CN105989114A

CN105989114A - Collection content recommendation method and terminal

Info

Publication number: CN105989114A
Application number: CN201510080481.6A
Authority: CN
Inventors: 曾元清
Original assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd
Current assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd
Priority date: 2015-02-12
Filing date: 2015-02-12
Publication date: 2016-10-05

Abstract

The embodiment of the invention relates to the field of the information technology, and discloses a collection content recommendation method and a terminal. The method comprises the following steps: firstly, the terminal can obtain collection contents in the favorites of the terminal, and carries out primary classification on the collection contents according to a primary classification rule; then, at least one recommendation content which is the same with the data characteristics of the category of the primary classification in the database of a terminal server is obtained by aiming at each category of the primary classification; and finally, the content tag of the recommendation content is displayed in a collection recommendation bar of the favorites of the terminal. Through the embodiment of the invention, the terminal can recommend the contents which need to be collected to a user, and therefore, the user can quickly and efficiently search the own interested collection contents so as to improve collection efficiency.

Description

A kind of collection content recommendation method and terminal

Technical field

The present invention relates to areas of information technology, be specifically related to a kind of collection content recommendation method and terminal.

Background technology

Big along with the universal of the intelligent terminal such as smart mobile phone, panel computer, palm PC and software application Amount occurs, for downloading the software application shop of the contents such as all kinds of software application, desktop wallpaper, ringing sound of cell phone Occur the most in a large number.Under normal circumstances, user, when finding the content needing to install and use, may browse to The content more interesting than comparatively fresh, at this moment, user may download, by not being eager, the content installed and first collect to receipts Hide in folder, in order to follow-up further appreciate that or install experience, or by these fresh interesting in Hold collection to collection, in order to subsequent recommendation gives other good friends.But this collection mode is it is generally required to user is clear Substantial amounts of content of looking at just can find the collection content of needs, therefore, makes user get fast and efficiently certainly Oneself has become problem demanding prompt solution at collection content interested.

Summary of the invention

The embodiment of the invention discloses a kind of collection content recommendation method and terminal, it is possible to recommend to be suitable for user and receive The content information hidden.

Embodiment of the present invention first aspect discloses a kind of collection content recommendation method, and described method includes:

Obtain the collection content in terminal collection；

According to Main classification rule, described collection content is carried out Main classification；

For each Main classification classification, obtain the number with described Main classification classification in terminal server data base According at least one content recommendation that feature is identical；

The collection that the content tab of described content recommendation is shown in described collection is recommended in hurdle.

In conjunction with embodiment of the present invention first aspect, in the first possible reality of embodiment of the present invention first aspect In existing mode, after described collection content is carried out Main classification according to Main classification rule by described step, in institute State step and obtain in the data base of terminal server identical with the data characteristics of described Main classification classification at least one Before individual content recommendation, described method also includes:

For each Main classification classification, obtain the first quantity collecting content under described Main classification classification；

Judge the sum of the first quantity collecting content under described Main classification classification and described collection collection content Whether the first quantity ratio of amount is more than predetermined number ratio；

When described first quantity ratio is more than predetermined number ratio, perform the number of described acquisition terminal server Operation according at least one content recommendation identical with the data characteristics of described Main classification classification in storehouse.

In conjunction with the first possible implementation of embodiment of the present invention first aspect or first aspect, at this In the implementation that the second of bright embodiment first aspect is possible, described step obtains described terminal server Data base at least one content recommendation identical with the data characteristics of described Main classification classification, including:

Collection content under described Main classification classification is carried out subseries according to subseries rule；

For each subseries classification, calculate the second quantity and the institute collecting content under described subseries classification State the second quantity ratio of the total quantity collecting content under Main classification classification；

Obtain from the data base of described terminal server and target subseries classification under described Main classification classification At least one content recommendation that data characteristics is identical, wherein, the second quantity ratio of described target subseries classification It is worth the highest in the quantity ratio of all subseries classifications under described Main classification classification.

In conjunction with embodiment of the present invention first aspect, in the third possible reality of embodiment of the present invention first aspect In existing mode, after described collection content is carried out Main classification according to Main classification rule by described step, in institute State step and obtain in the data base of terminal server identical with the data characteristics of described Main classification classification at least one Before individual content recommendation, described method also includes:

For each Main classification classification, obtain the 3rd quantity collecting content under described Main classification classification；

Judge that whether the 3rd quantity collecting content under described Main classification classification is more than pre-set threshold numbers；

When described 3rd quantity is more than pre-set threshold numbers, perform the data base of described acquisition terminal server In the operation of at least one content recommendation identical with the data characteristics of described Main classification classification.

In conjunction with the third possible implementation of embodiment of the present invention first aspect, in the embodiment of the present invention In the 4th kind of possible implementation on the one hand, in described step obtains described terminal server data base After at least one content recommendation identical with the data characteristics of described Main classification classification, in described step by institute Stating the content tab of content recommendation and be shown in before the collection of described collection recommends in hurdle, described method is also wrapped Include:

For each content recommendation, calculate favorable comment quantity and overall merit in the evaluation information of described content recommendation The favorable comment ratio of quantity；

Favorable comment ratio is arranged according to the size of favorable comment ratio more than all content recommendations presetting comparation and assessment value Sequence, to obtain target content recommendation；

Wherein, the content tab of described content recommendation is shown in the collection recommendation of described collection by described step In hurdle, including:

The content tab of described target content recommendation is shown in described Main classification category regions, wherein, institute State Main classification category regions to be positioned in the collection recommendation hurdle of described collection.

Embodiment of the present invention second aspect discloses a kind of terminal, and described terminal includes:

First acquiring unit, for obtaining the collection content in terminal collection；

Main classification unit, for carrying out Main classification according to Main classification rule by described collection content；

Second acquisition unit, for for each Main classification classification, obtain in terminal server data base with At least one content recommendation that described Main classification categorical data feature is identical；

Display unit, recommends for the content tab of described content recommendation is shown in the collection of described collection In hurdle.

In conjunction with embodiment of the present invention second aspect, in the first possible reality of embodiment of the present invention second aspect In existing mode, described terminal also includes:

3rd acquiring unit, is used for after described Main classification unit carries out Main classification to described collection content, For each Main classification classification, obtain the first quantity collecting content under described Main classification classification；

First judging unit, for judging that described first quantity that described 3rd acquiring unit gets is with described In collection, whether the first quantity ratio of the total quantity of collection content is more than predetermined number ratio；

When described first judging unit judges described first quantity ratio more than predetermined number ratio, trigger Described second acquisition unit obtains in the data base of described terminal server special with the data of described Main classification classification Levy at least one identical content recommendation.

The first possible realization in conjunction with embodiment of the present invention second aspect or embodiment of the present invention second aspect Mode, in the implementation that the second of embodiment of the present invention second aspect is possible, described second obtains list Unit includes:

Subseries subelement, for carrying out the collection content under described Main classification classification according to subseries rule Subseries；

Computation subunit, for for each subseries classification, calculates collection under described subseries classification interior The second quantity ratio of the total quantity of content is collected under the second quantity held and described Main classification classification；

Perform subelement, for obtaining from the data base of described terminal server and under described Main classification classification At least one content recommendation that the data characteristics of target subseries classification is identical, wherein, described target subseries Second quantity ratio of classification is the highest in the quantity ratio of all subseries classifications under described Main classification classification.‘

In conjunction with embodiment of the present invention second aspect, in the third possible reality of embodiment of the present invention second aspect In existing mode, described terminal also includes:

4th acquiring unit, is used for after described Main classification unit carries out Main classification to described collection content, For each Main classification classification, obtain the 3rd quantity collecting content under described Main classification classification；

Second judging unit, for judging whether the 3rd quantity collecting content under described Main classification classification is more than Pre-set threshold numbers；

When described second judging unit judges described 3rd quantity more than pre-set threshold numbers, trigger described Second acquisition unit obtain in the data base of described terminal server with the data characteristics phase of described Main classification classification At least one same content recommendation.

In conjunction with the third possible implementation of embodiment of the present invention second aspect, in the embodiment of the present invention In 4th kind of possible implementation of two aspects, described terminal also includes:

Computing unit, is used for after described second acquisition unit gets at least one content recommendation, for Each content recommendation, calculates the good of favorable comment quantity and overall merit quantity in the evaluation information of described content recommendation Comparation and assessment value；

Sequencing unit, the favorable comment ratio for being calculated by described computing unit is more than the institute presetting comparation and assessment value Content recommendation is had to be ranked up according to the size of favorable comment ratio, to obtain target content recommendation；

Wherein, the content tab of described content recommendation is shown in the collection of described collection by described display unit Concrete mode in recommendation hurdle is:

Implement the embodiment of the present invention, have the advantages that

In the embodiment of the present invention, first terminal can obtain the collection content in the collection of this terminal, and root According to Main classification rule, described collection content is carried out Main classification, then for each Main classification classification, obtain Take at least one content recommendation identical with the data characteristics of this Main classification classification in the data base of terminal server, Finally the content tab of this content recommendation being shown, the collection of the collection in this terminal is recommended in hurdle.By this Inventive embodiments, terminal can be recommended to need the content of collection to user, be allowed users to fast and efficiently Find oneself collection content interested, improve collection efficiency.

Accompanying drawing explanation

For the technical scheme being illustrated more clearly that in the embodiment of the present invention, institute in embodiment being described below The accompanying drawing used is needed to be briefly described, it should be apparent that, the accompanying drawing in describing below is only the present invention Some embodiments, for those of ordinary skill in the art, on the premise of not paying creative work, Other accompanying drawing can also be obtained according to these accompanying drawings.

Fig. 1 is a kind of schematic flow sheet collecting content recommendation method disclosed in the embodiment of the present invention；

Fig. 2 is the schematic flow sheet of another kind of collection content recommendation method disclosed in the embodiment of the present invention；

Fig. 3 is the schematic flow sheet of the embodiment of the present invention another collection content recommendation method disclosed；

Fig. 4 is the structural representation of a kind of terminal disclosed in the embodiment of the present invention；

Fig. 5 is the structural representation of another kind of terminal disclosed in the embodiment of the present invention；

Fig. 6 is the structural representation of the embodiment of the present invention another terminal disclosed.

Detailed description of the invention

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 clearly Chu, be fully described by, it is clear that described embodiment be only a part of embodiment of the present invention rather than Whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art are not making creation The every other embodiment obtained under property work premise, broadly falls into the scope of protection of the invention.

The embodiment of the invention discloses a kind of collection content recommendation method and terminal, it is possible to recommend to be suitable for user and receive The content information hidden.It is described in detail individually below.

Referring to Fig. 1, Fig. 1 is a kind of flow process signal collecting content recommendation method disclosed in the embodiment of the present invention Figure.Wherein, the method shown in Fig. 1 can apply to smart mobile phone (such as Android phone, iOS mobile phone etc.), MP3, MP4, MP5, panel computer, palm PC and mobile internet device (Mobile Internet Devices, MID), in the terminal such as PAD.As it is shown in figure 1, the method may comprise steps of:

S101, terminal obtain the collection content in this terminal collection.

In the embodiment of the present invention, the collection of terminal is generally in terminal the collection of the application installed, these receipts The collection content hidden in folder can be saved in the local folders of terminal, it is also possible to is saved in the cloud of this application In end server, the embodiment of the present invention does not limits.Therefore, in terminal can obtain the collection in collection Hold.When this application is software store, software store application can obtain the application of this software store by terminal Collection content in collection, now, collection content can include software application, mobile phone theme, wallpaper, Ringing sounds of cell phone etc., the embodiment of the present invention does not limits；When this application is browser client, browser visitor Family end also can obtain the collection content in the collection of this browser by terminal, and now, collection content is permissible Including network address, content tab etc..

This collection content is carried out Main classification according to Main classification rule by S102, terminal.

In the embodiment of the present invention, Main classification rule can include but not limited to collect the brief introduction of content, receipts Hide attribute and the particular use of collection content of content.Therefore, after getting collection content, terminal According to Main classification rule, collection content can be carried out Main classification.

For example, when terminal recognition goes out the attribute of this collection content, terminal can be according to this collection content Attribute collection content is carried out Main classification, as go out when terminal recognition the attribute of this collection content be audio frequency time, Terminal can be by this collection division of teaching contents to the Main classification classification of the tinkle of bells class；In terminal recognition goes out this collection When the attribute held is picture, in the Main classification classification that this collection division of teaching contents to wallpaper can be arranged by terminal.Enter These, after terminal gets collection content, can be received by one step ground according to the attribute character of collection content Hide content Main classification respectively to software application class, game class, the tinkle of bells class, wallpaper class and desktop theme class etc. In Main classification classification.

S103, for each Main classification classification, terminal obtain in the data base of terminal server with this main point At least one content recommendation that the data characteristics of class classification is identical.

In the embodiment of the present invention, terminal server is the server installing application in terminal, this terminal server Data base in storage have the various content informations in the Internet.Therefore, for each Main classification classification, Terminal can search all of content from the data base of terminal server, then for each content, then compares The most identical with the data characteristics of this Main classification classification, when the number of these contents compared with the data characteristics of these contents According to feature identical with the data characteristics of this Main classification classification time, terminal just can from the data base of terminal server Obtain these contents, as content recommendation.

For example, when Main classification classification is game class, terminal can be looked into from the data base of terminal server Look for all of content, then for some content, then judge whether the attribute of this content belongs to amusement and recreation, If it is, show that the data characteristics of this content is identical with the data characteristics of game class, therefore, terminal can be by This content obtains out from the data base of terminal server as content recommendation.

The content tab of this content recommendation is shown in the collection of this collection and recommends in hurdle by S104, terminal.

In the embodiment of the present invention, it is provided with collection in collection and recommends hurdle, can give in hurdle is recommended in collection and use The content information for collection is recommended at family.Therefore, after terminal gets these content recommendations, can will be somebody's turn to do The content tab of content recommendation shows that the collection at this collection is recommended in hurdle.Wherein, it is recommended that the content of content Label can include the icon information of this content recommendation, this content recommendation brief introduction etc..When content recommendation is APP Time, part scene picture when content tab can include running this APP, the profile information of this APP, The information etc. collected, the embodiment of the present invention does not limits.

Referring to Fig. 2, Fig. 2 is that disclosed in the embodiment of the present invention, the flow process of another kind of collection content recommendation method is shown It is intended to.Wherein, the method shown in Fig. 2 can apply to smart mobile phone (such as Android phone, iOS mobile phone Deng), MP3, MP4, MP5, panel computer, palm PC and mobile internet device (Mobile Internet Devices, MID), in the terminal such as PAD.As in figure 2 it is shown, the method may comprise steps of:

S201, terminal obtain the collection content in this terminal collection.

This collection content is carried out Main classification according to Main classification rule by S202, terminal.

For example, when terminal recognition goes out the attribute of this collection content, terminal can be according to this collection content Attribute collection content is carried out Main classification, as go out when terminal recognition the attribute of this collection content be audio frequency time, Terminal can be by this collection division of teaching contents to the Main classification classification of the tinkle of bells class；When identifying this collection content When attribute is picture, in the Main classification classification that this collection division of teaching contents to wallpaper can be arranged by terminal.Further Ground, after terminal gets collection content, can be according to the attribute character of collection content by these collections Hold Main classification respectively to divide to software application class, game class, the tinkle of bells class, wallpaper class and desktop theme class etc. are main In class classification.

S203, for each Main classification classification, terminal obtains and collects the first of content under this Main classification classification Quantity.

In the embodiment of the present invention, for each Main classification classification, terminal can obtain this Main classification classification Under the quantity of collection content, be the first quantity, in order to terminal judges whether needs according to this first quantity Recommend to belong to the content recommendation under this Main classification classification.

For example, when Main classification classification is software application class, terminal can obtain and belong to this software application class Under all collection contents, then obtain the quantity of the collection content of this software application class.

The first quantity collecting content under this Main classification classification of S204, terminal judges collects content with this collection The first quantity ratio of total quantity whether more than predetermined number ratio, if being more than, perform step S205；If It is less than or equal to, performs step S203.

In the embodiment of the present invention, when getting the first quantity of the collection content belonged under this Main classification classification, Terminal can calculate this first quantity and the first quantity ratio of the total quantity of all collection contents in collection, so After compare the size of this first quantity ratio and predetermined number ratio further.When this first quantity ratio is more than During predetermined number ratio, the data that terminal can obtain in the data base of terminal server with this Main classification classification are special Levy at least one identical content recommendation；When this first quantity ratio is less than or equal to predetermined number ratio, Terminal can obtain the quantity of the collection content under next Main classification classification.

For example, when the first quantity getting the tinkle of bells class collection content is 10, in the collection in collection The total quantity held is 15, and when predetermined number ratio is 1/2, and the first quantity that terminal calculates and total quantity The first quantity ratio be 10/15=2/3, therefore, terminal judges goes out this first quantity ratio more than predetermined number Ratio, obtains at least identical with the data characteristics of the tinkle of bells class the most again from the data base of terminal server Individual content recommendation；And if predetermined number ratio is 3/4, terminal then can judge that this first quantity ratio is less than Predetermined number ratio, therefore, terminal can obtain the number of the collection content of next Main classification classification such as wallpaper class Amount.

S205, when step S204 judges the first quantity ratio more than predetermined number ratio, terminal obtains eventually At least one content recommendation identical with the data characteristics of this Main classification classification in the data base of end server.

In the embodiment of the present invention, terminal server is the server installing application in terminal, this terminal server Data base in storage have the various content informations in the Internet.Therefore, this first quantity is gone out when terminal judges When ratio is more than predetermined number ratio, terminal just can search all of content from the data base of terminal server, Then for each content, then compare the data characteristics of these contents whether with the data of this Main classification classification Feature is identical, and when the data characteristics of these contents is identical with the data characteristics of this Main classification classification, terminal is These contents can be obtained, as content recommendation from the data base of terminal server.

For example, when Main classification classification is game class, and terminal judges goes out the collection content of this game class When first quantity ratio is more than predetermined number ratio, terminal can be searched all from the data base of terminal server Content, then for some content, then judge whether the attribute of this content belongs to amusement and recreation, if Being then to show that the data characteristics of this content is identical with the data characteristics of game class, therefore, terminal can be interior by this Hold and obtain out as content recommendation from the data base of terminal server.

As the optional embodiment of one, with this Main classification class in the data base of terminal acquisition terminal server At least one content recommendation that other data characteristics is identical may comprise steps of:

Step 11) the collection content under this Main classification classification carries out subseries according to subseries rule by terminal；

Step 12) terminal for each subseries classification, calculate and under this subseries classification, collect the of content The second quantity ratio of the total quantity of content is collected under two quantity and this Main classification classification；

Step 13) terminal obtain from the data base of terminal server with this Main classification classification under target subseries At least one content recommendation that the data characteristics of classification is identical, wherein, the second number of this target subseries classification Amount ratio is the highest in the quantity ratio of all subseries classifications under this Main classification classification.

In the embodiment of the present invention, terminal first can be by the collection content under this Main classification classification further according to secondary point Rule-like carries out subseries, then calculates the second quantity of the collection content under each subseries classification and is somebody's turn to do The second quantity ratio of the total quantity of content is collected, the most again from the data of terminal server under Main classification classification In storehouse, the data obtaining the target subseries classification the highest with the second quantity ratio under this Main classification classification are special Levying identical content recommendation, this content recommendation can be one, it is also possible to for multiple, and the embodiment of the present invention is not Limit.

In the embodiment of the present invention, subseries rule can be the type of the collection content under this Main classification classification. For example, when Main classification classification is game class, subseries can include Fructus Alpiniae Oxyphyllae class of lying fallow, and action is taken a risk Class, chess category, sports class etc..When Main classification classification is the tinkle of bells class, subseries can include popular class, Sentimental class, dance music class, rock and roll class etc..Below only to subseries rule and part Main classification classification under time Class categories is illustrated, and is not intended to limit protection scope of the present invention.

For example, if Main classification classification is wallpaper class, in terminal detects the collection content of collection, Belong to the quantity ratio of collection content of the landscape type of wallpaper apoplexy due to endogenous wind in the other kinds of quantity of wallpaper apoplexy due to endogenous wind In ratio the highest time, terminal just can obtain from the data base of terminal server and belong to the wallpaper of landscape type, Then the collection at collection recommends to recommend in hurdle to show at wallpaper type the wallpaper of landscape type.

The content tab of this content recommendation is shown in the collection of this collection and recommends in hurdle by S206, terminal, and Process ends.

In the embodiment of the present invention, terminal, for each Main classification classification, all can obtain under this Main classification classification Collection content quantity and collection in the quantity ratio of total quantity of collection content, right rear line recommends, The i.e. collection at collection recommends display in hurdle to belong to the bigger Main classification classification of the quantity ratio of collection content Content recommendation.In this way, terminal can effectively recommend the content information that user is interested, and then Can allow the user to find oneself collection content interested fast and efficiently, improve collection efficiency.

Refer to the flow process that Fig. 3, Fig. 3 are the embodiment of the present invention another collection content recommendation methods disclosed show It is intended to.Wherein, the method shown in Fig. 3 can apply to smart mobile phone (such as Android phone, iOS mobile phone Deng), MP3, MP4, MP5, panel computer, palm PC and mobile internet device (Mobile Internet Devices, MID), in the terminal such as PAD.As it is shown on figure 3, the method may comprise steps of:

S301, terminal obtain the collection content in this terminal collection.

This collection content is carried out Main classification according to Main classification rule by S302, terminal.

For example, when terminal recognition goes out the attribute of this collection content, terminal can be according to this collection content Attribute collection content is carried out Main classification, as when the attribute identifying this collection content is audio frequency, terminal Can be by this collection division of teaching contents to the Main classification classification of the tinkle of bells class；When identifying the genus that this collection content is During property picture, in the Main classification classification that this collection division of teaching contents to wallpaper can be arranged by terminal.Further, After terminal gets collection content, according to the attribute character of collection content, these collection contents can be divided Other Main classification is to Main classification classes such as software application class, game class, the tinkle of bells class, wallpaper class and desktop theme classes In not.

S303, for each Main classification classification, terminal obtains and collects the 3rd of content under this Main classification classification Quantity.

In the embodiment of the present invention, for each Main classification classification, terminal can obtain this Main classification classification Under the quantity of collection content, be the 3rd quantity, in order to terminal judges whether needs according to the 3rd quantity Recommend to belong to the content recommendation under this Main classification classification.

Whether the 3rd quantity of content is collected more than predetermined threshold value number under this Main classification classification of S304, terminal judges Amount, if being more than, performs step S305；If being less than or equal to, perform step S303.

In the embodiment of the present invention, when getting three quantity of the collection content belonged under this Main classification classification, Terminal can compare the size of the 3rd quantity and pre-set threshold numbers.When the 3rd quantity is more than predetermined threshold value number During amount, terminal can obtain in the data base of terminal server identical with the data characteristics of this Main classification classification extremely A few content recommendation；When the 3rd quantity is less than or equal to pre-set threshold numbers, terminal can obtain down The quantity of content is collected under one Main classification classification.

For example, when the 3rd quantity getting the tinkle of bells class collection content is 13, and pre-set threshold numbers is When 10, terminal may determine that the 3rd quantity is more than pre-set threshold numbers, the most again from terminal server Data base obtains at least one content recommendation identical with the data characteristics of the tinkle of bells class；And if predetermined threshold value Quantity is 15, and terminal then can judge that the 3rd quantity is less than pre-set threshold numbers, and therefore, terminal can obtain The quantity of the collection content of next Main classification classification such as wallpaper class.

S305, step S304 judge the 3rd quantity more than pre-set threshold numbers time, terminal obtain terminal clothes At least one content recommendation identical with the data characteristics of this Main classification classification in the data base of business device.

In the embodiment of the present invention, terminal server is the server installing application in terminal, this terminal server Data base in storage have the various content informations in the Internet.Therefore, the 3rd quantity is gone out when terminal judges During more than pre-set threshold numbers, terminal just can search all of content, pin from the data base of terminal server To each content, all can compare the data characteristics of these contents whether with the data characteristics of this Main classification classification Identical, when the data characteristics of these contents is identical with the data characteristics of this Main classification classification, terminal just can be from The data base of terminal server obtains these contents, as content recommendation.

For example, when Main classification classification is game class, and terminal judges goes out the collection content of this game class When 3rd quantity 20 is more than pre-set threshold numbers 15, terminal can search institute from the data base of terminal server Some contents, then for some content, then judge whether the attribute of this content belongs to amusement and recreation, as Fruit is then to show that the data characteristics of this content is identical with the data characteristics of game class, and therefore, terminal can will be somebody's turn to do Content obtains out from the data base of terminal server as content recommendation.

S306, for each content recommendation, terminal calculates favorable comment quantity in the evaluation information of this content recommendation Favorable comment ratio with overall merit quantity.

In the embodiment of the present invention, the data base of terminal server can preserve user each content is commented Valency information.Therefore, after getting content recommendation from the data base of terminal server, for each Content recommendation, terminal can obtain the evaluation information of this content recommendation, then looks up out the favorable comment in evaluation information Quantity, calculates the favorable comment quantity of this content recommendation and the ratio of overall merit quantity, i.e. favorable comment ratio the most again, So as the content that terminal can be collected according to favorable comment ratio recommendation user.

S307, by favorable comment ratio more than presetting all content recommendations of comparation and assessment value size according to favorable comment ratio It is ranked up, to obtain target content recommendation.

In the embodiment of the present invention, when terminal calculates the favorable comment ratio of each content recommendation, terminal can be entered One step screening favorable comment ratio is more than all content recommendations presetting comparation and assessment value, then according to favorable comment ratio is big Little being ranked up, the favorable comment ratio after sequence being completed is referred to as more than all content recommendations presetting comparation and assessment value For target content recommendation；Terminal can also by favorable comment ratio more than preset all content recommendations of comparation and assessment value by Size according to favorable comment ratio is ranked up, and then all content recommendations being arranged in front 10 is referred to as target and recommends Content, the embodiment of the present invention does not limits.

S308, the content tab of this target content recommendation is shown in this Main classification category regions, wherein, This Main classification category regions is positioned at the collection of this collection and recommends in hurdle, and process ends.

In the embodiment of the present invention, it is provided with collection in collection and recommends hurdle, can give in hurdle is recommended in collection and use The content information for collection is recommended at family, and the collection of collection recommends hurdle can be divided into multiple Main classification classification Region, shows the content recommendation under this Main classification classification in each Main classification category regions.When terminal gets After target content recommendation, the content tab of this target content recommendation can be shown and recommend in the collection of this collection In Main classification category regions under hurdle.Wherein, the content tab of target content recommendation can include that this target pushes away Recommend the icon information of content, this target content recommendation brief introduction etc..When content recommendation is APP, content tab Part scene picture when can include running this APP, the profile information of this APP, the information collected Deng, the embodiment of the present invention does not limits.

In the embodiment of the present invention, the mode of display content recommendation can have multiple, and terminal can also be for each Individual Main classification classification, the content recommendation under this Main classification classification that will get according to collection number of times number enter Row sequence, shows that in this Main classification category regions collection number of times is arranged in front the content recommendation of 5, the present invention Embodiment does not limits.

In the embodiment of the present invention, terminal, for each Main classification classification, all can obtain under this Main classification classification The quantity of collection content, right rear line recommends, i.e. the receipts at collection recommend display in hurdle to belong to collection Content recommendation under the Main classification classification that content quantity is more.When terminal demonstration content recommendation, can basis The favorable comment ratio of content recommendation, the i.e. size of positive rating show, it is also possible to collected according to content recommendation The size of number of times show, meanwhile, terminal can show that arrangement is leaned on the content recommendation of display when Front content recommendation.In this way, terminal can effectively recommend the content information that user is interested, And the Main classification category regions of preferably recommending content recommendation show in collection collection recommendation hurdle will be evaluated First place, and then can allow the user to find oneself collection content interested fast and efficiently, improve Collection efficiency.

Referring to Fig. 4, Fig. 4 is the structural representation of a kind of terminal disclosed in the embodiment of the present invention.Wherein, figure Terminal 400 shown in 4 can include smart mobile phone (such as Android phone, iOS mobile phone etc.), MP3, MP4, MP5, panel computer, palm PC and mobile internet device (Mobile Internet Devices, MID), the terminal such as PAD.As shown in Figure 4, this terminal 400 can include with lower unit:

First acquiring unit 401, for obtaining the collection content in this terminal 400 collection.

In the embodiment of the present invention, the collection of terminal 400 is generally in terminal the collection of the application installed, Collection content in this collection can be saved in the local folders of terminal 400, it is also possible to is saved in this In the cloud server of application, the embodiment of the present invention does not limits.Therefore, the first acquiring unit 401 is permissible Obtain the collection content in collection.When this application is software store, software store application can pass through terminal First acquiring unit 401 of 400 obtains the collection content in the collection of this software store application, now, receives Hiding content and can include software application, mobile phone theme, wallpaper, ringing sound of cell phone etc., the embodiment of the present invention is not done Limiting when this application is as browser client, browser client also can be by the first acquisition of terminal 400 Unit 401 obtains the collection content in the collection of this browser, now, collection content can include network address, Content tab etc..

Main classification unit 402, for the receipts got by above-mentioned first acquiring unit 401 according to Main classification rule Hide content and carry out Main classification.

In the embodiment of the present invention, Main classification rule can include but not limited to collect the brief introduction of content, receipts Hide attribute and the particular use of collection content of content.Therefore, receipts are got when the first acquiring unit 401 After hiding content, Main classification unit 402 can carry out Main classification according to Main classification rule to collection content.

For example, when terminal 400 identifies the attribute of this collection content, Main classification unit 402 is permissible Collection content is carried out Main classification by the attribute according to this collection content, in identifying this collection when terminal 400 When the attribute held is audio frequency, Main classification unit 402 can be by the Main classification of this collection division of teaching contents to the tinkle of bells class In classification；When the attribute that terminal 400 identifies this collection content is picture, Main classification unit 402 is permissible In the Main classification classification that this collection division of teaching contents to wallpaper is arranged.Further, when the first acquiring unit 401 After getting collection content, these can be received by Main classification unit 402 according to the attribute character of collection content Hide content Main classification respectively to software application class, game class, the tinkle of bells class, wallpaper class and desktop theme class etc. In Main classification classification.

Second acquisition unit 403, for for each Main classification classification, obtaining the data base of terminal server In at least one content recommendation identical with the data characteristics of this Main classification classification.

In the embodiment of the present invention, terminal server is the server installing application in terminal 400, and this terminal takes In the data base of business device, storage has the various content informations in the Internet.Therefore, for each Main classification class Not, second acquisition unit 403 can search all of content from the data base of terminal server, then for Each content, then the data characteristics comparing these contents is the most identical with the data characteristics of this Main classification classification, When the data characteristics of these contents is identical with the data characteristics of this Main classification classification, second acquisition unit 403 Just can obtain these contents from the data base of terminal server, as content recommendation.

For example, when Main classification classification is game class, second acquisition unit 403 can be from terminal server Data base in search all of content, then for some content, more whether judge the attribute of this content Belong to amusement and recreation, if it is, show that the data characteristics of this content is identical with the data characteristics of game class, Therefore, this content can be obtained from the data base of terminal server by second acquisition unit 403 as content recommendation Take out.

Display unit 404, the content tab of the content recommendation for above-mentioned second acquisition unit 403 is got The collection being shown in this collection is recommended in hurdle.

In the embodiment of the present invention, it is provided with collection in collection and recommends hurdle, can give in hurdle is recommended in collection and use The content information for collection is recommended at family.Therefore, these content recommendations are got when second acquisition unit 403 Afterwards, the content tab of this content recommendation can be shown that hurdle is recommended in the collection at this collection by display unit 404 In.Wherein, it is recommended that the content tab of content can include the icon information of this content recommendation, this content recommendation Brief introduction etc..When content recommendation is APP, content tab can include running part scene graph during this APP Sheet, the profile information of this APP, the information etc. collected, the embodiment of the present invention does not limits.

Referring to Fig. 5, Fig. 5 is the structural representation of another kind of terminal disclosed in the embodiment of the present invention.Wherein, Terminal 500 shown in Fig. 5 can include smart mobile phone (such as Android phone, iOS mobile phone etc.), MP3, MP4, MP5, panel computer, palm PC and mobile internet device (Mobile Internet Devices, MID), the terminal such as PAD.As it is shown in figure 5, this terminal 500 can include with lower unit:

First acquiring unit 501, for obtaining the collection content in this terminal 500 collection.

In the embodiment of the present invention, the collection of terminal 500 is generally in terminal the collection of the application installed, Collection content in this collection can be saved in the local folders of terminal 500, it is also possible to is saved in this In the cloud server of application, the embodiment of the present invention does not limits.Therefore, the first acquiring unit 501 is permissible Obtain the collection content in collection.When this application is software store, software store application can pass through terminal First acquiring unit 501 of 500 obtains the collection content in the collection of this software store application, now, receives Hiding content and can include software application, mobile phone theme, wallpaper, ringing sound of cell phone etc., the embodiment of the present invention is not done Limit；When this application is browser client, browser client also can obtain by the first of terminal 500 Taking unit 501 and obtain the collection content in the collection of this browser, now, collection content can include net Location, content tab etc..

Main classification unit 502, for the receipts got by above-mentioned first acquiring unit 501 according to Main classification rule Hide content and carry out Main classification.

In the embodiment of the present invention, Main classification rule can include but not limited to collect the brief introduction of content, receipts Hide attribute and the particular use of collection content of content.Therefore, receipts are got when the first acquiring unit 501 After hiding content, Main classification unit 502 can carry out Main classification according to Main classification rule to collection content.

For example, when terminal 500 identifies the attribute of this collection content, Main classification unit 502 is permissible Collection content is carried out Main classification by the attribute according to this collection content, in identifying this collection when terminal 500 When the attribute held is audio frequency, Main classification unit 502 can be by the Main classification of this collection division of teaching contents to the tinkle of bells class In classification；When the attribute that terminal 500 identifies this collection content is picture, Main classification unit 502 is permissible In the Main classification classification that this collection division of teaching contents to wallpaper is arranged.Further, when the first acquiring unit 501 After getting collection content, these can be received by Main classification unit 502 according to the attribute character of collection content Hide content Main classification respectively to software application class, game class, the tinkle of bells class, wallpaper class and desktop theme class etc. In Main classification classification.

3rd acquiring unit 503, for for each Main classification classification, obtains and collects under this Main classification classification First quantity of content.

In the embodiment of the present invention, for each Main classification classification, the 3rd acquiring unit 503 can obtain The quantity of the collection content under this Main classification classification, is the first quantity, in order to terminal 500 according to this first Quantity judges whether to need to recommend to belong to the content recommendation under this Main classification classification.

For example, when Main classification classification is software application class, the 3rd acquiring unit 503 can obtain and belong to All collection contents under this software application class, then obtain the quantity of the collection content of this software application class.

First judging unit 504, for judging this Main classification classification that above-mentioned 3rd acquiring unit 503 gets Whether the first quantity of lower collection content is more than with the first quantity ratio of the total quantity of this collection collection content Predetermined number ratio.

In the embodiment of the present invention, Main classification classification is carried out Main classification by Main classification unit 502 and obtains.When When 3rd acquiring unit 503 gets the first quantity of the collection content belonged under this Main classification classification, first Judging unit 504 can calculate this first quantity and the first quantity of the total quantity of all collection contents in collection Ratio, compares the size of this first quantity ratio and predetermined number ratio the most further.When this first quantity When ratio is more than predetermined number ratio, second acquisition unit 505 can obtain in the data base of terminal server with At least one content recommendation that the data characteristics of this Main classification classification is identical；When this first quantity ratio less than or When person is equal to predetermined number ratio, the 3rd acquiring unit 503 can be triggered and obtain under next Main classification classification The quantity of collection content.

For example, it is 10 when the 3rd acquiring unit 503 gets the first quantity of the tinkle of bells class collection content, The total quantity of the collection content in collection is 15, and when predetermined number ratio is 1/2, the first judging unit 504 the first quantity calculated are 10/15=2/3 with the first quantity ratio of total quantity, and therefore, first judges Unit 504 judges that this first quantity ratio is more than predetermined number ratio, and then second acquisition unit 505 is again At least one content recommendation identical with the data characteristics of the tinkle of bells class is obtained from the data base of terminal server； And if predetermined number ratio is 3/4, the first judging unit 504 then can judge that this first quantity ratio is less than Predetermined number ratio, therefore, can trigger the 3rd acquiring unit 503 and obtain next Main classification classification such as wallpaper The quantity of the collection content of class.

Above-mentioned first, second acquisition unit 505, for judging that 504 judge that the first quantity ratio is more than During predetermined number ratio, obtain in the data base of terminal server identical with the data characteristics of this Main classification classification At least one content recommendation.

In the embodiment of the present invention, terminal server is the server installing application in terminal 500, and this terminal takes In the data base of business device, storage has the various content informations in the Internet.Therefore, when the first judging unit 504 When judging this first quantity ratio more than predetermined number ratio, second acquisition unit 505 just can take from terminal The data base of business device searches all of content, then for each content, then compares the number of these contents The most identical with the data characteristics of this Main classification classification according to feature, when main point of data characteristics and this of these contents When the data characteristics of class classification is identical, second acquisition unit 505 just can obtain from the data base of terminal server Take these contents, as content recommendation.

For example, when Main classification classification is game class, and the first judging unit 504 judges this game class The first quantity ratio of collection content more than predetermined number ratio time, second acquisition unit 505 can from terminal The data base of server searches all of content, then for some content, then judges the genus of this content Whether property belongs to amusement and recreation, if it is, show the data characteristics of this content and the data characteristics of game class Identical, therefore, second acquisition unit 505 can using this content as content recommendation from the data of terminal server Storehouse obtains out.

As the optional embodiment of one, second acquisition unit 505 can include subseries subelement 5051, Computation subunit 5052 and execution subelement 5053, wherein:

Above-mentioned classification subelement 5051, for regular according to subseries by the collection content under this Main classification classification Carry out subseries.

Above-mentioned computation subunit 5052, for for each subseries classification, calculates under this subseries classification The second quantity ratio of the total quantity of content is collected under second quantity of collection content and this Main classification classification.

Above-mentioned execution subelement 5053, for obtaining and this Main classification classification from the data base of terminal server At least one content recommendation that the data characteristics of lower target subseries classification is identical, wherein, this target subseries Second quantity ratio of classification is the highest in the quantity ratio of all subseries classifications under this Main classification classification.

In the embodiment of the present invention, subseries subelement 5051 first can be by the collection under this Main classification classification Holding and carry out subseries further according to subseries rule, then computation subunit 5052 calculates each subseries class again The second quantity ratio of the total quantity of content is collected under second quantity of the collection content under not and this Main classification classification Value, finally execution subelement 5053 is again from the data base of terminal server, obtains and under this Main classification classification The identical content recommendation of the data characteristics of the highest target subseries classification of the second quantity ratio, in this recommendation Appearance can be one, it is also possible to for multiple, the embodiment of the present invention does not limits.

In the embodiment of the present invention, subseries rule can be the type of the collection content under this Main classification classification. For example, when Main classification classification is game class, subseries can include Fructus Alpiniae Oxyphyllae class of lying fallow, and action is taken a risk Class, chess category, sports class etc..When Main classification classification is the tinkle of bells class, subseries can include pop music Class, sentimental class, dance music class, rock and roll class etc..Below only under subseries rule and part Main classification classification Subseries classification be illustrated, be not intended to limit protection scope of the present invention.

For example, if Main classification classification is wallpaper class, when second acquisition unit 505 detects collection Collection content in, belong to the quantity ratio of collection content of the landscape type of wallpaper apoplexy due to endogenous wind at wallpaper apoplexy due to endogenous wind In other kinds of quantity ratio the highest time, second acquisition unit 505 just can be from the data base of terminal server Middle acquisition and the wallpaper belonging to landscape type, then the collection at collection is recommended to recommend at wallpaper type in hurdle The wallpaper of display landscape type.

Display unit 506, recommends hurdle for the content tab of this content recommendation is shown in the collection of this collection In.

In the embodiment of the present invention, it is provided with collection in collection and recommends hurdle, can give in hurdle is recommended in collection and use The content information for collection is recommended at family.Therefore, these content recommendations are got when second acquisition unit 505 Afterwards, the content tab of this content recommendation can be shown that hurdle is recommended in the collection at this collection by display unit 506 In.Wherein, it is recommended that the content tab of content can include the icon information of this content recommendation, this content recommendation Brief introduction etc..When content recommendation is APP, content tab can include running part scene graph during this APP Sheet, the profile information of this APP, the information etc. collected, the embodiment of the present invention does not limits.

Refer to the structural representation that Fig. 6, Fig. 6 are the embodiment of the present invention another terminals disclosed.Wherein, Terminal 600 shown in Fig. 6 can include smart mobile phone (such as Android phone, iOS mobile phone etc.), MP3, MP4, MP5, panel computer, palm PC and mobile internet device (Mobile Internet Devices, MID), the terminal such as PAD.As shown in Figure 6, this terminal 600 can include with lower unit:

First acquiring unit 601, for obtaining the collection content in this terminal 600 collection.

In the embodiment of the present invention, the collection of terminal 600 is generally in terminal the collection of the application installed, Collection content in this collection can be saved in the local folders of terminal 600, it is also possible to is saved in this In the cloud server of application, the embodiment of the present invention does not limits.Therefore, the first acquiring unit 601 is permissible Obtain the collection content in collection.When this application is software store, software store application can pass through terminal First acquiring unit 501 of 600 obtains the collection content in the collection of this software store application, now, receives Hiding content and can include software application, mobile phone theme, wallpaper, ringing sound of cell phone etc., the embodiment of the present invention is not done Limit；When this application is browser client, browser client also can obtain by the first of terminal 600 Taking unit 601 and obtain the collection content in the collection of this browser, now, collection content can include net Location, content tab etc..

Main classification unit 602, for the receipts got by above-mentioned first acquiring unit 601 according to Main classification rule Hide content and carry out Main classification.

In the embodiment of the present invention, Main classification rule can include but not limited to collect the brief introduction of content, receipts Hide attribute and the particular use of collection content of content.Therefore, receipts are got when the first acquiring unit 601 After hiding content, Main classification unit 602 can carry out Main classification according to Main classification rule to collection content.

For example, when terminal 600 identifies the attribute of this collection content, Main classification unit 602 is permissible Collection content is carried out Main classification by the attribute according to this collection content, in identifying this collection when terminal 600 When the attribute held is audio frequency, Main classification unit 602 can be by the Main classification of this collection division of teaching contents to the tinkle of bells class In classification；When the attribute that terminal 600 identifies this collection content is picture, Main classification unit 602 is permissible In the Main classification classification that this collection division of teaching contents to wallpaper is arranged.Further, when the first acquiring unit 601 After getting collection content, these can be received by Main classification unit 602 according to the attribute character of collection content Hide content Main classification respectively to software application class, game class, the tinkle of bells class, wallpaper class and desktop theme class etc. In Main classification classification.

4th acquiring unit 603, for for each Main classification classification, obtains and collects under this Main classification classification 3rd quantity of content.

In the embodiment of the present invention, for each Main classification classification, the 4th acquiring unit 603 can obtain The quantity of the collection content under this Main classification classification, is the 3rd quantity, in order to terminal 600 is according to the 3rd Quantity judges whether to need to recommend to belong to the content recommendation under this Main classification classification.

For example, when Main classification classification is software application class, the 4th acquiring unit 603 can obtain and belong to All collection contents under this software application class, then obtain the quantity of the collection content of this software application class.

Second judging unit 604, for judging receipts under this Main classification classification that above-mentioned 4th acquiring unit gets Whether hide the 3rd quantity of content more than pre-set threshold numbers.

In the embodiment of the present invention, Main classification classification is carried out Main classification by Main classification unit 602 and obtains.When When 4th acquiring unit 603 gets three quantity of the collection content belonged under this Main classification classification, second Judging unit 604 can compare the size of the 3rd quantity and pre-set threshold numbers.When the 3rd quantity is more than pre- If during number of thresholds, second acquisition unit 605 can obtain in the data base of terminal server with this Main classification class At least one content recommendation that other data characteristics is identical；When the 3rd quantity is less than or equal to predetermined threshold value During quantity, the 4th acquiring unit 603 can be triggered and obtain the quantity collecting content under next Main classification classification.

For example, it is 13 when the 4th acquiring unit 603 gets the 3rd quantity of the tinkle of bells class collection content, And pre-set threshold numbers is when being 10, the second judging unit 604 may determine that the 3rd quantity more than presetting threshold Value quantity, then second acquisition unit 605 obtains the number with the tinkle of bells class again from the data base of terminal server According at least one content recommendation that feature is identical.And when if pre-set threshold numbers is 15, the second judging unit 604 can judge that the 3rd quantity is less than pre-set threshold numbers, and therefore, the 4th acquiring unit 603 can obtain down The quantity of the collection content of one Main classification classification such as wallpaper class.

Second acquisition unit 605, for judging the 3rd quantity more than presetting at above-mentioned second judging unit 604 During number of thresholds, obtain terminal server data base in identical with the data characteristics of this Main classification classification extremely A few content recommendation.

In the embodiment of the present invention, terminal server is the server installing application in terminal 600, and this terminal takes In the data base of business device, storage has the various content informations in the Internet.Therefore, when the second judging unit 604 When judging the 3rd quantity more than pre-set threshold numbers, second acquisition unit 605 is from the number of terminal server According to searching all of content in storehouse, then for each content, then the data characteristics comparing these contents is No identical with the data characteristics of this Main classification classification, when data characteristics and this Main classification classification of these contents When data characteristics is identical, second acquisition unit 605 just can obtain in these from the data base of terminal server Hold, as content recommendation.

For example, when Main classification classification is game class, and the second judging unit 604 judges this game class The 3rd quantity 20 of collection content more than pre-set threshold numbers 15 time, second acquisition unit 605 can be from end The data base of end server searches all of content, then for some content, then judges this content Whether attribute belongs to amusement and recreation, if it is, show that the data characteristics of this content is special with the data of game class Levy identical, therefore, second acquisition unit 605 can using this content as content recommendation from the number of terminal server Obtain out according in storehouse.

Computing unit 606, for each content recommendation got for above-mentioned second acquisition unit 605, Calculate favorable comment quantity and the favorable comment ratio of overall merit quantity in the evaluation information of this content recommendation.

In the embodiment of the present invention, the data base of terminal server can preserve user each content is commented Valency information.Therefore, from the data base of terminal server, content recommendation is got when second acquisition unit 605 Afterwards, for each content recommendation, second acquisition unit 605 can obtain the evaluation information of this content recommendation, Then looking up out the favorable comment quantity in evaluation information, last computing unit 606 calculates the good of this content recommendation again Comment the ratio of quantity and overall merit quantity, i.e. favorable comment ratio, in order to terminal 600 recommends to use according to favorable comment ratio The content that family can be collected.

Sequencing unit 607, presets all content recommendations of comparation and assessment value according to favorable comment for being more than by favorable comment ratio The size of ratio is ranked up, to obtain target content recommendation.

In the embodiment of the present invention, when computing unit 606 calculates the favorable comment ratio of each content recommendation, Each recommendation that sequencing unit 607 meeting obtains for second acquisition unit 605 according to computing unit 606 is interior The favorable comment ratio held and calculate, screening favorable comment ratio is more than all content recommendations presetting comparation and assessment value, so After be ranked up according still further to the size of favorable comment ratio, the favorable comment ratio after finally sequence being completed is more than presetting All content recommendations of comparation and assessment value are referred to as target content recommendation；Favorable comment ratio can also be more than by terminal 600 The all content recommendations presetting comparation and assessment value are ranked up according to the size of favorable comment ratio, then will be arranged in front All content recommendations of 10 are referred to as target content recommendation, and the embodiment of the present invention does not limits.

Display unit 608, for being shown in this Main classification category regions by the content tab of this target content recommendation In, wherein, this Main classification category regions is positioned at the collection of this collection and recommends in hurdle.

In the embodiment of the present invention, it is provided with collection in collection and recommends hurdle, can give in hurdle is recommended in collection and use The content information for collection is recommended at family, and the collection of collection recommends hurdle can be divided into multiple Main classification classification Region, shows the content recommendation under this Main classification classification in each Main classification category regions.When second obtains list After unit 605 gets target content recommendation, what sequencing unit 607 can be sorted out by display unit 608 should The content tab of target content recommendation shows to be recommended in the Main classification category regions under hurdle in the collection of this collection. Wherein, the content tab of target content recommendation can include the icon information of this target content recommendation, this target Content recommendation brief introduction etc..When content recommendation is APP, content tab can include running portion during this APP Branch scape picture, the profile information of this APP, the information etc. collected, the embodiment of the present invention does not limits.

In the embodiment of the present invention, the mode of display content recommendation can have multiple, and display unit 608 is all right For each Main classification classification, the recommendation under this Main classification classification that second acquisition unit 605 is got Content according to collection number of times number be ranked up, show in this Main classification category regions collection number of times arrange At the content recommendation of front 5, the embodiment of the present invention does not limits.

One of ordinary skill in the art will appreciate that all or part of flow process realizing in above-described embodiment method, Can be by computer program and complete to instruct relevant hardware, described program can be stored in a calculating In machine read/write memory medium, this program is upon execution, it may include such as the flow process of the embodiment of above-mentioned each method. Wherein, described storage medium can be magnetic disc, CD, read-only store-memory body (Read-Only Memory, Or random store-memory body (Random Access Memory, RAM) etc. ROM).

Above disclosed be only present pre-ferred embodiments, certainly can not with this limit the present invention it Interest field, the equivalent variations therefore made according to the claims in the present invention, still belong to the scope that the present invention is contained.

Claims

1. a collection content recommendation method, it is characterised in that including:

Obtain the collection content in terminal collection；

For each Main classification classification, with described Main classification classification in the data base of acquisition terminal server At least one content recommendation that data characteristics is identical；

Method the most according to claim 1, it is characterised in that in described step according to Main classification rule After described collection content is carried out Main classification, with institute in described step obtains the data base of terminal server Before stating at least one content recommendation that the data characteristics of Main classification classification is identical, described method also includes:

Method the most according to claim 1 and 2, it is characterised in that described step obtains described terminal At least one content recommendation identical with the data characteristics of described Main classification classification in the data base of server, bag Include:

Method the most according to claim 4, it is characterised in that obtain described terminal clothes in described step After at least one content recommendation identical with the data characteristics of described Main classification classification in business device data base, Before the content tab of described content recommendation is shown in the collection recommendation hurdle of described collection by described step, Described method also includes:

6. a terminal, it is characterised in that including:

Second acquisition unit, for for each Main classification classification, obtaining in the data base of terminal server At least one content recommendation identical with the data characteristics of described Main classification classification；

Terminal the most according to claim 6, it is characterised in that described terminal also includes:

8. according to the terminal described in claim 6 or 7, it is characterised in that described second acquisition unit includes:

Perform subelement, for obtaining from the data base of described terminal server and under described Main classification classification At least one content recommendation that the data characteristics of target subseries classification is identical, wherein, described target subseries Second quantity ratio of classification is the highest in the quantity ratio of all subseries classifications under described Main classification classification.

Terminal the most according to claim 9, it is characterised in that described terminal also includes: