CN107526778A - A kind of method and device that generation race client is excavated according to user behavior data - Google Patents
A kind of method and device that generation race client is excavated according to user behavior data Download PDFInfo
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- CN107526778A CN107526778A CN201710603200.XA CN201710603200A CN107526778A CN 107526778 A CN107526778 A CN 107526778A CN 201710603200 A CN201710603200 A CN 201710603200A CN 107526778 A CN107526778 A CN 107526778A
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Abstract
The method and device provided by the invention that generation race client is excavated according to user behavior data, by obtaining and the first user for race business association, gather User operation log of first user in the range of preset time threshold, the user behavior data for obtaining the first user is analyzed according to the User operation log of the first user, according to the user behavior data of the first user, judge whether the first user is to run client in generation, solves the technical problem that prior art is unable to automatic mining generation and runs client, realize and client is run according to user behavior data automatic mining generation, feasibility and reliability are high.
Description
Technical field
The present invention relates to communication technical field, and in particular to a kind of method that generation race client is excavated according to user behavior data
And device.
Background technology
In generation, runs initial be meant that and is run instead of client.As time goes on, turn into the code name for replacing people to run errands working for running
Word.And with the fast development of internet, also emerged in large numbers like the mushrooms after rain for race demand.In existing generation, runs company and receives generation race industry
Business, generally require client and actively seek or issue generation race business demand, and can not actively excavate generation and run client.For the problem,
The invention provides a kind of method and device that generation race client is excavated according to user behavior data.
The content of the invention
The invention provides a kind of method and device that generation race client is excavated according to user behavior data, to solve existing skill
Art is unable to the technical problem for running client in automatic mining generation.
According to an aspect of the present invention, the invention provides a kind of side that generation race client is excavated according to user behavior data
Method, including：
Obtain and the first user for race business association；
Gather User operation log of first user in the range of preset time threshold；
The user behavior data for obtaining the first user is analyzed according to the User operation log of the first user；
According to the user behavior data of the first user, judge whether the first user is to run client in generation.
Further, obtain with including for the first user for running business association：
Self-defined user group；
Gather the essential information of user group；
According to the essential information of user group and the similarity between generation race business keyword is preset, is obtained and for race business association
The first user.
Further, according to the user behavior data of the first user, judge whether the first user is to run client generation to include：
The keyword in the user behavior data of the first user is extracted, obtains first user's keyword；
First user's keyword is run into client's keyword with pre-defined generation to be matched, and judges first according to matching result
Whether user is to run client in generation.
Further, first user's keyword is run into client's keyword with pre-defined generation to be matched, and according to
Judge whether the first user is to run client generation to include with result：
The similarity between first user's keyword and race of pre-defined generation client's keyword is calculated, and chooses similarity and is more than
First user corresponding to default similarity threshold is used as generation to run client.
Further, first user's keyword is run into client's keyword with pre-defined generation to be matched, and according to
Judge whether the first user is to run client generation to include with result：
The quantity of the pre-defined generation race client's keyword included in first user's keyword is counted, and chooses quantity and is more than in advance
If the first user corresponding to amount threshold is used as generation to run client.
Further, user behavior data includes：
User searches for, browsed, chatting, conversing, giving a mark, commenting on, net purchase, application program usage behavior data.
According to another aspect of the present invention, the invention provides a kind of dress that generation race client is excavated according to user behavior data
Put, including：
First user's acquisition device 10, for obtaining and the first user for race business association；
User operation log harvester 20, day is operated for gathering user of first user in the range of preset time threshold
Will；
User behavior data acquisition device 30, the use of the first user is obtained for being analyzed according to the User operation log of the first user
Family behavioral data；
In generation, runs client's judgment means 40, for the user behavior data according to the first user, judges whether the first user is to run in generation
Client.
Further, first user's acquisition device 10 includes：
User group sets device, for self-defined user group；
Essential information harvester, for gathering the essential information of user group；
First user's acquisition device, for similar between the essential information according to user group and default generation race business keyword
Degree, obtain and the first user for race business association.
Further, in generation, runs client's judgment means 40 and includes：
Extraction element, the keyword in user behavior data for extracting the first user, obtains first user's keyword；
Coalignment, matched for first user's keyword to be run into client's keyword with pre-defined generation, and according to
Judge whether the first user is to run client in generation with result.
Further, coalignment includes：
Similarity Measure device, it is similar between first user's keyword and race of pre-defined generation client's keyword for calculating
Degree, and choose similarity and be used as generation to run client more than the first user corresponding to default similarity threshold.
The invention has the advantages that：
The method and device provided by the invention that generation race client is excavated according to user behavior data, by obtaining with being closed for the business of race
First user of connection, User operation log of the first user of collection in the range of preset time threshold, according to the use of the first user
Family Operation Log analysis obtains the user behavior data of the first user, according to the user behavior data of the first user, judges first
User whether be generation run client, solve prior art be unable to automatic mining generation run client technical problem, realize according to
In family behavioral data automatic mining generation, runs client, and feasibility and reliability are high.
In addition to objects, features and advantages described above, the present invention also has other objects, features and advantages.
Below with reference to figure, the present invention is further detailed explanation.
Brief description of the drawings
The accompanying drawing for building the part of the application is used for providing a further understanding of the present invention, schematic reality of the invention
Apply example and its illustrate to be used to explain the present invention, do not build inappropriate limitation of the present invention.In the accompanying drawings：
Fig. 1 is the method flow diagram that the preferred embodiment of the present invention excavates generation race client according to user behavior data；
Fig. 2 is the method that generation race client is excavated according to user behavior data for simplifying embodiment that the preferred embodiment of the present invention is directed to
Flow chart；
Fig. 3 is the structured flowchart that the preferred embodiment of the present invention excavates generation race customer set up according to user behavior data.
Description of reference numerals：
10th, first user's acquisition device；20th, User operation log acquisition device；30th, user behavior data acquisition device；40th, generation
Run client's judgment means.
Embodiment
Embodiments of the invention are described in detail below in conjunction with accompanying drawing, but the present invention can be defined by the claims
Implement with the multitude of different ways of covering.
Reference picture 1, the preferred embodiments of the present invention provide a kind of side that generation race client is excavated according to user behavior data
Method, including：
Step S101, obtain and the first user for race business association；
Step S102, obtain User operation log of first user in the range of preset time threshold；
Step S103, the user behavior data for obtaining the first user is analyzed according to the User operation log of the first user；
Step S104, according to the user behavior data of the first user, judge whether the first user is to run client in generation.
The method provided by the invention that client is run according to user behavior data excavation generation, by obtaining and for race business association
The first user, User operation log of first user in the range of preset time threshold is obtained, according to the user of the first user
Operation Log analysis obtains the user behavior data of the first user, according to the user behavior data of the first user, judges the first use
Whether family is to run client in generation, solves the technical problem that prior art is unable to automatic mining generation and runs client, realizes according to user
In behavioral data automatic mining generation, runs client, and feasibility and reliability are high.
It is by carrying out judgement progress to the first user, and in reality to realize that automatic mining generation runs client due to the present embodiment
Implementation process in, because the first user object category of selection is bigger, amount of calculation is bigger, so as to cause excavate generation run client
Efficiency it is not necessarily high.For the problem, the present embodiment can be chosen and for race business or for running when choosing the first user
The related user of industry is as the first user, so as to improve speed and the degree of accuracy that automatic mining generation runs client.
In addition, the user behavior data that the present embodiment obtains the first user is often to be realized according to User operation log.
Specifically, User operation log of first user in the range of preset time threshold is obtained first, then according to the first user's
User operation log analysis obtains the user behavior data of the first user.
It should be noted that the preset time threshold scope in the present embodiment can be with self-defined.Such as assume current time
For 12 noon on June 24, preset time threshold is 24 hours, then the present embodiment gathers the first user at noon 12 June 23
User operation log between point to June 24 12 noon.
In addition, the present embodiment analyzes the user behavior number for obtaining the first user according to the User operation log of the first user
According to the user behavior data of the first user can be extracted from User operation log by way of matching regular expressions.
Alternatively, obtain with including for the first user for running business association：
Self-defined user group；
Gather the essential information of user group；
According to the essential information of user group and the similarity between generation race business keyword is preset, is obtained and for race business association
The first user.
Specifically, the present embodiment user group self-defined first, such as it is Changsha city that can pre-define user group
Wechat user or Changsha city QQ female users；Then the essential information of user group, such as sex, age, duty are gathered
Industry, position, hobby etc., finally according to similar between the essential information of user group and default generation race business keyword
Degree, obtain and the first user for race business association.
It should be noted that in the present embodiment preset generation run business keyword it is self-defined in advance by user, mainly with generation
Race business or for some words for running business association, for example, " race ", " generation run ", " running errands ", " busy to run ", " helping me to run ", " please
People, which helps, to run " etc..
Alternatively, according to the user behavior data of the first user, judge whether the first user is to run client generation to include：
The keyword in the user behavior data of the first user is extracted, obtains first user's keyword；
First user's keyword is run into client's keyword with pre-defined generation to be matched, and judges first according to matching result
Whether user is to run client in generation.
The present embodiment judges whether the first user is that generation race client is mainly root according to the user behavior data of the first user
Realized according to the particular content of the user behavior data of the first user.Specifically, the user behavior number of the first user is extracted first
Keyword in, first user's keyword is obtained, it is crucial that first user's keyword then is run into client with pre-defined generation
Word is matched, and judges whether the first user is to run client in generation according to matching result.
It should be noted that during keyword of the present embodiment in the user behavior data for extracting the first user, can be advance
The keyword number that need to be extracted is set, it is assumed for example that the keyword number that pre-setting to extract is 10, then the present embodiment carries
Take the user behavior data of in the user behavior data of the first user in the top ten keyword as the first user of extraction
In keyword.
And first user's keyword is carried out matching with pre-defined generation race client's keyword and can used by the present embodiment
The method of Similarity Measure, the method directly matched can also be used.
When using Similarity Measure method when, the present embodiment by calculate first user's keyword corresponding to term vector with
In pre-defined generation, runs the distance between term vector corresponding to client's keyword and realizes；When the distance between two term vectors are nearer
Illustrate that both similarities are bigger.And when using the method directly matched, then it can be wrapped by counting in first user's keyword
In the generation contained, runs client's keyword and realizes.
In generation in the present embodiment, runs client's keyword and is pre-defined by user, and these pre-defined generations run client's key
Word is often some words that business association is run with generation, for example, " race ", " generation run ", " running errands ", " busy to run ", " helping me to run ",
" help of asking someone is run " etc..
Alternatively, first user's keyword is run into client's keyword with pre-defined generation to be matched, and according to matching
As a result judge whether the first user is to run client generation to include：
The similarity between first user's keyword and race of pre-defined generation client's keyword is calculated, and chooses similarity and is more than
First user corresponding to default similarity threshold is used as generation to run client.
Closed when first user's keyword is run client by the present embodiment using the method for Similarity Measure with pre-defined generation
Keyword is matched, and judges whether the first user is when running client in generation, to calculate the first user key first according to matching result
In word and pre-defined generation, run the similarity between client's keyword, and it is corresponding more than default similarity threshold then to choose similarity
The first user be used as generation run client.Specifically, it is assumed that default similarity threshold is 0.6, and the first user calculated is crucial
When the similarity that word and pre-defined generation run between client's keyword is 0.5, because the similarity is less than default similarity
Threshold value, then it can determine that the first user corresponding to the similarity runs client for non-generation；Conversely, when the first user's keyword calculated
When the similarity run with pre-defined generation between client's keyword is 0.7, because the similarity is more than default similarity threshold
Value, then can determine that the first user corresponding to the similarity is to run client in generation.
The present embodiment is by judging the similarity between first user's keyword and race of pre-defined generation client's keyword
Whether it is more than default similarity threshold, judges whether the first user is to run client in generation, realize automatic identification and excavate generation and run visitor
Family, intelligence degree is high, and dependable with function is strong, has preferable application value.
Alternatively, first user's keyword is run into client's keyword with pre-defined generation to be matched, and according to matching
As a result judge whether the first user is to run client generation to include：
The quantity of the pre-defined generation race client's keyword included in first user's keyword is counted, and chooses quantity and is more than in advance
If the first user corresponding to amount threshold is used as generation to run client.
When first user's keyword and pre-defined generation are run client's key by the present embodiment using the method directly matched
Word is matched, and judges whether the first user is when running client in generation, to count first user's keyword first according to matching result
In pre-defined generation for including run the quantity of client's keyword, then choose quantity and be more than first corresponding to predetermined number threshold value
User is used as generation to run client.Specifically, it is assumed that predetermined number threshold value be 5, and count included in first user's keyword it is pre-
When the quantity that the generation first defined runs client's keyword is 4, because the quantity is less than default amount threshold, then the quantity can determine that
Corresponding first user is to run client in non-generation；Conversely, work as the pre-defined generation race for counting and being included in first user's keyword
When the quantity of client's keyword is 7, because the quantity is more than default amount threshold, then the first use corresponding to the quantity can determine that
Family is to run client in generation.
In the pre-defined generation that the present embodiment is included by counting in first user's keyword, runs the quantity of client's keyword
Whether it is more than predetermined number threshold value, judges whether the first user is to run client in generation, realize automatic identification and excavate generation and run client,
Intelligence degree is high, and dependable with function is strong, has preferable application value.
Alternatively, user behavior data includes：
User searches for, browsed, chatting, conversing, giving a mark, commenting on, net purchase, application program usage behavior data.
It should be noted that the user behavior data in the present embodiment is not limited to include user to search for, browse, chat, lead to
Words, marking, comment, net purchase, application program usage behavior data, specifically by User Defined.
Embodiment is simplified below for one to enter the method for excavating generation race client according to user behavior data of the present invention
Row illustrates further.
Reference picture 2, the method that generation race client is excavated according to user behavior data that embodiment offer is provided of the invention, bag
Include：
Step S201, obtain and the first user for race business association.
Specifically, then the present embodiment gathers user group essential information, finally by user group self-defined first
According to the essential information of user group and preset for the similarity run between business keyword, it is final to obtain and for race business association
The first user.
Step S202, obtain User operation log of first user in the range of preset time threshold.
Step S203, the user behavior data for obtaining the first user is analyzed according to the User operation log of the first user.
Specifically, the present embodiment can analyze the user's row for obtaining the first user according to the User operation log of the first user
User behavior data for data, and the first user therein can be user search for, browse, chatting, conversing, giving a mark, commenting on,
Net purchase, application program usage behavior data etc..
Step S204, the keyword in the user behavior data of the first user is extracted, obtain first user's keyword.
Specifically, it is assumed that it is 10 that the present embodiment, which pre-sets the keyword number that need to be extracted, then by the first user
User behavior data analyzed, in the top ten keyword is as carrying in the user behavior data of extractable first user
Keyword in the user behavior data of the first user taken.
Step S205, the similarity between first user's keyword and race of pre-defined generation client's keyword is calculated, and
Choose similarity is used as generation to run client more than the first user corresponding to default similarity threshold.
Specifically, first user's keyword is converted to term vector by the present embodiment first, then runs pre-defined generation
The term vector of client's keyword is converted to term vector, finally by the cosine value distance calculated between the two term vectors, obtains
Calculate the similarity between first user's keyword and race of pre-defined generation client's keyword.Assuming that the present embodiment obtain the
The similarity that one user's keyword and pre-defined generation run between client's keyword is 0.7, and default similarity threshold is
0.5, then it is not difficult to judge that the first user corresponding to the similarity is used as generation to run client.
As can be seen here, the present embodiment is by obtaining with for the first user for running business association, obtaining the first user default
User operation log in the range of time threshold, the user for obtaining the first user is analyzed according to the User operation log of the first user
Behavioral data, according to the user behavior data of the first user, judge whether the first user is to run client in generation, solves prior art
The technical problem of automatic mining generation race client is unable to, realizes and client, feasibility is run according to user behavior data automatic mining generation
With reliability height..
And the present embodiment is similar between first user's keyword and race of pre-defined generation client's keyword by judging
Whether degree is more than default similarity threshold, judges whether the first user is to run client in generation, realizes automatic identification and excavate generation and run
Client, intelligence degree is high, and dependable with function is strong, has preferable application value.
Reference picture 3, the device provided in an embodiment of the present invention that generation race client is excavated according to user behavior data, including：
First user's acquisition device 10, for obtaining and the first user for race business association；
User operation log harvester 20, day is operated for gathering user of first user in the range of preset time threshold
Will；
User behavior data acquisition device 30, the use of the first user is obtained for being analyzed according to the User operation log of the first user
Family behavioral data；
In generation, runs client's judgment means 40, for the user behavior data according to the first user, judges whether the first user is to run in generation
Client.
Alternatively, first user's acquisition device 10 includes：
User group sets device, for self-defined user group；
Essential information harvester, for gathering the essential information of user group；
First user's acquisition device, for similar between the essential information according to user group and default generation race business keyword
Degree, obtain and the first user for race business association.
Alternatively, in generation, runs client's judgment means 40 and includes：
Extraction element, the keyword in user behavior data for extracting the first user, obtains first user's keyword；
Coalignment, matched for first user's keyword to be run into client's keyword with pre-defined generation, and according to
Judge whether the first user is to run client in generation with result.
Alternatively, coalignment includes：
Similarity Measure device, it is similar between first user's keyword and race of pre-defined generation client's keyword for calculating
Degree, and choose similarity and be used as generation to run client more than the first user corresponding to default similarity threshold.
The device provided by the invention that client is run according to user behavior data excavation generation, by obtaining and for race business association
The first user, User operation log of the first user of collection in the range of preset time threshold, according to the user of the first user
Operation Log analysis obtains the user behavior data of the first user, according to the user behavior data of the first user, judges the first use
Whether family is to run client in generation, solves the technical problem that prior art is unable to automatic mining generation and runs client, realizes according to user
In behavioral data automatic mining generation, runs client, and feasibility and reliability are high.
The specific work process and operation principle of the device that generation race client is excavated according to user behavior data of the present embodiment
It can refer to the course of work and operation principle of the method that generation race client is excavated according to user behavior data in the present embodiment.
The preferred embodiments of the present invention are these are only, are not intended to limit the invention, for those skilled in the art
For member, the present invention can have various modifications and variations.Any modification within the spirit and principles of the invention, being made,
Equivalent substitution, improvement etc., should be included in the scope of the protection.
Claims (10)
- A kind of 1. method that generation race client is excavated according to user behavior data, it is characterised in that including：Obtain and the first user for race business association；Gather User operation log of first user in the range of preset time threshold；The user behavior data of first user is obtained according to the analysis of the User operation log of first user；According to the user behavior data of first user, judge whether first user is to run client in generation.
- 2. it is according to claim 1 according to user behavior data excavate generation run client method, it is characterised in that obtain with The first user that generation runs business association includes：Self-defined user group；Gather the essential information of the user group；Similarity between business keyword is run according to the essential information of the user group and default generation, obtained and for the business of race First user of association.
- 3. the method according to claim 2 that generation race client is excavated according to user behavior data, it is characterised in that according to institute The user behavior data of the first user is stated, judges whether first user is to run client generation to include：The keyword in the user behavior data of first user is extracted, obtains first user's keyword；The first user keyword is run into client's keyword with pre-defined generation to be matched, and judged according to matching result Whether first user is to run client in generation.
- 4. the method according to claim 3 that generation race client is excavated according to user behavior data, it is characterised in that by described in First user's keyword runs client's keyword with pre-defined generation and matched, and judges that described first uses according to matching result Whether family is to run client generation to include：The similarity between the first user keyword and race of pre-defined generation client's keyword is calculated, and chooses similarity It is used as generation to run client more than the first user corresponding to default similarity threshold.
- 5. the method according to claim 3 that generation race client is excavated according to user behavior data, it is characterised in that by described in First user's keyword runs client's keyword with pre-defined generation and matched, and judges that described first uses according to matching result Whether family is to run client generation to include：The quantity of the pre-defined generation race client's keyword included in the first user keyword is counted, and it is big to choose quantity It is used as generation to run client in the first user corresponding to predetermined number threshold value.
- 6. the method according to claim 5 that generation race client is excavated according to user behavior data, it is characterised in that the use Family behavioral data includes：User searches for, browsed, chatting, conversing, giving a mark, commenting on, net purchase, application program usage behavior data.
- A kind of 7. device that generation race client is excavated according to user behavior data, it is characterised in that including：First user's acquisition device 10, for obtaining and the first user for race business association；User operation log harvester 20, for gathering user operation of first user in the range of preset time threshold Daily record；User behavior data acquisition device 30, for obtaining described first according to the analysis of the User operation log of first user The user behavior data of user；In generation, runs client's judgment means 40, for the user behavior data according to first user, judges that first user is No is to run client in generation.
- 8. according to claim 7 excavate the device that generation runs client according to user behavior data, it is characterised in that described the One user's acquisition device 10 includes：User group sets device, for self-defined user group；Essential information harvester, for gathering the essential information of the user group；First user's acquisition device, between the essential information according to the user group and default generation race business keyword Similarity, obtain and the first user for race business association.
- 9. the device according to claim 8 that generation race client is excavated according to user behavior data, it is characterised in that the generation Running client's judgment means 40 includes：Extraction element, the keyword in user behavior data for extracting first user, obtain first user's keyword；Coalignment, matched for the first user keyword to be run into client's keyword with pre-defined generation, and root Judge whether first user is to run client in generation according to matching result.
- 10. the device according to claim 9 that generation race client is excavated according to user behavior data, it is characterised in that described Coalignment includes：Similarity Measure device, for calculating between the first user keyword and race of pre-defined generation client's keyword Similarity, and choose similarity and be more than the first user corresponding to default similarity threshold as generation race client.
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