CN107566858A - One kind recommends method, apparatus and electronic equipment - Google Patents
One kind recommends method, apparatus and electronic equipment Download PDFInfo
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- CN107566858A CN107566858A CN201710790153.4A CN201710790153A CN107566858A CN 107566858 A CN107566858 A CN 107566858A CN 201710790153 A CN201710790153 A CN 201710790153A CN 107566858 A CN107566858 A CN 107566858A
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Abstract
The embodiments of the invention provide one kind to recommend method, apparatus and electronic equipment, wherein, methods described includes：The first information that user's mark of user and user currently browse on first terminal on acquisition first terminal, first terminal are the terminal in Multi-screen interaction system；By presetting proposed algorithm, determine that user identifies the first recommending data that is corresponding, being associated with the first information；First recommending data is recommended into user corresponding to user's mark in second terminal, wherein, second terminal is the other-end associated in Multi-screen interaction system with first terminal.By recommendation method, apparatus provided in an embodiment of the present invention and electronic equipment, recommend while real-time response can be realized, lift recommendation effect.
Description
Technical field
The present invention relates to multimedia analysis technical field, recommends method, apparatus and electronic equipment more particularly to one kind.
Background technology
The rapid popularization of continuous development and the ecommerce of Internet technology so that the information of magnanimity is supplied to user to select
Select.But increasingly huge information content, largely add user and obtain effective information or oneself information interested
Complexity.
In order that user more quickly, simply gets effective information or oneself information interested.Prior art
The method of middle use is, according to the Characteristic of Interest of user and history buying behavior, when user currently browses or bought, to user
Recommended user's information interested and commodity.For example, the custom of webpage, the custom for watching video etc., analysis are browsed according to user
Historical viewings hobby, the history of user watches interest etc., and watches interest etc. according to the historical viewings of user hobby, history,
When user currently browses, the related information of user is recommended.
However, inventor has found that at least there are the following problems for prior art during the present invention is realized：
Recommendation method of the prior art, it is history usage behavior or operation behavior according to user so that recommending
During, it is necessary to the history usage behavior of user be obtained or operation behavior is analyzed and processed, to the current operation row of user
For or the feedback of usage behavior have a delay, and then make it that recommendation effect is bad.
The content of the invention
The purpose of the embodiment of the present invention is to provide a kind of recommendation method, apparatus and electronic equipment, to realize real-time response
Ground is recommended, and lifts recommendation effect.Concrete technical scheme is as follows：
In a first aspect, the embodiments of the invention provide a kind of recommendation method, including：
Obtain user's mark of user on first terminal and the user currently browses on the first terminal the
One information, the first terminal are the terminal in Multi-screen interaction system；
By presetting proposed algorithm, determine that the user identifies the first recommendation that is corresponding, being associated with the first information
Data；
First recommending data is recommended into the user corresponding to user's mark in second terminal, wherein, institute
The other-end for stating second terminal to associate with the first terminal in the Multi-screen interaction system.
Optionally, in first recommending data for determining that user's mark is corresponding, being associated with the first information
Before, methods described also includes：
Determine the type of the second terminal；
First recommending data for determining that user's mark is corresponding, being associated with the first information, including：
For the type of the second terminal, determine corresponding to user's mark, associated with the first information and
With first recommending data of the type matching of the second terminal.
Optionally, it is described that first recommending data is recommended into the use corresponding to user's mark in second terminal
Family, including：
Receive the access request for carrying user's mark that the second terminal is sent；
According to the access identities carried in the access request, from content module, user described in matched and searched marks
First recommending data corresponding to knowledge, the content module include user's mark and the corresponding relation of the first recommending data；
The user first recommending data being sent in the second terminal.
Optionally, the user's mark for obtaining user on first terminal and the user are currently whole described first
The first information browsed on end, including：
What user's mark of user and the user watched on the television equipment on acquisition television equipment regards online
Frequency evidence；
It is described by presetting proposed algorithm, determine corresponding to user mark, associated with the first information first
Recommending data, including：
By the default proposed algorithm, determine that user's mark is corresponding, with the Online Video data correlation
Commending contents data；
It is described that first recommending data is recommended into the user, bag corresponding to user's mark in second terminal
Include：
By the commending contents data recommendation to the user, the movement corresponding to user's mark on mobile terminal
Terminal and the terminal that the television equipment is in the Multi-screen interaction system.
Optionally, it is described by presetting proposed algorithm, determine to associate corresponding to user's mark, with the first information
The first recommending data, including：
Calculate and occur weight highest keyword in the first information, and using the keyword as the first information
Information characteristics；
Search from the database for including recommending data prestored and believe with described information characteristic similarity highest
Breath；
Determine the similarity highest information for the user mark corresponding to, associated with the first information first
Recommending data.
Second aspect, the embodiments of the invention provide a kind of recommendation apparatus, including：
Acquisition module, the user for obtaining user on first terminal identifies and the user is currently described first
The first information browsed in terminal, the first terminal are the terminal in Multi-screen interaction system；
First determining module, for by presetting proposed algorithm, determining to believe corresponding to user's mark, with described first
Cease the first recommending data of association；
Recommending module, it is described corresponding to user mark for first recommending data to be recommended in second terminal
User, wherein, the second terminal is the other-end associated in the Multi-screen interaction system with the first terminal.
Optionally, described device also includes：
Second determining module, for determining the type of the second terminal；
First determining module, specifically for the type for the second terminal, it is corresponding to determine that the user identifies
, first recommending data associated with the first information and with the type matching of the second terminal.
Optionally, the recommending module includes：
Receiving submodule, the access request of the carrying user's mark sent for receiving the second terminal；
Matched sub-block, for according to the access identities carried in the access request, from content module, matching
First recommending data corresponding to user's mark is searched, the content module includes user's mark and recommends number with first
According to corresponding relation；
Recommend submodule, for the user first recommending data being sent in the second terminal.
Optionally, the acquisition module, specifically for the user's mark for obtaining user on television equipment and the user
The Online Video data watched on the television equipment；
First determining module, specifically for by the default proposed algorithm, determining corresponding to user's mark,
With the commending contents data of the Online Video data correlation；
The recommending module, specifically for by the commending contents data recommendation to user mark pair on mobile terminal
The user answered, the mobile terminal and the terminal that the television equipment is in the Multi-screen interaction system.
Optionally, first determining module, including：
Calculating sub module, there is weight highest keyword for calculating in the first information, and by the keyword
Information characteristics as the first information；
Submodule is searched, for being searched and described information feature from the database for including recommending data prestored
Similarity highest information；
Determination sub-module, for determine the similarity highest information for corresponding to user mark, with described the
First recommending data of one information association.
The third aspect, the embodiments of the invention provide a kind of electronic equipment, including processor, communication interface, memory and
Communication bus, wherein, processor, communication interface, memory completes mutual communication by communication bus；
Memory, for depositing computer program；
Processor, during for performing the program deposited on memory, realize the method and step described in first aspect.
At the another aspect that the present invention is implemented, a kind of computer-readable recording medium is additionally provided, it is described computer-readable
Instruction is stored with storage medium, when run on a computer so that computer performs the side described in above-mentioned first aspect
Method step.
At the another aspect that the present invention is implemented, the embodiment of the present invention additionally provides a kind of computer program production comprising instruction
Product, when run on a computer so that computer performs the method and step described in above-mentioned first aspect.
Recommendation method, apparatus provided in an embodiment of the present invention and electronic equipment, make full use of multiple in Multi-screen interaction system
The characteristics of terminal is interrelated, the information that can be currently browsed in a terminal according to user is user in another terminal
On the content that currently browses recommended, be compared to and pushed away according to browse current to user of the information that user's history browses
Recommend, the information that user currently browses can be fed back in real time, improve the effect of recommendation.Pushed away at the same time it can also improve
The correlation and accuracy recommended.In addition, solving in existing recommendation method can only be recommended in a terminal and make recommendation
Application scenarios it is single the problem of, recommendation method provided in an embodiment of the present invention cause recommend apply scene more diversification.
Certainly, any product or method for implementing the present invention must be not necessarily required to reach all the above advantage simultaneously.
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
There is the required accompanying drawing used in technology description to be briefly described.
Fig. 1 is a kind of flow chart of recommendation method provided in an embodiment of the present invention；
Fig. 2 is the flow chart of determination recommending data provided in an embodiment of the present invention；
Fig. 3 is the flow chart of recommendation process provided in an embodiment of the present invention；
Fig. 4 is schematic diagram of a scenario provided in an embodiment of the present invention；
Fig. 5 is another flow chart of recommendation method provided in an embodiment of the present invention；
Fig. 6 is the structural representation of recommendation apparatus provided in an embodiment of the present invention；
Fig. 7 is the structural representation of electronic equipment provided in an embodiment of the present invention.
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 described.
In order to allow users to that itself information interested is more quickly and easily got from the information of magnanimity, to
The mode that user recommends is applied more and more widely, such as news recommendation, book recommendation, music recommendation, film recommendation, friend
Friend's recommendation etc..Wherein, a kind of important mode is：According to the historical viewings behavior of user or operation behavior, recommend to user
The possible information interested of user, for example, according to the buying habit of user, the article that may like to user recommended user etc..
, could be to user but existing this mode is, it is necessary to obtain historical viewings behavior or the operation behavior of user
It is current browse or operate recommended so that can not currently browsing or operating and make feedback to user in time.And
And with the continuous development of intellectual technology, the application scenarios that multiple terminals interact are applied more and more widely, example
Such as, user plays mobile phone while TV is watched；And under this application scenarios, multiple terminals carry out interaction in real time, it is necessary to
Operation in each terminal or browse is fed back in time, and mode of the prior art can not then meet to require.
In order in the application scenarios of multiple terminal real-time, interactives, can to user it is current browse or operate carry out and
When feed back, respond, the embodiments of the invention provide a kind of recommendation method.In recommendation method provided in an embodiment of the present invention,
Can according to navigation patterns of the user in a terminal or operation behavior etc., to user's browsing in another terminal or
Recommendation is made in person's operation etc..So that can be fed back in real time to the information that user currently browses, recommendation is improved
Effect.At the same time it can also improve the correlation of recommendation and accuracy, and make the application scenarios more diversification of recommendation.
The embodiments of the invention provide a kind of recommendation method, as shown in figure 1, including：
Step 101, obtain user's mark of user on first terminal and user currently browses on first terminal the
One information, first terminal are the terminal in Multi-screen interaction system.
Recommendation method provided in an embodiment of the present invention can apply to server etc..
Multi-screen interactive, refer to based on connection and host-host protocol, for example, DLNA (Difital Living Network
Alliance, DLNA) agreement or IGRS protocol；In different terminal equipment such as mobile phone, tablet personal computer, TV etc.
Between, carry out the sequence of operations such as the transmission of multimedia (audio, video, picture) content, parsing, displaying, control so that can be with
Shared displaying content, the multimedia for enriching user are lived simultaneously on different terminals.
First terminal is the terminal in Multi-screen interaction system, can be television equipment, mobile phone etc..Wrapped in Multi-screen interaction system
Multiple terminal real-time, interactives including first terminal are included, and user can simultaneously browse, the content shown is watched in multiple terminals.
Server obtains user's mark of user on first terminal, when user mark can include user login services device
Username and password etc..Specifically, server is connected with first terminal, and then first terminal and server communication.First eventually
End is identified to send to server using user and asked, and is obtained from server and is browsed information, such server is receiving first
User's mark of first terminal can be got after the request that terminal is sent, and can determine that first terminal obtains from server
What is taken browses information, i.e., the first information that user currently browses on first terminal.
Step 102, by presetting proposed algorithm, the first recommendation for determine that user's mark is corresponding, associating with the first information
Data.
It is the first information currently browsed on first terminal according to user in the embodiment of the present invention, thus it is speculated that going out user may
Thing interested.Default proposed algorithm can be content-based recommendation algorithm, Collaborative Filtering Recommendation Algorithm, Knowledge based engineering
Proposed algorithm and proposed algorithm based on correlation rule etc..
The theoretical foundation of content-based recommendation algorithm mostlys come from information retrieval and information filtering.Mainly from two
Aspect describes content-based recommendation algorithm：Didactic algorithm and the algorithm based on model.Didactic algorithm is exactly to use
Family by virtue of experience defines the calculation formula of correlation, and then the result of calculation further according to formula and actual result are verified,
Then modification formula is or else broken to reach final purpose.And the algorithm for model is exactly as data according to conventional data
Then collection, learns a model as data set according to the first information according to this data set in embodiments of the present invention.
The first information browsed according to user on first terminal, determine calculation formula or model, and then the calculating by determining
Formula or model calculate recommending data.Specifically, as shown in Fig. 2 including：
Step 201, calculate in the first information and weight highest keyword, and the letter using keyword as the first information occur
Cease feature.
Step 202, searched and information characteristics similarity highest from the database for including recommending data prestored
Information.
Step 203, determine that similarity highest information identifies the first recommendation that is corresponding, being associated with the first information for user
Data.
The process of recommending data is determined in the embodiment of the present invention, can be by regarding keyword as information characteristics, and pass through
Similarity between information characteristics determines the first recommending data, so can quickly, easily determine recommending data, and then make
Can quickly, easily complete recommendation process.
Proposed algorithm based on correlation rule, mainly excavate the relevance between different information.In the embodiment of the present invention,
By excavating the information in magnanimity information, related to the first information that user currently browses on first terminal, and for first
The related information of information is scored, and scoring highest information is defined as into the first recommending data.
Step 103, the first recommending data is recommended into user corresponding to user's mark in second terminal, wherein, second eventually
Hold the other-end to be associated in Multi-screen interaction system with first terminal.
After determining the first recommending data, you can so that first recommending data is recommended into user.Specifically, server
The first recommending data can be identified according to user on one's own initiative, sent to user corresponding to the user mark in second terminal；
Or the recommending data determined is preserved the content module to server by server, user is carried receiving second terminal
During the access request of mark, the first recommending data is sent to second terminal, so as to be received using the user of second terminal
The first recommending data that server is recommended.By recommendation method provided in an embodiment of the present invention, can utilize more in multi-screen interactive
The characteristics of individual terminal real-time, interactive, the information currently browsed in a terminal according to user is user in another terminal
The content currently browsed is recommended.Allow in real time feed back the information that user currently browses, realize and ring in real time
Answer ground to recommend, lift recommendation effect, improve the correlation and accuracy of recommendation.And it can be pushed away among different terminals
Recommend so that the more diversification of the application scenarios of recommendation.Meanwhile utilize the application scenarios of multi-screen interactive so that recommendation effect can be with
Immediately shown in different terminals, expanded the dimension recommended, recommendation effect shows opportunity.
In a kind of optional embodiment of the present invention, it is corresponding that the first recommending data is recommended into user's mark in second terminal
User, as shown in figure 3, including：
Step 301, the access request for carrying user's mark that second terminal is sent is received.
Terminal and server communication, server can provide a user video data, content-data etc..Specifically, second
Terminal carries user and identified to server transmission access request, to obtain video data, content-data etc..Server is receiving
After the access request that second terminal is sent, information of second terminal request etc. is sent to second terminal for access request.
Step 302, according to the access identities carried in access request, from content module, matched and searched user mark pair
The first recommending data answered, content module include user's mark and the corresponding relation of the first recommending data.
Content module is the module in server, is interacted for preserving the first recommending data, and with second terminal, to
Second terminal sends the first recommending data.In content module, it can be preserved respectively for difference according to the access identities of user
The recommending data of user.Server is in the first information currently browsed according to first terminal, after determining the first recommending data,
First recommending data is preserved into content module, in this way, after server receives the access request of second terminal transmission, parsing
The access request, user's mark of active user is determined, is so identified according to user, from content module, matched and searched user
First recommending data corresponding to mark.
Step 303, the user the first recommending data being sent in second terminal.
So realize and the first recommending data is recommended into user.
Can so realize, the information currently browsed in a terminal according to user, be user in another terminal
The content currently browsed is recommended.Allow in real time feed back the information that user currently browses, realize and ring in real time
Answer ground to recommend, lift recommendation effect, improve the correlation and accuracy of recommendation.And it can be pushed away among different terminals
Recommend so that the more diversification of the application scenarios of recommendation.
Understandable to be, multiple terminals of Multi-screen interaction system can be different types, for example, it may be being usually used in
Watch the television equipment of video, be usually used in playing stereo set of music etc..As can be seen that the function of different types of terminal it
Between have differences, user is in the majority to watch Online Video data on television equipment, browses information class, commodity on the mobile apparatus
Category information etc..
, can be it is determined that user in order to improve Consumer's Experience, and the effect that further lifting is recommended in the embodiment of the present invention
Before the first recommending data that mark is corresponding, is associated with the first information, the type of second terminal is determined；Then for second eventually
The type at end, determine that the first of corresponding, being associated with the first information and with second terminal the type matching of user's mark is recommended
Data.For example, when second terminal is television equipment, the video data in information is chosen as recommending data；Work as second terminal
It is arrangement for reading, chooses text information in information etc. and be used as recommending data, can so recommend the use using second terminal
Family, the information to match with second terminal, the dimension of recommendation is improved, lifts Consumer's Experience.
In daily life, a kind of common scene.User is while TV is seen, it is often necessary to related with some are completed
Operation, for example understand the background knowledge of things, popular science knowledge, the related data of performer, buy clothes, the electricity occurred in program
Device, articles for daily use etc..In such a scenario, the content that user watches on television equipment, use can be reflected to a certain extent
The preference tendency at family, it is possible to referred to the content that user watches on television equipment as recommendation.Under this scene, first
Terminal can be television equipment, and second terminal can be mobile terminal, for example, mobile phone etc..
In a kind of optional embodiment of the embodiment of the present invention, as shown in figure 4, server includes online video module, recommendation
Module, content module.Specifically, television equipment is equivalent to the first terminal in above-described embodiment, and mobile terminal is equivalent to above-mentioned
Second terminal in embodiment.Online Video module interacts with television equipment, and television equipment obtains from Online Video module
Take Online Video data.Recommending module determines recommending data, and to terminal recommending data；Content module preserves recommending data, and
Interacted with mobile device, send recommending data to mobile terminal so that mobile terminal is obtained and browsed according on television equipment
Content determine recommending data.
The mould of recommendation process so can be realized by interacting the process for completing to recommend between module independently of each other
Block.Meanwhile, it is capable to the information currently browsed on television equipment according to user, is currently browsed on mobile terminals for user
Content is recommended, and is recommended with realizing real-time response, lifts recommendation effect, improves the correlation and accuracy of recommendation.And can
Recommended among different terminals so that the more diversification of the application scenarios of recommendation.
Server and television equipment and communication of mobile terminal.Wherein, television equipment is equivalent to first in above-described embodiment
Terminal, mobile terminal is equivalent to the second terminal in above-described embodiment.Server with information store, and with television equipment and
Mobile terminal carries out information transmission and interaction, to television equipment provides Online Video data, commending contents, content obtaining etc. take
Business.Specifically, as shown in figure 5, including：
Step 501, the user of user identifies on acquisition television equipment and what user watched on television equipment regards online
Frequency evidence.
Television equipment is identified to send to server by user and asked, and after server receives request, is sent out to television equipment
Video data is sent, in this way, server can determine that user's mark of user on television equipment, and user are seen on television equipment
The Online Video data seen.Television equipment gets online playing video data after video data.
Step 502, by presetting proposed algorithm, determine corresponding to user's mark, the content with Online Video data correlation
Recommending data.
Recommending module in server, by presetting proposed algorithm, determine that user identifies corresponding and Online Video data
The commending contents data of association.Specifically, it is determined that the process of recommending data has been carried out being described in detail in the above-described embodiments,
By presetting proposed algorithm, determine that user's mark is corresponding, above-mentioned with the commending contents data reference of Online Video data correlation
Process.
Step 503, by commending contents data recommendation to user corresponding to user's mark on mobile terminal, mobile terminal and electricity
It is the terminal in Multi-screen interaction system depending on equipment.
Content module in server preserves recommending data, and according to the access request of mobile terminal, is carried to mobile terminal
For content-data corresponding to access request.Mobile terminal sends the access request for carrying user's mark to server, and server connects
After receiving access request, commending contents data corresponding to user's mark are obtained from content module, and commending contents data are sent out
Mobile terminal is given, after mobile terminal receives commending contents data, by commending contents data display to user.
In addition, according to the content browsed on mobile terminal, recommended to the video that user watches on television equipment, with
The above-mentioned Online Video data according to television equipment, the content browsed on mobile terminals to user recommend it is similar, here
Just repeat no more.And the terminal during recommending can be any terminal in Multi-screen interaction system, the embodiment of the present invention is not
It is restricted.
In embodiments of the present invention, the content watched according to user on television equipment, for user on the mobile apparatus
Browse and recommended, it is not necessary to during user browses information on the mobile apparatus, search from magnanimity information and set with TV
The related information of standby upper Online Video data, saves the operating time；The characteristics of utilizing multi-screen interactive simultaneously, according to TV
After Online Video data in equipment determine recommending data, mobile device is fed back in real time, is lifted Consumer's Experience, so may be used
On the basis of it need not increase running cost, to lift recommendation effect.Meanwhile the content that user watches on television equipment, can
To reflect in real time onto the content-browsing of mobile terminal, strengthen the interest that user content browses.
The embodiments of the invention provide a kind of recommendation apparatus, as shown in fig. 6, including：
Acquisition module 601, the user for obtaining user on first terminal identifies and user is currently in first terminal
The first information browsed, first terminal are the terminal in Multi-screen interaction system；
First determining module 602, for by presetting proposed algorithm, determining to close corresponding to user's mark, with the first information
First recommending data of connection；
Recommending module 603, for the first recommending data to be recommended into user corresponding to user's mark in second terminal, its
In, second terminal is the other-end associated in Multi-screen interaction system with first terminal.
By recommendation apparatus provided in an embodiment of the present invention, the spy of multiple terminal real-time, interactives in multi-screen interactive can be utilized
Point, the information currently browsed in a terminal according to user, carried out for the content that user currently browses in another terminal
Recommend.Allow in real time feed back the information that user currently browses, recommend with realizing real-time response, effect is recommended in lifting
Fruit, improve the correlation and accuracy of recommendation.And it can be recommended among different terminals so that the application scenarios of recommendation
More diversification.Meanwhile utilize the application scenarios of multi-screen interactive so that recommendation effect immediately can show in different terminals
Show, expanded the dimension recommended, recommendation effect shows opportunity.
Optionally, the device also includes：
Second determining module, for determining the type of second terminal；
First determining module 602, specifically for the type for second terminal, determine corresponding to user's mark, with first
Information association and type matching with second terminal the first recommending data.
Optionally, recommending module 603 includes：
Receiving submodule, for receiving the access request for carrying user's mark of second terminal transmission；
Matched sub-block, for according to the access identities carried in access request, from content module, matched and searched user
First recommending data corresponding to mark, content module include user's mark and the corresponding relation of the first recommending data；
Recommend submodule, for the user the first recommending data being sent in second terminal.
Optionally, acquisition module 601, the user specifically for obtaining user on television equipment identifies and user is in electricity
Depending on the Online Video data watched in equipment；
First determining module 602, specifically for by presetting proposed algorithm, determining corresponding to user's mark, with regarding online
The commending contents data of frequency data correlation；
Recommending module 603, specifically for by commending contents data recommendation on mobile terminal user mark corresponding to user,
Mobile terminal and the terminal that television equipment is in Multi-screen interaction system.
Optionally, the first determining module 602, including：
Calculating sub module, there is weight highest keyword for calculating in the first information, and using keyword as first
The information characteristics of information；
Submodule is searched, it is similar to information characteristics for being searched from the database for including recommending data prestored
Spend highest information；
Determination sub-module, for determining that similarity highest information is to be associated corresponding to user's mark, with the first information
First recommending data.
It should be noted that the recommendation apparatus of the embodiment of the present invention is the device using above-mentioned recommendation method, then it is above-mentioned to push away
All embodiments for recommending method are applied to the device, and can reach same or analogous beneficial effect.
The embodiment of the present invention additionally provides a kind of electronic equipment, as shown in fig. 7, comprises processor 701, communication interface 702,
Memory 703 and communication bus 704, wherein, processor 701, communication interface 702, memory 703 is complete by communication bus 704
Into mutual communication,
Memory 703, for depositing computer program；
Processor 701, during for performing the program deposited on memory 703, realize any described of above-described embodiment
Recommendation method.
The communication bus that above-mentioned electronic equipment is mentioned can be Peripheral Component Interconnect standard (Peripheral Component
Interconnect, abbreviation PCI) bus or EISA (Extended Industry Standard
Architecture, abbreviation EISA) bus etc..The communication bus can be divided into address bus, data/address bus, controlling bus etc..
For ease of representing, only represented in figure with a thick line, it is not intended that an only bus or a type of bus.
The communication that communication interface is used between above-mentioned electronic equipment and other equipment.
Memory can include random access memory (Random Access Memory, abbreviation RAM), can also include
Nonvolatile memory (non-volatile memory), for example, at least a magnetic disk storage.Optionally, memory may be used also
To be at least one storage device for being located remotely from aforementioned processor.
Above-mentioned processor can be general processor, including central processing unit (Central Processing Unit,
Abbreviation CPU), network processing unit (Network Processor, abbreviation NP) etc.；It can also be digital signal processor
(Digital Signal Processing, abbreviation DSP), application specific integrated circuit (Application Specific
Integrated Circuit, abbreviation ASIC), field programmable gate array (Field-Programmable Gate Array,
Abbreviation FPGA) either other PLDs, discrete gate or transistor logic, discrete hardware components.
By electronic equipment provided in an embodiment of the present invention, the spy of multiple terminal real-time, interactives in multi-screen interactive can be utilized
Point, the information currently browsed in a terminal according to user, carried out for the content that user currently browses in another terminal
Recommend.Allow in real time feed back the information that user currently browses, recommend with realizing real-time response, effect is recommended in lifting
Fruit, improve the correlation and accuracy of recommendation.And it can be recommended among different terminals so that the application scenarios of recommendation
More diversification.Meanwhile utilize the application scenarios of multi-screen interactive so that recommendation effect immediately can show in different terminals
Show, expanded the dimension recommended, recommendation effect shows opportunity.
In another embodiment provided by the invention, a kind of computer-readable recording medium is additionally provided, the computer can
Read to be stored with instruction in storage medium, when run on a computer so that it is any described that computer performs above-described embodiment
Recommendation method.
By computer-readable recording medium provided in an embodiment of the present invention, multiple terminals in multi-screen interactive can be utilized real
When the characteristics of interacting, the information currently browsed in a terminal according to user, currently browsed in another terminal for user
Content recommended.Allow in real time feed back the information that user currently browses, recommend with realizing real-time response,
Recommendation effect is lifted, improves the correlation and accuracy of recommendation.And it can be recommended among different terminals so that recommend
Application scenarios more diversification；Meanwhile utilize the application scenarios of multi-screen interactive so that recommendation effect can be immediately in difference
Terminal on show, expanded the dimension recommended, recommendation effect shows opportunity.
In another embodiment provided by the invention, a kind of computer program product for including instruction is additionally provided, when it
When running on computers so that computer performs any described recommendation method in above-described embodiment.
By computer program product provided in an embodiment of the present invention, multiple terminals in multi-screen interactive can be utilized to hand in real time
The characteristics of mutual, the information currently browsed in a terminal according to user, it is in user currently browses in another terminal
Appearance is recommended.Allow in real time feed back the information that user currently browses, recommend with realizing real-time response, lifted
Recommendation effect, improve the correlation and accuracy of recommendation.And it can be recommended among different terminals so that recommendation is answered
With scene more diversification.Meanwhile utilize the application scenarios of multi-screen interactive so that recommendation effect can be immediately at different ends
Shown on end, expanded the dimension recommended, recommendation effect shows opportunity.
In the above-described embodiments, can come wholly or partly by software, hardware, firmware or its any combination real
It is existing.When implemented in software, can realize in the form of a computer program product whole or in part.The computer program
Product includes one or more computer instructions.When loading on computers and performing the computer program instructions, all or
Partly produce according to the flow or function described in the embodiment of the present invention.The computer can be all-purpose computer, special meter
Calculation machine, computer network or other programmable devices.The computer instruction can be stored in computer-readable recording medium
In, or the transmission from a computer-readable recording medium to another computer-readable recording medium, for example, the computer
Instruction can pass through wired (such as coaxial cable, optical fiber, numeral from a web-site, computer, server or data center
User's line (DSL)) or wireless (such as infrared, wireless, microwave etc.) mode to another web-site, computer, server or
Data center is transmitted.The computer-readable recording medium can be any usable medium that computer can access or
It is the data storage devices such as server, the data center integrated comprising one or more usable mediums.The usable medium can be with
It is magnetic medium, (for example, floppy disk, hard disk, tape), optical medium (for example, DVD) or semiconductor medium (such as solid state hard disc
Solid State Disk (SSD)) etc..
It should be noted that herein, such as first and second or the like relational terms are used merely to a reality
Body or operation make a distinction with another entity or operation, and not necessarily require or imply and deposited between these entities or operation
In any this actual relation or order.Moreover, term " comprising ", "comprising" or its any other variant are intended to
Nonexcludability includes, so that process, method, article or equipment including a series of elements not only will including those
Element, but also the other element including being not expressly set out, or it is this process, method, article or equipment also to include
Intrinsic key element.In the absence of more restrictions, the key element limited by sentence "including a ...", it is not excluded that
Other identical element also be present in process, method, article or equipment including the key element.
Each embodiment in this specification is described by the way of related, identical similar portion between each embodiment
Divide mutually referring to what each embodiment stressed is the difference with other embodiment.It is real especially for system
For applying example, because it is substantially similar to embodiment of the method, so description is fairly simple, related part is referring to embodiment of the method
Part explanation.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the scope of the present invention.It is all
Any modification, equivalent substitution and improvements made within the spirit and principles in the present invention etc., are all contained in protection scope of the present invention
It is interior.
Claims (11)
- A kind of 1. recommendation method, it is characterised in that including：The first letter that user's mark of user and the user currently browse on the first terminal on acquisition first terminal Breath, the first terminal are the terminal in Multi-screen interaction system；By presetting proposed algorithm, determine that the user identifies the first recommending data that is corresponding, being associated with the first information；First recommending data is recommended into the user corresponding to user mark in second terminal, wherein, described the Two terminals are the other-end associated in the Multi-screen interaction system with the first terminal.
- 2. according to the method for claim 1, it is characterised in that it is described determine corresponding to user mark, with it is described Before first recommending data of first information association, methods described also includes：Determine the type of the second terminal；First recommending data for determining that user's mark is corresponding, being associated with the first information, including：For the type of the second terminal, determine corresponding to user's mark, associated with the first information and with institute State first recommending data of the type matching of second terminal.
- 3. method according to claim 1 or 2, it is characterised in that described that first recommending data is recommended second The user corresponding to user's mark in terminal, including：Receive the access request for carrying user's mark that the second terminal is sent；According to the access identities carried in the access request, from content module, user's mark pair described in matched and searched First recommending data answered, the content module include user's mark and the corresponding relation of the first recommending data；The user first recommending data being sent in the second terminal.
- 4. method according to claim 1 or 2, it is characterised in that the user's mark for obtaining user on first terminal, And the first information that the user currently browses on the first terminal, including：The Online Video number that user's mark of user and the user watch on the television equipment on acquisition television equipment According to；First recommendation by presetting proposed algorithm, determine corresponding to user mark, associated with the first information Data, including：By the default proposed algorithm, determine corresponding to user's mark, the content with the Online Video data correlation Recommending data；It is described that first recommending data is recommended into the user corresponding to user's mark in second terminal, including：By the commending contents data recommendation to the user, the mobile terminal corresponding to user's mark on mobile terminal It is the terminal in the Multi-screen interaction system with the television equipment.
- 5. method according to claim 1 or 2, it is characterised in that it is described by presetting proposed algorithm, determine the user The first recommending data that mark is corresponding, is associated with the first information, including：Calculate and occur weight highest keyword in the first information, and the letter using the keyword as the first information Cease feature；Searched and described information characteristic similarity highest information from the database for including recommending data prestored；Determine that the similarity highest information identifies the first recommendation that is corresponding, being associated with the first information for the user Data.
- A kind of 6. recommendation apparatus, it is characterised in that including：Acquisition module, the user for obtaining user on first terminal identifies and the user is currently in the first terminal On the first information that browses, the first terminal is the terminal in Multi-screen interaction system；First determining module, for by presetting proposed algorithm, determining to close corresponding to user's mark, with the first information First recommending data of connection；Recommending module, for first recommending data to be recommended into the use corresponding to user's mark in second terminal Family, wherein, the second terminal is the other-end associated in the Multi-screen interaction system with the first terminal.
- 7. device according to claim 6, it is characterised in that described device also includes：Second determining module, for determining the type of the second terminal；First determining module, specifically for the type for the second terminal, determine corresponding to user's mark, with The first information associates and first recommending data with the type matching of the second terminal.
- 8. the device according to claim 6 or 7, it is characterised in that the recommending module includes：Receiving submodule, the access request of the carrying user's mark sent for receiving the second terminal；Matched sub-block, for according to the access identities carried in the access request, from content module, matched and searched First recommending data corresponding to user's mark, the content module include user's mark and the first recommending data Corresponding relation；Recommend submodule, for the user first recommending data being sent in the second terminal.
- 9. the device according to claim 6 or 7, it is characterised in that the acquisition module, specifically for obtaining television equipment The Online Video data that user's mark of upper user and the user watch on the television equipment；First determining module, specifically for by the default proposed algorithm, determining that the user identifies corresponding and institute State the commending contents data of Online Video data correlation；The recommending module, specifically for by the commending contents data recommendation to corresponding to user mark on mobile terminal The user, the mobile terminal and the terminal that the television equipment is in the Multi-screen interaction system.
- 10. the device according to claim 6 or 7, it is characterised in that first determining module, including：Calculating sub module, there is weight highest keyword for calculating in the first information, and using the keyword as The information characteristics of the first information；Submodule is searched, it is similar to described information feature for being searched from the database for including recommending data prestored Spend highest information；Determination sub-module, for determining that the similarity highest information identifies corresponding and the described first letter for the user Cease the first recommending data of association.
- 11. a kind of electronic equipment, it is characterised in that including processor, communication interface, memory and communication bus, wherein, processing Device, communication interface, memory complete mutual communication by communication bus；Memory, for depositing computer program；Processor, during for performing the program deposited on memory, realize any described method and steps of claim 1-5.
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| CN201710790153.4A CN107566858A (en) | 2017-09-05 | 2017-09-05 | One kind recommends method, apparatus and electronic equipment |
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| CN201710790153.4A CN107566858A (en) | 2017-09-05 | 2017-09-05 | One kind recommends method, apparatus and electronic equipment |
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