CN103166918B - A kind of data recommendation method and device - Google Patents
A kind of data recommendation method and device Download PDFInfo
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Abstract
This application discloses a kind of data recommendation method and device, in order to during user's website access, improve the accuracy of the data recommended to user, reach to reduce the expense of Website server, save the purpose of the process resource of Website server.Wherein, described data recommendation method, including: each for internet site accesses user, adds up this user data access information in specifying duration；The relatively data access information of any two user；And judge whether the data access information of these two users exists common data information；When judged result is for being, recommend the people having the same habits' data message in the data access information of the second user to first user, described people having the same habits' data message be the second user data access information in other data message in addition to described common data information.
Description
Technical field
The application relates to Internet technical field, particularly relates to a kind of data recommendation method and device.
Background technology
Along with the development of Internet technology, each internet site is provided which that mass data accesses for user,
In order to be managed mass data, internet site generally uses tree structure to store data, i.e.
Data are classified step by step.Such as, the data that certain reading website is provided a user with are in such a way
Classify: first-level class includes novel, poem, prose etc., and secondary classification (is said as a example by novel
Bright) including: historical military, science fiction are terrified, reasoning etc. of scouting, the three fraction apoplexy due to endogenous wind knot to each secondary classification
Fruit divides again, the like, till data cannot divide again.
For a user, if it is desired to obtain the data content needed, it is necessary to accurately know and oneself need to look into
The classification belonging to data content looked for, the layered directory provided according to internet site makes a look up step by step, as
Really user realizes determining the classification of the data content oneself required to look up.Such as, for the most clearly
For the website visiting user of target, if internet site cannot recommend data available information to this user,
User can only search in the mass data that internet site provides on a large scale, and searching oneself may sense
The data of interest, for oneself possible data interested, this user will attempt sending to Website server
Access request, but these data may not be the data that user finally needs, and this makes this user in data
In search procedure, repeatedly send access request to Website server, and Website server is also required to send out user
The access request each time sent responds, thus adds the expense of Website server, wastes website clothes
The process resource of business device.
In order to solve the problems referred to above, in prior art, the historical data that Website server accesses for user is entered
Row is analyzed, and based on the relatedness between the data self provided, recommends its number that may be interested to user
According to.Such as, during user last visit website, have accessed a certain novel under historical military subject matter, when user again
During this website of secondary access, Website server, according to the historical record of user, recommends historical military to inscribe to this user
Other novel under material, but this is only the relatedness between the data according to Website server storage, guesses
Surveying user may be interested in other novel of same subject matter, and does not considers being actually needed of user, thus reduces
The accuracy of data recommendation.Therefore, this data recommendation mode still there is problems in that user is searching
Before the data needed to it, repeatedly attempt accessing its data that may be interested, thus, add website
The expense of server, wastes the process resource of Website server.
Summary of the invention
The embodiment of the present application provides a kind of data recommendation method and device, in order at user's website access
During, improve the accuracy of the data recommended to user, reach to reduce the expense of Website server, joint
The about purpose of the process resource of Website server.
The embodiment of the present application provides a kind of data recommendation method, including:
The user accessing website for each, adds up this user data access information in specifying duration；
The relatively data access information of any two user；And
Judge whether the data access information of these two users exists common data information；
When judged result is for being, recommend the people having the same habits' number in the data access information of the second user to first user
It is believed that in the data access information that breath, described people having the same habits' data message are the second user except described common data information
Other data message in addition.
The embodiment of the present application provides a kind of data recommendation device, including:
Statistic unit, for accessing the user of website for each, adds up this user in specifying duration
Data access information；
Comparing unit, for comparing the data access information of any two user；
Whether judging unit, exist corporate data letter in the data access information judging these two users
Breath；
Recommendation unit, for when the judged result of described judging unit is for being, recommends second to first user
People having the same habits' data message in the data access information of user, described people having the same habits' data message is the data of the second user
Other data message in addition to described common data information in access information.
The data recommendation method of the embodiment of the present application offer and device, by comparing between any two user
Data access information, determines whether there is common data information between these two users, when determining this two use
When there is common information between family, then recommend in data access information each other except common number to these two users
It is believed that other data message beyond breath.So, when to user's recommending data, going through of user is i.e. considered
History data message, it is also contemplated that the individual needs information of user, thus, improve the accuracy of data recommendation,
Avoid the visit that user initiates to Website server owing to repeatedly attempting accessing its possible data interested
Ask request, thus, decrease the expense of Website server, save the process resource of Website server.
Other features and advantage will illustrate in the following description, and, partly from explanation
Book becomes apparent, or understands by implementing the application.The purpose of the application and other advantages can
Realize by structure specifically noted in the description write, claims and accompanying drawing and obtain
?.
Accompanying drawing explanation
Fig. 1 is in the embodiment of the present application, the implementing procedure schematic diagram of data recommendation method；
Fig. 2 is in the embodiment of the present application, the system architecture diagram of e-commerce website service system；
Fig. 3 is in the embodiment of the present application, when user A accesses e-commerce website, for the reality of its recommending data
Execute schematic flow sheet；
Fig. 4 is in the embodiment of the present application, and Website server is people having the same habits' data message that people having the same habits buyer recommends each other
Implementing procedure schematic diagram；
Fig. 5 is in the embodiment of the present application, when user C accesses Website server, to the recommendation of its recommending data
Schematic flow sheet；
Fig. 6 is in the embodiment of the present application, the structural representation of data recommendation device.
Detailed description of the invention
Below in conjunction with Figure of description, the preferred embodiment of the application is illustrated, it will be appreciated that this place
The preferred embodiment described is merely to illustrate and explains the application, is not used to limit the application, and not
In the case of conflict, the embodiment in the application and the feature in embodiment can be mutually combined.
As it is shown in figure 1, the implementing procedure schematic diagram of its data recommendation method provided for the embodiment of the present application,
Comprise the following steps:
S101, access user for each of internet site, add up this user specifying the number in duration
According to the information of access；
S102, compare the data access information of two users；
S103, judge whether the data access information of these two users exists common data information；
S104, when judged result is for being, recommend in the data access information of the second user to first user
People having the same habits' data message.
Wherein, people having the same habits' data message be the second user data access information in except described common data information with
Other outer data message.
Those of ordinary skill in the art understand, and the first user described in the embodiment of the present application and the second user are
Name relative to data recommendation, such as, for user A and user B, if according to user A
Data access information to user B recommend people having the same habits' data message, then user B is first user, user A
It is the second user；Whereas if recommend people having the same habits' data according to the data access information of user B to user A
Information, then user A is first user, and user B is the second user.
In being embodied as, after there is common data information in the data access information determining two users,
Second user is defined as the people having the same habits user of first user.It is preferred that the people having the same habits user of each user can be according to
The cycle preset is updated, and i.e. for any user, judges that this user uses with other according to the default cycle
Whether the data access information at family exists common data message, if it is, this other user be defined as
The people having the same habits user of this user.
When being embodied as, if the people having the same habits user of this user exists multiple, according to this user and each people having the same habits user
Between the quantity of common data information determine the priority of each people having the same habits user；And according to determining people having the same habits user's
The order of priority, is ranked up the people having the same habits' data message recommended to this user.
Such as, there is user B, user C and tri-people having the same habits users of user D, user A in user A simultaneously
Common data information AB is there is with user B1、AB2, there is common data information in user A and user C
AC1、AC2、AC3, there is common data information AD in user A and user D1、AD2、AD3、AD4,
Meanwhile, user B there is also other people having the same habits data message B, user C and there is also other people having the same habits data message C,
There is other people having the same habits data message D in user D, due to the common data information between user A and user D
At most, the common data information between user A and user C takes second place, being total between user A and user B
Minimum with data message, so, for user A, the priority of its people having the same habits user is that user D ＞ uses
Family C ＞ user B, therefore, to user A recommend people having the same habits' data message time, to people having the same habits' data message according to
Following manner is ranked up: D, C, B, if same people having the same habits user exists multiple people having the same habits' data message, such as,
There is D in user D1And D2Two people having the same habits' data messages, then can arbitrarily arrange, it is also possible to according in advance
If rule arrange, for example, it is possible to according to access D1And D2Time be ranked up.
It is preferred that before people having the same habits' data message in the data access information recommending from other users to user,
According to default rule, people having the same habits' data message can also be classified.Accessing certain reading website with user A is
Example, recommends the people having the same habits' data letter comprised in the data access information of user B at this reading website to user A
During breath, classifying people having the same habits' data message, such as, this people having the same habits' data message is historical military classification, or
Person is detective's reasoning classification.Thus so that user A can being actually needed in different classifications in conjunction with oneself
In select.
Especially, when being embodied as, after determining the people having the same habits user that user B is user A, also may be used
With the user profile to user A display user B, instruction user A judges according to the user profile of user B
Self is good friend the need of adding user B.Wherein, in order to prevent leak user B privacy, to
When user A shows the user profile of user B, the registered user name of user B can be hidden.The application is real
Executing in example, user profile can be, but not limited to include herein below: sex, the age, described region, constellation,
The data access information etc. of nearest one month so that user A determines whether according to the user profile of user B
Needing to add user B is good friend.If user A determines interpolation, user B is good friend, then the embodiment of the present application
The data recommendation method provided, it is also possible to including: the good friend receiving user A transmission adds request, this good friend
Add the ID carrying user B in request；Adding user corresponding to this ID is user A
Good friend；According to the default cycle to the data access information of user A recommendation user B.
Concrete, after user A with the addition of the good friend that user B is oneself, can be according to default week
Phase recommends the data access information of user B to user A so that user A is according to the data access of user B
Information determines that self is the need of accessing these data messages.
For the ease of understanding the application, below by e-commerce website as a example by user's recommending data, to this Shen
Please the implementation process of embodiment illustrate.E-commerce website mainly provides a user with commodity data, therefore,
E-business network stood in when user recommends people having the same habits' data message, and the commodity data of access is existed identical use
People having the same habits' data between family are recommended.
As in figure 2 it is shown, it is in the embodiment of the present application, the system architecture diagram of e-commerce website service system,
Including at least two user terminal 21, Website server 22, Website server 22 is by the Internet and user
Carrying out the mutual of data between terminal 21, user accesses Website server 22 by user terminal 21 and provides
Data.
During as it is shown on figure 3, it accesses e-commerce website for user A, for the flow chart of its recommending data,
Comprise the following steps:
S301, Website server are according to specifying duration, and statistics accesses e-commerce website within this time period
The data access information of user；
Concrete, Website server can access the user of e-commerce website for each, by its
Data access information within nearest one month is added up.Wherein, data access information can include this use
The commodity that family was bought in one month, the commodity collected and the commodity added to shopping cart, such as,
For user A, in nearest one month, it have purchased commodity C1, has collected commodity C2, C3,
And once commodity C4, C5, C6 and C7 are put into shopping cart, Website server is being added up
Time, C1, C2 ..., C7 are all defined as the data access information of user A.Especially, if used
Family A have purchased C1 twice in nearest one month, has collected C2 tri-times, then, when adding up, need
Commodity will carry out duplicate removal process, the most each commodity have only to add up once.
S302, for accessing any user of e-commerce website, compare the data of user A and this user
Access information；
For the ease of describing, below this user being referred to as user B, Website server can utilize preset algorithm
Relatively user A and the data access information of user B；
S303, judge whether the data access information of user A and user B exists common data information, as
Fruit is, performs step S304, if it does not, perform step S309；
Such as, for user A and user B, it is judged that the data access information of user A and the number of user B
Whether there is the part of coincidence, i.e. user A to buy according to access information, and collected or add in nearest one month
Enter in the commodity of shopping cart and whether bought in nearest one month with user B, collect or add shopping cart
There are at least one commodity overlapped in commodity, such as, user B also have purchased commodity in nearest one month
C1 or collected commodity C1 or added by commodity C1 in shopping cart, then judge user A and user
The data access information of B exists common data information, concrete, can be true according to the identification information of commodity
Determining user A and user B, to buy, collect or add the commodity of shopping cart the most identical.
S304, to user A recommend user B data access information in people having the same habits' data message；
Wherein, people having the same habits' data message be user B data access information in its in addition to common data information
Its data message, such as, the common data information between user A and user B is commodity C1, it is assumed that use
Other merchandise news that family B accesses is commodity D1With commodity D2, then for user A, itself and user
People having the same habits' data message of B is commodity D1With commodity D2, Website server is by commodity D1With commodity D2Recommend
To user A；And for user B, it is commodity C2, commodity with people having the same habits' data message of user A
C3 ... commodity C7, commodity C2, commodity C3 ..., commodity C7 are recommended use by Website server
Family B.
It is preferred that can also arrange when the quantity of user A and the common data information of user B exceedes default
During value, such as, arrange in the data access information of user A and user B, there is at least three commodity number
According to time identical, if user B is in nearest one month, buy/collection/add to shopping cart commodity C1, and purchase
Buy/collect/add to shopping cart commodity C4, and buy/collection/add to shopping cart commodity C6, it is defined as using
Family A recommends people having the same habits' data message of user B；Or, for each user accessing Website server
Data access information, remember this user and user A jointly buy/collect/commodity amount that adds to shopping cart is
T1, by buying in user A mono-month/collection/the commodity total quantity added to shopping cart is designated as T2, remembers T1/T2
For the access registration between this user and user A, recommend to access registration ranking to user A forward
People having the same habits' data message of user, for example, it is possible to by the access user of all Website servers, with user A
The people having the same habits' data message accessing the registration user that comes first 20 recommend user A.
S305, Website server to the user profile of user A display user B, instruction user A confirmation are
No need add user B be good friend；
Wherein, the user profile of user B can include its sex, region, the age, constellation and its
The information such as a nearest interior spending amount.Especially, Website server is showing user B to user A
User profile time, the registered user name of default hidden user B.
S306, Website server receive user A and add the interpolation request that user B is good friend, and this interpolation please
The ID of user B is carried in asking；
Concrete, the user profile of the user B that user A shows according to Website server, confirm to add and use
Family B is good friend, then submit to Website server and add the interpolation request that user B is good friend.
S307, Website server are according to adding the ID carried in request, and adding user B is user A
Good friend；
In being embodied as, user B can be allowed to arrange and whether to disclose oneself to the user that interpolation oneself is good friend
Registered user name, if user B is configured as, then user B is being added to user A by Website server
Good friend in after, to user A display user B registered user name, otherwise, Website server not to
The registered user name of user A display user B.
S308, according to the default cycle to user A recommend user B data access information；
Concrete, user A is after adding user B and being good friend, and Website server can be according to default
Cycle, such as every day recommend the data access information of user B to user A, buy every day including user B,
Collect and add the commodity data information to shopping cart.
S309, flow process terminate.
It is preferred that Website server when recommending people having the same habits' data message of user A to user B, it is also possible to
According to default rule, people having the same habits' data message is classified, and filter people having the same habits' data message of sensitivity.Meanwhile,
Website server can also to user B recommend user A people having the same habits' data message, concrete recommended flowsheet with
Website server is identical to people having the same habits' data message of user A recommendation user B, repeats no more here.User A
Being respectively people having the same habits user each other with user B, be achieved in that in the commodity data that people having the same habits user accesses is same
The information sharing between people having the same habits user of the good commodity.
In being embodied as, the people having the same habits user of user A can exist multiple, such as, in addition to user B,
There is also user B, user C and user D, in this case, Website server is being recommended to user A
During people having the same habits' data message of its people having the same habits user, according to user A respectively with user B, user C and user D
Between the quantity of common data information, user B, user C and user D are ranked up, i.e. preferentially to
User A shows the people having the same habits' data message that there is the most people having the same habits user of common data information with it.
Illustrate as a example by people having the same habits' data message that people having the same habits buyer recommends each other by Website server below, for
Example is easy to describe, and in the embodiment of the present application, pushes away to user A and user B with e-business network site server
Illustrate as a example by recommending people having the same habits' commodity each other.
As shown in Figure 4, it is the enforcement that people having the same habits buyer recommends people having the same habits' data message each other for Website server
Schematic flow sheet, comprises the following steps:
S401, respectively counting user A and user B access information at nearest one month interior commodity；
Concrete, be respectively directed to user A and user B add up its in nearest one month, collect, buy
Or the commodity added to shopping cart, for the ease of describing, hereinafter referred to as user A and user B accesses
The commodity crossed, it is assumed that the commodity that user A accessed include C1And C2, the commodity that user B accessed include
C2And C3。
S402, compare user A and user B commodity access information, determine between user A and user B
There is common data information C2；
S403, the commodity C accessed to user A recommendation user B3, recommend user A to access to user B
The commodity C1 crossed；
S404, Website server to the user profile of user A display user B, instruction user A confirmation are
No interpolation user B is good friend；Meanwhile, to the user profile of user B display user A, user B is indicated
It is confirmed whether that adding user A is good friend；
The confirmation that S405, Website server return according to user A and user B, adds user B
For the good friend of user A, and user A is added to the good friend of user B；
Concrete, Website server is after completing the operation of interpolation good friend, respectively to user A and user B
Show its good friend added；
To user A and user B, S406, Website server show that the commodity of its good friend access information respectively；
Concrete, the commodity of the good friend of user A and user B access information, access including its good friend
Commodity, especially, if its good friend comprises multiple, then exist with its good friend according to user A and user B
The quantity of common data information the commodity of its good friend accessed information be ranked up.
In being embodied as, whether user A and user B, after with the addition of each other for good friend, can be arranged
Disclose the registered user name of oneself to each other, and carry out the operations such as online exchange.
Especially, in the embodiment of the present application, if user is when specifying duration no data to access information, the most permissible
It is its recommending data according to following flow process:
Step 1, obtain the user profile of this user；
Concrete, user profile can include the sex of this user, region, age, constellation and be somebody's turn to do
The User IP etc. of user.
Step 2, user profile according to this user, determine the user similar to the user profile of this user；
Concrete, can be the most similar according to two user profile of following conditional judgment: according to the user of user
Information, it is judged that in user profile each other, if it is identical for there is at least one, or two user's letters
Age in breath belongs to same age bracket, i.e. the age difference of two users is within the scope of certain.
The data access information of the user that step 3, user profile of recommending to this user are similar.
Concrete, when the data access information of the user similar to user C recommendation user profile, it is also possible to
The user profile of the similar user of this user profile, such as, the sex of this user, place is shown to user C
The information such as region, constellation and this user spending amount in specifying duration, especially, Website server
Can hide the registered user name of the similar user of this user profile to user C, instruction user C confirmation is
No interpolation user D is the good friend of oneself, and after user C adds the good friend that user D is oneself, presses
According to the default cycle to the data access information of user C recommendation user D.
During as it is shown in figure 5, it accesses Website server for user C, show to the recommended flowsheet of its recommending data
It is intended to, including:
S501, the Website server counting user C data access information in specifying duration；
S502, Website server judge whether the data access information of user C is zero, if it is, perform step
Rapid S503, if it does not, perform step S506；
S503, the user profile of acquisition user C；
S504, user profile according to user C, determine the user similar to the user profile of user C,
It is assumed to be user D；
S505, the commodity accessed to user C recommendation user D, and perform step S509；
S506, compare user C and the data access information of any user accessing e-commerce website, false
It is set to user D；
S507, judge whether the data access information of user C and user D exists common data information, as
Fruit is, performs step S508, if it does not, perform step S513；
S508, to user C recommend user D data access information in people having the same habits' data message；
S509, Website server to the user profile of user C display user D, instruction user C confirmation are
No need add user D be good friend；
S510, Website server receive user C and add the interpolation request that user D is good friend, and this interpolation please
The ID of user D is carried in asking；
S511, Website server are according to adding the ID carried in request, and adding user D is user C
Good friend；
S512, according to the default cycle to user C recommend user D data access information；
S513, flow process terminate.
According to the embodiment of the present application provide data recommendation flow process, it is possible to realize by each user with it with handy
People having the same habits' data message between family is recommended each other, wherein, exists based on each user during the judgement of people having the same habits user
Specify in the data access information in duration and whether there is common data information, if it exists, then determine
Two users are people having the same habits user each other.The relation of people having the same habits user is not changeless, but according to user
Change specifying in duration the data accessed.User may also select whether to add these people having the same habits users
For the good friend of oneself, after people having the same habits user is added to good friend, Website server can be according to default week
Phase, periodically recommend the data access information of its good friend to this user.Corrosion, the number that the embodiment of the present application provides
According to recommending method, additionally it is possible to according to default rule, people having the same habits' data message is classified, thus according to difference
The data access information of classification so that the people having the same habits user of user is different, such as, same under dress ornament merchandise classification
Good user, or the people having the same habits user etc. under mother and baby's merchandise classification.
Based on same application design, the embodiment of the present application additionally provides a kind of data recommendation device, due to this
The principle that data recommendation device solves problem is similar to above-mentioned data recommendation method, therefore this data recommendation device
Enforcement may refer to the enforcement of above-mentioned data recommendation method, repeat no more in place of repetition.
As shown in Figure 6, the structural representation of its data recommendation device provided for the embodiment of the present application, including:
Statistic unit 601, for each the access user for internet site, adds up this user and is referring to
Data access information in timing is long；
Comparing unit 602, for comparing the data access information of any two user；
Whether judging unit 603, exist corporate data in the data access information judging these two users
Information；
Recommendation unit 604, for when the judged result of judging unit 603 is for being, recommends to first user
People having the same habits' data message in the data access information of the second user, this people having the same habits' data message is the number of the second user
According to other data message in addition to described common data information in access information.
It is preferred that data recommendation device, it is also possible to including:
First determines unit, for determining the people having the same habits user that the second user is first user；
Second determines unit, for when the people having the same habits user of first user exists multiple, according to first user with
Between each people having the same habits user, the quantity of common data information determines the priority of each people having the same habits user；
Sequencing unit, for determining that unit determines the priority orders of people having the same habits user according to second, will be to the
People having the same habits' data message that one user recommends is ranked up.
It is preferred that data recommendation device, it is also possible to including:
Taxon, for the people having the same habits' data in the data access information recommending the second user to first user
Before information, according to default rule, people having the same habits' data message is classified.
In being embodied as, data recommendation device can also include receiving unit and adding device, wherein:
Receiving unit, the good friend sent for receiving first user adds request, and this good friend adds in request and takes
ID with the second user；
Adding device, for adding the good friend that user is first user that this ID is corresponding；
Recommendation unit, is additionally operable to recommend the data of the second user to visit according to the default cycle to described first user
Ask information.
It is preferred that data recommendation device, it is also possible to including:
Display unit, before adding request the good friend receiving first user transmission, shows to first user
Show the user profile of the second user；
Indicating member, adding the second user is good friend to be used for indicating first user to be confirmed whether.
Those skilled in the art are it should be appreciated that embodiments herein can be provided as method, system or meter
Calculation machine program product.Therefore, the application can use complete hardware embodiment, complete software implementation or knot
The form of the embodiment in terms of conjunction software and hardware.And, the application can use and wherein wrap one or more
Computer-usable storage medium containing computer usable program code (include but not limited to disk memory,
CD-ROM, optical memory etc.) form of the upper computer program implemented.
The application is with reference to method, equipment (system) and the computer program product according to the embodiment of the present application
The flow chart of product and/or block diagram describe.It should be understood that can by computer program instructions flowchart and
/ or block diagram in each flow process and/or flow process in square frame and flow chart and/or block diagram and/
Or the combination of square frame.These computer program instructions can be provided to general purpose computer, special-purpose computer, embedding
The processor of formula datatron or other programmable data processing device is to produce a machine so that by calculating
The instruction that the processor of machine or other programmable data processing device performs produces for realizing at flow chart one
The device of the function specified in individual flow process or multiple flow process and/or one square frame of block diagram or multiple square frame.
These computer program instructions may be alternatively stored in and computer or the process of other programmable datas can be guided to set
In the standby computer-readable memory worked in a specific way so that be stored in this computer-readable memory
Instruction produce and include the manufacture of command device, this command device realizes in one flow process or multiple of flow chart
The function specified in flow process and/or one square frame of block diagram or multiple square frame.
These computer program instructions also can be loaded in computer or other programmable data processing device, makes
Sequence of operations step must be performed to produce computer implemented place on computer or other programmable devices
Reason, thus the instruction performed on computer or other programmable devices provides for realizing flow chart one
The step of the function specified in flow process or multiple flow process and/or one square frame of block diagram or multiple square frame.
Although having been described for the preferred embodiment of the application, but those skilled in the art once knowing base
This creativeness concept, then can make other change and amendment to these embodiments.So, appended right is wanted
Ask and be intended to be construed to include preferred embodiment and fall into all changes and the amendment of the application scope.
The data recommendation method of the embodiment of the present application offer and device, by comparing between any two user
Data access information, determines whether there is common data information between these two users, when determining this two use
When there is common information between family, then recommend in data access information each other except common number to these two users
It is believed that other data message beyond breath.So, when to user's recommending data, going through of user is i.e. considered
History data message, it is also contemplated that the individual needs information of user, thus, improve the accuracy of data recommendation,
Avoid the visit that user initiates to Website server owing to repeatedly attempting accessing its possible data interested
Ask request, thus, decrease the expense of Website server, save the process resource of Website server.
Obviously, those skilled in the art can carry out various change and modification without deviating from this Shen to the application
Spirit and scope please.So, if the application these amendment and modification belong to the application claim and
Within the scope of its equivalent technologies, then the application is also intended to comprise these change and modification.
Claims (6)
1. a data recommendation method, it is characterised in that including:
Each for internet site accesses user, adds up this user data in specifying duration and visits
Ask information；
The relatively data access information of two users；And
Judge whether the data access information of these two users exists common data information；
When judged result is for being, determine the people having the same habits user that the second user is first user；
If the people having the same habits user of described first user exists multiple, then according between first user and each people having the same habits user
The quantity of common data information determines the priority of each people having the same habits user；
According to determining the priority orders of people having the same habits user, the people having the same habits' data letter will recommended to described first user
Breath is ranked up, described people having the same habits' data message be the second user data access information in except described corporate data
Other data message beyond information；And
According to default rule, described people having the same habits' data message is classified；
The people having the same habits' data message in the data access information of the second user is recommended to first user.
2. the method for claim 1, it is characterised in that also include:
Receiving the good friend that described first user sends and add request, described good friend adds in request and carries
State the ID of the second user；
Add the good friend that user is described first user that described ID is corresponding；
According to the default cycle to the data access information of described first user described second user of recommendation.
3. method as claimed in claim 2, it is characterised in that receiving what described first user sent
Before good friend adds request, also include:
The user profile of described second user is shown to described first user；
Adding described second user is good friend to indicate described first user to be confirmed whether.
4. a data recommendation device, it is characterised in that including:
Statistic unit, for each the access user for internet site, adds up this user and is specifying
Data access information in duration；
Comparing unit, for comparing the data access information of any two user；
Whether judging unit, exist corporate data letter in the data access information judging these two users
Breath；
Recommendation unit, for when the judged result of described judging unit is for being, to first user recommendation the
People having the same habits' data message in the data access information of two users, described people having the same habits' data message is the second user's
Other data message in addition to described common data information in data access information；
First determines unit, for determining the people having the same habits user that described second user is described first user；
Second determines unit, for when the people having the same habits user of described first user exists multiple, according to first
Between user and each people having the same habits user, the quantity of common data information determines the priority of each people having the same habits user；
Sequencing unit, for determining that unit determines the priority orders of people having the same habits user according to described second,
The people having the same habits' data message recommended to described first user is ranked up；
Taxon, for the people having the same habits' number in the data access information recommending the second user to first user
Before it is believed that breath, according to default rule, described people having the same habits' data message is classified.
5. device as claimed in claim 4, it is characterised in that also include receiving unit and adding single
Unit, wherein:
Described reception unit, the good friend sent for receiving described first user adds request, described good friend
Add the ID carrying described second user in request；
Described adding device, is the good of described first user for adding user corresponding to described ID
Friend；
Described recommendation unit, is additionally operable to recommend described second to use according to the default cycle to described first user
The data access information at family.
6. device as claimed in claim 5, it is characterised in that also include:
Display unit, before adding request the good friend receiving the transmission of described first user, to described
First user shows the user profile of described second user；
Indicating member, adding described second user is good friend to be used for indicating described first user to be confirmed whether.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201110412977.0A CN103166918B (en) | 2011-12-12 | A kind of data recommendation method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201110412977.0A CN103166918B (en) | 2011-12-12 | A kind of data recommendation method and device |
Publications (2)
| Publication Number | Publication Date |
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| CN103166918A CN103166918A (en) | 2013-06-19 |
| CN103166918B true CN103166918B (en) | 2016-12-14 |
Family
ID=
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| CN101105795A (en) * | 2006-10-27 | 2008-01-16 | 北京搜神网络技术有限责任公司 | Network behavior based personalized recommendation method and system |
| CN101236563A (en) * | 2008-02-01 | 2008-08-06 | 刘峰 | Intelligent personalized service website constitution method |
| CN101916286A (en) * | 2010-08-23 | 2010-12-15 | 宇龙计算机通信科技(深圳)有限公司 | Information recommendation method and system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN101105795A (en) * | 2006-10-27 | 2008-01-16 | 北京搜神网络技术有限责任公司 | Network behavior based personalized recommendation method and system |
| CN101236563A (en) * | 2008-02-01 | 2008-08-06 | 刘峰 | Intelligent personalized service website constitution method |
| CN101916286A (en) * | 2010-08-23 | 2010-12-15 | 宇龙计算机通信科技(深圳)有限公司 | Information recommendation method and system |
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