CN109409936A

CN109409936A - Customer consumption portrait generation method, device, equipment and readable storage medium storing program for executing

Info

Publication number: CN109409936A
Application number: CN201811144281.2A
Authority: CN
Inventors: 张海文; 蔡健
Original assignee: OneConnect Smart Technology Co Ltd
Current assignee: OneConnect Smart Technology Co Ltd
Priority date: 2018-09-28
Filing date: 2018-09-28
Publication date: 2019-03-01

Abstract

The present invention discloses a kind of customer consumption portrait generation method, device, equipment and readable storage medium storing program for executing, the described method includes: reading the POI probability that user removes each POI in predetermined period, and each POI probability is counted according to the POI type belonged to, determine that user removes the overall consumption POI probability of all consumption type POI；Judge whether overall consumption POI probability is greater than preset value, if more than preset value, it is determined that sub- consumption POI probability corresponding with each consumption type POI in the day part of predetermined period；It draws a portrait by each sub- consumption POI probability and corresponding consumption type POI formation probability type pair, and according to each probability type to consumption of the user in predetermined period is generated.This programme is reflected the various consumption demands of user by customer consumption portrait by period and consumption type POI, and consumes the reflection of POI probability to the size of various consumption demands by son, improves the accuracy to the reflection of customer consumption demand.

Description

Customer consumption portrait generation method, device, equipment and readable storage medium storing program for executing

Technical field

The invention mainly relates to information technology fields, specifically, being related to a kind of customer consumption portrait generation method, dress It sets, equipment and readable storage medium storing program for executing.

Background technique

Current each enterprise is when carrying out consumer products marketing, in order to realize precision marketing, usually combines the characteristic of user According to progress, recommends the interested consumer products information of user characterized from characteristic to user and/or avoid pushing away to user Its uninterested consumer products information is recommended, to meet the consumption demand of user, avoids user from missing its interested consumption and produces Product information.Because meeting the consumer products information recommendation of customer consumption demand, have with the accuracy of user characteristic data very big Correlation so that the accuracy of identified user characteristic data occupy during consumer products information recommendation it is very important Status.Identified user characteristic data in the prior art is not able to satisfy expected accuracy demand in use, makes Its required consumer products information cannot be obtained in time by obtaining one side user, and the consumer products of another aspect enterprise are promoted successfully Rate is low, how accurately to reflect that customer consumption demand is technical problem urgently to be resolved in the prior art.

Summary of the invention

The main object of the present invention is to provide a kind of customer consumption portrait generation method, device, equipment and readable storage medium Matter, it is intended to solve the problems, such as accurately reflect customer consumption demand in the prior art.

To achieve the above object, the present invention provides a kind of customer consumption portrait generation method, the customer consumption portrait life At method the following steps are included:

The POI probability that user removes each POI in predetermined period is read, and to each POI probability according to the POI belonged to Type is counted, and determines that user removes the overall consumption POI probability of all consumption type POI；

Judge whether the overall consumption POI probability is greater than preset value, if more than the preset value, it is determined that the default week Sub- consumption POI probability corresponding with each consumption type POI in the day part of phase；

By each sub- consumption POI probability and corresponding consumption type POI formation probability type pair, and according to each described general Rate type is drawn a portrait to consumption of the user in the predetermined period is generated.

Preferably, described that each POI probability is counted according to the POI type belonged to, determine that user goes to own The step of overall consumption POI probability of consumption type POI includes:

Identifier entrained in each POI probability is read, and is filtered out from each identifier and is attributed to consume The consumption identifier of type；

It adds up to the POI probability with the consumption identifier, generates user and go all consumption type POI's Overall consumption POI probability.

Preferably, sub- consumption POI corresponding with each consumption type POI is general in the day part of the determination predetermined period The step of rate includes:

The predetermined period is divided into multiple subcycles, and according to each identifier, determines user in each son Each consumption type POI of period day part, and period corresponding with each consumption type POI consume POI probability；

POI probability is consumed to the period possessed by each identical consumption type POI in each subcycle identical period It adds up, generates sub- consumption POI probability corresponding with each consumption type POI in the day part of the predetermined period.

Preferably, it is described according to each probability type to generate user the predetermined period consumption draw a portrait the step of Include:

The source period of POI probability is consumed according to son described in each probability type pair, is each probability type pair Distribute period label；

It is generated according to the sequencing of the period label by each probability type to being aligned on preset time axis User draws a portrait in the consumption of the predetermined period day part.

Preferably, it is described according to each probability type to generate user the predetermined period consumption draw a portrait the step of Include: later

It adds up to the consumption POI probability of son possessed by identical consumption type POI each in the predetermined period day part, Generate the type consumption POI probability of each consumption type POI in the predetermined period；

Each type consumption POI probability is arranged according to numerical values recited, generates type probability sequence；

Read be arranged in the type probability sequence default position the type consumption POI probability, and determine with pre- If the corresponding target consumer type POI of type consumption POI probability of position；

Type information corresponding with the target consumer type POI is obtained, and the type information is transferred to user institute The terminal held.

When detecting the real-time position information of user, real-time consumption type corresponding with the real-time position information is determined POI；

Customer consumption portrait and real-time time corresponding to the user are read, is drawn a portrait according to the customer consumption, is determined and use The real-time POI probability of each real-time consumption type POI is removed at family in the real-time time；

The real-time POI probability is arranged according to numerical values recited, generates real-time probability sequence, and determination is arranged in institute State the real-time POI probability of target that real-time probability sequence presets position；

Obtain the real time information of real-time consumption type POI corresponding with the real-time POI probability of the target, and by the real-time letter Breath is transferred to the terminal that user is held.

Preferably, include: before the step of reading user removes the POI probability of each POI in predetermined period

Each location information of the user in predetermined period is read, and counts default centered on each location information POI in range；

According to the distance relation of each location information and the preset range, determine that user goes from each location information The POI probability of each POI generates the POI probability that user removes each POI in predetermined period.

In addition, to achieve the above object, the present invention also proposes a kind of customer consumption portrait generating means, the customer consumption Portrait generating means include:

Read module removes the POI probability of each POI for reading user in predetermined period, and presses to each POI probability It is counted according to the POI type belonged to, determines that user removes the overall consumption POI probability of all consumption type POI；

Determining module, for judging whether the overall consumption POI probability is greater than preset value, if more than the preset value, then Determine sub- consumption POI probability corresponding with each consumption type POI in the day part of the predetermined period；

Generation module is used for each sub- consumption POI probability and corresponding consumption type POI formation probability type pair, And it is drawn a portrait according to each probability type to consumption of the user in the predetermined period is generated.

In addition, to achieve the above object, the present invention also proposes a kind of customer consumption portrait generating device, the customer consumption Portrait generating device includes: memory, processor, communication bus and the customer consumption portrait life being stored on the memory At program；

The communication bus is for realizing the connection communication between processor and memory；

The processor generates program for executing the customer consumption portrait, to perform the steps of

In addition, to achieve the above object, the present invention also provides a kind of readable storage medium storing program for executing, the readable storage medium storing program for executing storage Have one perhaps more than one program the one or more programs can be held by one or more than one processor Row is to be used for:

The customer consumption portrait generation method of the present embodiment, first goes the POI of each POI general according to user in predetermined period Rate determines that user removes the overall consumption POI probability of all consumption type POI；This overall consumption POI probability reflects user to consumer The conditions of demand of type POI, wherein overall consumption POI probability is bigger, illustrates that demand of the user to consumption type POI is bigger；Work as judgement When this overall consumption POI probability is greater than preset value out, illustrate that consumption type POI specific gravity shared in user's life is larger, to this The success rate that user promotes consumer products is higher；To further determine that in the day part of predetermined period with each consumption type The corresponding sub- consumption POI probability of POI, this sub- consumption POI probability show user in the required consumption type POI of different periods； And then the corresponding consumption type POI of each sub- consumption POI probability is formed into multiple probability types pair, by each probability type to life It draws a portrait at user in the consumption of predetermined period；It is drawn a portrait by this customer consumption, consumption demand of the Lai Tixian user in different periods. Because customer consumption portrait is generated by user in the consumption type POI and its son consumption POI probability of each period, with period, use The son consumption POI probability correlation for the consumption type POI and each consumption type POI that family is gone in the period, so that customer consumption Portrait can consume the reflection of POI probability to each by the various consumption demands of period and consumption type POI reflection user, and by son The size of kind consumption demand；It avoids reflecting customer consumption demand using user characteristic data, and use is related to user and is gone All consumption type POI consumption draw a portrait more fully to reflect customer consumption demand, improve anti-to customer consumption demand The accuracy reflected.

Detailed description of the invention

Fig. 1 is the flow diagram of customer consumption portrait generation method first embodiment of the invention；

Fig. 2 is the flow diagram of customer consumption portrait generation method second embodiment of the invention；

Fig. 3 is the functional block diagram of customer consumption portrait generating means first embodiment of the invention；

Fig. 4 is the device structure schematic diagram for the hardware running environment that present invention method is related to；

Fig. 5 is the schematic diagram of a scenario of customer consumption portrait one embodiment of generation method of the invention.

The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.

Specific embodiment

It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.

The present invention provides a kind of customer consumption portrait generation method.

Fig. 1 is please referred to, Fig. 1 is the flow diagram of customer consumption of the present invention portrait generation method first embodiment.At this In embodiment, the customer consumption portrait generation method includes:

Step S10 reads the POI probability that user removes each POI in predetermined period, and to each POI probability according to institute The POI type of ownership is counted, and determines that user removes the overall consumption POI probability of all consumption type POI；

Customer consumption portrait generation method of the invention is applied to server, is suitable for generating characterization user by server The consumption of consumption demand is drawn a portrait.Specifically, pre-generating in server has user to remove each POI (Point in predetermined period Of Interest, point of interest) POI probability, POI is the geographic object that can be abstracted as a little, more especially with people live Closely related geographical entity, such as school, bank, restaurant, gas station, hospital and supermarket；User goes different POI to reflect The different demands of user, and demand size is determined by POI probability.Server examines location information of the user in predetermined period It surveys, determines possessed POI around location information, and then generate the POI probability that user removes each POI in predetermined period；It needs It is noted that for the same POI, because the time that user is gone in predetermined period is different, this corresponding different time Need to generate different POI probability；Such as a certain POI, user respectively go in predetermined period by certain day morning and afternoon To this POI, then the time point for the morning and afternoon is needed to generate two POI probability respectively；The POI probability of i.e. each POI is not With additivity, and it is related to the different time in predetermined period.Wherein predetermined period is according to demand pre-set one Section time range, such as day, week, the moon, year, the time of predetermined period is longer, and the POI probability of generation can accurately more reflect user Demand, this implementation preferably " year " are used as predetermined period, are illustrated by taking " year " as an example；I.e. herein using year as predetermined period when Between in range real-time detection user location information, pass through each location information of user in 1 year, generate reflection user demand Each POI probability.

Generate reflection the user preset period in the POI probability of each POI demand size after, because each POI may belong to In same type of POI, it is also possible to belong to different types of POI；As belonged to same class if being located at the Liang Ge bank of different location The POI of type, and the gymnasium and library positioned at different location then belong to different types of POI；User to each POI demand not While the same, the demand to different type POI is also different, and the POI probability for making user remove all kinds of POI is not of uniform size Sample；The POI type high for user demand, possible user goes have the number of the position of such POI more, generated such POI probability is larger.For consumption type POI relevant to consumption, POI probability is related to user demand accordingly, wherein disappearing Expense type POI is that clothing, leatherware, Jewelry Accessories, skin care item, food, theater, cinema etc. need to spend money to exchange other for The POI of article.In order to characterize customer consumption demand, the POI probability of each POI is gone in predetermined period in generation user Afterwards, it needs from the POI probability of this each POI, determines all POI probability for belonging to consumption type POI, and then all according to this POI probability determines demand size of the user to consumption type POI.Specifically, it first reads in the user preset period and goes each POI's POI probability, then this each POI probability is counted according to the POI type belonged to, i.e., statistics is attributed to consumption type POI POI probability, remove the overall consumption POI probability of all consumption type POI to determine user in predetermined period, characterize user pre- If going the demand size of consumption type POI in the period.Specifically, it unites to each POI probability according to the POI type belonged to Meter, determines that the step of user removes the overall consumption POI probability of all consumption type POI includes:

Step S11 reads identifier entrained in each POI probability, and filters out and return from each identifier Belong to the consumption identifier for consumption type；

It is preparatory to different type POI in order to be distinguished to different type POI in view of POI numerous types on the market Different identifiers is set, such as identifier f1 is arranged to library, park common type POI, to the landscape class such as mountains and rivers, river Identifier f2 is arranged in type POI, and identifier f3 is arranged to the consumption types POI such as Jewelry Accessories, food, cinema.Generating user When removing the POI probability of each POI, according to the type of each POI, identifier corresponding with type is added for its POI probability, is such as worked as POI probability of the user in the library predetermined period Nei Qu is a, then adds identifier f1 to this probability a.User is being read pre- If after removing the POI probability of each POI in the period, further reading in each probability entrained identifier, then from each identifier In filter out the consumption identifier for being attributed to consumption type.Because the consumption identifier of characterization consumption type is preset, general The identifier of reading and this preset consumption identifier comparison, judge whether the two is consistent；If the two is consistent, illustrate to read The identifier taken is consumption identifier, and it is screened from each identifier；If the two is inconsistent, illustrate the mark read Knowing symbol not is consumption identifier, and is filtered this out.After the identifier of all readings is judged with consumption identifier, sieve The identifier elected is the consumption identifier that consumption type is belonged in identifier.

Step S12 adds up to the POI probability with the consumption identifier, generates user and go all consumption The overall consumption POI probability of type POI.

Understandably, the POI probability of the consumption type identifier screened is carried, as user is in predetermined period Inside remove the probability of consumption type POI；To carry out accumulation operations to the POI probability with this consumption type identifier, add up institute Obtained result is the overall consumption POI probability that user removes all consumption type POI in predetermined period.

Step S20, judges whether the overall consumption POI probability is greater than preset value, if more than the preset value, it is determined that institute State sub- consumption POI probability corresponding with each consumption type POI in the day part of predetermined period；

Further, the big of the overall consumption POI probability of all consumption type POI is gone in order to characterize user in predetermined period It is small, it is previously provided with preset value, this preset value is to be set according to historical data, as total as multiple users in historical data When consuming POI probability greater than a certain value, specific gravity consumption type POI shared in this multiple users' life is larger, this multiple use The demand to consumption type POI at family is larger；And it regard this certain value as preset value, in order to determine it subsequently through preset value His demand size of the user to consumption type POI.Passing through Accumulating generation user after the overall consumption POI probability of predetermined period, This overall consumption POI probability and preset value are compared, judge whether overall consumption POI probability is greater than this preset value；If judging always to disappear Take POI probability no more than this preset value, then illustrates that demand of the user to consumption type POI is little；If generated for this user Consumption for characterizing customer consumption demand is drawn a portrait, and is supplied each enterprise to be drawn a portrait according to consumption and carried out consumer products information popularization；Cause Demand of the user to consumption type POI itself is little, and the reference significance that may consume portrait is little；To not be directed to overall consumption The user that POI probability is less than or equal to preset value generates consumption portrait.And compared when by overall consumption POI probability and preset value, sentence When disconnected overall consumption POI probability is greater than preset value, then illustrate that demand of the user to consumption type POI is larger, and disappears for its generation Take portrait.In view of the consumption demand of user may be related to the period, such as Saturday the morning 10 to 11 point in gymnasium, evening on Sunday Upper 8 points to 9 points in natatorium etc.；To the consumption demand in order to more accurately reflect user, first predetermined period is divided into more A period, and then determine the sub- consumption POI probability corresponding with consumption type POI that user is gone in each period.

Understandably, although consumption demand of the user in predetermined period be not identical, there is similitude, such as evening on working day Gymnasium or day off go time-out shopping, bookstore to buy books up；This similitude mainly carried out as unit of day it is similar, from And when predetermined period is divided into multiple periods, it is divided, i.e., will first be divided in predetermined period according to the day in predetermined period For each day, then each day is divided into each period.It is corresponding with consumption type POI in determining predetermined period each period accordingly Son consumption POI probability when, and first daily confirm day part consumption type POI probability, then by it is each identical in each day when The son consumption POI probability of day part in the determine the probability predetermined period of the consumption type POI of section.Wherein determine each of predetermined period The step of sub- consumption POI probability corresponding with each consumption type POI, includes: in period

The predetermined period is divided into multiple subcycles, and according to each identifier, determines that user exists by step S21 Each consumption type POI of each subcycle day part, and period consumption POI corresponding with each consumption type POI are general Rate；

Specifically, predetermined period is first divided into multiple subcycles, it is contemplated that user's consumption demand in predetermined period Mainly progress is periodically similar as unit of day for similitude, so that subcycle is preferably divided as unit of day；I.e. according to daily Date boundary predetermined period is divided into more days, keep a subcycle corresponding with one day.Subcycle each for predetermined period is used The gone to consumption type POI in family, which is generated, POI probability, and this each POI probability generated is different sub in predetermined period from user The different periods in period are related, such as the same consumption type POI gone to for user in two different subcycles, accordingly Need to generate two POI probability.Can the identifier according to entrained by POI probability each in the predetermined period of reading, determine each consumption User is gone to all consumption type POI according still further to the division mode of subcycle by the POI probability of type POI in predetermined period POI probability divided so that the POI probability of all consumption type POI is corresponding with each subcycle in predetermined period.As in advance If in the POI probability of 10 consumption type POI in period, thering are 3 to belong to the same subcycle X1, and other 7 belong to it is another A subcycle X2；Then the POI probability of 3 consumption type POI is divided into subcycle X1, and by other 7 consumption type POI POI probability be divided into subcycle X2.Hereafter, because the POI probability and son that belong to the consumption type POI of each subcycle are all Interim different periods are corresponding, and subcycle can be subdivided into multiple periods, such as unit of a hour, by the son week as day Phase is divided into the time that user in 24 periods, then foundation subcycle removes the POI probability of each consumption type POI, will be each consumer The POI probability of type POI is divided into each period, so that the POI probability of each consumption type POI is corresponding with day part in subcycle. As 7 consumption type POI of subcycle POI probability in, there are 3 to belong to the same period X11, and other 4 belong to it is another A period X22；Then the POI probability of 3 consumption type POI is divided into period X11, and by other 4 consumption type POI's POI probability is divided into period X22.By the way that the POI probability of consumption type POI is corresponding with the period, user is reflected in difference The consumption demand of period.

Understandably, consumption type POI is related to multiple POI for belonging to consumption type, such as leatherware, jewelry, gymnasium, User removes different consumption type POI, can reflect the different consumption demand of user；It is required consumer in order to accurately reflect user Type needs to further determine that the various consumption type POI that user is gone in day part, and removes the POI of each consumption type POI Probability；The POI probability of each consumption type POI is gone to consume POI probability as the period this, reflection user is required in day part The size of consumption type and demand.Specifically, the identifier for identifying POI type is gone back other than it can distinguish POI type Each POI under certain class POI can be distinguished；It distinguishes except common type POI, landscape type POI and consumption type POI, may be used also Distinguish the library and park under common type POI, mountains and rivers and river under landscape type POI, the jewelry under consumption type POI Ornaments, food, cinema etc..Distinguishing can be carried out by increasing the character of identifier, such as the mark as consumption type POI F3 increases different characters behind f3 to characterize each consumption type POI, such as characterizes Jewelry Accessories with f3-31, uses f3-32 It characterizes food, characterize cinema etc. with f3-33, so that by the identifier carried in POI probability, it may be determined that belong to consumption type While POI, the consumption type POI for particularly belonging to which kind may further determine that.

After the POI probability of consumption type POI is corresponding with the period, further according in the POI probability of consumption type POI Identifier determine the concrete type of consumption type POI, and the POI probability with identical identifier is added up, because identical Identifier characterization belong to identical consumption type POI, accumulated result be the identical consumption type POI of this in the period when Section consumption POI probability.Such as the POI probability of 4 consumption type POI in above-mentioned period X22, wherein 2 identifiers are equal For f3-31, then this corresponding POI probability of two identifiers is added up, accumulated result is that user goes to make in period X22 For the probability size of the Jewelry Accessories of consumption type POI.The identical consumption type POI in each period in subcycle POI probability carries out after adding up, then carries out this accumulation operations to each period in other subcycles, until owning in predetermined period The day part of subcycle is cumulative to be completed, consumption demand of the reflection user in the different periods of each subcycle.Because day part can be into The POI probability of the consumption type POI of row accumulation operations belongs to identical consumption type POI, thus can be true by accumulation operations Determine user and consumes POI probability in the period of each consumption type POI of each subcycle day part and this each consumption type POI.

Step S22 consumes the period possessed by each identical consumption type POI in each subcycle identical period POI probability adds up, and generates sub- consumption POI probability corresponding with each consumption type POI in the day part of the predetermined period.

Further, it is contemplated that demand of the user in the gone to consumption type POI of different periods of different subcycles is different Sample such as goes the period of foodstuff to consume POI probability as a in 10 users of the morning of previous subcycle, and in latter subcycle The morning, 10 users did not removed the relevant POI of consumption type POI；Because of the uncertainty of user's behavior in subcycle, so that logical The period consumption POI probability for crossing each subcycle is lower come the accuracy rate for reflecting the consumption demand of user；To each height week The period consumption POI probability of the identical period of phase is integrated, and is formed predetermined period in the son consumption POI probability of day part, is led to It crosses son consumption POI probability and carrys out accurate comprehensive reflection user in the consumption demand of different periods.

Specifically, each subcycle is divided according to the identical period, then is had to consumption type POI identical in day part Some period consumption POI probability add up；Such as subcycle X4, X5, X6, it is related to period X41, X42, X43, X5 in X4 In be related to period X51, X52, X53, period X61, X62, X63 are related in X6, wherein X41, X51 and X61 correspond to identical Period, X42, X52 and X62 correspond to the identical period, and X43, X53 and X63 correspond to the identical period；And phase in X41, X51 and X61 It include y1, y2 with consumption type POI, identical consumption type POI includes y3 in X42, X52 and X62, identical in X43, X53 and X63 Consumption type POI includes y5, y6, then one by one to X41, X51, X61, X42, X52, X62, and each identical consumption in X43, X53, X63 The period consumption POI probability of type POI adds up；I.e. to y1, y2 in X41, X51, X61, the period in X41 is consumed respectively POI probability y11, y21, the period in X51 consumes POI probability y12, y22, the period in X61 consumes POI probability y13, Y23 adds up, so that y1 is (y11+y12+y13) in the son consumption POI probability that X41, X51, X61 correspond to the period, y2 exists The son consumption POI probability that X41, X51, X61 correspond to the period is (y21+y22+y23)；Hereafter again to y3 in X42, X52, X62 Period consumes the period consumption POI probability of POI probability and y5, y6 in X43, X53, X63 and adds up, and generates y3 respectively The son consumption POI probability of period is corresponded in X42, X52, X62 and y5, y6 correspond to the sub of period in X43, X53, X63 and consume POI probability.The period consumption POI probability of the same type type POI of all periods carries out after adding up in each subcycle, then Sub- consumption POI probability corresponding with each consumption type POI in the day part of predetermined period is generated, it is general by this each sub- consumption POI Rate reflects user in the consumption demand of different periods comprehensively.

Step S30, by each sub- consumption POI probability and corresponding consumption type POI formation probability type pair, and according to Each probability type is drawn a portrait to consumption of the user in the predetermined period is generated.

Further, in each consumption type POI for determining that predetermined period day part user is gone to, and each consumption is gone After the son consumption POI probability of type POI, so that difference consumption type POI is corresponding with different sons to consume POI general in day part Rate；By each sub- consumption POI probability and corresponding consumption type POI formation probability type pair, reflection is used by probability type The size of the required consumption type POI in family and demand.Because each sub- consumption POI probability is related to the period, so that being formed by Each probability type to also related to the period accordingly, and then thus each probability type to generating user in the consumption picture of predetermined period Picture, and each probability type distinguishes presentation in consumption portrait with the period, is needed with embodying user in the consumption of different periods It asks.Specifically, include: the step of the consumption of predetermined period is drawn a portrait to generation user according to each probability type

Step S31 consumes the source period of POI probability according to son described in each probability type pair, is each described general Rate type is to distribution period label；

Understandably, the son consumption POI probability of probability type centering is generated according to the period divided, the period that this is divided As the source period of sub- consumption POI probability, and because being related to a variety of consumption type POI in the same period of division, so that more Height consumption POI probability corresponds to the same source period.When consuming the source of POI probability to neutron according to each probability type Section is each probability type to distribution period label；Probability type pair identical for the source period, the period label one distributed Sample, and source period different probability type pair, the period label distributed are different.Such as probability type to p1, p2, P3, p4 and p5, wherein the son consumption POI probability in p1 and p5 derives from the period of same division, and when distributing identical to it Segment mark label g1, and different period label g1, g2 and g3 are distributed P2, P3, P4 respectively.

Step S32, according to the sequencing of the period label, by each probability type to being aligned to preset time axis On, the consumption for generating user in the predetermined period day part is drawn a portrait.

Further, because period label substantially characterizes the different periods, different periods have temporal sequencing, Such as at 10 points in the morning and at 4 points in afternoon, then 10 points of the morning are the first time, and at 4 points in afternoon is the posterior time.Period label also and Period is the same, has temporal sequencing, according to this sequencing, by each probability type to being aligned to preset time axis On；This preset time axis is the number axis of preset characterization chronological order.It referring to figure 5., will be pre- by the period of hour If time shaft is divided into 24 sections, the period corresponding to the period label according to each probability type pair, by each each probability class Type generates user when predetermined period is each to displaying to probability type on preset time axis to being aligned on preset time axis The consumption portrait of section.Content shown in it include probability type pair consumption type POI and its corresponding son consumption POI probability it is big It is small；Above-mentioned probability type is such as corresponded to p1, p2, p3, p4 and p5, the period that wherein p1 and p5 period label is characterized is the morning 8 O'clock between 9 points, period that p2 period label is characterized by 2 pm to the period that 3 points, p3 period label characterize be afternoon 4 points to 5 points, period for being characterized of p4 period label be 10 points to 11 points of the morning.The consumption type POI in p1 is p11 simultaneously, and The son consumption POI probability of p11 is q11；Consumption type POI in p2 is p22, and the son consumption POI probability of p22 is q22；In p3 Consumption type POI be p11, and p11 son consumption POI probability be q12；Consumption type POI in p4 is p41, and the son of p41 Consumption POI probability is q42；Consumption type POI in p5 is p22, and the son consumption POI probability of p22 is q51；Because in p1 and p3 Consumption type POI is identical, and consumption type POI is identical in p2 and p5, illustrate user 8 a.m. to 9 points, 4 points to 5 points of afternoon it Between period have the consumption type POI demand of p11, have p22 in 8 a.m. to, 2 pm to the period between 3 points at 9 points Consumption type POI demand.By this p1, p2, p3, p4 and p5 according to the sequencing of time tag, with p1/p5, p4, p2, p3 Be arranged sequentially on preset time axis, and show p1, p2, p3, p4 and p5 consumption type POI and its corresponding sub- consumption POI probability size, convenient for fast and accurately reflecting user in the consumption demand of day part according to the content of displaying.

Further, referring to figure 2., on the basis of user of the present invention draws a portrait generation method first embodiment, this is proposed User's portrait generation method second embodiment is invented, it is in a second embodiment, described that generation is used according to each probability type Family includes: after the step of consumption of the predetermined period is drawn a portrait

Step S40 consumes POI probability to son possessed by identical consumption type POI each in the predetermined period day part It adds up, generates the type consumption POI probability of each consumption type POI in the predetermined period；

Understandably, demand of the user to different consumption type POI is different, and each consumption type can be used in demand size The POI probability of POI embodies.By son possessed by the identical consumption type POI in predetermined period in day part consume POI probability into Row is cumulative, generates user and the type of each consumption type POI is gone to consume POI probability in predetermined period, this type consumes POI probability The total probability of all kinds of consumption type POI is gone in predetermined period for user, it is big to characterize demand of the user to all kinds of consumption type POI It is small.As user is related to consumption type T11, T12, T13, T14 in period T1, and son consumption POI probability be respectively t11, T12, t13 and t14, and it is related to consumption type T21, T12, T13, T24 in period T2, and son consumption POI probability is respectively T21, t22, t23 and t24；Then the son consumption POI probability of the T12 in T1 and T2 is added up, generates the type consumption of T12 POI probability (t12+t22), while the son consumption POI probability of T13 being added up, generate the type consumption POI probability of T13 (t13+t23).It adds up to the son consumption POI probability for belonging to identical consumption type POI in day part, until in predetermined period Day part is cumulative to be completed, and is generated each type consumption POI probability of all kinds of consumption type POI, is consumed by this each type POI probability reflects demand of the user to all kinds of consumption type POI.

Step S50 arranges each type consumption POI probability according to numerical values recited, generates type probability sequence；

Further, after generating each type consumption POI probability, each type consumption POI probability has different numbers It is worth size, wherein numerical value is bigger, is more able to satisfy user demand；To each type consumption POI probability according to numerical values recited into Row arrangement, sequence of values obtained by arranging are type probability sequence.Arrangement operation can arrange in the way of from big to small by numerical value Column, or by numerical value from small to large in the way of arrange, preferably arranged in the way of from big to small by numerical value.For from Small mode is arrived greatly, more forward data are arranged in type probability sequence, and numerical value is bigger, can more reflect that user's is consumer Type POI demand.

Step S60 reads the type consumption POI probability that default position is arranged in the type probability sequence, and really Fixed target consumer type POI corresponding with type consumption POI probability in default position；

In order to consume the consumption type POI demand that POI probability reflects user by type, the present embodiment is previously provided with pre- If position, it is biggish several to account for user demand in all kinds of consumption type POI involved in predetermined period by this default position characterization user Class.The type consumption probability that default position is arranged in front in type probability sequence is read, and the type consumption thus in default position is general Identifier entrained by rate determine corresponding target consumer type POI, this target consumer type POI be user demand compared with Big consumption type POI.Default position is such as set as 3, and type probability sequence according to numerical values recited put in order for m5, m2, m3, M5, m2 and m3 type for being determined as being arranged in default position are then consumed POI probability by m8, m6；To read m5, m2, m3 The identifier of middle carrying is each consumption type POI that can determine this m5, m2, m3 institute source according to identifier；M5, m2, m3 come Each consumption type POI in source is substantially the consumption type POI that type consumption POI probability is respectively m5, m2, m3, and this type is disappeared Expense POI probability is respectively the consumption type POI of m5, m2, m3 as target consumer type POI, is disappeared with reflecting that user is required Take type POI.

Step S70 obtains type information corresponding with the target consumer type POI, and the type information is transmitted The terminal held to user.

Understandably, the information of various consumption type POI can be updated with the time, such as the pearl as consumption type POI Jewelry decorants, different time have style update or price it is preferential, as the cinema of consumption type POI, in difference Time has the film update etc. newly shown.After determining the required target consumer type POI of user, then obtain and this target The corresponding type information of consumption type POI；The more new information that this type information is updated by each target consumer type POI, can lead to It crosses and establishes communication connection acquisition with the third-party institution, such as the product information platform with each target consumer type POI establishes communication link It connects.This type information obtained is transferred to the terminal that user is held, user is facilitated to understand its required target consumer class The up-to-date information of type POI；The terminal that user is held can be mobile phone, the tablet computer etc. that user uses, without limitation.

Further, described according to each probability type in user of the present invention portrait another embodiment of generation method Include: to user is generated after the step of consumption of the predetermined period is drawn a portrait

Step q1 is determined corresponding with the real-time position information real-time when detecting the real-time position information of user Consumption type POI；

Understandably, after generating consumption portrait of the user in predetermined period, user can be embodied by consumption portrait and existed The consumption demand of different periods；The consumption demand of user can be speculated according to the consumption portrait of generation to subsequent, and push away to user Its wide institute may demand consumer products information, realization precision marketing.Specifically, when detecting use by the held terminal of user When the real-time position information at family, can deduce user has the demand for going to a certain POI around this real-time position information, so as to It is positioned by base station or GPS (Global Positioning System, global positioning system) and determines this real-time position information week Real-time consumption type POI, this real-time consumption type POI possessed by enclosing are the consumption type that user may currently be gone to POI。

Step q2 reads customer consumption portrait and real-time time corresponding to the user, is drawn a portrait according to the customer consumption, Determine that user removes the real-time POI probability of each real-time consumption type POI in the real-time time；

Further, in order to determine real-time consumption type POI that user most possibly goes, user corresponding to the user is read Consumption portrait, because customer consumption portrait is related to the period, to also need to read the real-time time for detecting real-time position information. Wherein because the consumption for being related to numerous users is drawn a portrait in server, drawing a portrait for each consumption, it is corresponding with each user to be provided with, and Characterize the user identifier of uniqueness；Such as realizing the unique identifier of the terminal of user's positioning.Held when by user When terminal detects the real-time position information of user, the unique identifier of this terminal carrying is further read, by this unique identification The respectively entrained user identifier comparison of consumption portrait in symbol and server；When the entrained user identifier of consumption portrait and this When unique identifier is consistent, then illustrates that this consumption portrait is that customer consumption corresponding to the user is drawn a portrait, the consumption of user can be embodied Demand.The son consumption POI probability of each consumption type POI is removed because being related to each period user in customer consumption portrait, thus by This customer consumption portrait can speculate the consumption POI type that user goes required for this real-time time possibility.

Possessed consumption type POI is limited around the real time position gone in view of user, but user goes to this in real time Position illustrates that user has the demand of a certain consumption type POI around this real time position；To combine customer consumption portrait institute's body Existing user possessed consumption type POI around the consumption demand of day part and real time position, determines required for user The consumption type POI gone.This consumption type POI be the user that speculates may required for the POI that goes, and its quantity can be it is multiple It is also possible to single；When being multiple, cross-talk consumes POI probabilistic and exists when for where real-time time in customer consumption portrait Former POI；When being single, then for cross-talk consumes POI maximum probability when real-time time place in customer consumption portrait POI.To determine customer consumption portrait and real-time time after, further by real-time time and customer consumption portrait in it is each when Section comparison determines the period where real-time time, and then determines that son consumption POI possessed by this period is general in customer consumption portrait Rate.It is included in period 10 AM between ten one points if real-time time is 10 AM half, and in customer consumption portrait Consumption type POI be w1, w2, w3, w4 and w5, and corresponding sub- consumption POI probability be w11, w22, w33, w44 and w55, from And can determine in customer consumption portrait consumed with son corresponding to current real-time time POI probability for w11, w22, w33, w44 and w55。

Because of the real-time position information that user is currently located, possessed real-time consumption type POI may with it is current real-time when Between corresponding consumption type POI it is different so that the consumption type that user cannot currently go current real-time time not have POI；Real-time consumption type POI as defined is w1, w3, w4 and w5, and without w5, user cannot in current real-time time Remove the consumption type POI of w5.To, with after consumption type POI corresponding to current real-time time, need further to tie determining It closes real-time consumption type POI and determines the consumption type POI that user's real-time time may be gone to；This consumption type that may be gone to POI is to be present in consumption type POI included by the period corresponding to current instant position, and be present in real-time consumption type Consumption type POI in POI；The son consumption POI probability for the consumption type POI that this may be gone to is as user in real-time time Go to the real-time POI probability of each real-time consumption type POI, the consumption type POI institute that characterization user may go in real-time time The son consumption POI probability having.

Step q3 arranges the real-time POI probability according to numerical values recited, generates real-time probability sequence, and determine It is arranged in the real-time POI probability of target that the real-time probability sequence presets position；

Understandably, the size of each real-time POI probability reflects a possibility that user removes real-time consumption type POI size, To be arranged according to numerical values recited each real-time POI probability, sequence of values obtained by arranging is real-time probability sequence.Arrangement Operation can be arranged in the way of from big to small by numerical value, or by numerical value from small to large in the way of arrange, preferably It is arranged in the way of from big to small by numerical value.For mode from big to small, more forward number is arranged in type probability sequence According to numerical value is bigger, can more reflect that user goes the demand of real-time consumption type POI.In order to accurately reflect that user goes to disappear in real time Take the demand of type POI, the present embodiment is equally characterized with pre-set default position, this is with default position characterization user in reality When location information involved in each real-time consumption type POI, account for the biggish several classes of user demand.Real-time probability sequence will be arranged in The real-time POI determine the probability of preceding default position is the real-time POI probability of target in column, this each real-time POI probability of target is with higher A possibility that numerical value, user goes it to correspond to real-time consumption type POI, is larger.

Step q4, obtains the real time information of real-time consumption type POI corresponding with the real-time POI probability of the target, and by institute State the terminal that real-time information transmission is held to user.

Further, the identifier as entrained by the target real-time POI probability for being arranged in default position determines corresponding Real-time consumption type POI, this corresponding real-time consumption type POI are the required consumption type POI gone of user's real-time time. It is communicated to connect by being established with the product information platform of each corresponding real-time consumption type POI, obtains and corresponding disappear in real time with each Take the real time information of type POI；This real time information is each corresponding real-time consumption type POI information possessed by real-time time, Such as correspond to merchandise news, the pricing information, business hours information of real-time consumption type POI.The real time information that this is obtained passes The defeated terminal held to user facilitates user to understand the real time information of its possible required real-time consumption type POI gone.

Further, in user of the present invention portrait another embodiment of generation method, the reading user is default Include: before the step of removing the POI probability of each POI in period

Step q5 reads each location information of the user in predetermined period, and counts with each location information and be POI in the preset range of the heart；

Understandably, it is generated because of each POI probability according to each location information of the user in predetermined period, without It is not identical with POI possessed around location information, and user is not identical in the position that different time is gone；To generate use When each POI probability of the family in predetermined period, by GPS positioning service or base station location service acquisition user in predetermined period In each location information, and count the POI in preset range centered on each location information.Wherein reading position information It can be the real-time operation in predetermined period with statistics POI operation, be also possible to unified operation after the completion of predetermined period； For real-time operation, GPS or base station position the location information of user in real time, and the location information positioned is deposited Storage；It reads the location information of this positioning in real time in predetermined period, counts in the preset range centered on this location information POI；It is for unified operation, then unified to read user in the position that predetermined period is gone to after the completion of the time of predetermined period Information counts the POI in the preset range centered on each position information.In view of although the POI around each position information is many A possibility that more, but the POI that user is gone is limited, and the POI remoter apart from each position information, and user is gone, is smaller；To pre- This preset range is first set according to the distance range of user gone to POI centered on location information in multiple historical datas, with Preset range is set to meet the trip requirements of most people.To the POI statistics in this preset range of each position information, user is characterized The each POI that may be gone to from each position information corresponding position.

Step q6 determines user from each institute's rheme according to the distance relation of each location information and the preset range Confidence ceases the POI probability for removing each POI, generates the POI probability that user removes each POI in predetermined period.

Further, for each POI within a preset range, user can go to its POI for needing to go according to demand, use Family goes the probability of each POI identical, and the sum of total probability for removing each POI is 1；To the total of the had POI in preset range Quantity is counted, then does ratio with total quantity with 1, and the result of ratio is that user from certain location information of predetermined period goes this The POI probability of each POI in location information preset range；As there are 5 POI in certain location information preset range, then go each The probability of POI is 1/5.According in this way to user from each position information go to the POI probability of each POI in preset range into Row calculates, until the POI probability of each POI in the preset range of all location informations is computed determination, by this calculating User goes the POI probability of each POI in preset range to store from each position information, so as to subsequent general according to this each POI Rate determines that user goes the demand size of each POI.

In addition, it is contemplated that difference the distance between POI and location information are different in preset range, different distances to Family goes the probability of each POI to have an impact from location information；A possibility that wherein remoter POI of distance and position information, user is gone to It is smaller, to reduce the probability that user removes this POI；So that user from location information go the POI probability of each POI in addition to POI quantity phase is outside the Pass, also related to the distance between each POI and location information.It specifically, will be pre- when determining POI probability If range is divided into multiple far and near regions, different distance regions are not identical at a distance from location information.Because distance and position information compared with Close far and near region, the probability that user goes to this region is relatively large, and goes to the farther away far and near region of distance and position information Probability is relatively small, so that the distance relation according to far and near region and location information, distributes different regions for each far and near region Probability characterizes a possibility that user goes to each distance region in preset range size.Determining each distance region in preset range After area probability, herein on the basis of each area probability, further determining POI probability is updated.Specifically, in root After the POI probability for determining each POI according to POI quantity in preset range, then it is general with POI probability and region possessed by far and near region Rate is multiplied；The result of multiplication be to user location information go the POI probability updating of each POI in far and near region as a result, The POI probability of each POI in preset range is removed from location information for user；According to being gone in this way to user from each position information The POI probability of each POI in each distance region is calculated in preset range, until in the preset range of all location informations Each POI probability is computed completion.By continuing pre- range to be subdivided into multiple far and near regions, make identified POI probability more To be accurate, and more accurately reflect the POI demand of user's each position information in predetermined period.

In addition, referring to figure 3., the present invention provides a kind of customer consumption portrait generating means, drawn in customer consumption of the present invention In picture generating means first embodiment, the customer consumption portrait generating means include:

Read module 10 removes the POI probability of each POI for reading user in predetermined period, and to each POI probability It is counted according to the POI type belonged to, determines that user removes the overall consumption POI probability of all consumption type POI；

Determining module 20, for judging whether the overall consumption POI probability is greater than preset value, if more than the preset value, Then determine sub- consumption POI probability corresponding with each consumption type POI in the day part of the predetermined period；

Generation module 30 is used for each sub- consumption POI probability and corresponding consumption type POI formation probability type It is right, and drawn a portrait according to each probability type to consumption of the user in the predetermined period is generated.

The customer consumption portrait generating means of the present embodiment, are first gone in predetermined period by read module 10 according to user each The POI probability of a POI determines that user removes the overall consumption POI probability of all consumption type POI；This overall consumption POI probability reflects User is to the conditions of demand of consumption type POI, and wherein overall consumption POI probability is bigger, illustrates demand of the user to consumption type POI It is bigger；When determining module 20 judges that this overall consumption POI probability is greater than preset value, illustrate that consumption type POI lives in user In shared specific gravity it is larger, the success rate for promoting consumer products to this user is higher；To further determine that in predetermined period Sub- consumption POI probability corresponding with each consumption type POI in day part, this sub- consumption POI probability show user in different periods Required consumption type POI；And then consumption type POI shape by generation module 30 that each sub- consumption POI probability is corresponding At multiple probability types pair, drawn a portrait by each probability type to consumption of the user in predetermined period is generated；It is drawn by this customer consumption Picture, consumption demand of the Lai Tixian user in different periods.Because customer consumption portrait by user each period consumption type POI And its son consumption POI probability is generated, the consumption type POI gone in the period with period, user and each consumption type The son consumption POI probability correlation of POI, so that customer consumption portrait can reflect that user's is various by period and consumption type POI Consumption demand, and the reflection of POI probability is consumed to the size of various consumption demands by son；It avoids coming using user characteristic data anti- Customer consumption demand is reflected, and is drawn a portrait using the consumption for being related to all consumption type POI that user is gone more fully to reflect Customer consumption demand improves the accuracy to the reflection of customer consumption demand.

Further, in customer consumption of the present invention portrait another embodiment of generating means, the read module includes:

Reading unit for reading identifier entrained in each POI probability, and is screened from each identifier It is attributed to the consumption identifier of consumption type out；

Summing elements generate user and go to own for adding up to the POI probability with the consumption identifier The overall consumption POI probability of consumption type POI.

Further, in customer consumption of the present invention portrait another embodiment of generating means, the determining module includes:

Determination unit for the predetermined period to be divided into multiple subcycles, and according to each identifier, is determined and is used Family each subcycle day part each consumption type POI, and the period corresponding with each consumption type POI consume POI probability；

Generation unit, for it is described possessed by each identical consumption type POI in each subcycle identical period when Section consumption POI probability adds up, and generates sub- consumption corresponding with each consumption type POI in the day part of the predetermined period POI probability.

Further, in customer consumption of the present invention portrait another embodiment of generating means, the generation module includes:

Allocation unit, for the source period of the consumption POI probability of the son according to each probability type pair, for each institute Probability type is stated to distribution period label；

Arrangement units, it is for the sequencing according to the period label, each probability type is default to being aligned to On time shaft, the consumption for generating user in the predetermined period day part is drawn a portrait.

Further, in customer consumption of the present invention portrait another embodiment of generating means, the customer consumption portrait life At device further include:

Accumulator module, for consuming POI to son possessed by identical consumption type POI each in the predetermined period day part Probability adds up, and generates the type consumption POI probability of each consumption type POI in the predetermined period；

Module is arranged, for being arranged according to numerical values recited each type consumption POI probability, generates type probability Sequence；

The read module is also used to, and reads the type consumption that default position is arranged in the type probability sequence POI probability, and determine target consumer type POI corresponding with the type consumption POI probability in default position；

Module is obtained, for obtaining corresponding with target consumer type POI type information, and by the type information It is transferred to the terminal that user is held.

Detection module, for when detecting the real-time position information of user, determination to be corresponding with the real-time position information Real-time consumption type POI；

The read module is also used to, and customer consumption portrait and real-time time corresponding to the user is read, according to described Customer consumption portrait, determines that user removes the real-time POI probability of each real-time consumption type POI in the real-time time；

The arrangement module is also used to, and is arranged according to numerical values recited the real-time POI probability, is generated real-time probability Sequence, and determine and be arranged in the real-time POI probability of target that the real-time probability sequence presets position；

Transmission module, for obtaining the real time information of real-time consumption type POI corresponding with the real-time POI probability of the target, And the terminal for being held the real-time information transmission to user.

Statistical module for reading each location information of the user in predetermined period, and is counted and is believed with each position The POI in preset range centered on breath；

The generation module is also used to, and according to the distance relation of each location information and the preset range, is determined and is used The POI probability of each POI is removed at family from each location information, generates the POI probability that user removes each POI in predetermined period.

Wherein, each virtual functions module of above-mentioned customer consumption portrait generating means is stored in the picture of customer consumption shown in Fig. 4 As generating device memory 1005 in, processor 1001 execute customer consumption portrait generate program when, realize Fig. 3 shown in implement The function of modules in example.

Referring to Fig. 4, Fig. 4 is the device structure schematic diagram for the hardware running environment that present invention method is related to.

Customer consumption of embodiment of the present invention portrait generating device can be PC (personal computer, individual calculus Machine), it is also possible to the terminal devices such as smart phone, tablet computer, E-book reader, portable computer.

As shown in figure 4, customer consumption portrait generating device may include: processor 1001, such as CPU (Central Processing Unit, central processing unit), memory 1005, communication bus 1002.Wherein, communication bus 1002 for realizing Connection communication between processor 1001 and memory 1005.Memory 1005 can be high-speed RAM (random access Memory, random access memory), it is also possible to stable memory (non-volatile memory), such as disk storage Device.Memory 1005 optionally can also be the storage device independently of aforementioned processor 1001.

Optionally, customer consumption portrait generating device can also include user interface, network interface, camera, RF (Radio Frequency, radio frequency) circuit, sensor, voicefrequency circuit, WiFi (Wireless Fidelity, WiMAX) mould Block etc..User interface may include display screen (Display), input unit such as keyboard (Keyboard), and optional user connects Mouth can also include standard wireline interface and wireless interface.Network interface optionally may include the wireline interface, wireless of standard Interface (such as WI-FI interface).

It will be understood by those skilled in the art that the portrait generating device structure of customer consumption shown in Fig. 4 is not constituted pair The restriction of customer consumption portrait generating device, may include components more more or fewer than diagram, or combine certain components, or The different component layout of person.

As shown in figure 4, as may include operating system, network communication in a kind of memory 1005 of readable storage medium storing program for executing Module and customer consumption portrait generate program.Operating system is to manage and control customer consumption portrait generating device hardware and soft The program of part resource supports customer consumption portrait to generate the operation of program and other softwares and/or program.Network communication module For realizing the communication between each component in the inside of memory 1005, and with other hardware in customer consumption portrait generating device and It is communicated between software.

In customer consumption portrait generating device shown in Fig. 4, processor 1001 stores in memory 1005 for executing Customer consumption portrait generate program, realize the step in above-mentioned customer consumption portrait each embodiment of generation method.

The present invention provides a kind of readable storage medium storing program for executing, the readable storage medium storing program for executing is stored with one or more than one journey Sequence, the one or more programs can also be executed by one or more than one processor for realizing above-mentioned use Step in family consumption portrait each embodiment of generation method.

It should also be noted that, herein, the terms "include", "comprise" or its any other variant are intended to non- It is exclusive to include, so that the process, method, article or the device that include a series of elements not only include those elements, It but also including other elements that are not explicitly listed, or further include solid by this process, method, article or device Some elements.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including There is also other identical elements in the process, method of the element, article or device.

The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.

Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side Method can be realized by means of software and necessary general hardware platform, naturally it is also possible to by hardware, but in many cases The former is more preferably embodiment.Based on this understanding, technical solution of the present invention substantially in other words does the prior art The part contributed out can be embodied in the form of software products, which is stored in one as described above In readable storage medium storing program for executing (such as ROM/RAM, magnetic disk, CD), including some instructions are used so that a terminal device (can be hand Machine, computer, server or network equipment etc.) execute method described in each embodiment of the present invention.

The above description is only a preferred embodiment of the present invention, is not intended to limit the scope of the invention, all at this Under the design of invention, using equivalent structure transformation made by description of the invention and accompanying drawing content, or directly/it is used in it indirectly He is included in scope of patent protection of the invention relevant technical field.

Claims

The generation method 1. a kind of customer consumption is drawn a portrait, which is characterized in that the customer consumption portrait generation method includes following step It is rapid:

The POI probability that user removes each POI in predetermined period is read, and to each POI probability according to the POI type belonged to It is counted, determines that user removes the overall consumption POI probability of all consumption type POI；

Judge whether the overall consumption POI probability is greater than preset value, if more than the preset value, it is determined that the predetermined period Sub- consumption POI probability corresponding with each consumption type POI in day part；

By each sub- consumption POI probability and corresponding consumption type POI formation probability type pair, and according to each probability class Type is drawn a portrait to consumption of the user in the predetermined period is generated.
The generation method 2. customer consumption as described in claim 1 is drawn a portrait, which is characterized in that described that each POI probability is pressed It is counted according to the POI type belonged to, determines that the step of user removes the overall consumption POI probability of all consumption type POI includes:

Identifier entrained in each POI probability is read, and is filtered out from each identifier and is attributed to consumption type Consumption identifier；

It adds up to the POI probability with the consumption identifier, generates user and go always disappearing for all consumption type POI Take POI probability.
The generation method 3. customer consumption as claimed in claim 2 is drawn a portrait, which is characterized in that the determination predetermined period The step of sub- consumption POI probability corresponding with each consumption type POI, includes: in day part

The predetermined period is divided into multiple subcycles, and according to each identifier, determines user in each subcycle Each consumption type POI of day part, and period corresponding with each consumption type POI consume POI probability；

The period consumption POI probability possessed by each identical consumption type POI in each subcycle identical period is carried out It is cumulative, generate sub- consumption POI probability corresponding with each consumption type POI in the day part of the predetermined period.
The generation method 4. customer consumption as claimed in claim 3 is drawn a portrait, which is characterized in that described according to each probability type Include: to user is generated in the step of consumption portrait of the predetermined period

The source period of POI probability is consumed according to son described in each probability type pair, is each probability type to distribution Period label；

User is generated by each probability type to being aligned on preset time axis according to the sequencing of the period label It draws a portrait in the consumption of the predetermined period day part.
The generation method 5. customer consumption as claimed in claim 3 is drawn a portrait, which is characterized in that described according to each probability type Include: to user is generated after the step of consumption of the predetermined period is drawn a portrait

It adds up, generates to the consumption POI probability of son possessed by identical consumption type POI each in the predetermined period day part The type of each consumption type POI consumes POI probability in the predetermined period；

Each type consumption POI probability is arranged according to numerical values recited, generates type probability sequence；

Read be arranged in the type probability sequence default position the type consumption POI probability, and determine in default position The corresponding target consumer type POI of type consumption POI probability；

Type information corresponding with the target consumer type POI is obtained, and the type information is transferred to user and is held Terminal.
The generation method 6. customer consumption as described in any one in claim 1-5 is drawn a portrait, which is characterized in that described according to each described Probability type to generate user the predetermined period consumption draw a portrait the step of after include:

When detecting the real-time position information of user, real-time consumption type POI corresponding with the real-time position information is determined；

Customer consumption portrait and real-time time corresponding to the user are read, is drawn a portrait according to the customer consumption, determines that user exists The real-time time removes the real-time POI probability of each real-time consumption type POI；

The real-time POI probability is arranged according to numerical values recited, generates real-time probability sequence, and determination is arranged in the reality When probability sequence preset position the real-time POI probability of target；

The real time information of real-time consumption type POI corresponding with the real-time POI probability of the target is obtained, and the real time information is passed The defeated terminal held to user.
The generation method 7. customer consumption as described in any one in claim 1-5 is drawn a portrait, which is characterized in that the reading user exists Include: before the step of removing the POI probability of each POI in predetermined period

Each location information of the user in predetermined period is read, and counts the preset range centered on each location information Interior POI；

According to the distance relation of each location information and the preset range, determine that user goes to each institute from each location information The POI probability of POI is stated, the POI probability that user removes each POI in predetermined period is generated.
The generating means 8. a kind of customer consumption is drawn a portrait, which is characterized in that the customer consumption portrait generating means include:

Read module removes the POI probability of each POI for reading user in predetermined period, and to each POI probability according to institute The POI type of ownership is counted, and determines that user removes the overall consumption POI probability of all consumption type POI；

Determining module, for judging whether the overall consumption POI probability is greater than preset value, if more than the preset value, it is determined that Sub- consumption POI probability corresponding with each consumption type POI in the day part of the predetermined period；

Generation module is used for each sub- consumption POI probability and corresponding consumption type POI formation probability type pair, and root It draws a portrait according to each probability type to consumption of the user in the predetermined period is generated.
The generating device 9. a kind of customer consumption is drawn a portrait, which is characterized in that the customer consumption portrait generating device includes: storage Device, processor, communication bus and the customer consumption portrait being stored on the memory generate program；

The communication bus is for realizing the connection communication between processor and memory；

The processor generates program for executing the customer consumption portrait, to realize such as any one of claim 1-7 institute The step of customer consumption portrait generation method stated.
10. a kind of readable storage medium storing program for executing, which is characterized in that be stored with customer consumption portrait on the readable storage medium storing program for executing and generate journey Sequence, the customer consumption portrait, which generates when program is executed by processor, realizes such as user of any of claims 1-7 The step of consumption portrait generation method.