CN105631706A - Method and device for processing recommended information - Google Patents
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- CN105631706A CN105631706A CN201510973287.0A CN201510973287A CN105631706A CN 105631706 A CN105631706 A CN 105631706A CN 201510973287 A CN201510973287 A CN 201510973287A CN 105631706 A CN105631706 A CN 105631706A
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- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
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- G06Q30/0254—Targeted advertisements based on statistics
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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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- G06Q30/02—Marketing; Price estimation or determination; Fundraising
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- G06Q30/0277—Online advertisement
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Abstract
The embodiment of the invention discloses a method and a device for processing recommended information. The method comprises steps: a target user and recognition information of an acquaintance of the target user are acquired; according to the recognition information, at least one piece of consumption or use information corresponding to the recognition information in a target platform is acquired, wherein the target platform refers to a common product platform and a common service platform; the acquired consumption or use information is counted and analyzed according to a preset rule, and the counting and analyzing result serves as part or all of a recommended content to be pushed to the target user. By adopting the method and the device of the invention, the counting and analyzing result of the consumption or use information of the target user and the acquaintance can be targetedly pushed to the target user, enthusiasm for consumption or service use by the target user is thus improved, and the flexibility and the interactivity for information recommendation are enhanced.
Description
Technical field
The present invention relates to computer communication field, particularly relate to processing method and the device of a kind of recommendation information.
Background technology
Advertisement, namely so-called " publicizing widely ", its essence is to propagate, " advertisement " of narrow sense only refers to economic advertisement, also known as commercial advertisement, refer to the advertisement for the purpose of profit, it is common that between commodity producers, operator and consumer, link up the important means of information, or enterprise dominates the market, promotes the sale of products, the important form of utility service, main purpose is to expand economic benefit.
And along with the consumer sale activity of the Internet gets more and more, the web advertisement also arises at the historic moment, the web advertisement refers to that release platform utilizes the methods such as the ad banner on website, text link, multimedia in a kind of function mode of the Internet publication or releasing advertisements. When people buy the various service item of commodity, the transaction carrying out second-hand article and online ordering by Online Store, the web advertisement is seen everywhere, not only become and network trading platform is propagated and the important channel promoted and means, and the impact of the consuming behavior of people is more and more important.
But in prior art, the web advertisement is mainly based on targeted ads, and ad content is fixed, lacked alternately and do not have specific aim, and the audient of advertisement really participates in advertisement, and sense of participation and input sense are not enough, thus causing that effect of advertising are had a greatly reduced quality.
Summary of the invention
Embodiment of the present invention technical problem to be solved is in that, processing method and the device of a kind of recommendation information are provided, improve targeted customer and carry out consuming or using the enthusiasm of service, solve advertisement or recommendation information content in prior art and fix, and the problem of lacking of property and interactivity.
First aspect, embodiments provides the processing method of a kind of recommendation information, it may include:
Obtain the identification information of the acquaintance people of targeted customer and described targeted customer;
According at least one consumption corresponding with described identification information in described identification acquisition of information target platform or the information of use, described target platform refers to mill run platform and generic services platform, described mill run refers to the product not possessing contest or game attributes, and described generic services refers to the service not possessing contest or game attributes;
The described consumption obtained or use information are carried out statistical analysis according to preset rules, and statistic analysis result is partly or entirely pushed to described targeted customer as content recommendation.
In conjunction with first aspect, in the implementation that the first is possible, described acquaintance people includes the directly acquaintance people of described targeted customer and indirectly knows each other people, described direct acquaintance people includes the personnel that there is direct link mode or relationship record between described targeted customer, wherein, described direct link mode includes telephone number, mail account, social platform account or application account, described relationship record includes log, finance are transferred accounts record or payment record; Described indirect acquaintance people refers to the personnel having one or more identical described direct acquaintance people in the non-immediate acquaintance people of described targeted customer with described targeted customer.
In conjunction with first aspect, in the implementation that the second is possible, described identification information includes at least one in name, telephone number, mail account, identification card number, social platform account, social platform user name, biometric information, identity documents number, bank's card number, transaction platform account, transaction platform user name, network account or network user's name.
In conjunction with any one mode in the implementation that the first possible implementation of first aspect or first aspect or the second of first aspect are possible, in the implementation that the third is possible, the identification information of the described acquaintance people obtaining targeted customer and described targeted customer, including:
Obtain the identification information of the acquaintance people of the unsolicited described targeted customer of targeted customer and described targeted customer; Or
Use or automatically obtain the described identification information preserved in the terminal that described targeted customer uses; Or
Described identification information is obtained from described mill run platform and generic services platform; Or
Described identification information is obtained from third party.
In conjunction with any one mode in the implementation that the first possible implementation of first aspect or first aspect or the second of first aspect are possible, in the 4th kind of possible implementation, described statistic analysis result is pushed to described targeted customer, including:
Statistic analysis result is pushed to the terminal that described targeted customer uses or the account bound with the identification information of described targeted customer.
In conjunction with any one mode in the implementation that the first possible implementation of first aspect or first aspect or the second of first aspect are possible, in the 5th kind of possible implementation, described consumption or use information include following at least one: consumption or the kind of object used, quality, the amount of money, quantity, consumption or the time used, place, frequency, cost;
The described described consumption by acquisition or use information carry out statistical analysis according to preset rules, including:
Undertaken concluding by the described consumption obtained or use information, analyze, computing, merge or collect, and by statistic analysis result by enumerating, sorting, accounting, trend or way of contrast represent.
In conjunction with any one mode in the implementation that the first possible implementation of first aspect or first aspect or the second of first aspect are possible, in the 6th kind of possible implementation, described consumption or use information include consumption or the use information of the first mill run in preset time period, or the consumption of first service or the information of use;
Described the described consumption obtained or use information are carried out statistical analysis according to preset rules, and statistic analysis result is partly or entirely pushed to described targeted customer as content recommendation, including:
According to the spending amount of the first mill run in described preset time period, quantity purchase or use the height of positive rating to carry out statistics ranking the described consumption obtained or use information, and statistics ranking result is partly or entirely pushed to described targeted customer as content recommendation; Or
According to the number of users of first service in described preset time period or use the height of positive rating to carry out statistics ranking the described consumption obtained or use information, and statistics ranking result is partly or entirely pushed to described targeted customer as content recommendation.
In conjunction with any one mode in the implementation that the first possible implementation of first aspect or first aspect or the second of first aspect are possible, in the 7th kind of possible implementation, described consumption or use information include consumption or the use information of the second mill run in preset time period, or the consumption of second service or the information of use;
Described the described consumption obtained or use information are carried out statistical analysis according to preset rules, and statistic analysis result is partly or entirely pushed to described targeted customer as content recommendation, including:
The consumption of described second mill run according to acquisition or the information of use, the total quantity purchase in described preset time period of the second mill run described in analytic statistics; When described total quantity purchase or total favorable comment number exceed preset number, described second mill run is recommended described targeted customer; Or
Consumption according to the described second service obtained or the information of use, the total number of users in described preset time period of the second service described in analytic statistics or total favorable comment number; When described total number of users or total favorable comment number exceed preset number, described second service is recommended described targeted customer.
Second aspect, embodiments provides the process device of a kind of recommendation information, it may include:
First acquisition module, for obtaining the identification information of the acquaintance people of targeted customer and described targeted customer;
Second acquisition module, for according at least one consumption corresponding with described identification information in described identification acquisition of information target platform or the information of use, described target platform refers to mill run platform and generic services platform, described mill run refers to the product not possessing contest or game attributes, and described generic services refers to the service not possessing contest or game attributes;
Statistical analysis module, for the described consumption obtained or use information are carried out statistical analysis according to preset rules,
Information recommendation module, for being partly or entirely pushed to described targeted customer using statistic analysis result as content recommendation.
In conjunction with second aspect, in the implementation that the first is possible, described acquaintance people includes the directly acquaintance people of described targeted customer and indirectly knows each other people, described direct acquaintance people includes the personnel that there is direct link mode or relationship record between described targeted customer, wherein, described direct link mode includes telephone number, mail account, social platform account or application account, described relationship record includes log, finance are transferred accounts record or payment record; Described indirect acquaintance people refers to the personnel having one or more identical described direct acquaintance people in the non-immediate acquaintance people of described targeted customer with described targeted customer.
In conjunction with second aspect, in the implementation that the second is possible, described identification information includes at least one in name, telephone number, mail account, identification card number, social platform account, social platform user name, biometric information, identity documents number, bank's card number, transaction platform account, transaction platform user name, network account or network user's name.
In conjunction with any one mode in the implementation that the first possible implementation of second aspect or second aspect or the second of second aspect are possible, in the implementation that the third is possible, described first acquisition module, including:
First acquiring unit, for obtaining the identification information of the acquaintance people of the unsolicited described targeted customer of targeted customer and described targeted customer; Or
Second acquisition unit, for using or automatically obtaining the described identification information preserved in the terminal of described targeted customer use; Or
3rd acquiring unit, for obtaining described identification information from described mill run platform and generic services platform; Or
4th acquiring unit, for obtaining described identification information from third party.
In conjunction with any one mode in the implementation that the first possible implementation of second aspect or second aspect or the second of second aspect are possible, in the 4th kind of possible implementation, it is characterised in that described information recommendation module, specifically for:
Statistic analysis result is pushed to the terminal that described targeted customer uses or the account bound with the identification information of described targeted customer.
In conjunction with any one mode in the implementation that the first possible implementation of second aspect or second aspect or the second of second aspect are possible, in the 5th kind of possible implementation, described consumption or use information include following at least one: consumption or the kind of object used, quality, the amount of money, quantity, consumption or the time used, place, frequency, cost;
Described statistical analysis module, specifically for:
Undertaken concluding by the described consumption obtained or use information, analyze, computing, merge or collect, and by statistic analysis result by enumerating, sorting, accounting, trend or way of contrast represent.
In conjunction with any one mode in the implementation that the first possible implementation of second aspect or second aspect or the second of second aspect are possible, in the 6th kind of possible implementation, described consumption or use information include consumption or the use information of the first mill run in preset time period, or the consumption of first service or the information of use;
Described statistical analysis module, including:
First statistical analysis unit, for according to the spending amount of the first mill run, quantity purchase in described preset time period or using the height of positive rating to carry out statistics ranking the described consumption obtained or use information; Or
Second statistical analysis unit, for carrying out statistics ranking by the described consumption obtained or use information according to the number of users of first service in described preset time period or the height of use positive rating.
In conjunction with any one mode in the implementation that the first possible implementation of second aspect or second aspect or the second of second aspect are possible, in the 7th kind of possible implementation, described consumption or use information include consumption or the use information of the second mill run in preset time period, or the consumption of second service or the information of use;
Described statistical analysis module specifically for: according to obtain described second mill run consumption or use information, the total quantity purchase in described preset time period of the second mill run described in analytic statistics;
Described information recommendation module specifically for: when described total quantity purchase or total favorable comment number exceed preset number, described second mill run is recommended described targeted customer; Or
Described statistical analysis module specifically for: according to the consumption of the described second service obtained or the information of use, the total number of users in described preset time period of the second service described in analytic statistics or total favorable comment number;
Described information recommendation module specifically for: when described total number of users or total favorable comment number exceed preset number, described second service is recommended described targeted customer.
Implement the embodiment of the present invention, have the advantages that
The embodiment of the present invention, by obtaining the identification information of the acquaintance people of targeted customer and described targeted customer, and according at least one consumption corresponding with described identification information in described identification acquisition of information target platform or the information of use, the described consumption or the use information that obtain the most at last carry out statistical analysis according to preset rules, and statistic analysis result is partly or entirely pushed to described targeted customer as content recommendation, thus improving user to carry out consuming or using the enthusiasm of service, too increase motility and the interactivity of information recommendation simultaneously.
Accompanying drawing explanation
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, the accompanying drawing used required in embodiment or description of the prior art will be briefly described below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the premise not paying creative work, it is also possible to obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is the schematic flow sheet of the processing method of a kind of recommendation information in the embodiment of the present invention;
Fig. 2 is the schematic flow sheet of the processing method of the another kind of recommendation information in the embodiment of the present invention;
Fig. 3 is a concrete application scenarios schematic diagram of the processing method of recommendation information in the embodiment of the present invention;
Fig. 4 is another concrete application scenarios schematic diagram of the processing method of recommendation information in the embodiment of the present invention;
Fig. 5 is another concrete application scenarios schematic diagram of the processing method of recommendation information in the embodiment of the present invention;
Fig. 6 is another concrete application scenarios schematic diagram of the processing method of recommendation information in the embodiment of the present invention;
Fig. 7 is the structural representation processing device of the recommendation information that the embodiment of the present invention provides;
Fig. 8 is the structural representation of the first acquisition module that the embodiment of the present invention provides;
Fig. 9 is the structural representation of the statistical analysis module that the embodiment of the present invention provides.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is only a part of embodiment of the present invention, rather than whole embodiments. Based on the embodiment in the present invention, the every other embodiment that those of ordinary skill in the art obtain under not making creative work premise, broadly fall into the scope of protection of the invention.
Although it should be noted that use term first, second grade to describe unit or module herein, but these unit or module should should not be limited by these terms, these terms are only applied to be distinguished from each other. The term used in embodiments of the present invention is only merely for the purpose describing specific embodiment, and is not intended to be limiting the present invention. " one ", " described " and " being somebody's turn to do " of the singulative used in the embodiment of the present invention and appended claims is also intended to include most form, unless context clearly shows that other implications. It is also understood that term "and/or" used herein refers to and comprises any or all of one or more project of listing being associated and be likely to combination. " including " used herein word, it is intended to express the meaning included but not limited to, and be not intended to the content constraints included within the scope listed, unless context clearly represents other implications.
It can further be stated that, the action executing main body of the processing method of the recommendation information in the present invention is to operate in one or one group of software on one or one group of hardware, type of hardware and composition form can unrestricted choice, software only needs and Hardware match realize corresponding function, other is unrestricted, can be such as ad distribution server can also be big data processing server, can also is that shopping, the server of transaction or service platform etc., but for describing simplicity, the hereafter action executing main body of the default processing method all referring to recommendation information with Advertisement Server. terminal in the present invention includes but are not limited to smart mobile phone, panel computer, media player, intelligent television, Intelligent bracelet, Intelligent worn device, MP3 player (MovingPictureExpertsGroupAudioLayerIII, dynamic image expert's compression standard audio frequency aspect 3), MP4 (MovingPictureExpertsGroupAudioLayerIV, dynamic image expert's compression standard audio frequency aspect 3) player, personal digital assistant (PersonalDigitalAssistant, PDA) subscriber equipment such as pocket computer on knee and desk computer.
Fig. 1 is the schematic flow sheet of the processing method of a kind of recommendation information in the embodiment of the present invention, the processing method of a kind of recommendation information the embodiment of the present invention is described in detail from the one side of ad distribution server below in conjunction with accompanying drawing 1, as it is shown in figure 1, the processing method of a kind of recommendation information in the present embodiment may comprise steps of S101-step S103.
Step S101: obtain the identification information of the acquaintance people of targeted customer and described targeted customer.
Specifically, acquaintance people includes the directly acquaintance people of targeted customer and indirectly knows each other people, wherein directly know each other the personnel that people includes there is direct link mode or relationship record between targeted customer, direct link mode includes telephone number, mail account, social platform account or application account, relationship record includes log, finance are transferred accounts record or payment record; Acquaintance people refers to and has the one or more identical personnel directly knowing each other people in the non-immediate acquaintance people of targeted customer with targeted customer indirectly. Identification information can include at least one in name, telephone number, mail account, identification card number, social platform account, social platform user name, biometric information, identity documents number, bank's card number, transaction platform account, transaction platform user name, network account or network user's name.
Further, the mode of the identification information obtaining the acquaintance people of targeted customer and targeted customer can comprise multiple, as obtained the identification information of the acquaintance people of the unsolicited targeted customer of targeted customer and targeted customer; Or use or automatically obtain the identification information preserved in the terminal that targeted customer uses; Or from mill run platform and generic services platform, obtain identification information; Or obtain described identification information from third party. Such as, know each other people and may refer to the acquaintance people on cell phone address book, it is also possible to be in certain social platform, carry out mutual acquaintance people, the indirect people of acquaintance that can also is that the common good friend paid close attention to paid close attention to or establish consumption or the acquaintance people of the information of use.
Step S102: according at least one consumption corresponding with described identification information in described identification acquisition of information target platform or the information of use.
Specifically, target platform refers to mill run platform and generic services platform, and wherein mill run refers to the product not possessing contest or game attributes, for instance, daily life consumer products, office accommodation etc.; Generic services refers to the service not possessing contest or game attributes, for instance estate management service, the handy service for the people etc. Consumption or use information may include that the type of consumption, purchaser's name, account name, consumption businessman; The quantity of goods, kind, quality, frequency, cost, time, place, mode etc. Namely consumption information can include all itemized record of consumption. Use information then may include that user uses certain mill run or the type of service, title, time, evaluation, place, mode, frequency etc. Such as, target platform can be shopping at network platform, network service platform or other any platform having consumption, bargain link or providing generic services. Owing to relating to consumption or the login account that service platform generally all includes and phone number or bank's card number etc. are bound used, therefore consumption corresponding with the identification information of targeted customer and acquaintance people in target platform or the information of use are obtained, can pass through first to obtain in target transaction platform and match with the information of identification (the identification information of targeted customer and acquaintance people) or establish the login account of binding relationship, go to obtain corresponding consumption or use information further according to the login account determined. Such as when identification information is phone number, and when the login account of target platform is phone number, then can directly obtain consumption corresponding to this phone number (i.e. login account) or the information of use; And for example, when identification information is mailbox, and the login account of target platform is when being user-defined account name, owing to this user-defined account name has been bound with mailbox, the account name that then can first obtain and take the binding of this mailbox, obtains corresponding consumption or the information of use further according to account name.
Step S103: the described consumption obtained or use information are carried out statistical analysis according to preset rules, and statistic analysis result is partly or entirely pushed to described targeted customer as content recommendation.
Specifically, consumption or use information according to the demand of each target platform, can be analyzed arranging, then add up ranking by preset rules. It not that consumption or use information are simply enumerated, but to consumption or the information of use, as kind, quality, frequency, cost, time, place, mode etc. carry out concluding, analyze, computing, merging etc. process, embody the difference between targeted customer and its acquaintance people and compare, and can be displayed by modes such as sequence, accounting, trend, contrasts, promote targeted customer to consume further. Further; for in statistics ranking procedure; what relate to acquaintance people's privacy information can carry out anonymity or part display according to the scope that acquaintance people authorizes is on-demand, in order to the private information of protection user so that information process hommization more, rationalization.
Yet further, it is possible to statistic analysis result is pushed to the terminal that targeted customer uses or the various types of flat account family bound with the identification information of targeted customer. The mode of such as output statistics ranking result can be with mail, advertisement, note, notice, plays the various promptings such as frame or exhibition method exports. And can recommend to be shown on the mobile phone of targeted customer, it is also possible to be sent in disparate networks account or the mailbox of targeted customer, in order to user can receive advertisement or information recommendation whenever and wherever possible. It is emphasized that, the statistics ranking result of final output in this method step, it can be the statistics ranking of partial information in consumption or use information, it can also be the statistics ranking of full detail, namely concrete output information, it is possible to adjust flexibly according to the personal interest of targeted customer or initial setting up etc. It is understandable that, consumption or the acquisition of the information of use in ad distribution server in this method embodiment can be obtain from target platform in real time, can also being obtained and stored in advance in ad distribution server in certain period of time or time point, this is not especially limited by the present invention.
The embodiment of the present invention, by obtaining the identification information of the acquaintance people of targeted customer and described targeted customer, and according at least one consumption corresponding with described identification information in described identification acquisition of information target platform or the information of use, the described consumption or the use information that obtain the most at last carry out statistical analysis according to preset rules, and statistic analysis result is partly or entirely pushed to described targeted customer as content recommendation, thus improving user to carry out consuming or using the enthusiasm of service, too increase motility and the interactivity of information recommendation simultaneously.
Fig. 2 is the schematic flow sheet of the processing method of the another kind of recommendation information in the embodiment of the present invention, the processing method of the another kind of recommendation information the embodiment of the present invention is described in detail from the one side of ad distribution server below in conjunction with accompanying drawing 2, as in figure 2 it is shown, the processing method of the another kind of recommendation information in the embodiment of the present invention may comprise steps of S201-step S203.
Step S201: obtain the identification information of the acquaintance people of targeted customer and described targeted customer.
Specifically, it is possible to corresponding to the method step S101 in Fig. 1 embodiment, do not repeat them here.
Step S202: according at least one consumption corresponding with described identification information in described identification acquisition of information target platform or the information of use, described target platform refers to mill run platform and generic services platform, described mill run refers to the product not possessing contest or game attributes, and described generic services refers to the service not possessing contest or game attributes.
Specifically, it is possible to corresponding to the method step S102 in Fig. 1 embodiment, do not repeat them here.
Step S203: undertaken concluding by the described consumption obtained or use information, analyze, computing, merge or collect, and by statistic analysis result by enumerating, sort, accounting, trend or way of contrast represent, and as content recommendation, statistic analysis result are partly or entirely pushed to described targeted customer.
Further, above-mentioned steps S203, it is also possible to realized by embodiment in detail below:
Embodiment one: described consumption or use information include consumption or the use information of the first mill run in preset time period, or the consumption of first service or the information of use;
According to the spending amount of the first mill run in described preset time period, quantity purchase or use the height of positive rating to carry out statistics ranking the described consumption obtained or use information, and statistics ranking result is partly or entirely pushed to described targeted customer as content recommendation; Or
According to the number of users of first service in described preset time period or use the height of positive rating to carry out statistics ranking the described consumption obtained or use information, and statistics ranking result is partly or entirely pushed to described targeted customer as content recommendation.
Embodiment two: described consumption or use information include consumption or the use information of the second mill run in preset time period, or the consumption of second service or the information of use;
The consumption of described second mill run according to acquisition or the information of use, the total quantity purchase in described preset time period of the second mill run described in analytic statistics; When described total quantity purchase or total favorable comment number exceed preset number, described second mill run is recommended described targeted customer; Or
Consumption according to the described second service obtained or the information of use, the total number of users in described preset time period of the second service described in analytic statistics or total favorable comment number; When described total number of users or total favorable comment number exceed preset number, described second service is recommended described targeted customer.
Embodiment one in the embodiment of the present invention and the method step of embodiment two are for some concrete product, it is such as that user is about to the commodity of purchase or the commodity that user is interested, can also be that ad distribution server extrapolates, by preset algorithm, the commodity that user buys possibly, more targeted, recommendation and the propelling movement of information can also be carried out more accurately, thus reaching better effect of advertising according to the actual demand of targeted customer.
Yet further, ad distribution server can also preset virtual resource to the terminal bound with the identification information of described targeted customer or all kinds of account granting. Such as, when targeted customer's ranking is forward, then to reward the form of virtual resource, encourage user to redouble one's efforts, boost consumption. Such as when default ranking is fourth, then when targeted customer obtains front three, then with the form of ideal money or bonus, user can be rewarded, to improve the enthusiasm of user further, thus strengthening the effect of advertisement.
It is understandable that; concrete statistical analysis rule; can according to the character of objectives platform; or the actual demand of user carries out concrete setting; statistical analysis rule in this method step is not especially limited by the present invention; as long as consumption or the preset rules of service enthusiasm can be conducive to, belong to the present invention and protected the scope contained.
The embodiment of the present invention, by obtaining the identification information of the acquaintance people of targeted customer and described targeted customer, and according at least one consumption corresponding with described identification information in described identification acquisition of information target platform or the information of use, the described consumption or the use information that obtain the most at last carry out statistical analysis according to preset rules, and statistic analysis result is partly or entirely pushed to described targeted customer as content recommendation, thus improving user to carry out consuming or using the enthusiasm of service, too increase motility and the interactivity of information recommendation simultaneously.
In concrete application scenarios, as shown in Figure 3, Fig. 3 is a concrete application scenarios schematic diagram of the processing method of recommendation information in the embodiment of the present invention, assume to apply the inventive method to certain electricity business's platform, after consumer logs on electricity business's platform by the mobile phone A PP (consumer applications) that electricity business's platform provides, consumer pointed out by platform, whether wonder consumer's this month spending amount consumption ranking in the contact person that its cell phone address book is retained, consumer clicks " wondering ", ad distribution server in the present invention extracts consumer's cell phone address book under the cooperation of electricity business platform APP and automatically uploads, the phone number registering user in telephone number in address list and electricity business's platform is mated by ad distribution server, extract this consumer and directly know each other consumption or the use information of people, ranking is carried out after Data Analysis Services, and using ranking information as electricity business's platform promotional advertisement a part be pushed to this consumer, the ranking that prompting consumer is current, and inform that if consumer ranking within this month rises, some form of award will be subject to. after consumer receives advertisement, under the ordering about of emulation, increase purchase dynamics.
In concrete application scenarios, as shown in Figure 4, Fig. 4 is another concrete application scenarios schematic diagram of the processing method of recommendation information in the embodiment of the present invention, assume to apply the inventive method to certain purchase clothing online platform, certain consumer is this platform registration user, uploaded the identification information of acquaintance people, and agree to this purchase clothing online platform by this platform to oneself intelligently pushing product. One day, consumer bought certain dress ornament at this platform, ad distribution server is added up by analysis, find that its acquaintance people has many people once to buy dress ornament in same shop, and have many people to have purchased the dress ornament of the same color of same style, speculate that the probability of resemblance in wearing is very big, then by this information alert consumer, and additionally several dress ornament shops are recommended; Or, for end article, the purchase number of packages according to the acquaintance people of targeted customer, pointing out this end article purchase temperature in its acquaintance people, user can make a choice voluntarily according to concrete consumption or use information.
In concrete application scenarios; as shown in Figure 5; Fig. 5 is another concrete application scenarios schematic diagram of the processing method of recommendation information in the embodiment of the present invention; assume to apply the inventive method to environmental protection internet platform; green brief life advocated by this platform; encouraging consumer's water-saving and electricity-saving, this environmental protection internet platform and Running-water Company, power supply administration have connected, it is possible to what count resident family uses water electricity consumption situation. In this application, between user, can also mutually become good friend. After certain consumer logs on platform by the APP that environmental protection platform provides, this platform extracts the use water electricity consumption situation of this consumer good friend, carry out ranking after treatment, and analytic statistics information is pushed to this consumer as the part of environmental protection platform promotional advertisement, the ranking that prompting consumer is current, and inform some main environmental protection concepts of consumer, if acting on these theories, after consumer receives advertisement, based on emulation, unrealistically compare the heart and environment protection thought, wasting phenomenon can be reduced in daily life.
In concrete application scenarios, as shown in Figure 6, Fig. 6 is a concrete application scenarios schematic diagram of the processing method of recommendation information in the embodiment of the present invention, assume to apply the inventive method to Online Book Shopping store, consumer's cell phone address book is extracted in bookman website under the mandate of user allows, and the phone number registering user in the phone number in address list and bookman website is mated, extract this consumer and the information of buying books of consumer acquaintance people, after Data Analysis Services, analytic statistics goes out consumer and its acquaintance various statistical conditions of buying books of people, such as according to books kind, books quantity, books cost, frequency etc. of buying books carries out statistics ranking, and this analytic statistics information and pertinent texts recommended advertisements are pushed or is mailed to consumer, thus the purchasing behavior stimulated consumer. it is understood that implementation can be adjusted correspondingly according to the practical situation of targeted customer and target platform more specifically in the inventive method, the present invention does not enumerate.
Below in conjunction with the structural representation processing device of the recommendation information that the embodiment of the present invention shown in Fig. 7 provides, corresponding said method item describes the embodiment of device item. This device 10 comprises the steps that first acquisition module the 101, second acquisition module 102, statistical analysis module 103 and information recommendation module 104, wherein
First acquisition module 101, for obtaining the identification information of the acquaintance people of targeted customer and described targeted customer;
Second acquisition module 102, for according at least one consumption corresponding with described identification information in described identification acquisition of information target platform or the information of use, described target platform refers to mill run platform and generic services platform, described mill run refers to the product not possessing contest or game attributes, and described generic services refers to the service not possessing contest or game attributes;
Statistical analysis module 103, for the described consumption obtained or use information are carried out statistical analysis according to preset rules,
Information recommendation module 104, for being partly or entirely pushed to described targeted customer using statistic analysis result as content recommendation.
Specifically, described acquaintance people in the embodiment of the present invention includes the directly acquaintance people of described targeted customer and indirectly knows each other people, described direct acquaintance people includes the personnel that there is direct link mode or relationship record between described targeted customer, wherein, described direct link mode includes telephone number, mail account, social platform account or application account, described relationship record includes log, finance are transferred accounts record or payment record; Described indirect acquaintance people refers to the personnel having one or more identical described direct acquaintance people in the non-immediate acquaintance people of described targeted customer with described targeted customer.
Further, described identification information includes at least one in name, telephone number, mail account, identification card number, social platform account, social platform user name, biometric information, identity documents number, bank's card number, transaction platform account, transaction platform user name, network account or network user's name.
Yet further, the structural representation of the first acquisition module that the embodiment of the present invention as shown in Figure 8 provides, first acquisition module 101 may include that the first acquiring unit 1011 and second acquisition unit 1012 the 3rd acquiring unit 1013 and the 4th acquiring unit 1014, wherein
First acquiring unit 1011, for obtaining the identification information of the acquaintance people of the unsolicited described targeted customer of targeted customer and described targeted customer; Or
Second acquisition unit 1012, for using or automatically obtaining the described identification information preserved in the terminal of described targeted customer use; Or
3rd acquiring unit 1013, for obtaining described identification information from described mill run platform and generic services platform; Or
4th acquiring unit 1014, for obtaining described identification information from third party.
Yet further, the information recommendation module 104 that the embodiment of the present invention provides, specifically for:
Statistic analysis result is pushed to the terminal that described targeted customer uses or the account bound with the identification information of described targeted customer.
Yet further, the statistical analysis module 103 that the embodiment of the present invention provides, specifically for:
Undertaken concluding by the described consumption obtained or use information, analyze, computing, merge or collect, and by statistic analysis result by enumerating, sorting, accounting, trend or way of contrast represent. Wherein, described consumption or use information include but are not limited to following at least one: consumption or the kind of object used, quality, the amount of money, quantity, consumption or the time used, place, frequency, cost.
Yet further, the structural representation of the statistical analysis module that the embodiment of the present invention as shown in Figure 9 provides, statistical analysis module 103 may include that the first statistical analysis unit 1031 and the second statistical analysis unit 1032, wherein, described consumption in the embodiment of the present invention or use information include consumption or the use information of the first mill run in preset time period, or the consumption of first service or the information of use;
First statistical analysis unit 1031, for according to the spending amount of the first mill run, quantity purchase in described preset time period or using the height of positive rating to carry out statistics ranking the described consumption obtained or use information; Or
Second statistical analysis unit 1032, for carrying out statistics ranking by the described consumption obtained or use information according to the number of users of first service in described preset time period or the height of use positive rating.
Yet further, consumption or use information described in the embodiment of the present invention include consumption or the use information of the second mill run in preset time period, or the consumption of second service or the information of use; Wherein
Statistical analysis module 103 specifically for: according to obtain described second mill run consumption or use information, the total quantity purchase in described preset time period of the second mill run described in analytic statistics;
Information recommendation module 104 specifically for: when described total quantity purchase or total favorable comment number exceed preset number, described second mill run is recommended described targeted customer; Or
Statistical analysis module 103 specifically for: according to the consumption of the described second service obtained or the information of use, the total number of users in described preset time period of the second service described in analytic statistics or total favorable comment number;
Information recommendation module 104 specifically for: when described total number of users or total favorable comment number exceed preset number, described second service is recommended described targeted customer.
It will be appreciated that the function of each module can be corresponding to the specific implementation in each embodiment of the method in above-mentioned Fig. 1 to Fig. 6 in the process device 10 of recommendation information, repeat no more here.
The embodiment of the present invention, by obtaining the identification information of the acquaintance people of targeted customer and described targeted customer, and according at least one consumption corresponding with described identification information in described identification acquisition of information target platform or the information of use, the described consumption or the use information that obtain the most at last carry out statistical analysis according to preset rules, and statistic analysis result is partly or entirely pushed to described targeted customer as content recommendation, thus improving user to carry out consuming or using the enthusiasm of service, too increase motility and the interactivity of information recommendation simultaneously.
One of ordinary skill in the art will appreciate that all or part of flow process realizing in above-described embodiment method, can be by the hardware that computer program carrys out instruction relevant to complete, described program can be stored in computer read/write memory medium, this program is upon execution, it may include such as the flow process of the embodiment of above-mentioned each side method. Wherein, described storage medium can be magnetic disc, CD, read-only store-memory body (Read-OnlyMemory, ROM) or random store-memory body (RandomAccessMemory, RAM) etc.
Above disclosed it is only one preferred embodiment of the present invention, certainly the interest field of the present invention can not be limited with this, one of ordinary skill in the art will appreciate that all or part of flow process realizing above-described embodiment, and according to the equivalent variations that the claims in the present invention are made, still fall within the scope that invention is contained.
Claims (16)
1. the processing method of a recommendation information, it is characterised in that including:
Obtain the identification information of the acquaintance people of targeted customer and described targeted customer;
According at least one consumption corresponding with described identification information in described identification acquisition of information target platform or the information of use, described target platform refers to mill run platform and generic services platform, described mill run refers to the product not possessing contest or game attributes, and described generic services refers to the service not possessing contest or game attributes;
The described consumption obtained or use information are carried out statistical analysis according to preset rules, and statistic analysis result is partly or entirely pushed to described targeted customer as content recommendation.
2. the method for claim 1, it is characterized in that, described acquaintance people includes the directly acquaintance people of described targeted customer and indirectly knows each other people, described direct acquaintance people includes the personnel that there is direct link mode or relationship record between described targeted customer, wherein, described direct link mode includes telephone number, mail account, social platform account or application account, described relationship record includes log, finance are transferred accounts record or payment record; Described indirect acquaintance people refers to the personnel having one or more identical described direct acquaintance people in the non-immediate acquaintance people of described targeted customer with described targeted customer.
3. the method for claim 1, it is characterized in that, described identification information includes at least one in name, telephone number, mail account, identification card number, social platform account, social platform user name, biometric information, identity documents number, bank's card number, transaction platform account, transaction platform user name, network account or network user's name.
4. the method as described in claim 1-3 any one, it is characterised in that the identification information of the acquaintance people of described acquisition targeted customer and described targeted customer, including:
Obtain the identification information of the acquaintance people of the unsolicited described targeted customer of targeted customer and described targeted customer; Or
Use or automatically obtain the described identification information preserved in the terminal that described targeted customer uses; Or
Described identification information is obtained from described mill run platform and generic services platform; Or
Described identification information is obtained from third party.
5. the method as described in claim 1-3 any one, it is characterised in that described statistic analysis result is pushed to described targeted customer, including:
Statistic analysis result is pushed to the terminal that described targeted customer uses or the account bound with the identification information of described targeted customer.
6. the method as described in claim 1-3 any one, it is characterised in that described consumption or use information include following at least one: consumption or the kind of object used, quality, the amount of money, quantity, consumption or the time used, place, frequency, cost;
The described described consumption by acquisition or use information carry out statistical analysis according to preset rules, including:
Undertaken concluding by the described consumption obtained or use information, analyze, computing, merge or collect, and by statistic analysis result by enumerating, sorting, accounting, trend or way of contrast represent.
7. the method as described in claim 1-3 any one, it is characterised in that described consumption or use information include consumption or the use information of the first mill run in preset time period, or the consumption of first service or the information of use;
Described the described consumption obtained or use information are carried out statistical analysis according to preset rules, and statistic analysis result is partly or entirely pushed to described targeted customer as content recommendation, including:
According to the spending amount of the first mill run in described preset time period, quantity purchase or use the height of positive rating to carry out statistics ranking the described consumption obtained or use information, and statistics ranking result is partly or entirely pushed to described targeted customer as content recommendation; Or
According to the number of users of first service in described preset time period or use the height of positive rating to carry out statistics ranking the described consumption obtained or use information, and statistics ranking result is partly or entirely pushed to described targeted customer as content recommendation.
8. the method as described in claim 1-3 any one, it is characterised in that described consumption or use information include consumption or the use information of the second mill run in preset time period, or the consumption of second service or the information of use;
Described the described consumption obtained or use information are carried out statistical analysis according to preset rules, and statistic analysis result is partly or entirely pushed to described targeted customer as content recommendation, including:
The consumption of described second mill run according to acquisition or the information of use, the total quantity purchase in described preset time period of the second mill run described in analytic statistics; When described total quantity purchase or total favorable comment number exceed preset number, described second mill run is recommended described targeted customer; Or
Consumption according to the described second service obtained or the information of use, the total number of users in described preset time period of the second service described in analytic statistics or total favorable comment number; When described total number of users or total favorable comment number exceed preset number, described second service is recommended described targeted customer.
9. the process device of a recommendation information, it is characterised in that including:
First acquisition module, for obtaining the identification information of the acquaintance people of targeted customer and described targeted customer;
Second acquisition module, for according at least one consumption corresponding with described identification information in described identification acquisition of information target platform or the information of use, described target platform refers to mill run platform and generic services platform, described mill run refers to the product not possessing contest or game attributes, and described generic services refers to the service not possessing contest or game attributes;
Statistical analysis module, for the described consumption obtained or use information are carried out statistical analysis according to preset rules,
Information recommendation module, for being partly or entirely pushed to described targeted customer using statistic analysis result as content recommendation.
10. device as claimed in claim 9, it is characterized in that, described acquaintance people includes the directly acquaintance people of described targeted customer and indirectly knows each other people, described direct acquaintance people includes the personnel that there is direct link mode or relationship record between described targeted customer, wherein, described direct link mode includes telephone number, mail account, social platform account or application account, described relationship record includes log, finance are transferred accounts record or payment record; Described indirect acquaintance people refers to the personnel having one or more identical described direct acquaintance people in the non-immediate acquaintance people of described targeted customer with described targeted customer.
11. device as claimed in claim 9, it is characterized in that, described identification information includes at least one in name, telephone number, mail account, identification card number, social platform account, social platform user name, biometric information, identity documents number, bank's card number, transaction platform account, transaction platform user name, network account or network user's name.
12. the device as described in claim 9-11 any one, it is characterised in that described first acquisition module, including:
First acquiring unit, for obtaining the identification information of the acquaintance people of the unsolicited described targeted customer of targeted customer and described targeted customer; Or
Second acquisition unit, for using or automatically obtaining the described identification information preserved in the terminal of described targeted customer use; Or
3rd acquiring unit, for obtaining described identification information from described mill run platform and generic services platform; Or
4th acquiring unit, for obtaining described identification information from third party.
13. the device as described in claim 9-11 any one, it is characterised in that described information recommendation module, specifically for:
Statistic analysis result is pushed to the terminal that described targeted customer uses or the account bound with the identification information of described targeted customer.
14. the device as described in claim 9-11 any one, it is characterized in that, described consumption or use information include following at least one: consumption or the kind of object used, quality, the amount of money, quantity, consumption or the time used, place, frequency, cost;
Described statistical analysis module, specifically for:
Undertaken concluding by the described consumption obtained or use information, analyze, computing, merge or collect, and by statistic analysis result by enumerating, sorting, accounting, trend or way of contrast represent.
15. the device as described in claim 9-11 any one, it is characterised in that described consumption or use information include consumption or the use information of the first mill run in preset time period, or the consumption of first service or the information of use;
Described statistical analysis module, including:
First statistical analysis unit, for according to the spending amount of the first mill run, quantity purchase in described preset time period or using the height of positive rating to carry out statistics ranking the described consumption obtained or use information; Or
Second statistical analysis unit, for carrying out statistics ranking by the described consumption obtained or use information according to the number of users of first service in described preset time period or the height of use positive rating.
16. the device as described in claim 9-11 any one, it is characterised in that described consumption or use information include consumption or the use information of the second mill run in preset time period, or the consumption of second service or the information of use;
Described statistical analysis module specifically for: according to obtain described second mill run consumption or use information, the total quantity purchase in described preset time period of the second mill run described in analytic statistics;
Described information recommendation module specifically for: when described total quantity purchase or total favorable comment number exceed preset number, described second mill run is recommended described targeted customer; Or
Described statistical analysis module specifically for: according to the consumption of the described second service obtained or the information of use, the total number of users in described preset time period of the second service described in analytic statistics or total favorable comment number;
Described information recommendation module specifically for: when described total number of users or total favorable comment number exceed preset number, described second service is recommended described targeted customer.
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| CN201510973287.0A CN105631706A (en) | 2015-12-22 | 2015-12-22 | Method and device for processing recommended information |
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| CN109034762A (en) * | 2018-07-25 | 2018-12-18 | 重庆柚瓣家科技有限公司 | The payment system used convenient for old man |
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| CN106557953A (en) * | 2016-11-11 | 2017-04-05 | 无锡雅座在线科技发展有限公司 | Information processing method and device |
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| CN109426989A (en) * | 2017-08-22 | 2019-03-05 | 阿里巴巴集团控股有限公司 | A kind of subscription process method provides method for reserving service and equipment |
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| CN108805614A (en) * | 2018-05-28 | 2018-11-13 | 苏州若依玫信息技术有限公司 | A kind of e-commerce system based on consumer budget analysis |
| CN109064251A (en) * | 2018-06-29 | 2018-12-21 | 北京小米智能科技有限公司 | Electric business commodity sort method and device |
| CN109034762A (en) * | 2018-07-25 | 2018-12-18 | 重庆柚瓣家科技有限公司 | The payment system used convenient for old man |
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