CN107038600A - The method and apparatus for providing rights and interests - Google Patents
The method and apparatus for providing rights and interests Download PDFInfo
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- CN107038600A CN107038600A CN201710100953.9A CN201710100953A CN107038600A CN 107038600 A CN107038600 A CN 107038600A CN 201710100953 A CN201710100953 A CN 201710100953A CN 107038600 A CN107038600 A CN 107038600A
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- G—PHYSICS
- 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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0207—Discounts or incentives, e.g. coupons or rebates
- G06Q30/0211—Determining the effectiveness of discounts or incentives
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- G—PHYSICS
- 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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0207—Discounts or incentives, e.g. coupons or rebates
- G06Q30/0224—Discounts or incentives, e.g. coupons or rebates based on user history
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- G—PHYSICS
- 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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0207—Discounts or incentives, e.g. coupons or rebates
- G06Q30/0226—Incentive systems for frequent usage, e.g. frequent flyer miles programs or point systems
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Abstract
The application provides a kind of method for providing rights and interests, including：Regular state parameter and/or historical behavior record based on user, the recommendation of N number of optional rights and interests is calculated using predetermined proposed algorithm, and using recommendation highest, M preserves as recommendation rights and interests；N is the natural number more than or equal to 2, and M is the natural number less than N；When certain user, which meets predetermined rights and interests, provides condition, the recommendation rights and interests of the user are read, the user is issued to.By the technical scheme of the application, the processing pressure of service end is alleviated, the efficiency of rights and interests granting is improved, rights and interests utilization rate is improved, the time energy of user is saved.
Description
Technical field
The application is related to technical field of data processing, more particularly to a kind of method and apparatus for providing rights and interests.
Background technology
It is prevailing with consumption on network, increasing businessman (including self-operation trade company, shopping platform etc.) add network
The competition troop of sale.In order to increase client's number, lifting sales volume, expand the influence power of itself, these businessmans often carry out each
Marketing activity is planted, and often multiple different marketing activities are simultaneously online, and participating in the user of marketing activity can obtain respectively
Kind of rights and interests, such as send telephone expenses, coupons, bag postal card, completely subtract voucher, the marketing activity linked with solid shop can also be provided
Reward voucher, cash certificate that solid shop is used etc..
In the prior art, in the trigger event that rights and interests are provided to some user (such as user's completion occurs for the server of businessman
Reach that the transaction of certain amount of money, user are initiated to get application of rights and interests etc.) when, the business rule provided according to rights and interests is (full
Which professional qualification foot can get some rights and interests) which the rights and interests that determine the user and can get have, is then weighed at these
One is randomly selected in benefit and is issued to user.The marketing activity that and customer flow numerous to participation number is concentrated, server is normal
Often need to handle a large amount of concurrent rights and interests granting tasks, at this moment above-mentioned implementation can cause very big processing pressure to server
Power, it is difficult to meet the demand of system operation.In addition, the rights and interests randomly selected are likely to and mismatch the demand with user, cause
The utilization rate of rights and interests is relatively low, wastes the time energy of user.
The content of the invention
In view of this, the application provides a kind of method for providing rights and interests, including：
Regular state parameter and/or historical behavior record based on user, calculate N number of optional using predetermined proposed algorithm
The recommendation of rights and interests, using recommendation highest, M preserves as recommendation rights and interests；N is the natural number more than or equal to 2, and M is less than N
Natural number；
When certain user, which meets predetermined rights and interests, provides condition, the recommendation rights and interests of the user are read, the user is issued to.
Present invention also provides a kind of device for providing rights and interests, including：
Recommend rights and interests determining unit, recorded for the regular state parameter based on user and/or historical behavior, using pre-
Determine the recommendation that proposed algorithm calculates N number of optional rights and interests, M preserves as recommendation rights and interests using recommendation highest；N be more than etc.
In 2 natural number, M is the natural number less than N；
Recommend rights and interests issuance unit, for when certain user meets predetermined rights and interests and provides condition, reading pushing away for the user
Rights and interests are recommended, the user is issued to.
In above technical scheme, embodiments herein, recommendation is precalculated most using predetermined proposed algorithm
High optional rights and interests, result of calculation is directly used when providing rights and interests to user, and the selection without carrying out rights and interests in real time is alleviated
The processing pressure of service end, improves the efficiency of rights and interests granting；In addition, according to the regular state parameter and/or history of user
Behavior record determines the recommendation of optional rights and interests, it is possible to increase rights and interests and the matching degree of user's request, improves rights and interests utilization rate,
Save the time energy of user.
Brief description of the drawings
Fig. 1 is a kind of flow chart for the method for providing rights and interests in the embodiment of the present application；
Fig. 2 be in the application application example client, the member system of service end, marketing system and prize commending system it
Between interaction diagrams；
Fig. 3 is a kind of hardware structure diagram for the equipment for running the embodiment of the present application；
Fig. 4 is a kind of building-block of logic for the device for providing rights and interests in the embodiment of the present application.
Embodiment
Embodiments herein proposes a kind of method of new granting rights and interests, in advance using predetermined proposed algorithm, according to
Regular state parameter and/or the historical behavior record at family, prediction best suits the recommendation rights and interests of user's request and preserved, real-time
When providing rights and interests, the advowson benefit of preservation is directly issued to user, so that the real-time processing pressure of service end can either be mitigated,
User's request can be better met again, to solve problems of the prior art.
Embodiments herein, which is applied, is being responsible for providing the service end of rights and interests to user.In embodiments herein, it is responsible for
The terminal used to the service end of user's granting rights and interests with user mutually may have access to by network.Wherein, service end or user make
Terminal can be any equipment for having and calculating with storage capacity, such as mobile phone, tablet personal computer, PC (Personal
Computer, PC), notebook, server etc., service end can also be shared different responsibilities by two or more
Physically or logically the various functions of service end in the embodiment of the present application are realized in equipment, mutually collaboration.
Wherein, the flow for providing the method for rights and interests is as shown in Figure 1 for embodiments herein.
In step 110, regular state parameter and/or historical behavior record based on user, using predetermined proposed algorithm
The recommendation of N (N for natural number) not less than 2 individual optional rights and interests is calculated, (M is natural number, and M by recommendation highest M<N)
It is individual to be preserved as recommendation rights and interests.
When there is marketing activity progress, each user may have one to be available for granting (can hereinafter referred to as send out to multiple rights and interests
Put to the optional rights and interests that the rights and interests of some user are the user), the rights and interests quantity that be issued to user can be one and arrive multiple.
If some user has K (K is natural number) individual optional rights and interests, the rights and interests that be issued to user are also K, then service end can be straight
Connect and preserve the optional rights and interests of the user all as the recommendation rights and interests of the user；It is of course also possible to by predetermined proposed algorithm
After calculating, obtain identical and recommend rights and interests.
When the optional rights and interests quantity N of user exceedes the rights and interests quantity M that be issued to user, service end is using predetermined recommendation
Algorithm calculates the recommendation of each optional rights and interests, and using wherein recommendation of the M rights and interests of recommendation highest as the user
Rights and interests are saved.According to selected proposed algorithm, recommendation highest M can be maximum in the numerical value calculated or most
Small M, do not limit.
Predetermined proposed algorithm is used for being recorded according to the regular state parameter and/or historical behavior of user, which to be predicted
Rights and interests can be more likely used by a user.The terminal of user is in various information exchanging processes in the past with service end, and service end can
To be collected into the various parameters of user, and preserve the miscellaneous service that user is carried out by service end.By analyzing these data, clothes
Business end can therefrom draw the regular state parameter of user according to practical business demand, and filter out the history row of user
For record.Specific analysis mode and screening mode can refer to prior art realization, repeat no more.
Wherein, the regular state parameter of user includes the various parameters of reflection user routinely state, and such as user resides
Geographical position, the mobile terminal number that is commonly used of user etc..According to specific optional rights and interests, predetermined proposed algorithm can be used
Recommendation embodies the uses of optional rights and interests and the user routinely related degree of state.For example, under optional rights and interests are included online
It is during rights and interests (the needing the rights and interests used on the geographical position rather than website of entity business) used, then identical in other conditions
When, if the geographical position resided using the geographical position of some rights and interests used under online apart from user is closer to making a reservation for recommend
Algorithm can assign higher recommendation for the rights and interests.For another example, when optional rights and interests include the rechargeable card of some telecom operators, such as
The mobile terminal number that fruit user is commonly used belongs to the telecom operators, then predetermined proposed algorithm can be assigned for the optional rights and interests
Give higher recommendation.
The historical behavior record of user includes the miscellaneous service record of user's progress, search and records, browses record etc..In advance
Embodied user preference can be recorded according to the historical behavior of user by determining proposed algorithm, come for user preference matching degree
Different optional rights and interests assign different recommendations.
In a kind of application scenarios, historical behavior record is when including the history consumer record of user, predetermined proposed algorithm from
In the history consumer record of user summarize user consumption feature, when other conditions are identical, the consumption feature of user and some
Rights and interests are more matched, and the rights and interests assign scheduled proposed algorithm higher recommendation.If for example, the history consumption of some user
Record show its often purchase food and seldom buy clothing, then when other conditions are identical, predetermined proposed algorithm will be applied to
Coupon in terms of food assigns higher recommendation, and be applied to clothing in terms of coupon assign relatively low recommendation.
It is similar, the search record of user, browse record and equally can also be used for summarizing the consumption feature of user.
All algorithms that can be made a choice in some options according to known facts may serve to recommend as predetermined
Algorithm, embodiments herein is not limited.For example, greedy algorithm, collaborative filtering, exponential damping algorithm etc., these
Implementing for algorithm can refer to prior art, repeat no more.
In application scenes, the granting of some rights and interests is conditional, i.e., can only be issued to and meet certain condition
User, such different user might have different optional rights and interests.Under this situation, service end is calculated with predetermined proposed algorithm
, it is necessary to which first according to the service parameter of user, user is determined in rights and interests pond according to business rule before the recommendation of optional rights and interests
Optional rights and interests.Business rule is for deciding whether to provide some rights and interests to some user, and the business of different rights and interests is advised
Then can be with identical, can also be different；Service parameter includes user related information required during applied business rule.For example, user
After the full certain amount of some period consumption, certain coupons could be provided to it, then service parameter is user in the time
The consumption total value of section, the business rule for the coupons is whether consumption total value reaches the set amount.
In step 120, when certain user, which meets predetermined rights and interests, provides condition, the recommendation rights and interests of the user are read, are issued to
The user.
By predetermined proposed algorithm, service end predefines M and more meets user before rights and interests granting is carried out to user
The recommendation rights and interests of preference are simultaneously saved.When some user, which meets predetermined rights and interests, provides condition, service end directly reads the use
The advowson at family is put increasingly.Predetermined rights and interests are provided condition and determined according to the business procedure of practical application scene.For example, a certain
Some given time section before marketing activity is carried out provides rights and interests to all users；For another example, led in the rights and interests for receiving some user
Take after request.
In application scenes, service end condition can be got using rights and interests come limit which user can get rights and interests,
The number of times of rights and interests is got in limitation, and/or time of rights and interests etc. is got in limitation.In these application scenarios, service end is receiving user
The rights and interests that terminal is sent are got after request, judge whether user meets rights and interests and get condition, if it is satisfied, then reading and saving is pushed away
Recommend rights and interests and be issued to user；Rights and interests are not provided if being unsatisfactory for the user.
User can use provided rights and interests after the rights and interests of service end granting are received.The use of rights and interests would generally be through
Carried out by every business procedure of service end, therefore, service end can learn the service condition of provided rights and interests.In an example
In son, service end can carry out tuning, to carry according to service condition of the user to the recommendation rights and interests of granting to predetermined proposed algorithm
Height provides the utilization rate after advowson benefit.For example, can by using recommend rights and interests user regular state parameter and/
Or the statistics of historical behavior record, and to the regular state parameter and/or historical behavior of the user for recommending rights and interests is not used
The statistics of record, statistics is used for carrying out variable, parameter of predetermined proposed algorithm etc. and is adjusted, so as to reach raising hair
The purpose for beneficial utilization rate of delegating power.
It should be noted that when there are multiple marketing activities, user and may participate in any one marketing activity, service end
The recommendation rights and interests to each user can be precomputed for each marketing activity and preserve；Some marketing is participated in user
When movable, the advowson benefit of the marketing activity is issued to the user.
It can be seen that, in embodiments herein, service end uses predetermined proposed algorithm, previously according to the regular state of user
Parameter and/or historical behavior record, determine recommendation highest rights and interests as optional rights and interests, when providing rights and interests in real time, directly
Using result of calculation, the real-time processing pressure of service end is not only alleviated, the efficiency of rights and interests granting is improved；And can improve
Rights and interests and the matching degree of user's request, improve rights and interests utilization rate.
In one of the application application example, third party's shopping platform holds multiple marketing activities simultaneously, and user can be with
Each marketing activity is participated in by the client installed in its terminal, these marketing activities are carried out by the way of scraping award, different
Marketing activity correspond to different prize ponds, each prize pond is made up of multiple different prizes.Third party's shopping platform is limited
The daily total scraping award number of times of each user is made secondary no more than T (T is natural number).
The service end of third party's shopping platform includes member system, three parts of marketing system and prize commending system, point
Do not operate on different logical servers.Wherein, member system is used for interacting with the client of user, audits user's
Prize drawing condition etc., marketing system is used for managing prize pond and prize, and prize commending system is used for calculating user in each marketing work
Recommendation prize (recommendation rights and interests) in dynamic.User terminal, member system, the interaction of marketing system and prize commending system are such as
Shown in Fig. 2.
Prize commending system obtains the prize of each marketing activity from marketing system before member system opens prize drawing to user
Product pond, joins according to the regular state of each user that (not shown) is obtained from the data warehouse of third party's shopping platform
Number and historical behavior record, for different marketing activities, are calculated using collaborative filtering (a kind of predetermined proposed algorithm) and encouraged
The recommendation of each prize in product pond, using one recommendation prize as the user in the marketing activity of recommendation highest.
Prize commending system calculates recommendation prize of each user in each marketing activity, and preserves the mark of user, marketing
The corresponding relation of the mark of activity and the mark of recommendation prize.
User carries out the lottery operation of some marketing activity in the client of its terminal, and client is sent to member system
Prize drawing request, carries the mark of the marketing activity in prize drawing request.Member system takes out the same day of each user in daily zero point
Level of prize number is set to T, after the prize drawing for receiving some subscription client is asked, and member system reads the same day prize drawing time of the user
Number, if same day prize drawing number of times has been 0, the response of " same day prize drawing number of times has been used up " is returned to client.
If the same day prize drawing number of times of user is more than 0, member system extracts the marketing activity mark in prize drawing request, will seek
Pin activity mark and user's mark are sent to prize commending system.The corresponding relation of prize commending system reading and saving, by correspondence
Member system is returned in the recommendation prize mark that the marketing activity is identified, the user identifies.Prize commending system markets this
In movable prize pond for the user time high prize of recommendation as recommending prize, and update the user of preservation mark,
The corresponding relation of the mark of marketing activity and the mark of recommendation prize.
Member system initiates prize to marketing system and reduces request, including the mark for recommending prize, can also include
The mark of marketing activity.Marketing system returns to member system after the quantity for recommending prize is reduced and reduces successful response.
The same day prize drawing number of times of the user is subtracted 1 by member system, by the mark of the user, recommends the mark of prize to be stored in
In the database for having provided prize, returned to the client of the user and recommend prize, be used as the prize drawing prize of the user.
When user uses prize by client, member system can record the service condition of prize.Prize commending system
The service condition of prize is read with some cycles, for optimizing collaborative filtering, to improve the utilization rate of prize.
Corresponding with the realization of above-mentioned flow, embodiments herein additionally provides a kind of device for providing rights and interests.The device can
To be realized by software, it can also be realized by way of hardware or software and hardware combining.Exemplified by implemented in software, logic is used as
Device in meaning, is to be calculated by the CPU (Central Process Unit, central processing unit) of place equipment by corresponding
Machine programmed instruction reads what operation in internal memory was formed.For hardware view, except the CPU shown in Fig. 3, internal memory and it is non-easily
Outside the property lost memory, the equipment where providing the device of rights and interests generally also includes being used to carry out chip of wireless signal transmitting-receiving etc.
Other hardware, and/or other hardware such as board for realizing network communicating function.
Fig. 4 show a kind of device of granting rights and interests of the embodiment of the present application offer, applies in service end, including advowson
Beneficial determining unit and recommendation rights and interests issuance unit, wherein：Rights and interests determining unit is recommended to be used for the regular state ginseng based on user
Number and/or historical behavior record, the recommendation of N number of optional rights and interests is calculated using predetermined proposed algorithm, and recommendation highest M is individual
Preserved as rights and interests are recommended；N is the natural number more than or equal to 2, and M is the natural number less than N；Rights and interests issuance unit is recommended to be used to work as
When certain user meets predetermined rights and interests granting condition, the recommendation rights and interests of the user are read, the user is issued to.
Optionally, the regular state parameter of the user includes：The geographical position that user resides；The optional rights and interests bag
Include：The rights and interests used under online；The predetermined proposed algorithm when other conditions are identical, using the rights and interests geographical position away from
The geographical position resided from user is closer to being that the rights and interests assign higher recommendation.
Optionally, the historical behavior record of the user includes the history consumer record of user；The predetermined proposed algorithm
It is that the optional rights and interests imparting for the consumption feature that more matching user's history consumer record is embodied is higher when other conditions are identical
Recommendation.
Optionally, the predetermined proposed algorithm includes：Greedy algorithm, exponential damping algorithm or collaborative filtering.
Optionally, described device also includes：Algorithm adjustment unit, for the use according to user to the recommendation rights and interests of granting
Situation, tuning is carried out to predetermined proposed algorithm, and the utilization rate recommended after rights and interests is provided to improve.
Optionally, described device also includes：Optional rights and interests unit, for the service parameter according to user, according to business rule
The optional rights and interests of user are then determined in rights and interests pond.
Optionally, the predetermined rights and interests are provided condition and included：The rights and interests for receiving certain user get request, and the user
Meet rights and interests and get condition.
The preferred embodiment of the application is the foregoing is only, not to limit the application, all essences in the application
God is with principle, and any modification, equivalent substitution and improvements done etc. should be included within the scope of the application protection.
In a typical configuration, computing device includes one or more processors (CPU), input/output interface, net
Network interface and internal memory.
Internal memory potentially includes the volatile memory in computer-readable medium, random access memory (RAM) and/or
The forms such as Nonvolatile memory, such as read-only storage (ROM) or flash memory (flash RAM).Internal memory is computer-readable medium
Example.
Computer-readable medium includes permanent and non-permanent, removable and non-removable media can be by any method
Or technology come realize information store.Information can be computer-readable instruction, data structure, the module of program or other data.
The example of the storage medium of computer includes, but are not limited to phase transition internal memory (PRAM), static RAM (SRAM), moved
State random access memory (DRAM), other kinds of random access memory (RAM), read-only storage (ROM), electric erasable
Programmable read only memory (EEPROM), fast flash memory bank or other memory techniques, read-only optical disc read-only storage (CD-ROM),
Digital versatile disc (DVD) or other optical storages, magnetic cassette tape, the storage of tape magnetic rigid disk or other magnetic storage apparatus
Or any other non-transmission medium, the information that can be accessed by a computing device available for storage.Define, calculate according to herein
Machine computer-readable recording medium does not include temporary computer readable media (transitory media), such as data-signal and carrier wave of modulation.
It should also be noted that, term " comprising ", "comprising" or its any other variant are intended to nonexcludability
Comprising so that process, method, commodity or equipment including a series of key elements are not only including those key elements, but also wrap
Include other key elements being not expressly set out, or also include for this process, method, commodity or equipment intrinsic want
Element.In the absence of more restrictions, the key element limited by sentence "including a ...", it is not excluded that wanted including described
Also there is other identical element in process, method, commodity or the equipment of element.
It will be understood by those skilled in the art that embodiments herein can be provided as method, system or computer program product.
Therefore, the application can be using the embodiment in terms of complete hardware embodiment, complete software embodiment or combination software and hardware
Form.Deposited moreover, the application can use to can use in one or more computers for wherein including computer usable program code
The shape for the computer program product that storage media is implemented on (including but is not limited to magnetic disk storage, CD-ROM, optical memory etc.)
Formula.
Claims (14)
1. a kind of method for providing rights and interests, it is characterised in that including：
Regular state parameter and/or historical behavior record based on user, N number of optional rights and interests are calculated using predetermined proposed algorithm
Recommendation, recommendation highest M is used as and recommends rights and interests to preserve；N is the natural number more than or equal to 2, and M is oneself less than N
So count；
When certain user, which meets predetermined rights and interests, provides condition, the recommendation rights and interests of the user are read, the user is issued to.
2. according to the method described in claim 1, it is characterised in that the regular state parameter of the user includes：User is normal
The geographical position stayed；The optional rights and interests include：The rights and interests used under online；The predetermined proposed algorithm is identical in other conditions
When, the geographical position resided using the geographical position of the rights and interests apart from user is closer to being that the rights and interests assign higher recommendation
Value.
3. according to the method described in claim 1, it is characterised in that the historical behavior record of the user includes the history of user
Consumer record；The predetermined proposed algorithm, when other conditions are identical, is more disappearing of being embodied of matching user's history consumer record
The optional rights and interests for taking feature assign higher recommendation.
4. according to the method described in claim 1, it is characterised in that the predetermined proposed algorithm includes：Greedy algorithm, index decline
Cut algorithm or collaborative filtering.
5. according to the method described in claim 1, it is characterised in that methods described also includes：Recommendation according to user to granting
The service condition of rights and interests, tuning is carried out to predetermined proposed algorithm, and the utilization rate recommended after rights and interests is provided to improve.
6. according to the method described in claim 1, it is characterised in that methods described also includes：According to the service parameter of user, according to
The optional rights and interests of user are determined in rights and interests pond according to business rule.
7. according to the method described in claim 1, it is characterised in that the predetermined rights and interests, which provide condition, to be included：Receive certain user
Rights and interests get request, and the user meets rights and interests and gets condition.
8. a kind of device for providing rights and interests, it is characterised in that including：
Recommend rights and interests determining unit, recorded for the regular state parameter based on user and/or historical behavior, pushed away using predetermined
The recommendation that algorithm calculates N number of optional rights and interests is recommended, M preserves as recommendation rights and interests using recommendation highest；N is more than or equal to 2
Natural number, M is natural number less than N；
Recommend rights and interests issuance unit, for when certain user meets predetermined rights and interests and provides condition, reading the advowson of the user
Benefit, is issued to the user.
9. device according to claim 8, it is characterised in that the regular state parameter of the user includes：User is normal
The geographical position stayed；The optional rights and interests include：The rights and interests used under online；The predetermined proposed algorithm is identical in other conditions
When, the geographical position resided using the geographical position of the rights and interests apart from user is closer to being that the rights and interests assign higher recommendation
Value.
10. device according to claim 8, it is characterised in that the historical behavior record of the user includes going through for user
History consumer record；The predetermined proposed algorithm matches user's history consumer record when other conditions are identical, more and embodied
The optional rights and interests of consumption feature assign higher recommendation.
11. method according to claim 8, it is characterised in that the predetermined proposed algorithm includes：Greedy algorithm, index
Decay algorithm or collaborative filtering.
12. device according to claim 8, it is characterised in that described device also includes：Algorithm adjustment unit, for root
According to service condition of the user to the recommendation rights and interests of granting, tuning is carried out to predetermined proposed algorithm, recommended with improving to provide after rights and interests
Utilization rate.
13. device according to claim 8, it is characterised in that described device also includes：Optional rights and interests unit, for root
According to the service parameter of user, the optional rights and interests of user are determined in rights and interests pond according to business rule.
14. device according to claim 8, it is characterised in that the predetermined rights and interests, which provide condition, to be included：Receive certain user
Rights and interests get request, and the user meets rights and interests and gets condition.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201710100953.9A CN107038600A (en) | 2017-02-23 | 2017-02-23 | The method and apparatus for providing rights and interests |
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| CN201710100953.9A CN107038600A (en) | 2017-02-23 | 2017-02-23 | The method and apparatus for providing rights and interests |
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108230046A (en) * | 2018-01-31 | 2018-06-29 | 优酷网络技术（北京）有限公司 | The distribution method and device of user's right |
| CN109598542A (en) * | 2018-11-20 | 2019-04-09 | 阿里巴巴集团控股有限公司 | A kind of put-on method, device and the electronic equipment of equity of marketing |
| CN110046736A (en) * | 2018-12-20 | 2019-07-23 | 阿里巴巴集团控股有限公司 | Equity recommended method, device and equipment |
| WO2019192138A1 (en) * | 2018-04-04 | 2019-10-10 | 平安科技（深圳）有限公司 | Information processing method and system, electronic device and storage medium |
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| WO2019192138A1 (en) * | 2018-04-04 | 2019-10-10 | 平安科技（深圳）有限公司 | Information processing method and system, electronic device and storage medium |
| CN109598542A (en) * | 2018-11-20 | 2019-04-09 | 阿里巴巴集团控股有限公司 | A kind of put-on method, device and the electronic equipment of equity of marketing |
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| CN110046736B (en) * | 2018-12-20 | 2023-12-12 | 创新先进技术有限公司 | Rights and interests recommending method, device and equipment |
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| CN111242338A (en) * | 2020-03-06 | 2020-06-05 | 北京三快在线科技有限公司 | Card acquisition method, device, terminal and storage medium |
| CN111586162A (en) * | 2020-05-06 | 2020-08-25 | 支付宝(杭州)信息技术有限公司 | Information pushing method and system |
| CN112508610A (en) * | 2020-12-11 | 2021-03-16 | 广州华多网络科技有限公司 | Member gift issuing method, member gift issuing device, computer device and readable storage medium |
| WO2022121153A1 (en) * | 2020-12-11 | 2022-06-16 | 广州华多网络科技有限公司 | Member gift issuing method and apparatus, computer device, and readable storage medium |
| CN112819521A (en) * | 2021-01-29 | 2021-05-18 | 广州华多网络科技有限公司 | Consumption rights and interests multi-rule matching method and device, equipment and medium thereof |
| CN113706204A (en) * | 2021-08-31 | 2021-11-26 | 中国平安财产保险股份有限公司 | Deep learning-based rights and interests issuing method, device, equipment and storage medium |
| CN113706204B (en) * | 2021-08-31 | 2024-04-05 | 中国平安财产保险股份有限公司 | Deep learning-based rights issuing method, device, equipment and storage medium |
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