CN105488689A - Real-time recommendation method and device of consumption information - Google Patents
Real-time recommendation method and device of consumption information Download PDFInfo
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- CN105488689A CN105488689A CN201510802406.6A CN201510802406A CN105488689A CN 105488689 A CN105488689 A CN 105488689A CN 201510802406 A CN201510802406 A CN 201510802406A CN 105488689 A CN105488689 A CN 105488689A
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Abstract
The embodiment of the invention discloses a real-time recommendation method and device of consumption information. The method comprises the following steps: obtaining the real-time consumption information of a user; according to the real-time consumption information of the user, determining the real-time behavior state of the user; according to the real-time behavior state of the user, determining the real-time potential consumption demands of the user; and according to the potential consumption demands, generating recommendation information. Through the above technical means, the consumption recommendation information with timeliness can be recommended in a targeted way to meet the real-time consumption demands of the dynamic change of the user and improve user experience.
Description
Technical field
The present invention relates to communication technical field, particularly relate to a kind of real-time recommendation method and device of consumption information.
Background technology
Along with the development of internet and mobile communication technology, line lower ecommerce (OnlineToOffline, O2O) of reaching the standard grade enters the high speed development stage.Wherein, an important link how to select the information of the interested Xian Xia trade company of user, and by the information pushing of these Xian Xia trade companies to Internet user, thus client under Internet user being converted to the line of oneself.
The information of the interested Xian Xia trade company of current selection user is the method adopting the historical behavior based on user to predict.Concrete, by the individual preference of the historical behavior conjecture user based on user, and choose the information of corresponding Xian Xia trade company according to individual preference, and then recommend to user.Although said method can choose the information of the Xian Xia trade company of user preferences, these information can accurately not meet the real-time consumption demand of user's dynamic change, lack ageing, reduce Consumer's Experience.
Summary of the invention
In view of this, the embodiment of the present invention provides a kind of real-time recommendation method and device of consumption information, lacks ageing problem with the consumption information solving recommendation.
First aspect, embodiments provides a kind of real-time recommendation method of consumption information, comprising:
Obtain user's real-time consumption information;
The real-time behavior state of user is determined according to user's real-time consumption information;
The real-time potential consumption demand of user is determined according to the real-time behavior state of described user;
According to described potential consumption demand generating recommendations information.
Second aspect, the embodiment of the present invention additionally provides a kind of real-time recommendation device of consumption information, comprising:
Consumption information acquisition module, for obtaining user's real-time consumption information;
Behavior state determination module, for determining the real-time behavior state of user according to user's real-time consumption information;
Consumption demand determination module, for determining the real-time potential consumption demand of user according to the real-time behavior state of described user;
Recommendation information generation module, for according to described potential consumption demand generating recommendations information.
The real-time recommendation method of the consumption information that the embodiment of the present invention provides and device, by determining current behavior state according to real-time consumption information, and the behavior state current according to user chooses suitable consumption recommendation information.By above-mentioned technological means, can recommend that there is ageing consumption recommendation information targetedly, meet the real-time consumption demand of user's dynamic change, improve Consumer's Experience.
Accompanying drawing explanation
By reading the detailed description done non-limiting example done with reference to the following drawings, other features, objects and advantages of the present invention will become more obvious:
Fig. 1 is the schematic flow sheet of the real-time recommendation method of the consumption information that first embodiment of the invention provides;
Fig. 2 is the schematic flow sheet of the real-time recommendation method of the consumption information that second embodiment of the invention provides;
Fig. 3 is the schematic flow sheet of the real-time recommendation method of the consumption information that third embodiment of the invention provides;
Fig. 4 is the schematic flow sheet of the real-time recommendation method of the consumption information that fourth embodiment of the invention provides;
Fig. 5 is the structural representation of the real-time recommendation device of the consumption information that fifth embodiment of the invention provides.
Embodiment
Below in conjunction with drawings and Examples, the present invention is described in further detail.Be understandable that, specific embodiment described herein is only for explaining the present invention, but not limitation of the invention.It also should be noted that, for convenience of description, illustrate only part related to the present invention in accompanying drawing but not full content.
Embodiment one
The process flow diagram of the real-time recommendation method of the consumption information that Fig. 1 provides for the embodiment of the present invention one, the present embodiment is applicable to the situation of recommending real-time consumption information to user, the method can be performed by the real-time recommendation device of consumption information, this device can be realized by software/hardware mode, and is integrated in O2O platform.
Described method specifically comprises as follows:
S110, obtains user's real-time consumption information.
In O2O field, user pays or predetermined commodity or service on line.At present, line pays or makes a reservation for mainly contain following two kinds of modes, one carries out mobile payment by mobile terminal in consumption place for user, is consumed by mobile payment; It two is that user buys user in advance on line for the payment ticket consumed for predetermined commodity or service, and uses this payment ticket to consume in consumption place.In the first case, O2O platform gets the consumption information of user by data interaction by the mobile terminal with mobile payment.Exemplary, user uses mobile terminal to buy film ticket by O2O platform at the cinema, and user is when film ticket bought by O2O platform, and O2O platform is by the information interaction with customer mobile terminal, get the consumption information that user buys film ticket, and the consumption information of recording user.Described consumption information can comprise the information relevant to consumption event such as user ID, spending amount, content of consumption and consumption time.In the second situation, user use paid ticket consume time, consumption place the ticket of payment of user can be uploaded to O2O platform to payment ticket verify, checking process in, O2O platform can get user's real-time consumption information.Exemplary, user have purchased a film convertible note in advance by map tool class application software or group buying websites, when using film convertible note to consume, check code corresponding to film convertible note is supplied to cinema, check code can be uploaded to O2O platform by network by cinema, by the true and false of O2O platform validation check code, in proof procedure, O2O platform can get the real-time consumption information of user.Wherein, consumption information can comprise the information relevant to consumption event such as user ID, spending amount, content of consumption and consumption time.
S120, determines the real-time behavior state of user according to user's real-time consumption information.
In general, the real-time consumption information of user and current behavior state have correlativity.The real-time behavior state of user can be determined according to user's real-time consumption information.Such as: when user consumes at the cinema, can determine that user's behavior state is now for viewing film.Or user uses mobile payment in museum, can determine that user visits in museum.O2O platform can determine the real-time behavior state of user according to user's real-time consumption information.
S130, determines the real-time potential consumption demand of user according to the real-time behavior state of described user.
User after a consumer behavior, can produce new consumption demand on completing.Described consumption demand is the desire for consumer goods that user produces for meeting self needs.O2O platform can analyze the current behavior state of user, and determines the real-time potential consumption demand of user according to the result analyzed.Exemplary, O2O platform can determine the potential demand of user according to the incidence relation of the behavior state of active user and potential consumption demand.Such as, the current behavior state of user is viewing film, have a meal or other recreation with watch the film event of consumption and there is corresponding incidence relation.Accordingly, O2O platform can determine that the real-time potential consumption demand of user is for having a meal or other recreation.
In addition, O2O platform also can determine the potential demand of user according to the colony's historical consumption data added up in advance.Concrete, colony's historical consumption data that O2O platform is being added up in advance finds the historical record matched with the real-time behavior state of user, and obtains consumption event follow-up in this historical record from the historical record of coupling.O2O platform can determine the real-time potential consumption demand of user according to follow-up consumption event.
S140, according to described potential consumption demand generating recommendations information.
O2O platform according to S130 determined potential consumption demand generating recommendations information, described recommendation information can comprise recommendation merchant information and or trade company issue merchandise news.Described Business Information and merchandise news can adopt at least one key element in picture or word to describe.When adopting picture to add text description, user can be allowed to get more information about businessman and commodity, more easily evoke the consumption demand of user.The recommendation information generated in real time or in due course can be pushed to user by machine.The recommendation information of generation pushes to user by the modes such as the application that O2O platform can be installed by customer mobile terminal or note, to make user can understand the merchant information meeting the real-time potential consumption demand of user timely, improve the consumption experience of user.
The present embodiment is by determining the real-time behavior state of user according to acquisition user real-time consumption information, the real-time potential consumption demand of user is determined according to the real-time behavior state of described user, and then the technological means of generating recommendations information, achieve the object recommending to have ageing consumption recommendation information to user, meet the real-time consumption demand of user's dynamic change, improve Consumer's Experience.
Embodiment two
The schematic flow sheet of the real-time recommendation method of the consumption information that Fig. 2 provides for second embodiment of the invention.The present embodiment is optimized based on above-described embodiment, in the present embodiment, described consumption information is comprised: content of consumption, consumption position and consumption time; And the real-time behavior state of user will be determined according to user's real-time consumption information, be specifically optimized for: determine user's real-time consumption event and consumption position according to user's real-time consumption content, consumption position and consumption time and consume the event deadline.
Accordingly, according to described potential consumption demand generating recommendations information, specifically will be optimized for: choose according to described user real-time potential consumption demand the trade company meeting the real-time potential consumption demand of user; The trade company being less than default distance threshold with the distance of described consumption position is searched from the trade company meeting user's real-time potential consumption demand; Generate the recommendation information that distance that is described and described consumption position is less than the trade company of default distance threshold.
Accordingly, the method for the present embodiment specifically comprises:
S210, obtains user's real-time consumption content, consumption position and consumption time.
User is when consuming, and O2O platform can get real-time consumption content, the consumption position and consumption time of user.Real-time consumption content can comprise the commodity or service that user uses mobile payment mode to pay, or the current use of user has paid commodity or service that electronic bill consumes.Such as: food and drink consumption, viewing consumption etc.Due to user use mobile payment mode to carry out to pay and use paid ticket consume time, all can select corresponding content of consumption, consumption position and consumption time.Accordingly, 020 platform can get content of consumption, consumption information such as consumption position and consumption time etc.Exemplary, user uses prepaid identifying code to exchange certain film ticket at certain film city, in redemption process, trade company use terminal by network and O2O platform information mutual, O2O platform gets play corresponding to exchanged film ticket, the consumption information such as reproduction time and broadcasting movie theatre, namely get the content of consumption of user, consumption position and consumption time.
S220, determines user's real-time consumption event and consumption position according to user's real-time consumption content, consumption position and consumption time and consumes the event deadline.
The user's real-time consumption content obtained according to S210, consumption position and consumption time can determine the behavior state that user is current, in the present embodiment, the current behavior state of user can be embodied by following information, i.e. user's real-time consumption event and consumption position and consumption event deadline.User's real-time consumption event can comprise the content of user's real-time consumption, process and result.Exemplary, when customer consumption film ticket, the movie theatre of O2O platform corresponding to film ticket, can get the consumption position that user is current; Film ticket according to consumption can determine that customer consumption event is viewing, can obtains the viewing end time according to the projection time of film ticket.
S230, gather from colony's historical consumption data with described user's real-time consumption event with consume the consumption data that position and the event of consumption deadline mate, described consumption data comprises subsequent consumption content and subsequent consumption position.
O2O can obtain the customer consumption data of all this platforms of use by platform, concrete, can realize the acquisition to customer consumption data in the following manner.One, by realizing obtaining customer consumption data with the information interaction of customer mobile terminal or merchant tenninal; In addition, customer consumption data can also be obtained by the client software that customer mobile terminal is installed.Such as, use map class software to obtain the consumption track of group of subscribers, and consumption track is analyzed, also can get the consumption data of group of subscribers.After the customer consumption data getting all this platforms of use, these customer consumption data are stored in O2O platform database.By carrying out data mining to the consumption data recorded before this consumption event completes, filtering out with user's real-time consumption event and consuming the consumption data that position and the event of consumption deadline all match.Described consumption data comprises the subsequent consumption content of user after completing described real-time consumption event and subsequent consumption position.Exemplary, user's real-time consumption event is viewing film, and the end reproduction time that the event deadline is film, at certain movie theatre, is consumed in consumption position.O2O platform will be watched film, certain movie theatre, terminate reproduction time as search condition, screen the consumption data of the same terms from the consumption data stored.After filtering out qualified consumption data, from these consumption datas, obtain subsequent consumption content and subsequent consumption position.
S240, determines the real-time potential consumption demand of user according to described subsequent consumption content and subsequent consumption position.
Because the consumption propensity of most of user after same position and time complete identical consumption event is tending towards identical, utilize the subsequent consumption content of other user after completing described real-time consumption event and subsequent consumption position can determine the real-time potential consumption demand of user.Concrete, can using subsequent consumption content and subsequent consumption position as the real-time potential consumption demand of user.Exemplary, the subsequent consumption content that O2O platform obtains is for having a meal, and subsequent consumption position is certain dining room neighbouring, then obtaining the real-time potential consumption demand of user is that nearby have a meal in certain dining room.
S250, according to described potential consumption demand generating recommendations information.
The present embodiment is by obtaining real-time consumption content, the consumption position and consumption time of user, determine the real-time behavior state of user accordingly, and gather from colony's historical consumption data with described user's real-time consumption event with consume the consumption data that position and the event of consumption deadline mate, the potential consumption tendency of user can be determined according to the consumer behavior of group, the potential consumption tendency of user can be determined accurately, improve Consumer's Experience.
Embodiment three
Fig. 3 is the schematic flow sheet of the real-time recommendation method of the consumption information that third embodiment of the invention provides.The present embodiment is optimized based on above-described embodiment, in the present embodiment, according to described potential consumption demand generating recommendations information, specifically will be optimized for: choose according to described user real-time potential consumption demand the trade company meeting the real-time potential consumption demand of user; The trade company being less than default distance threshold with the distance of described consumption position is searched from the trade company meeting user's real-time potential consumption demand; Generate the recommendation information that distance that is described and described consumption position is less than the trade company of default distance threshold.
Accordingly, the method for the present embodiment specifically comprises:
S310, obtains user's real-time consumption information.
S320, determines the real-time behavior state of user according to user's real-time consumption information.
S330, determines the real-time potential consumption demand of user according to the real-time behavior state of described user.
S340, chooses according to described user real-time potential consumption demand the trade company meeting the real-time potential consumption demand of user.
The trade company that can meet the real-time potential consumption demand of user is chosen according to described user real-time potential consumption demand.Exemplary, if determine that the real-time potential consumption demand of user obtained is for having a rest, then the trade company of hotel's type chosen by O2O platform.
S350, searches the trade company being less than default distance threshold with the distance of described consumption position from the trade company meeting user's real-time potential consumption demand.
The real-time potential consumption demand of user needs be met within a short period of time, otherwise the potential consumption demand of user even can disappear along with the time changes, if recommendation information can not meet the real-time requirement of user, user also would not adopt recommendation information.Therefore, in the present embodiment, by determining the consumption position of user, the trade company that the consumption position of selected distance user is nearer, to make user to arrive at short notice, meets the real-time potential consumption demand of user.Concrete, can preset a distance threshold, this distance threshold can arrive as standard at short notice with user in walking, is determined by experience.The trade company being less than predeterminable range threshold value with customer consumption positional distance searched by O2O platform from the trade company meeting the real-time potential consumption demand of user.
S360, generates the recommendation information that distance that is described and described consumption position is less than the trade company of default distance threshold.
O2O platform finds the trade company being less than predeterminable range threshold value with customer consumption positional distance according to S350, generate comprise described merchant information and or the recommendation information of information on services issued of trade company.
The present embodiment is by according to described potential consumption demand generating recommendations information, being specifically optimized for: choose according to described user real-time potential consumption demand the trade company meeting the real-time potential consumption demand of user; The trade company being less than default distance threshold with the distance of described consumption position is searched from the trade company meeting user's real-time potential consumption demand; Generate the recommendation information that distance that is described and described consumption position is less than the trade company of default distance threshold.Recommendation information can be made more to fit the real-time potential consumption demand of user, improve the employing rate of recommendation information.
Embodiment four
Fig. 4 is the schematic flow sheet of the real-time recommendation method of the consumption information that fourth embodiment of the invention provides.The present embodiment is optimized based on above-described embodiment, in the present embodiment, the real-time potential consumption demand of user will be determined according to described subsequent consumption content and subsequent consumption position, specifically be optimized for: determine the real-time potential consumption demand of user according to subsequent consumption content and subsequent consumption position and customer consumption tendency historical data.
Accordingly, the method for the present embodiment specifically comprises:
S410, obtains user's real-time consumption content, consumption position and consumption time.
S420, determines user's real-time consumption event and consumption position according to user's real-time consumption content, consumption position and consumption time and consumes the event deadline.
S430, gather from colony's historical consumption data with described user's real-time consumption event with consume the consumption data that position and the event of consumption deadline mate, described consumption data comprises subsequent consumption content and subsequent consumption position.
S440, determines the real-time potential consumption demand of user according to described subsequent consumption content and subsequent consumption position and user's historical consumption data tendency.
The consumer behavior of user has certain tendentiousness, and such as user usually selects some to be applicable to the dining room of oneself taste, or user habit is in some brand hotel of selection.O2O platform, according to the consumption information record of this user, through statistical study, can understand the consumption propensity of this user.In the present embodiment, after the subsequent consumption content utilizing other user after completing described real-time consumption event and subsequent consumption position can determine to obtain the real-time potential consumption demand of user, can according to the consumption propensity of user, from the real-time potential consumption demand of user, screening obtains the potential consumption demand meeting customer consumption tendency further.Exemplary, get user according to user's historical consumption data and tend to the consumption of fast food class, then O2O platform is food and drink consumption from subsequent consumption content, filters out the real-time potential consumption demand of fast food class consumption as user.
S450, according to described potential consumption demand generating recommendations information.
The present embodiment, by determining the real-time potential consumption demand of user according to described subsequent consumption content and subsequent consumption position, is specifically optimized for: determine the real-time potential consumption demand of user according to described subsequent consumption content and subsequent consumption position and customer consumption tendency historical data.For the consumption propensity of user, personalized recommendation information can be recommended to user, improves Consumer's Experience.
5th embodiment
Be the structural representation of the real-time recommendation device of the consumption information of fifth embodiment of the invention in Fig. 5, as shown in Figure 5, described device comprises:
Consumption information acquisition module 510, for obtaining user's real-time consumption information;
Behavior state determination module 520, for determining the real-time behavior state of user according to user's real-time consumption information;
Consumption demand determination module 530, for determining the real-time potential consumption demand of user according to the real-time behavior state of described user;
Recommendation information generation module 540, for according to described potential consumption demand generating recommendations information.
The embodiment of the present invention is by determining current behavior state according to real-time consumption information, and the behavior state current according to user chooses suitable consumption recommendation information.By above-mentioned technological means, can recommend that there is ageing consumption recommendation information targetedly, meet the real-time consumption demand of user's dynamic change, improve Consumer's Experience.
On the basis of the various embodiments described above, described consumption information acquisition module, for:
Obtain the real-time consumption information of user's mobile payment; And/or
Obtain user and use the real-time consumption information having paid electronic bill.
On the basis of the various embodiments described above, described behavior state determination module, for:
Determine user's real-time consumption event and consumption position according to user's real-time consumption content, consumption position and consumption time and consume the event deadline.
On the basis of the various embodiments described above, described consumption demand determination module, comprising:
Consumption data collecting unit, for gather from colony's historical consumption data with described user's real-time consumption event with consume the consumption data that position and the event of consumption deadline mate, described consumption data comprises subsequent consumption content and subsequent consumption position;
Consumption demand determining unit, obtains the real-time potential consumption demand of user for determining according to described subsequent consumption content and subsequent consumption position.
On the basis of the various embodiments described above, described consumption demand determining unit, for:
The real-time potential consumption demand of user is determined according to described subsequent consumption content and subsequent consumption position and customer consumption tendency historical data.
On the basis of the various embodiments described above, described recommendation information generation module, comprising:
Trade company chooses unit, for choosing according to described user real-time potential consumption demand the trade company meeting the real-time potential consumption demand of user:
Unit is searched by trade company, for searching the trade company being less than default distance threshold with the distance of described consumption position from the trade company meeting user's real-time potential consumption demand;
Recommendation information generation unit, the distance for generating described and described consumption position is less than the recommendation information of the trade company of default distance threshold.
The information push-delivery apparatus that the embodiment of the present invention provides can be used for the information-pushing method that execution any embodiment of the present invention provides, and possesses corresponding functional module, realizes identical beneficial effect.
Obviously, it will be understood by those skilled in the art that above-mentioned of the present invention each module or each operation can be implemented by terminal device as above.Alternatively, the embodiment of the present invention can realize by the executable program of computer installation, thus they storages can be performed by processor in the storage device, described program can be stored in a kind of computer-readable recording medium, the above-mentioned storage medium mentioned can be ROM (read-only memory), disk or CD etc.; Or they are made into each integrated circuit modules respectively, or the multiple module in them or operation are made into single integrated circuit module to realize.Like this, the present invention is not restricted to the combination of any specific hardware and software.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, to those skilled in the art, the present invention can have various change and change.All do within spirit of the present invention and principle any amendment, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (12)
1. a real-time recommendation method for consumption information, is characterized in that, comprising:
Obtain user's real-time consumption information;
The real-time behavior state of user is determined according to user's real-time consumption information;
The real-time potential consumption demand of user is determined according to the real-time behavior state of described user;
According to described potential consumption demand generating recommendations information.
2. method according to claim 1, is characterized in that, described acquisition user real-time consumption information, comprising:
Obtain the real-time consumption information of user's mobile payment; And/or
Obtain user and use the real-time consumption information having paid electronic bill.
3. method according to claim 1, is characterized in that, described consumption information comprises: content of consumption, consumption position and consumption time;
Describedly determine the real-time behavior state of user according to user's real-time consumption information, comprising:
Determine user's real-time consumption event and consumption position according to user's real-time consumption content, consumption position and consumption time and consume the event deadline.
4. method according to claim 3, is characterized in that, describedly determines the real-time potential consumption demand of user according to the real-time behavior state of described user, comprising:
Gather with described user's real-time consumption event from colony's historical consumption data, consume the consumption data that position and the event of consumption deadline mate, described consumption data comprises subsequent consumption content and subsequent consumption position;
The real-time potential consumption demand of user is determined according to described subsequent consumption content and subsequent consumption position.
5. method according to claim 4, is characterized in that, described according to described potential consumption demand generating recommendations information, comprising:
The trade company meeting the real-time potential consumption demand of user is chosen according to described user real-time potential consumption demand;
The trade company being less than default distance threshold with the distance of described consumption position is searched from the trade company meeting user's real-time potential consumption demand;
Generate the recommendation information being less than the trade company of default distance threshold with the distance of described consumption position.
6. method according to claim 4, is characterized in that, describedly determines the real-time potential consumption demand of user according to described subsequent consumption content and subsequent consumption position, comprising:
The real-time potential consumption demand of user is determined according to described subsequent consumption content, subsequent consumption position and user's historical consumption data tendency.
7. a real-time recommendation device for consumption information, is characterized in that, comprising:
Consumption information acquisition module, for obtaining user's real-time consumption information;
Behavior state determination module, for determining the real-time behavior state of user according to user's real-time consumption information;
Consumption demand determination module, for determining the real-time potential consumption demand of user according to the real-time behavior state of described user;
Recommendation information generation module, for according to described potential consumption demand generating recommendations information.
8. device according to claim 7, is characterized in that, described consumption information acquisition module, for:
Obtain the real-time consumption information of user's mobile payment; And/or
Obtain user and use the real-time consumption information having paid electronic bill.
9. device according to claim 7, is characterized in that, described consumption information comprises: content of consumption, consumption position and consumption time;
Described behavior state determination module, for:
Determine user's real-time consumption event and consumption position according to user's real-time consumption content, consumption position and consumption time and consume the event deadline.
10. device according to claim 9, is characterized in that, described consumption demand determination module, comprising:
Consumption data collecting unit, for gather from colony's historical consumption data with described user's real-time consumption event with consume the consumption data that position and the event of consumption deadline mate, described consumption data comprises subsequent consumption content and subsequent consumption position;
Consumption demand determining unit, obtains the real-time potential consumption demand of user for determining according to described subsequent consumption content and subsequent consumption position.
11. devices according to claim 10, is characterized in that, described consumption demand determining unit, for:
The real-time potential consumption demand of user is determined according to described subsequent consumption content and subsequent consumption position and user's historical consumption data tendency.
12. devices according to claim 10, is characterized in that, described recommendation information generation module, comprising:
Trade company chooses unit, for choosing according to described user real-time potential consumption demand the trade company meeting the real-time potential consumption demand of user:
Unit is searched by trade company, for searching the trade company being less than default distance threshold with the distance of described consumption position from the trade company meeting user's real-time potential consumption demand;
Recommendation information generation unit, for generating the recommendation information being less than the trade company of default distance threshold with the distance of described consumption position.
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| CN106779641A (en) * | 2016-12-29 | 2017-05-31 | 腾讯科技（深圳）有限公司 | Information processing method and information processor |
| CN106910092A (en) * | 2017-02-28 | 2017-06-30 | 成都瑞小博科技有限公司 | A kind of active marketing method and system based on business WIFI industry attributes |
| CN107742245A (en) * | 2017-10-31 | 2018-02-27 | 北京小度信息科技有限公司 | A kind of merchant information recommends method, apparatus and equipment |
| CN108550046A (en) * | 2018-03-07 | 2018-09-18 | 阿里巴巴集团控股有限公司 | A kind of resource and market recommendation method, apparatus and electronic equipment |
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| CN107742245A (en) * | 2017-10-31 | 2018-02-27 | 北京小度信息科技有限公司 | A kind of merchant information recommends method, apparatus and equipment |
| CN107742245B (en) * | 2017-10-31 | 2021-04-27 | 北京星选科技有限公司 | Merchant information recommendation method, device and equipment |
| CN108550046A (en) * | 2018-03-07 | 2018-09-18 | 阿里巴巴集团控股有限公司 | A kind of resource and market recommendation method, apparatus and electronic equipment |
| WO2019169978A1 (en) * | 2018-03-07 | 2019-09-12 | 阿里巴巴集团控股有限公司 | Resource recommendation method and device |
| CN108563680A (en) * | 2018-03-07 | 2018-09-21 | 阿里巴巴集团控股有限公司 | Resource recommendation method and device |
| CN108550046B (en) * | 2018-03-07 | 2021-03-02 | 创新先进技术有限公司 | Resource and marketing recommendation method and device and electronic equipment |
| CN108564432A (en) * | 2018-03-16 | 2018-09-21 | 北京墨丘科技有限公司 | A kind of consumption demand management method, system and electronic equipment |
| CN110557422A (en) * | 2018-06-01 | 2019-12-10 | 上海沛香信息科技有限公司 | Consumption information pushing method and system and big data platform |
| CN108830689A (en) * | 2018-06-13 | 2018-11-16 | 深圳乐信软件技术有限公司 | Item recommendation method, device, server and storage medium |
| CN109615451A (en) * | 2018-10-26 | 2019-04-12 | 阿里巴巴集团控股有限公司 | A kind of information push, operating method, device, equipment and medium |
| CN111325566A (en) * | 2018-12-14 | 2020-06-23 | 上海博泰悦臻网络技术服务有限公司 | Historical consumption record prompting method, system, storage medium and vehicle-mounted terminal |
| CN110163670A (en) * | 2019-05-10 | 2019-08-23 | 达疆网络科技(上海)有限公司 | A kind of automation marketing method based on user's displaying live view behavior |
| CN111326258A (en) * | 2020-03-17 | 2020-06-23 | 赵嘉文 | Body-building foot path method and system combining exercise and foot path massage |
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