the product is analyzed according to the statistical result.
Preferably, the information of the found products is sorted according to the relevance degree with the user when displayed, or sorted according to the purchase amount or attention degree of the corresponding products in the historical data.
Compared with the prior art, the automatic product information recommendation system provided by the invention can analyze the user group to which the user belongs according to the user characteristics and then find out the insurance products suitable for the user group, so that the related information of the found insurance products is preferentially recommended to the user for checking, the user can conveniently and quickly know the insurance products suitable for the user, and the user experience and satisfaction are improved.
Drawings
Fig. 1 is a flowchart of a method for automatically recommending product information according to a first embodiment of the present invention;
FIG. 2 is a block diagram of an automatic product information recommendation system according to a second embodiment of the present invention;
the implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects to be solved by the present invention clearer and clearer, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, a first embodiment of the present invention provides an automatic product information recommendation method, which is applied to a background server or a client, and can analyze an insurance product suitable for a user according to user characteristics, and preferentially recommend the insurance product to the user for viewing in an insurance APP or an insurance website. The method comprises the following steps:
s100, user group information suitable for each insurance product is set. For example, traffic accident insurance is suitable for users with cars or having a love for travel. Specifically, the user group to which each insurance product is suitable may be set according to the characteristics of the insurance product, or the user characteristics of the user who purchased the insurance product before are counted, and the user group to which the insurance product is suitable is analyzed according to the statistical result.
S102, when the user logs in an insurance APP or an insurance website, analyzing a user group to which the user belongs according to the basic information of the user.
Specifically, the basic information may include gender, age, occupation, income, family members, social security status, hobbies, and the like. The manner of obtaining the basic information of the user and analyzing the user group to which the user belongs may include: according to the fact that real-name information (such as an identification number) registered by a user is in butt joint with information of a public security organization, partial basic information is obtained; prompting the user to input corresponding basic information (such as customer survey), and analyzing according to the received input content; or by holding regular activities (such as product pushing), the attention of the user to various activities is analyzed to know the user tendency, so as to judge the user group to which the user belongs.
S104, comparing the user group to which the user belongs with the user group suitable for each insurance product, and finding out the insurance product suitable for the user. In this embodiment, the insurance products found may be the same kind of insurance products, or may be a combination of different kinds of insurance products, such as a suitable health insurance plus an accident insurance.
And S106, taking the found insurance products as priority recommendations, and displaying product information for a user to view.
Specifically, the insurance products found to be suitable for the user can be ranked according to the relevance of the user, or according to the purchase amount or attention of the insurance products in the historical data, namely, the products which are more keen are ranked in the top. In this embodiment, the relevant information of the located insurance product is displayed to the user in the form of a nine-square grid. In other embodiments, the located insurance products may also be displayed in other forms.
It is noted that in other embodiments, the user's historical purchase history may be reviewed first, and if insurance products have been purchased, the products that have been purchased and similar or related products may be preferentially recommended. If the insurance product is not purchased, recommending according to the steps.
As shown in fig. 2, a second embodiment of the present invention provides an automatic product information recommendation system 200, which is applied to a background server or a client, and can analyze an insurance product suitable for a user according to user characteristics, and preferentially recommend the insurance product to the user for viewing in an insurance APP or an insurance website.
In the present embodiment, the system 200 for automatically recommending product information includes a setting module 202, an analyzing module 204, a comparing module 206, and a displaying module 208.
The setting module 202 is used for setting the user group information suitable for each insurance product. For example, traffic accident insurance is suitable for users with cars or having a love for travel. Specifically, the user group to which each insurance product is suitable may be set according to the characteristics of the insurance product, or the user characteristics of the user who purchased the insurance product before are counted, and the user group to which the insurance product is suitable is analyzed according to the statistical result.
The analysis module 204 is configured to analyze, when the user logs in the insurance APP or the insurance website, the user group to which the user belongs according to the basic information of the user.
Specifically, the basic information may include gender, age, occupation, income, family members, social security status, hobbies, and the like. The manner of acquiring the basic information of the user and analyzing the user group to which the user belongs by the analysis module 204 may include: according to the fact that real-name information (such as an identification number) registered by a user is in butt joint with information of a public security organization, partial basic information is obtained; prompting the user to input corresponding basic information (such as customer survey), and analyzing according to the received input content; or by holding regular activities (such as product pushing), the attention of the user to various activities is analyzed to know the user tendency, so as to judge the user group to which the user belongs.
The comparing module 206 is configured to compare the user group to which the user belongs with the user group suitable for each insurance product, and find the insurance product suitable for the user.
The display module 208 is configured to take the found insurance product as a priority recommendation, and display product information for the user to view.
Specifically, for the insurance products found to be suitable for the user, the display module 208 may rank the insurance products according to the relevance of the user, or rank the insurance products according to the purchase amount or the attention of the insurance products in the historical data, that is, the more enthusiastic products rank the insurance products at the top. In this embodiment, the relevant information of the located insurance product is displayed to the user in the form of a nine-square grid. In other embodiments, the located insurance products may also be displayed in other forms.
It is noted that in other embodiments, the analysis module 204 may also first look at the user's historical purchase history, and preferentially recommend purchased products and similar or related products if insurance products have been purchased. And if the insurance product is not purchased, analyzing the user group to which the user belongs according to the basic information of the user.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better embodiment. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The preferred embodiments of the present invention have been described above with reference to the accompanying drawings, and are not to be construed as limiting the scope of the invention. The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments. Additionally, while a logical order is shown in the flow diagrams, in some cases, the steps shown or described may be performed in an order different than here.
Those skilled in the art can implement the invention in various modifications, such as features from one embodiment can be used in another embodiment to yield yet a further embodiment, without departing from the scope and spirit of the invention. Any modification, equivalent replacement and improvement made within the technical idea of using the present invention should be within the scope of the right of the present invention.
Claims (6)
1. An automatic product information recommendation method is characterized by comprising the following steps:
setting user group information suitable for each insurance product; the user group suitable for each insurance product can be set according to the characteristics of the insurance product, or the user characteristics of the insurance product purchased before are counted, and the user group suitable for the insurance product is analyzed according to the counting result;
when a user logs in an insurance APP or an insurance website, checking historical purchase records of the user, and if the user purchases insurance products, preferentially recommending the purchased insurance products and similar or related insurance products;
if the insurance product is not purchased, analyzing the user group to which the user belongs according to the basic information of the user; the basic information comprises gender, age, occupation, income, family members, social security status and hobbies; the method for acquiring the basic information of the user and analyzing the user group to which the user belongs comprises the following steps: according to the fact that real-name information registered by a user is connected with information of a public security organization in a butt joint mode, partial basic information is obtained, the user is prompted to input corresponding basic information, and analysis is carried out according to received input content; the method for acquiring the basic information of the user and analyzing the user group to which the user belongs further comprises the following steps: analyzing the attention degree of a user to the pushing of the insurance products to know the user tendency by holding the regular pushing of the insurance products, thereby judging the user group to which the user belongs;
comparing the user group to which the user belongs with the user group suitable for each insurance product, and finding out the insurance products suitable for the user; and
and taking the found insurance products as priority recommendations, and displaying the information of the insurance products for the user to check.
2. The method according to claim 1, wherein the information of the located insurance products is sorted according to the degree of relevance to the user when displayed, or according to the purchase amount or attention degree of the corresponding insurance products in the history data.
3. The method of claim 1, wherein the information of the located insurance product is displayed in the form of a squared figure.
4. The method according to claim 1, wherein the located insurance products include the same kind of insurance products or different kinds of insurance product combinations.
5. An automatic product information recommendation system, comprising:
the setting module is used for setting user group information suitable for each insurance product; the user group suitable for each insurance product can be set according to the characteristics of the insurance product, or the user characteristics of the insurance product purchased before are counted, and the user group suitable for the insurance product is analyzed according to the counting result;
the analysis module is used for checking the historical purchase record of the user when the user logs in an insurance APP or an insurance website, and preferentially recommending the purchased insurance products and similar or related insurance products if the user purchases the insurance products; if the insurance product is not purchased, analyzing the user group to which the user belongs according to the basic information of the user; the basic information comprises gender, age, occupation, income, family members, social security status and hobbies; the method for acquiring the basic information of the user and analyzing the user group to which the user belongs comprises the following steps: according to the fact that real-name information registered by a user is connected with information of a public security organization in a butt joint mode, partial basic information is obtained, the user is prompted to input corresponding basic information, and analysis is carried out according to received input content; the method for acquiring the basic information of the user and analyzing the user group to which the user belongs further comprises the following steps: analyzing the attention degree of a user to the pushing of the insurance products to know the user tendency by holding the regular pushing of the insurance products, thereby judging the user group to which the user belongs;
the comparison module is used for comparing the user group to which the user belongs with the user group suitable for each insurance product to find the insurance product suitable for the user;
and the display module is used for taking the found insurance products as priority recommendations and displaying the information of the insurance products for the user to view.
6. The system of claim 5, wherein the information of the located insurance products is ranked according to relevance to the user when displayed, or according to purchase amount or attention of corresponding insurance products in historical data.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108711110B (en) * | 2018-08-14 | 2023-06-23 | 中国平安人寿保险股份有限公司 | Insurance product recommendation method, apparatus, computer device and storage medium |
| CN109377394A (en) * | 2018-10-22 | 2019-02-22 | 中国平安人寿保险股份有限公司 | Insurance business data processing method, device and storage medium, computer equipment |
| CN110807691B (en) * | 2019-10-31 | 2022-03-04 | 深圳市云积分科技有限公司 | Cross-commodity-class commodity recommendation method and device |
| CN112381661B (en) * | 2020-11-27 | 2024-01-30 | 深圳市慧择时代科技有限公司 | Insurance product similarity determination method and apparatus |
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| JPH11312188A (en) * | 1998-04-28 | 1999-11-09 | Dai-Ichi Mutual Life Insurance Co | System for generating insurance insuring recommendation data, its method and the insurance insuring recommendation data |
| CN102591942A (en) * | 2011-12-27 | 2012-07-18 | 奇智软件（北京）有限公司 | Method and device for automatic application recommendation |
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| CN103473354A (en) * | 2013-09-25 | 2013-12-25 | 焦点科技股份有限公司 | Insurance recommendation system framework and insurance recommendation method based on e-commerce platform |
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| JPH11312188A (en) * | 1998-04-28 | 1999-11-09 | Dai-Ichi Mutual Life Insurance Co | System for generating insurance insuring recommendation data, its method and the insurance insuring recommendation data |
| CN102591942A (en) * | 2011-12-27 | 2012-07-18 | 奇智软件（北京）有限公司 | Method and device for automatic application recommendation |
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