CN106682111A - Data recommendation method and equipment thereof - Google Patents
Data recommendation method and equipment thereof Download PDFInfo
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- CN106682111A CN106682111A CN201611108885.2A CN201611108885A CN106682111A CN 106682111 A CN106682111 A CN 106682111A CN 201611108885 A CN201611108885 A CN 201611108885A CN 106682111 A CN106682111 A CN 106682111A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/40—Information retrieval; Database structures therefor; File system structures therefor of multimedia data, e.g. slideshows comprising image and additional audio data
- G06F16/43—Querying
- G06F16/435—Filtering based on additional data, e.g. user or group profiles
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Abstract
The embodiment of the invention discloses a data recommendation method and equipment thereof. The data recommendation method comprises the steps of obtaining the quantity of identifications of users who conduct playing operation on multimedia data at a first preset time; obtaining data attributes of the multimedia data, wherein the data attributes comprise data identifications and data quantity; setting a recommendation weighted value on the multimedia data based on the data quantity; generating a recommendation numerical value of the multimedia data according to the quantity of the identifications of the users and the recommendation weighted value; renewing the data identifications to a preset data recommendation set according to the recommendation numerical value and outputting the data recommendation set. Through the adoption of the data recommendation method and equipment thereof, the recommendation numerical value of the multimedia data can be generated and recommend by combining browsing popularity and data quantity, the accuracy of the recommended multimedia data is improved, and the recommendation effect of the multimedia data is guaranteed.
Description
Technical field
The present invention relates to Internet technical field, more particularly to a kind of data recommendation method and its equipment.
Background technology
Constantly developed and perfect with Internet technology, the terminal such as mobile phone and panel computer has become people's life
In an indispensable part, people can not only be communicated using these terminals, can also browse video, picture etc. many
Media data.
Existing multi-medium data often browses temperature to user's push in playing application according to each multi-medium data
The multi-medium data of recommendation, provides the user the reference of browsing data.However, because the data amount check of multi-medium data is different,
For example：The collection number of TV play is more, film collection number is less etc., causes the view rate of multi-medium data to there is larger difference, reduces
The accuracy of the multi-medium data recommended, have impact on the recommendation effect of multi-medium data.
The content of the invention
The embodiment of the present invention provides a kind of data recommendation method and its equipment, can combine and browse temperature and data amount check
Generate the recommendation numerical value of multi-medium data and recommended, lift the accuracy of recommended multi-medium data, it is ensured that multimedia
The recommendation effect of data.
Embodiment of the present invention first aspect provides a kind of data recommendation method, it may include：
Obtain the quantity of the ID for playing out operation in the first preset time period to multi-medium data；
The data attribute of the multi-medium data is obtained, the data attribute includes Data Identification and data amount check；
The multi-medium data is set based on the data amount check recommends weighted value；
Quantity and the recommendation weighted value according to the ID generate the recommendation numerical value of the multi-medium data；
The Data Identification is updated in default data recommendation set according to the recommendation numerical value, and exports the number
Gather according to recommendation.
Embodiment of the present invention second aspect provides a kind of data recommendation equipment, it may include：
Number obtainment unit, user's mark of operation is played out for obtaining to multi-medium data in the first preset time period
The quantity of knowledge；
Attribute acquiring unit, the data attribute for obtaining the multi-medium data, the data attribute includes data mark
Know and data amount check；
Weighted value acquiring unit, weighted value is recommended for being set to the multi-medium data based on the data amount check；
Numerical value acquiring unit, the multimedia is generated for the quantity according to the ID and the recommendation weighted value
The recommendation numerical value of data；
Set output unit, for the Data Identification to be updated into default data recommendation collection according to the recommendation numerical value
In conjunction, and export the data recommendation set.
In embodiments of the present invention, the use of operation is played out in the first preset time period to multi-medium data by obtaining
The quantity of family mark, and the recommendation weighted value generated according to the data amount check of multi-medium data is obtained, further generate many matchmakers
The recommendation numerical value of volume data, the Data Identification of multi-medium data finally be updated in data recommendation set according to recommendation numerical value
Row output.By obtaining the quantity and the data amount check of multi-medium data of the ID for playing out operation, realize finishing
Conjunction browses the recommendation numerical value of temperature and data amount check generation multi-medium data and is recommended, it is to avoid due to data amount check
The influence that difference is caused to the view rate of multi-medium data, effectively improves the accuracy of recommended multi-medium data, protects
The recommendation effect of multi-medium data is demonstrate,proved.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
The accompanying drawing to be used needed for having technology description is briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can be with
Other accompanying drawings are obtained according to these accompanying drawings.
Fig. 1 is a kind of schematic flow sheet of data recommendation method provided in an embodiment of the present invention；
Fig. 2 is the schematic flow sheet of another data recommendation method provided in an embodiment of the present invention；
Fig. 3 is a kind of structural representation of data recommendation equipment provided in an embodiment of the present invention；
Fig. 4 is the structural representation of numerical value acquiring unit provided in an embodiment of the present invention；
Fig. 5 is the structural representation of another data recommendation equipment provided in an embodiment of the present invention；
Fig. 6 is the structural representation of another data recommendation equipment provided in an embodiment of the present invention.
Specific embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.It is based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made
Embodiment, belongs to the scope of protection of the invention.
Data recommendation method provided in an embodiment of the present invention can apply to play multi-medium data many matchmakers in application
Volume data carries out the scene of data recommendation, for example：Data recommendation equipment is obtained to be entered in the first preset time period to multi-medium data
The quantity of the ID of row play operation, the data recommendation equipment obtains the data attribute of the multi-medium data, described
Data attribute includes Data Identification and data amount check, and the data recommendation equipment is based on the data amount check to the multimedia number
Recommend weighted value according to setting, the data recommendation equipment is according to the quantity of the ID and recommendation weighted value generation institute
The recommendation numerical value of multi-medium data is stated, be updated to for the Data Identification according to the recommendation numerical value pre- by the data recommendation equipment
If data recommendation set in, and export the scene of the data recommendation set etc..The user of operation is played out by obtaining
The quantity of mark and the data amount check of multi-medium data, realize combination and browse temperature and data amount check generation multimedia number
According to recommendation numerical value and recommended, it is to avoid due to the shadow that the difference of data amount check is caused to the view rate of multi-medium data
Ring, effectively improve the accuracy of recommended multi-medium data, it is ensured that the recommendation effect of multi-medium data.
The present embodiments relate to data recommendation equipment can be multi-medium data application background service equipment；It is described
Multi-medium data application can be including video playback application, playback of songs application, picture presentation application etc.；The multi-medium data
Video can be included (for example：TV play, film, animation), picture, song etc..
Below in conjunction with accompanying drawing 1 and accompanying drawing 2, data recommendation method provided in an embodiment of the present invention is described in detail.
Fig. 1 is referred to, to the embodiment of the invention provides a kind of schematic flow sheet of data recommendation method.As shown in figure 1,
The methods described of the embodiment of the present invention may comprise steps of S101- steps S105.
S101, obtains the quantity of the ID for playing out operation in the first preset time period to multi-medium data；
Specifically, data recommendation equipment obtains the user for playing out operation in the first preset time period to multi-medium data
The quantity of mark, it is to be understood that the client of the multi-medium data application that user can be by being installed on user terminal
Selecting the play operation to multi-medium data, the data recommendation equipment can count the play operation and for logging in
The ID of multi-medium data application is stated, to obtain being played out in first preset time period ID of operation
Quantity, the timing statisticses section that first preset time period can rule of thumb be set by background work personnel, for example：1 hour
Deng.
Further, the data recommendation equipment can obtain multi-medium data is played out in the first preset time period
The quantity of the first user mark of operation, and obtain behaviour is played out to the multi-medium data in first preset time period
The quantity of the second user mark of work, wherein, the first user is designated the ID for possessing the first play right, described
Second user is designated the ID for possessing the second play right, and first play right browses the multimedia to possess
The play right of the data content of data, second play right is possess the data slot for browsing the multi-medium data
, it is necessary to explanation, the data content is the complete content of the multi-medium data, the data slot can be with for play right
It is one section of content of film clips, brief introduction or the interception of the multi-medium data, for example：The film clips of film, picture brief introduction, song
First 1 minute snatch of song etc..Certainly, for some special multi-medium datas, for example：Background work personnel are to certain multimedia
The data content of data could be arranged to allow first user mark and second user mark to browse, then identified using second user
The client of login can also equally watch the multi-medium data.First play right of first user mark is not limited only to can be with
The data content of browsing multimedia data, its number that can equally include the browsing multimedia data that the second play right possesses
According to the authority of fragment.
S102, obtains the data attribute of the multi-medium data；
Specifically, the data recommendation equipment can obtain the data attribute of the multi-medium data, the data attribute
The Data Identification and data amount check of the multi-medium data can be included, the Data Identification can be the multi-medium data
Data name, for example：Movie name, TV play title etc., the data amount check can be for included in the multi-medium datas
Data content number, for example：Collection number, picture number of TV play etc..
S103, is set to the multi-medium data based on the data amount check and recommends weighted value；
Specifically, the data recommendation equipment can set advowson based on the data amount check to the multi-medium data
Weight values, further, the data recommendation equipment can determine that the data amount check is corresponding according to default recommendation weight rule
Recommend weighted value, and the recommendation weighted value is set to the multi-medium data equipment, the default recommendation weight rule can be with
For background work personnel rule of thumb and demand pre-set weight proportioning, the multimedia number more for data amount check
According to due to it, accounting is higher in all of multi-medium data, and coverage rate is wider, it is therefore desirable to set relatively low recommendation weight
Value, whereas for the less multi-medium data of data amount check, then is needed to set recommendation weighted value higher, and different numbers are balanced with this
According to the recommendation numerical value of the multi-medium data of number, for example：For TV play and film, because the collection number of TV play is more, therefore
The recommendation weighted value of TV play is lower than the recommendation weighted value of film.
S104, quantity and the recommendation weighted value according to the ID generate the recommendation number of the multi-medium data
Value；
Specifically, the data recommendation equipment can be calculated according to the quantity of the ID and the recommendation weighted value
The recommendation numerical value of the multi-medium data is generated, the recommendation numerical value is the number for multi-medium data recommend sequence
Value.
Further, the data recommendation equipment can obtain the first user mark in first preset time period
Quantity and the data amount check the first ratio, and obtain the number of the second user mark in first preset time period
Second ratio of amount and the data amount check, meanwhile, the data recommendation equipment is also based on where the multi-medium data
Page of data obtain the 3rd user for being converted to first user mark in first preset time period by second user mark
The quantity of mark.The data recommendation equipment can obtain the summation of the first ratio in the second preset time period, the second ratio
The summation of the quantity of summation and the 3rd ID, and summation, the summation of second ratio according to first ratio
And the summation of the quantity of the 3rd ID generates the recommendation condition value of the multi-medium data, wherein, described second
Preset time period includes the first preset time period described at least one, and second preset time period is specifically for representing into line number
Gather the time period for updating and exporting according to recommendation, for example：12 hours carry out recommendation renewal for multi-medium data etc..It is described
Data recommendation equipment can generate the recommendation number of the multi-medium data according to the recommendation weighted value and the recommendation condition value
Value.
, be updated to the Data Identification in default data recommendation set according to the recommendation numerical value, and export by S105
The data recommendation set；
Specifically, the data recommendation equipment can according to it is described recommendation numerical value the Data Identification is updated to it is default
In data recommendation set, it is to be understood that the data recommendation equipment can unite to current all of multi-medium data
Meter, and respective recommendation numerical value is calculated, specific statistics and calculation may refer to aforesaid way, not repeated herein,
The data recommendation equipment can be ranked up according to the height of recommendation numerical value to all of multi-medium data, it is preferred that choose
The multi-medium data of numerical value highest predetermined number is recommended to be updated in the data recommendation set, the data recommendation equipment can
To export the data recommendation set, further, the data recommendation set can be exported to the client.
In embodiments of the present invention, the use of operation is played out in the first preset time period to multi-medium data by obtaining
The quantity of family mark, and the recommendation weighted value generated according to the data amount check of multi-medium data is obtained, further generate many matchmakers
The recommendation numerical value of volume data, the Data Identification of multi-medium data finally be updated in data recommendation set according to recommendation numerical value
Row output.By obtaining the quantity and the data amount check of multi-medium data of the ID for playing out operation, realize finishing
Conjunction browses the recommendation numerical value of temperature and data amount check generation multi-medium data and is recommended, it is to avoid due to data amount check
The influence that difference is caused to the view rate of multi-medium data, effectively improves the accuracy of recommended multi-medium data, protects
The recommendation effect of multi-medium data is demonstrate,proved.
Fig. 2 is referred to, to the embodiment of the invention provides the schematic flow sheet of another data recommendation method.Such as Fig. 2 institutes
Show, the methods described of the embodiment of the present invention may comprise steps of S201- steps S209.
S201, obtains the quantity of the ID for playing out operation in the first preset time period to multi-medium data；
Specifically, data recommendation equipment obtains the user for playing out operation in the first preset time period to multi-medium data
The quantity of mark, it is to be understood that the client of the multi-medium data application that user can be by being installed on user terminal
Selecting the play operation to multi-medium data, the data recommendation equipment can count the play operation and for logging in
The ID of multi-medium data application is stated, to obtain being played out in first preset time period ID of operation
Quantity, the timing statisticses section that first preset time period can rule of thumb be set by background work personnel, for example：1 hour
Deng.
Further, the data recommendation equipment can obtain multi-medium data is played out in the first preset time period
The quantity of the first user mark of operation, and obtain behaviour is played out to the multi-medium data in first preset time period
The quantity of the second user mark of work, wherein, the first user is designated the ID for possessing the first play right, described
Second user is designated the ID for possessing the second play right, and first play right browses the multimedia to possess
The play right of the data content of data, second play right is possess the data slot for browsing the multi-medium data
, it is necessary to explanation, the data content is the complete content of the multi-medium data, the data slot can be with for play right
It is one section of content of film clips, brief introduction or the interception of the multi-medium data, for example：The film clips of film, picture brief introduction, song
First 1 minute snatch of song etc..Certainly, for some special multi-medium datas, for example：Background work personnel are to certain multimedia
The data content of data could be arranged to allow first user mark and second user mark to browse, then identified using second user
The client of login can also equally watch the multi-medium data.First play right of first user mark is not limited only to can be with
The data content of browsing multimedia data, its number that can equally include the browsing multimedia data that the second play right possesses
According to the authority of fragment.
S202, obtains the data attribute of the multi-medium data；
Specifically, the data recommendation equipment can obtain the data attribute of the multi-medium data, the data attribute
The Data Identification and data amount check of the multi-medium data can be included, the Data Identification can be the multi-medium data
Data name, for example：Movie name, TV play title etc., the data amount check can be for included in the multi-medium datas
Data content number, for example：Collection number, picture number of TV play etc..
S203, is set to the multi-medium data based on the data amount check and recommends weighted value；
Specifically, the data recommendation equipment can set advowson based on the data amount check to the multi-medium data
Weight values, further, the data recommendation equipment can determine that the data amount check is corresponding according to default recommendation weight rule
Recommend weighted value, and the recommendation weighted value is set to the multi-medium data equipment, the default recommendation weight rule can be with
For background work personnel rule of thumb and demand pre-set weight proportioning, the multimedia number more for data amount check
According to due to it, accounting is higher in all of multi-medium data, and coverage rate is wider, it is therefore desirable to set relatively low recommendation weight
Value, whereas for the less multi-medium data of data amount check, then is needed to set recommendation weighted value higher, and different numbers are balanced with this
According to the recommendation numerical value of the multi-medium data of number, for example：For TV play and film, because the collection number of TV play is more, therefore
The recommendation weighted value of TV play is lower than the recommendation weighted value of film.
S204, duplicate removal treatment is carried out to the ID；
Specifically, the data recommendation equipment can further to the use of the acquisition in first preset time period
Family mark carries out duplicate removal treatment, it is necessary to explanation, possible in first preset time period for same ID
In the presence of the multiple play operation to the multi-medium data, the data recommendation equipment can be processed by duplicate removal, only retain one
Secondary effective play operation, to ensure the validity of data recommendation.
S205, obtains the of the quantity of the first user mark and the data amount check in first preset time period
One ratio, and obtain the second ratio of the quantity of the second user mark and the data amount check in first preset time period
Value；
S206, is obtained in first preset time period based on the page of data where the multi-medium data and is used by second
Family mark is converted to the quantity of the 3rd ID of first user mark；
Specifically, the data recommendation equipment can obtain the first user mark in first preset time period
First ratio of quantity and the data amount check, and obtain the quantity of the second user mark in first preset time period
With the second ratio of the data amount check, meanwhile, the data recommendation equipment is also based on where the multi-medium data
Page of data obtains the 3rd user for being converted to first user mark by second user mark in first preset time period and marks
The quantity of knowledge, it is to be understood that in order to browse the data content of complete multi-medium data, can provide by for client
One ID is converted to the conversion page of second user mark, and specific conversion regime can be upgraded by mark, be supplemented with money
Mode is completed, it is to be understood that the client can detect whether to exist by the data where the multi-medium data
Page jump to conversion page operation, and by the conversion page successfully by first user identify be converted to second user
The event of mark, if in the presence of the 3rd user that ID is changed for being recorded as being guided by the multi-medium data marks
Know, the data recommendation equipment can count the quantity of such 3rd ID in first preset time period.
S207, obtains the summation of the first ratio, the summation of the second ratio and the 3rd user mark in the second preset time period
The summation of the quantity of knowledge, and summation according to first ratio, the summation of second ratio and the 3rd user mark
The summation of the quantity of knowledge generates the recommendation condition value of the multi-medium data；
Specifically, the data recommendation equipment can obtain the summation of the first ratio in the second preset time period, the second ratio
The summation of the quantity of the summation of value and the 3rd ID, and summation according to first ratio, second ratio
The summation of the quantity of summation and the 3rd ID generates the recommendation condition value of the multi-medium data, wherein, it is described
Second preset time period include the first preset time period described at least one, second preset time period specifically for represent into
The time period that row data recommendation set updates and exports, for example：12 hours carry out recommendation renewal for multi-medium data etc.,
The data recommendation equipment can obtain the first ratio of each first preset time period in second preset time period, the second ratio
The quantity of value and the 3rd ID, carrying out suing for peace respectively obtains the summation of the first ratio, second in the second preset time period
The summation of the quantity of the summation of ratio and the 3rd ID, and summation to the first ratio, the summation of the second ratio and
The summation of the quantity of the 3rd ID is sued for peace, and the recommendation condition value of the multi-medium data is generated to calculate.
S208, the recommendation numerical value of the multi-medium data is generated according to the recommendation weighted value and the recommendation condition value；
Specifically, the data recommendation equipment can be according to the recommendation weighted value and recommendation condition value generation
The recommendation numerical value of multi-medium data, it is preferred that the recommendation weighted value can be multiplied to obtain institute with the recommendation condition value
State the recommendation numerical value of multi-medium data.
, be updated to the Data Identification in default data recommendation set according to the recommendation numerical value, and export by S209
The data recommendation set；
Specifically, the data recommendation equipment can according to it is described recommendation numerical value the Data Identification is updated to it is default
In data recommendation set, it is to be understood that the data recommendation equipment can unite to current all of multi-medium data
Meter, and respective recommendation numerical value is calculated, specific statistics and calculation may refer to aforesaid way, not repeated herein,
The data recommendation equipment can be ranked up according to the height of recommendation numerical value to all of multi-medium data, it is preferred that choose
The multi-medium data of numerical value highest predetermined number is recommended to be updated in the data recommendation set, the data recommendation equipment can
To export the data recommendation set, further, the data recommendation set can be exported to the client.
In embodiments of the present invention, the use of operation is played out in the first preset time period to multi-medium data by obtaining
The quantity of family mark, and the recommendation weighted value generated according to the data amount check of multi-medium data is obtained, further generate many matchmakers
The recommendation numerical value of volume data, the Data Identification of multi-medium data finally be updated in data recommendation set according to recommendation numerical value
Row output.By obtaining the quantity and the data amount check of multi-medium data of the ID for playing out operation, realize finishing
Conjunction browses the recommendation numerical value of temperature and data amount check generation multi-medium data and is recommended, it is to avoid due to data amount check
The influence that difference is caused to the view rate of multi-medium data, effectively improves the accuracy of recommended multi-medium data, protects
The recommendation effect of multi-medium data is demonstrate,proved；Identified and second user mark difference by using by the first user in ID
As the correlated condition numerical value to multi-medium data, the recommendation validity of multi-medium data can be lifted；By using being shorter than the
First preset time period of two preset time periods is counted to each condition value of multi-medium data, can avoid any time
The multi-medium data reached the standard grade cannot be recommended in time, further ensure the recommendation effect of multi-medium data；By to user
Mark carries out duplicate removal treatment, it is ensured that the validity of data recommendation.
Below in conjunction with accompanying drawing 3- accompanying drawings 5, data recommendation equipment provided in an embodiment of the present invention is described in detail.Need
It is noted that the data recommendation equipment shown in accompanying drawing 3- accompanying drawings 5, the side for performing Fig. 1 of the present invention and embodiment illustrated in fig. 2
Method, for convenience of description, illustrate only the part related to the embodiment of the present invention, and particular technique details is not disclosed, refer to
Embodiment shown in Fig. 1 of the present invention and Fig. 2.
Fig. 3 is referred to, to the embodiment of the invention provides a kind of structural representation of data recommendation equipment.As shown in figure 3,
The data recommendation equipment 1 of the embodiment of the present invention can include：Number obtainment unit 11, attribute acquiring unit 12, weighted value
Acquiring unit 13, numerical value acquiring unit 14 and set output unit 15.
Number obtainment unit 11, the user of operation is played out for obtaining to multi-medium data in the first preset time period
The quantity of mark；
In implementing, the number obtainment unit 11 obtains multi-medium data is played out in the first preset time period
The quantity of the ID of operation, it is to be understood that user can be answered by the multi-medium data being installed on user terminal
Client is selected to the play operation of multi-medium data, the number obtainment unit 11 can count the play operation with
And for logging in the ID of the multi-medium data application, to obtain playing out operation in first preset time period
ID quantity, the timing statisticses that first preset time period can rule of thumb be set by background work personnel
Section, for example：1 hour etc..
Further, the number obtainment unit 11 can obtain multi-medium data is broadcast in the first preset time period
The quantity of the first user mark of operation is put, and is obtained and the multi-medium data is played out in first preset time period
The quantity of the second user mark of operation, wherein, the first user is designated the ID for possessing the first play right, institute
State second user and be designated the ID for possessing the second play right, first play right browses many matchmakers to possess
The play right of the data content of volume data, second play right is possess the data slot for browsing the multi-medium data
Play right, it is necessary to explanation, the data content is the complete content of the multi-medium data, and the data slot can
Be the multi-medium data film clips, brief introduction or interception one section of content, for example：The film clips of film, picture brief introduction, song
The snatch of song of first 1 minute etc..Certainly, for some special multi-medium datas, for example：Background work personnel are to certain many matchmaker
The data content of volume data could be arranged to allow first user mark and second user mark to browse, then using second user mark
Knowing the client for logging in can also equally watch the multi-medium data.First play right of first user mark is not limited only to can
With the data content of browsing multimedia data, it can equally include the browsing multimedia data that the second play right possesses
The authority of data slot.
Attribute acquiring unit 12, the data attribute for obtaining the multi-medium data；
In implementing, the attribute acquiring unit 12 can obtain the data attribute of the multi-medium data, the number
The Data Identification and data amount check of the multi-medium data can be included according to attribute, the Data Identification can be the multimedia
The data name of data, for example：Movie name, TV play title etc., the data amount check can be in the multi-medium datas
Comprising data content number, for example：Collection number, picture number of TV play etc..
Weighted value acquiring unit 13, weighted value is recommended for being set to the multi-medium data based on the data amount check；
In implementing, the weighted value acquiring unit 13 can be set based on the data amount check to the multi-medium data
Recommendation weighted value is put, further, the weighted value acquiring unit 13 can determine the number according to default recommendation weight rule
According to the corresponding recommendation weighted value of number, and the recommendation weighted value, the default recommendation are set to the multi-medium data equipment
Weight rule can be background work personnel rule of thumb and demand pre-set weight proportioning, it is more for data amount check
Multi-medium data, due to it, accounting is higher in all of multi-medium data, and coverage rate is wider, it is therefore desirable to set relatively low
Recommend weighted value, whereas for the less multi-medium data of data amount check, then need to set recommendation weighted value higher, it is flat with this
The recommendation numerical value of the multi-medium data of the different pieces of information number that weighs, for example：For TV play and film, due to TV play collection number compared with
It is many, therefore the recommendation weighted value of TV play is lower than the recommendation weighted value of film.
Numerical value acquiring unit 14, many matchmakers are generated for the quantity according to the ID and the recommendation weighted value
The recommendation numerical value of volume data；
In implementing, the numerical value acquiring unit 14 can be according to the quantity of the ID and the recommendation weight
Value calculates the recommendation numerical value of the generation multi-medium data, and the recommendation numerical value is for carrying out recommendation sequence to multi-medium data
Numerical value.
Further, the numerical value acquiring unit 14 can obtain the first user mark in first preset time period
First ratio of the quantity of knowledge and the data amount check, and obtain the second user mark in first preset time period
Second ratio of quantity and the data amount check, meanwhile, the numerical value acquiring unit 14 is also based on the multi-medium data
The page of data at place is obtained in first preset time period and is converted to the 3rd of first user mark the by second user mark
The quantity of ID.The numerical value acquiring unit 14 can obtain the summation of the first ratio, second in the second preset time period
The summation of the quantity of the summation of ratio and the 3rd ID, and summation, second ratio according to first ratio
Summation and the summation of quantity of the 3rd ID generate the recommendation condition value of the multi-medium data, wherein, institute
Stating the second preset time period includes the first preset time period described at least one, and second preset time period is specifically for representing
The time period that data recommendation set updates and exports is carried out, for example：12 hours carry out a recommendation for multi-medium data and update
Deng.The numerical value acquiring unit 14 can generate the multi-medium data according to the recommendation weighted value and the recommendation condition value
Recommendation numerical value.
Specifically, please also refer to Fig. 4, to the embodiment of the invention provides the structural representation of numerical value acquiring unit.Such as
Shown in Fig. 4, the numerical value acquiring unit 14 can include：
Ratio obtains subelement 141, the quantity for obtaining the first user mark in first preset time period
With the first ratio of the data amount check, and the quantity of second user mark and institute in first preset time period are obtained
State the second ratio of data amount check；
Quantity obtains subelement 142, pre- for obtaining described first based on the page of data where the multi-medium data
If the quantity of the 3rd ID of first user mark is converted in the time period by second user mark；
In implementing, the ratio obtains subelement 141 and can obtain described first in first preset time period
First ratio of the quantity of ID and the data amount check, and obtain the second user in first preset time period
Second ratio of the quantity of mark and the data amount check, meanwhile, the quantity obtains subelement 142 and can be based on many matchmakers
Page of data where volume data is obtained in first preset time period and is converted to first user mark by second user mark
The 3rd ID quantity, it is to be understood that in order to browse the data content of complete multi-medium data, can for visitor
Family end provides the conversion page that second user mark is converted to by first user mark, and specific conversion regime can be by mark
The mode such as upgrade, supplement with money is completed, it is to be understood that the client can detect whether exist by the multi-medium data
The page of data at place jumps to the operation of conversion page, and first user successfully is identified into conversion by the conversion page
It is the event of second user mark, if in the presence of being recorded as that ID is changed guided by the multi-medium data
3rd ID, the quantity obtains subelement 142 and can count such 3rd user mark in first preset time period
The quantity of knowledge.
Condition value generates subelement 143, for obtaining the summation of the first ratio in the second preset time period, the second ratio
The summation of the quantity of summation and the 3rd ID, and summation, the summation of second ratio according to first ratio
And the summation of the quantity of the 3rd ID generates the recommendation condition value of the multi-medium data；
In implementing, the condition value generation subelement 143 can obtain the first ratio in the second preset time period
The summation of the quantity of summation, the summation of the second ratio and the 3rd ID, and it is summation according to first ratio, described
The summation of the quantity of the summation of the second ratio and the 3rd ID generates the recommendation condition value of the multi-medium data,
Wherein, second preset time period includes the first preset time period described at least one, and second preset time period is specific
The time period that data recommendation set updates and exports is carried out for representing, for example：12 hours carry out multi-medium data
Recommend renewal etc., the condition value generation subelement 143 can obtain each first Preset Time in second preset time period
The quantity of first ratio, the second ratio and the 3rd ID of section, carries out suing for peace respectively obtaining in the second preset time period
The summation of the quantity of the summation of the first ratio, the summation of the second ratio and the 3rd ID, and summation to the first ratio,
The summation of the quantity of the summation of the second ratio and the 3rd ID is sued for peace, to calculate the generation multi-medium data
Recommend condition value.
Numerical value obtains subelement 144, for generating many matchmakers according to the recommendation weighted value and the recommendation condition value
The recommendation numerical value of volume data；
In implementing, the numerical value obtains subelement 144 can be according to recommendation weighted value and the recommendation condition
The recommendation numerical value of the value generation multi-medium data, it is preferred that can be by the recommendation weighted value and the recommendation condition value phase
It is multiplied by the recommendation numerical value for obtaining the multi-medium data.
Set output unit 15, for the Data Identification to be updated into default data recommendation according to the recommendation numerical value
In set, and export the data recommendation set；
In implementing, can be updated to for the Data Identification according to the recommendation numerical value by the set output unit 15
In default data recommendation set, it is to be understood that the set output unit 15 can be to current all of multimedia number
According to being counted, and respective recommendation numerical value is calculated, specific statistics and calculation may refer to aforesaid way, not enter herein
Row is repeated, and the set output unit 15 can be excellent according to recommending the height of numerical value to be ranked up all of multi-medium data
Choosing, choose and recommend the multi-medium data of numerical value highest predetermined number to be updated in the data recommendation set, the set
Output unit 15 can export the data recommendation set, further, can export to described the data recommendation set
Client.
In embodiments of the present invention, the use of operation is played out in the first preset time period to multi-medium data by obtaining
The quantity of family mark, and the recommendation weighted value generated according to the data amount check of multi-medium data is obtained, further generate many matchmakers
The recommendation numerical value of volume data, the Data Identification of multi-medium data finally be updated in data recommendation set according to recommendation numerical value
Row output.By obtaining the quantity and the data amount check of multi-medium data of the ID for playing out operation, realize finishing
Conjunction browses the recommendation numerical value of temperature and data amount check generation multi-medium data and is recommended, it is to avoid due to data amount check
The influence that difference is caused to the view rate of multi-medium data, effectively improves the accuracy of recommended multi-medium data, protects
The recommendation effect of multi-medium data is demonstrate,proved；Identified and second user mark difference by using by the first user in ID
As the correlated condition numerical value to multi-medium data, the recommendation validity of multi-medium data can be lifted；By using being shorter than the
First preset time period of two preset time periods is counted to each condition value of multi-medium data, can avoid any time
The multi-medium data reached the standard grade cannot be recommended in time, further ensure the recommendation effect of multi-medium data.
Fig. 5 is referred to, to the embodiment of the invention provides the structural representation of another data recommendation equipment.Such as Fig. 5 institutes
Show, the data recommendation equipment 1 of the embodiment of the present invention can include：Number obtainment unit 11, attribute acquiring unit 12, weight
Value acquiring unit 13, numerical value acquiring unit 14, set output unit 15 and mark processing unit 16；Wherein, number obtainment unit
11st, the structure of attribute acquiring unit 12, weighted value acquiring unit 13, numerical value acquiring unit 14 and set output unit 15 can join
The description of embodiment, is not repeated herein as shown in Figure 3.
Mark processing unit 16, for carrying out duplicate removal treatment to the ID；
In implementing, the mark processing unit 16 can further to the acquisition in first preset time period
The ID carries out duplicate removal treatment, it is necessary to illustrate, for same ID, in first preset time period
The multiple play operation to the multi-medium data is inside there may be, the mark processing unit 16 can be processed by duplicate removal,
Only retain once effective play operation, to ensure the validity of data recommendation.
In embodiments of the present invention, the use of operation is played out in the first preset time period to multi-medium data by obtaining
The quantity of family mark, and the recommendation weighted value generated according to the data amount check of multi-medium data is obtained, further generate many matchmakers
The recommendation numerical value of volume data, the Data Identification of multi-medium data finally be updated in data recommendation set according to recommendation numerical value
Row output.By obtaining the quantity and the data amount check of multi-medium data of the ID for playing out operation, realize finishing
Conjunction browses the recommendation numerical value of temperature and data amount check generation multi-medium data and is recommended, it is to avoid due to data amount check
The influence that difference is caused to the view rate of multi-medium data, effectively improves the accuracy of recommended multi-medium data, protects
The recommendation effect of multi-medium data is demonstrate,proved；Identified and second user mark difference by using by the first user in ID
As the correlated condition numerical value to multi-medium data, the recommendation validity of multi-medium data can be lifted；By using being shorter than the
First preset time period of two preset time periods is counted to each condition value of multi-medium data, can avoid any time
The multi-medium data reached the standard grade cannot be recommended in time, further ensure the recommendation effect of multi-medium data；By to user
Mark carries out duplicate removal treatment, it is ensured that the validity of data recommendation.
Fig. 6 is referred to, to the embodiment of the invention provides the structural representation of another data recommendation equipment.Such as Fig. 6 institutes
Show, the data recommendation equipment 1000 can include：At least one processor 1001, such as CPU, at least one network interface
1004, user interface 1003, memory 1005, at least one communication bus 1002.Wherein, communication bus 1002 is used to realize this
Connection communication between a little components.Wherein, user interface 1003 can include display screen (Display), keyboard (Keyboard),
Optional user interface 1003 can also include wireline interface, the wave point of standard.Network interface 1004 can optionally include
The wireline interface of standard, wave point (such as WI-FI interfaces).Memory 1005 can be high-speed RAM memory, it is also possible to right and wrong
Unstable memory (non-volatile memory), for example, at least one magnetic disk storage.Memory 1005 is optionally gone back
It can be at least one storage device for being located remotely from aforementioned processor 1001.As shown in fig. 6, being situated between as a kind of Computer Storage
Operating system, network communication module, Subscriber Interface Module SIM and data recommendation application journey can be included in the memory 1005 of matter
Sequence.
In the data recommendation equipment 1000 shown in Fig. 6, user interface 1003 is mainly used in providing the user connecing for input
Mouthful, obtain the data of user input；Network interface 1004 is mainly used in entering row data communication with user terminal；And processor 1001
Can be used for calling the data recommendation application program stored in memory 1005, and specifically perform following operation：
Obtain the quantity of the ID for playing out operation in the first preset time period to multi-medium data；
The data attribute of the multi-medium data is obtained, the data attribute includes Data Identification and data amount check；
The multi-medium data is set based on the data amount check recommends weighted value；
Quantity and the recommendation weighted value according to the ID generate the recommendation numerical value of the multi-medium data；
The Data Identification is updated in default data recommendation set according to the recommendation numerical value, and exports the number
Gather according to recommendation.
In one embodiment, the processor 1001 is performing to enter multi-medium data in the first preset time period of acquisition
It is specific to perform following operation during the quantity of the ID of row play operation：
Obtain the quantity of the first user mark for playing out operation in the first preset time period to multi-medium data；
Obtain the interior second user mark that operation is played out to the multi-medium data of first preset time period
Quantity；
Wherein, the first user is designated the ID for possessing the first play right, and the second user is designated
Possesses the ID of the second play right, first play right is possess the data content for browsing the multi-medium data
Play right, second play right is the play right for possessing the data slot for browsing the multi-medium data.
In one embodiment, the processor 1001 is set based on the data amount check in execution to the multi-medium data
It is specific to perform following operation when putting recommendation weighted value：
Determine the corresponding recommendation weighted value of the data amount check according to default recommendation weight rule, and to the multimedia number
According to the setting recommendation weighted value.
In one embodiment, the processor 1001 is performing quantity and the advowson according to the ID
It is specific to perform following operation when weight values generate the recommendation numerical value of the multi-medium data：
The quantity of the first user mark in first preset time period is obtained to compare with the first of the data amount check
Value, and obtain the second ratio of the quantity of the second user mark and the data amount check in first preset time period；
Obtained in first preset time period by second user mark based on the page of data where the multi-medium data
Knowledge is converted to the quantity of the 3rd ID of first user mark；
Obtain the number of the summation of the first ratio, the summation of the second ratio and the 3rd ID in the second preset time period
The summation of amount, and the summation, the summation of second ratio and the 3rd ID according to first ratio number
The summation of amount generates the recommendation condition value of the multi-medium data, and second preset time period is included first described at least one
Preset time period；
The recommendation numerical value of the multi-medium data is generated according to the recommendation weighted value and the recommendation condition value.
In one embodiment, the processor 1001 is performing quantity and the advowson according to the ID
Before weight values generate the recommendation numerical value of the multi-medium data, following operation is also performed：
Duplicate removal treatment is carried out to the ID.
In embodiments of the present invention, the use of operation is played out in the first preset time period to multi-medium data by obtaining
The quantity of family mark, and the recommendation weighted value generated according to the data amount check of multi-medium data is obtained, further generate many matchmakers
The recommendation numerical value of volume data, the Data Identification of multi-medium data finally be updated in data recommendation set according to recommendation numerical value
Row output.By obtaining the quantity and the data amount check of multi-medium data of the ID for playing out operation, realize finishing
Conjunction browses the recommendation numerical value of temperature and data amount check generation multi-medium data and is recommended, it is to avoid due to data amount check
The influence that difference is caused to the view rate of multi-medium data, effectively improves the accuracy of recommended multi-medium data, protects
The recommendation effect of multi-medium data is demonstrate,proved；Identified and second user mark difference by using by the first user in ID
As the correlated condition numerical value to multi-medium data, the recommendation validity of multi-medium data can be lifted；By using being shorter than the
First preset time period of two preset time periods is counted to each condition value of multi-medium data, can avoid any time
The multi-medium data reached the standard grade cannot be recommended in time, further ensure the recommendation effect of multi-medium data；By to user
Mark carries out duplicate removal treatment, it is ensured that the validity of data recommendation.
One of ordinary skill in the art will appreciate that all or part of flow in realizing above-described embodiment method, can be
The hardware of correlation is instructed to complete by computer program, described program can be stored in a computer read/write memory medium
In, the program is upon execution, it may include such as the flow of the embodiment of above-mentioned each method.Wherein, described storage medium can be magnetic
Dish, CD, read-only memory (Read-Only Memory, ROM) or random access memory (Random Access
Memory, RAM) etc..
Above disclosed is only present pre-ferred embodiments, can not limit the right model of the present invention with this certainly
Enclose, therefore the equivalent variations made according to the claims in the present invention, still belong to the scope that the present invention is covered.
Claims (10)
1. a kind of data recommendation method, it is characterised in that including：
Obtain the quantity of the ID for playing out operation in the first preset time period to multi-medium data；
The data attribute of the multi-medium data is obtained, the data attribute includes Data Identification and data amount check；
The multi-medium data is set based on the data amount check recommends weighted value；
Quantity and the recommendation weighted value according to the ID generate the recommendation numerical value of the multi-medium data；
The Data Identification is updated in default data recommendation set according to the recommendation numerical value, and exports the data and pushed away
Recommend set.
2. method according to claim 1, it is characterised in that to multi-medium data in the preset time period of the acquisition first
The quantity of the ID of operation is played out, including：
Obtain the quantity of the first user mark for playing out operation in the first preset time period to multi-medium data；
Obtain the quantity of the second user mark for playing out operation in first preset time period to the multi-medium data；
Wherein, the first user is designated the ID for possessing the first play right, and the second user is designated to be possessed
The ID of the second play right, first play right is possess broadcasting for the data content that browses the multi-medium data
Delegate power limit, second play right is the play right for possessing the data slot for browsing the multi-medium data.
3. method according to claim 2, it is characterised in that it is described based on the data amount check to the multi-medium data
Set and recommend weighted value, including：
Determine the corresponding recommendation weighted value of the data amount check according to default recommendation weight rule, and the multi-medium data is set
Put the recommendation weighted value.
4. method according to claim 2, it is characterised in that the quantity according to the ID and the recommendation
Weighted value generates the recommendation numerical value of the multi-medium data, including：
The first ratio of the quantity of first user mark and the data amount check in first preset time period is obtained, and
Obtain the second ratio of the quantity of the second user mark and the data amount check in first preset time period；
Obtained in first preset time period based on the page of data where the multi-medium data and turned by second user mark
It is changed to the quantity of the 3rd ID of first user mark；
Obtain the quantity of the summation of the first ratio, the summation of the second ratio and the 3rd ID in the second preset time period
Summation, and the quantity of summation, the summation of second ratio and the 3rd ID according to first ratio
Summation generates the recommendation condition value of the multi-medium data, and second preset time period is preset including described at least one first
Time period；
The recommendation numerical value of the multi-medium data is generated according to the recommendation weighted value and the recommendation condition value.
5. method according to claim 1, it is characterised in that the quantity according to the ID and the recommendation
Before weighted value generates the recommendation numerical value of the multi-medium data, also include：
Duplicate removal treatment is carried out to the ID.
6. a kind of data recommendation equipment, it is characterised in that including：
Number obtainment unit, the ID of operation is played out for obtaining to multi-medium data in the first preset time period
Quantity；
Attribute acquiring unit, the data attribute for obtaining the multi-medium data, the data attribute include Data Identification and
Data amount check；
Weighted value acquiring unit, weighted value is recommended for being set to the multi-medium data based on the data amount check；
Numerical value acquiring unit, the multi-medium data is generated for the quantity according to the ID and the recommendation weighted value
Recommendation numerical value；
Set output unit, for the Data Identification to be updated into default data recommendation set according to the recommendation numerical value
In, and export the data recommendation set.
7. equipment according to claim 6, it is characterised in that the number obtainment unit specifically for：
Obtain the quantity of the first user mark for playing out operation in the first preset time period to multi-medium data；
Obtain the quantity of the second user mark for playing out operation in first preset time period to the multi-medium data；
Wherein, the first user is designated the ID for possessing the first play right, and the second user is designated to be possessed
The ID of the second play right, first play right is possess broadcasting for the data content that browses the multi-medium data
Delegate power limit, second play right is the play right for possessing the data slot for browsing the multi-medium data.
8. equipment according to claim 7, it is characterised in that the weighted value acquiring unit according to default specifically for pushing away
Recommend weight rule and determine the corresponding recommendation weighted value of the data amount check, and the recommendation weight is set to the multi-medium data
Value.
9. equipment according to claim 7, it is characterised in that the numerical value acquiring unit includes：
Ratio obtains subelement, quantity and the number for obtaining the first user mark in first preset time period
According to the first ratio of number, and obtain the quantity and the data of the second user mark in first preset time period
The second several ratio；
Quantity obtains subelement, for obtaining first preset time period based on the page of data where the multi-medium data
The quantity of interior the 3rd ID that first user mark is converted to by second user mark；
Condition value generate subelement, for obtain the second preset time period in the summation of the first ratio, the summation of the second ratio with
And the 3rd ID quantity summation, and summation according to first ratio, the summation of second ratio and institute
The summation for stating the quantity of the 3rd ID generates the recommendation condition value of the multi-medium data, the second preset time period bag
Include the first preset time period described at least one；
Numerical value obtains subelement, for generating the multi-medium data according to the recommendation weighted value and the recommendation condition value
Recommend numerical value.
10. equipment according to claim 6, it is characterised in that also include：
Mark processing unit, for carrying out duplicate removal treatment to the ID.
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