CN102591990A - Method and device for acquiring user click information of website - Google Patents
Method and device for acquiring user click information of website Download PDFInfo
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- CN102591990A CN102591990A CN2012100150160A CN201210015016A CN102591990A CN 102591990 A CN102591990 A CN 102591990A CN 2012100150160 A CN2012100150160 A CN 2012100150160A CN 201210015016 A CN201210015016 A CN 201210015016A CN 102591990 A CN102591990 A CN 102591990A
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Abstract
The invention discloses a method for acquiring user click information of a website. The method comprises scanning log files of the website to acquire the user click data including the user ID (identity), click time and click links; segmenting the click data to click streams in the session process between the user and the website; and counting and analyzing the segmented click streams to calculate the final user click information, and storing the final use click information in a database; wherein the final user click information includes visitor count of each click stream, click frequency and average retention time. The invention also discloses a device for acquiring user click information of the website. According to the invention, a website operator can observe the click behavior of a user after entering the website so as to improve user experience of the website.
Description
Technical field
The present invention relates to mobile internet technical field, more particularly, relate to a kind of method and apparatus of the website user's of obtaining click information.
Background technology
Along with the continuous development of social informatization and network, website operation personnel usually need understand the user with website reciprocal process in the behavior that shows.
Existing technology mainly is each link for the website, the number of clicks of statistics of user's and isolated user number, thus draw the frequency that the user uses each function, and then infer that the user uses the behavior of website.
The limitation of this method is the click situation that counts each link that can only isolate, and can not reproduce the process that the user uses the website intuitively.Such as, this method can count the click volume of website homepage, is the click homepage repeatedly but can not answer the user, or the user has clicked other web page interlinkages and returns homepage.
Website operation personnel hope to have a kind of technology reappearing user click at any time process.Have in the website under the situation of mass user, check that each user's click logs is not only consuming time, require great effort, and can not reflect the overall condition of customer group, infeasible in practice.
Summary of the invention
In order to solve above technical matters, the invention provides a kind of method and apparatus of the website user's of obtaining click information.
The invention discloses a kind of method of the website user's of obtaining click information, comprising:
The journal file of scans web sites obtains user's click data, and described click data comprises ID, click time and clicking operation title;
With the clickstream data that described click data cutting is user and website conversation procedure, said click steam is the click sequence of user in the process of once using the website;
Clickstream data after the cutting is carried out statistical study, calculate final user's click information and be stored in the database, described final user's click information comprises the number of visiting people, number of clicks and the mean residence time of each clicking operation.
Preferably, the clickstream data after the cutting is carried out statistical study, calculate final user's click information and be based on user's click steam model, said user's click steam model is represented with tree-shaped; Corresponding one of each clicking operation is clicked the sequence node, and each clicks the corresponding one or more click steams of sequence node; Click sequence node links to each other with click sequence node and forms directed edge; Every directed edge is connecting a father and is clicking sequence node and a son click sequence node; Every corresponding probability in limit; Be illustrated in and clicked the father and click under the condition of sequence node, the user clicks the probability that corresponding child node is hit the sequence node.
Further, comprise that also calculating said user through number of clicks clicks the probability that corresponding child node links.
Preferred described click data cutting is that different user lands and then is divided into different click steams according to ID for the method for the click steam of user and website conversation procedure; If landing, same ID different time judges that then whether adjacent two clicked the mistiming above setting value, if surpass, then thinks a new click steam, the first click of a back clicking operation as new click steam.
Preferably; The number of visiting people statistical method of said each clicking operation is: each clicking operation is created a set of clicking number; When click steam is carried out statistical study; Add the active user ID that is analyzed to set the inside that corresponding clicking operation is clicked number, the size of set is exactly the number of visiting people of corresponding clicking operation.
A kind of device that obtains the method for website user's click information is used to realize said method, comprising:
The click data acquiring unit, the journal file of scans web sites obtains user's click data, and described click data comprises ID, click time and clicking operation title;
Click data cutting unit links to each other with described click data acquiring unit, is used for the clickstream data of described click data cutting for user and website conversation procedure, and said click steam is the click sequence of user in the process of once using the website;
Click steam Model Calculation unit; Link to each other with described click data cutting unit; Clickstream data after the cutting is carried out statistical study; Calculate final user's click information and be stored in the database, described final user's click information comprises the number of visiting people, number of clicks and the mean residence time of each clicking operation.
Preferably, click steam Model Calculation unit is based on user's click steam model, and said user's click steam model is represented with tree-shaped; Corresponding one of each clicking operation is clicked the sequence node, and each clicks the corresponding one or more click steams of sequence node; Click sequence node links to each other with click sequence node and forms directed edge; Every directed edge is connecting a father and is clicking sequence node and a son click sequence node; Every corresponding probability in limit; Be illustrated in and clicked the father and click under the condition of sequence node, the user clicks the probability that corresponding child node is hit the sequence node.
Further, click steam Model Calculation unit calculates the probability that the user clicks corresponding child node link through number of clicks.
Preferably, comprise also and click the mistiming judging unit that the adjacent click mistiming that is used to judge same user, if surpass, then being judged as was a new click steam, the first click of a back clicking operation as new click steam whether above setting value.
Preferably; The number of visiting people statistical method of each clicking operation is: each clicking operation is created a set of clicking number; When click steam is carried out statistical study; Add the active user ID that is analyzed to set the inside that corresponding clicking operation is clicked number, the size of set is exactly the number of visiting people of corresponding clicking operation.
A kind of method and apparatus that obtains website user's click information of embodiment of the present invention; Have following beneficial technical effects: operation personnel in website can observe click steam information such as the number, mean residence time of probability that the user gets into the web page interlinkage behind the website, click; Thereby better understand user's network behavior; In time find the interaction problems that the website exists, and then improve the website targetedly.
Description of drawings
Fig. 1 is the method flow diagram of a kind of website user's of obtaining click information of the embodiment of the invention;
Fig. 2 is the tree-shaped presentation graphs of user's click steam model of the embodiment of the invention;
Fig. 3 a is " modification subscriber data " the user's click steam hum pattern that obtains in the user's click steam model in the one embodiment of the invention;
Fig. 3 b is the page synoptic diagram of Fig. 3 a;
Fig. 4 a is " uploading image " user click steam hum pattern that obtains in the user's click steam model in the one embodiment of the invention;
Fig. 4 b is the page synoptic diagram of Fig. 4 a;
Fig. 5 is user's click steam model memory model figure of the present invention;
Fig. 6 is one one kinds of apparatus structure block schemes that obtain website user's click information of the embodiment of the invention.
Embodiment
By specifying technology contents of the present invention, structural attitude, realized purpose and effect, give explanation below in conjunction with embodiment and conjunction with figs. are detailed.
At first introduce the tree-shaped expression of user's click steam model of the present invention, and need the store model data.
Website user with the reciprocal process of website in can produce a web site url and click sequence according to time-sequencing, just the click sequence of user in the process of once using the website is called click steam.User's click steam model of the present invention representes that with one tree a plurality of click sequence nodes are arranged on this tree; Corresponding one of each clicking operation is clicked the sequence node, and each clicks the corresponding one or more click steams of sequence node; Click sequence node links to each other with click sequence node and forms directed edge; Every directed edge is connecting a father and is clicking sequence node and a son click sequence node; Every corresponding probability in limit; Be illustrated in and clicked the father and click under the condition of sequence node, the user clicks the probability that corresponding child node is hit the sequence node.As shown in Figure 2, a father clicks the sequence node can have many limits to point to a son click sequence node.Such as, in Fig. 2 of the present invention, node (" homepage "), the expression user has just brought into use the website, clicks the click steam of homepage; Node (" homepage ", " homepage ") expression user has at first clicked " homepage ", clicks the still click steam of " homepage " for second, and the probability that corresponding limit is represented is to click under the condition of " homepage " the user, clicks the still probability of " homepage " for second.Clicking operation of the present invention can be a link such as " homepage " link, also can be other a concrete operation, such as " uploading pictures ".
User's click steam model needs the probability on quick calculating chart 2 every limits.
Describe below and calculate the probability method that the user clicks corresponding child node link.Describe for ease, introduce several symbols.Make C1C2...Cn-1 represent one to comprise n-1 the click steam of clicking; The user has clicked under the condition of C1C2...Cn-1; The probability tables of clicking Cn is shown P (Cn|C1C2...Cn-1), and this is the probability that user's click steam model need calculate, i.e. the corresponding probability in the limit of Fig. 2.Make N (C1C2...Cn) that the number of times that sequence C 1C2...Cn clicks is clicked in expression, m is user's total number of clicks, is a constant.We have following mathematical derivation
P(Cn|C1C2...Cn-1)＝P(C1C2...Cn-1Cn)/P(C1C2...Cn-1)(1)
＝(N(C1C2...Cn-1Cn)/m)/(N(C1C2...Cn-1)/m)(2)
＝N(C1C2...Cn)/N(C1C2...Cn-1)(3)
Step (1) is launched with condition probability formula.(2) definition with probability launches.(3) cancellation constant m
The result who goes out from the derivation of equation can find out that final user only clicks need be the number of times of each click steam storage click, just can calculate the corresponding conditional probability in every limit of tree-shaped user's click steam model shown in Figure 2.Fig. 3, the next function of clicking probability of listing shown in Figure 4 has utilized this formula to calculate exactly.Obtained to click probability and can understand the user and login the not frequent functional module of use of the functional module the most often used this website and user, operation personnel can adjust info web according to these information real-time.
Except the probability that calculating linking is clicked, user's click steam model also need calculate click number and page mean residence time for each click steam corresponding nodes statistics.
For the statistics of the number of click, in user's click steam modelling process, set up a user's set, be used to get rid of the user who repeats to click.After the click of handling all users, calculate the number of set sizes as this click steam.
In order to add up page mean residence time, in family click steam modelling process, set up the counter that a page is clicked the mistiming for each click steam, be used to add up the residence time that second-to-last is clicked the page.Such as, what click steam C1C2...Cn-1Cn preserved is to click Cn-1 and the mistiming of clicking Cn, is used for estimating user in the residence time of the process of clicking C1C2...Cn-1Cn at the Cn-1 page.Statistical method is for each user's click steam, to accumulate the counter into relevant click steam to the time difference of last 2 clicks.After handling all and clicking, with the value of counter total number of clicks, just obtain equalization point and hit the mistiming, just average page residence time divided by this click steam.
The number of clicks that demonstrated as shown in Figure 5, click number, the counting statistics result of mean residence time.
Embodiment 1, about obtaining the step of website user's click information, sees also Fig. 1 and comprises:
S1. scan the journal file of user capture website, obtain each user's click data, described click data comprises ID, click time and clicking operation title.
S2. the clickstream data that is user and website conversation procedure with described click data cutting, said click steam is the click sequence of user in the process of once using the website.
Because the end of user and website session not necessarily has special sign, such as, the user possibly not click and withdraw from link, has directly closed browser, and after 5 hours open any browser use website once more.For handling this situation, the click steam method of differentiating sessions is to judge the mistiming of adjacent click, if surpassed the value that is provided with, then is identified as the click steam of a new session.For example, as shown in table 1, marked off 2 click steams according to user 10001 click data, corresponding to morning and evening twice use website conversation procedure, be two click steams.
Table 1
S3. the clickstream data after the cutting is carried out statistical study, calculate final user's click information and be stored in the database, described final user's click information comprises the number of visiting people, number of clicks and the mean residence time of each clicking operation.
The statistical of the number of clicks of each clicking operation is: create the counter of a number of clicks for each each clicking operation, when each click steam is analyzed, each clicking operation corresponding register is added 1.
Final user click data as shown in table 2 can be a table, and key assignments is the expression of click steam, and the data of storage comprise: number of clicks, number, mean residence time.Wherein mean residence time is the residence time that penult is clicked, such as, for the click steam of (" homepage ", " modification subscriber data "), mean residence time is meant the mean residence time of user in homepage.For the click steam that has only a click, do not preserve mean residence time.
Table 2
| Click steam is represented | Number of clicks | Number | Mean residence time |
| (" homepage ") | 1000000 | 100000 | NULL |
| (" homepage ", " the modification subscriber data) | 10000 | 1000 | 25 |
Storage implementation of the present invention has multiple choices, can use the key-value database, perhaps uses relational database, can select for use according to actual conditions.Present embodiment adopts the key-value database storing.
When realizing data storage with the key-value database, the method that counts final user's click steam model data is for each click steam, analyzes each and clicks prefix, the user's click steam model data shown in the updating form 2.The click steam C1C2...Cn that length is n, having comprised n prefix is respectively C1, C1C2 ..., C1C2...Cn.Such as, certain user's clickstream data is ((2011-06-06 07:55:06 " homepage "), (2011-06-06 07:55:08 " a modification personal information ")), 2 click steams that need to upgrade are (" homepages "), (" homepage ", " revised personal information ").Just each is clicked sequence node and has preserved the intermediate result statistics to each clicking operation in system, has comprised the number of clicks counter, the set of click number, page residence time counter.The method of upgrading the intermediate result data is: the renewal to number of clicks directly adds 1 at register; Add user id to click number set the inside; Accumulate the mistiming of last 2 clicks into page residence time counter.The intermediate result data can be stored in buffer memory, perhaps in other storeies.
After using all users' click steam renewal user click steam model data; The intermediate result data of each each click sequence node are calculated; And count net result as shown in Figure 2; Wherein with the size of the number of visiting people set as the number of visiting people, residence time of accumulation is obtained mean residence time divided by the total number of clicks of clicking the sequence node.
At last, be saved in final counting statistics data in user's click steam model database and go.In the embodiment of this user click steam model, adopted the database of key-value.The present embodiment click steam saves as key, and corresponding statistics saves as value.In order to reduce the size of key, utilized the page category features of limited, adopt the mode of page number is compressed.Such as representing " homepage ", 2 representatives " renewal personal information " with 1.(" homepage ", " renewal personal information ") just can be expressed as (1,2), saved storage space.
Embodiment 2, see also Fig. 6, and a kind of device that obtains website user's click information of the present invention is used to realize above-mentioned method, comprising: click data acquiring unit 10, click data cutting unit 20, click steam Model Calculation unit 30.
Click data acquiring unit 10 is used to scan the journal file of a plurality of user captures website, obtains the click data in each user's the journal file, and described click data comprises ID, click time and clicking operation title;
Click data cutting unit 20 deposits unit 10 in click data and links to each other, and is used for the clickstream data of described click data cutting for user and website conversation procedure, and said click steam is the click sequence of user in the process of once using the website;
Click steam Model Calculation unit 30; Link to each other with click data cutting unit 20; Clickstream data after the cutting is carried out statistical study; Calculate final user's click information and be stored in the database, described final user's click information comprises the number of visiting people, number of clicks and the mean residence time of each clicking operation.
Present embodiment click steam Model Calculation unit 30 is based on based on user's click steam model, and said user's click steam model is represented with tree-shaped; Corresponding one of each clicking operation is clicked the sequence node, and each clicks the corresponding one or more click steams of sequence node; Click sequence node links to each other with click sequence node and forms directed edge; Every directed edge is connecting a father and is clicking sequence node and a son click sequence node; Every corresponding probability in limit; Be illustrated in and clicked the father and click under the condition of sequence node, the user clicks the probability that corresponding child node is hit the sequence node.
The click steam Model Calculation unit 30 of present embodiment calculates the probability that said user clicks corresponding child node link through number of clicks.
Mistiming judging unit (not shown) is clicked in also comprising of present embodiment; Be used to judge whether same user's the adjacent click mistiming surpasses setting value; If surpass, then think a new click steam, of the first click of a back clicking operation as new click steam.
The statistical method of the number of visiting people of each click steam of present embodiment is: each clicking operation is created a set of clicking number; When click steam is carried out statistical study; Add the active user ID that is analyzed to set the inside that corresponding clicking operation is clicked number, the size of set is exactly the number of visiting people of corresponding clicking operation.
A kind of method, device that obtains website user's click information of the present invention; Has following beneficial technical effects: the method and apparatus of a kind of website user's of obtaining click information of the present invention; Click steam information such as the probability that makes operation personnel in website can observe the user to get into the web page interlinkage behind the website, the number of click, mean residence time; Thereby better understand user's network behavior, in time find the interaction problems that the website exists, and then improve the website targetedly.
Combine accompanying drawing that embodiments of the invention are described above; But the present invention is not limited to above-mentioned embodiment, and above-mentioned embodiment only is schematically, rather than restrictive; Those of ordinary skill in the art is under enlightenment of the present invention; Not breaking away under the scope situation that aim of the present invention and claim protect, also can make a lot of forms, these all belong within the protection of the present invention.
Claims (10)
1. a method of obtaining website user's click information is characterized in that, comprising:
The journal file of scans web sites obtains user's click data, and described click data comprises user I D, click time and clicking operation title;
With the clickstream data that described click data cutting is user and website conversation procedure, said click steam is the click sequence of user in the process of once using the website;
Clickstream data after the cutting is carried out statistical study, calculate final user's click information and be stored in the database, described final user's click information comprises the number of visiting people, number of clicks and the mean residence time of each clicking operation.
2. the method for obtaining website user's click information as claimed in claim 1; It is characterized in that; Clickstream data after the cutting is carried out statistical study, calculate final user's click information and be based on user's click steam model, said user's click steam model is represented with tree-shaped; Corresponding one of each clicking operation is clicked the sequence node, and each clicks the corresponding one or more click steams of sequence node; Click sequence node links to each other with click sequence node and forms directed edge; Every directed edge is connecting a father and is clicking sequence node and a son click sequence node; Every corresponding probability in limit; Be illustrated in and clicked the father and click under the condition of sequence node, the user clicks the probability that corresponding child node is hit the sequence node.
3. the method for obtaining website user's click information as claimed in claim 2 is characterized in that, also comprises through number of clicks calculating the probability that said user clicks corresponding child node link.
4. the method for obtaining website user's click information as claimed in claim 1 is characterized in that, described click data cutting is that different user lands and then is divided into different click steams according to ID for the method for the click steam of user and website conversation procedure; If landing, same ID different time judges that then whether adjacent two clicked the mistiming above setting value, if surpass, then thinks a new click steam, the first click of a back clicking operation as new click steam.
5. the method for obtaining website user's click information as claimed in claim 1; It is characterized in that; The number of visiting people statistical method of said each clicking operation is: each clicking operation is created a set of clicking number; When click steam is carried out statistical study, add the active user ID that is analyzed to set the inside that corresponding clicking operation is clicked number, the size of set is exactly the number of visiting people of corresponding clicking operation.
6. a device that obtains the method for website user's click information is used to realize the described method of claim 1, it is characterized in that, comprising:
The click data acquiring unit, the journal file of scans web sites obtains user's click data, and described click data comprises ID, click time and clicking operation title;
Car person's click data cutting unit links to each other with described click data acquiring unit, is used for the clickstream data of described click data cutting for user and website conversation procedure, and said click steam is the click sequence of user in the process of once using the website;
Click steam Model Calculation unit; Link to each other with described click data cutting unit; Clickstream data after the cutting is carried out statistical study; Calculate final user's click information and be stored in the database, described final user's click information comprises the number of visiting people, number of clicks and the mean residence time of each clicking operation.
7. the device that obtains the method for website user's click information as claimed in claim 6 is characterized in that, click steam Model Calculation unit is based on user's click steam model, and said user's click steam model is represented with tree-shaped; Corresponding one of each clicking operation is clicked the sequence node, and each clicks the corresponding one or more click steams of sequence node; Click sequence node links to each other with click sequence node and forms directed edge; Every directed edge is connecting a father and is clicking sequence node and a son click sequence node; Every corresponding probability in limit; Be illustrated in and clicked the father and click under the condition of sequence node, the user clicks the probability that corresponding child node is hit the sequence node.
8. the device that obtains the method for website user's click information as claimed in claim 7 is characterized in that, click steam Model Calculation unit calculates the probability that the user clicks corresponding child node link through number of clicks.
9. the device that obtains the method for website user's click information as claimed in claim 6; It is characterized in that; Comprise also and click the mistiming judging unit that whether the adjacent click mistiming that is used to judge same user is above setting value, if surpass; Then being judged as is a new click steam, the first click of a back clicking operation as new click steam.
10. the device that obtains the method for website user's click information as claimed in claim 6; It is characterized in that; The number of visiting people statistical method of each clicking operation is: each clicking operation is created a set of clicking number; When click steam is carried out statistical study, add the active user ID that is analyzed to set the inside that corresponding clicking operation is clicked number, the size of set is exactly the number of visiting people of corresponding clicking operation.
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