CN108763579A - Search for content recommendation method, device, terminal device and storage medium - Google Patents
Search for content recommendation method, device, terminal device and storage medium Download PDFInfo
- Publication number
- CN108763579A CN108763579A CN201810586157.5A CN201810586157A CN108763579A CN 108763579 A CN108763579 A CN 108763579A CN 201810586157 A CN201810586157 A CN 201810586157A CN 108763579 A CN108763579 A CN 108763579A
- Authority
- CN
- China
- Prior art keywords
- search
- classification
- recommending
- class categories
- user
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Landscapes
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- User Interface Of Digital Computer (AREA)
Abstract
The embodiment of the present application discloses a kind of search content recommendation method, device, terminal device and storage medium, and this method includes the search term obtained in search input frame, determines the corresponding class categories of described search word；When it includes at least two to determine the corresponding class categories of described search word, at least two class categories are screened to obtain according to the user property classification of storage and recommend classification；It determines described search word corresponding recommending data under the recommendation classification, includes recommending interface, this programme to improve the clicking rate of search recommendation, meet the potential demand of user in search by the recommending data.
Description
Technical field
The invention relates to computer technology more particularly to a kind of search content recommendation method, device, terminal devices
And storage medium.
Background technology
With the raising of terminal device popularity, more and more users' using terminal equipment executes various work(
Can be to meet self-demand, user can be by search software (such as Baidu search) or the application program of installation when having search need
In carry function of search scan for obtain meeting the feedback information of demand.
In the prior art, when a user conducts a search, search interface provides the mechanism existing defects of search recommendation, needs
It improves.
Invention content
The present invention provides a kind of search content recommendation method, device, terminal device and storage mediums, improve search and push away
The clicking rate for recommending content meets the potential demand of user.
In a first aspect, the embodiment of the present application provides a kind of search content recommendation method, including：
The search term in search input frame is obtained, determines the corresponding class categories of described search word；
When it includes at least two to determine the corresponding class categories of described search word, according to the user property classification of storage
At least two class categories are screened to obtain and recommend classification；
It determines described search word corresponding recommending data under the recommendation classification, includes searching for by the recommending data
Recommend interface.
Second aspect, the embodiment of the present application also provides a kind of search content recommendation devices, including：
Search term processing module determines the corresponding classification of described search word for obtaining the search term in search input frame
Classification；
Screening module, for when determine the corresponding class categories of described search word include at least two when, according to storage
User property classification at least two class categories screened to obtain recommend classification；
Data determining module, for determining described search word corresponding recommending data under the recommendation classification；
Display module, for including recommending interface in search by the recommending data.
The third aspect, the embodiment of the present application also provides a kind of terminal devices, including：Processor, memory and storage
On a memory and the computer program that can run on a processor, the processor are realized such as when executing the computer program
Search content recommendation method described in the embodiment of the present application.
Fourth aspect, the embodiment of the present application also provides a kind of storage medium including terminal device executable instruction, institutes
Terminal device executable instruction is stated when being executed by terminal device processor for executing in the search described in the embodiment of the present application
Hold recommendation method.
In the present solution, obtaining the search term in search input frame, determines the corresponding class categories of described search word, work as determination
When going out the corresponding class categories of described search word including at least two, according to the user property classification of storage to described at least two
Class categories, which are screened to obtain, recommends classification, determines described search word corresponding recommending data under the recommendation classification, will
The recommending data is shown in search and recommends interface, improves the clicking rate of search recommendation, meets the potential need of user
It asks.
Description of the drawings
By reading a detailed description of non-restrictive embodiments in the light of the attached drawings below, of the invention other
Feature, objects and advantages will become more apparent upon：
Fig. 1 is a kind of flow chart of search content recommendation method provided by the embodiments of the present application；
Fig. 2 is the flow chart of another search content recommendation method provided in an embodiment of the present invention；
Fig. 3 is the flow chart of another search content recommendation method provided by the embodiments of the present application；
Fig. 4 is the flow chart of another search content recommendation method provided by the embodiments of the present application；
Fig. 5 is the flow chart of another search content recommendation method provided by the embodiments of the present application；
Fig. 6 is the flow chart of another search content recommendation method provided by the embodiments of the present application；
Fig. 7 is the flow chart of another search content recommendation method provided by the embodiments of the present application；
Fig. 8 is a kind of structure diagram of search content recommendation device provided by the embodiments of the present application；
Fig. 9 is a kind of structural schematic diagram of terminal device provided by the embodiments of the present application.
Specific implementation mode
The present invention is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is for explaining the present invention rather than limitation of the invention.It also should be noted that for the ease of retouching
It states, only the parts related to the present invention are shown in attached drawing rather than entire infrastructure.
Fig. 1 is a kind of flow chart of search content recommendation method provided by the embodiments of the present application, is applicable to set terminal
The case where search recommendation of standby middle offer is handled, this method can by terminal device provided by the embodiments of the present application Lai
It executes, software can be used for the search content recommendation device of the terminal device and/or the mode of hardware is realized, as shown in Figure 1, this reality
The concrete scheme for applying example offer is as follows：
Step S101, the search term in search input frame is obtained, determines the corresponding class categories of described search word.
Installing terminal equipment has each class method to be used for user, solves the demand of user.Wherein, search input frame is eventually
The interface control for user's typing search term that the application program or system program of end equipment installation provide, user can be by searching
Typing search term carries out content search in rope input frame.
In one embodiment, when listening to, search input frame control is called or cursor flicker is in searching for input frame
When, respective calls pop up input method after the search term of typing is obtained, when detect search term typing finish start into
When row content search, correspondingly, determining the class categories corresponding to the search term of the typing.It in another embodiment, can be right
The search term of typing is recorded in search input frame, and the search term once recorded is obtained in preset time (such as every 1 day), when
Search term determines the corresponding class categories of search term after getting, if the search term of the user's typing got is multiple,
Correspondingly, determining the corresponding class categories of each search term respectively.
Wherein, the corresponding class categories of search term characterize the classification that the search term can be incorporated into.Illustratively, as searched for
Word is " Jordon ", then the corresponding corresponding class categories of the search term can be " basketball ", " sportswear ", " star " etc., such as
Search term is " sieve C ", then the corresponding class categories of the search term can be " body-building ", " football ", " luxury car " etc..Due to search term
The polyisocyanate of meaning and the diversity of user demand, a usual search term can correspond to one or more class categories, no
The same corresponding search result of class categories is also different, and usual user refers to the classification for paying close attention to oneself demand when inputting search term
The search result that classification generates.
In one embodiment, determining the process of the corresponding class categories of search term can be：According to search term and deposit
The category database of storage determines the corresponding class categories of the search term, wherein different search term institutes are had recorded in category database
Corresponding different classifications classification, such as the example above are stored with multiple search terms such as " Jordon ", " sieve C " in category database,
In, each search term maps respectively is corresponding with one or more class categories, in a category database by the search term got
If the search term recorded in hit category database is matched, correspondingly, by the corresponding classification of the search term of record
Classification is determined as the class categories of the search term got.
Step S102, when it includes at least two to determine the corresponding class categories of described search word, according to the use of storage
Family attribute classification is screened to obtain at least two class categories recommends classification.
Wherein, the classification of the content of user property categorized representation user concern, the number of users stored according to terminal device
According to determining.In using terminal device procedures, terminal device can record the operation of user, browsing information user, show
Example property, user data can be at least one of chat message, Web browsing history information and audio and video playing information.
In one embodiment, when determining that search term corresponds to multiple class categories, the user property class according to storage
It is not screened to obtain recommending classification.Illustratively, the number of users generated by the usage record of the terminal device to user
Include according to the user property classification analyzed：" body-building ", " basketball ", " coach " etc., the search term got are " tall
It is red " and " sieve C ", correspondingly, the corresponding class categories of search term respectively " basketball ", " sportswear ", " star " and " body-building ",
" football ", " luxury car ", by the way that screening is compared in the class categories of search term and class of subscriber, obtained recommendation classification is
" body-building ", " basketball ".
Step S103, described search word corresponding recommending data under the recommendation classification is determined, by the recommending data
It is shown in search and recommends interface.
After determining search term corresponding recommendation classification, correspondingly, providing recommendation number to the user under the recommendation classification
According to, such as when it is " sieve C " to get search term, then recommending data is determined under " body-building " classification accordingly and recommends user,
User is recommended without generating recommending data under " football " or " star " classification.Specifically, determining search term in recommendation class
Under other when corresponding recommending data, the recommending data can be obtained by network search engines (as backstage search " sieve C " " body-building " is closed
Keyword obtains search result, and using the search result as recommending data), the recommending data collection that can also be safeguarded according to server
Close the recommending data for scanning for the selected search term got under the recommendation classification determined.
Wherein, recommending data is the data that user recommends user during scanning for, and in one embodiment, is used
Family can click directly on recommending data to scan for or download.Wherein, search recommends interface that user is supplied to scan for
Interface can be Webpage search interface, can also be that the interface that the application program of included function of search provides illustratively is used
Family can by search recommend interface input frame typing search for word, or click search recommend interface recommendation directly into
Row redirects.
In one embodiment, which can be that heat searches word, recommends search term or recommends application, wherein heat is searched
Word is the top search term of user's search, and it is the word of the search box pop-up displaying when user is in typing search term to recommend search term,
It can be that is shown recommend the application icon of user installation to recommend application.Correspondingly, can be, heat, which searches word and is shown in search, to be pushed away
The heat for recommending interface searches recommendation region, recommends search term to be shown in the recommendation search window of pop-up, the icon of application is recommended to search
Rope recommends the application at interface to recommend region scrolling display.
As shown in the above, after detecting user's typing search term, being determined according to the attribute classification of user itself should
The corresponding recommending data of search term improves user's search efficiency so that push away correspondingly, recommending search interface to be shown
The search content recommended is more in line with the search need of user.
Fig. 2 is the flow chart of another search content recommendation method provided by the embodiments of the present application, optionally, at described
At least two class categories are screened to obtain before recommending classification according to the user property classification of storage, further include：Root
The user data stored according to terminal device determines user property classification, wherein the user data includes that chat message, webpage are clear
Look at least one of historical information and audio and video playing information.As shown in Fig. 2, technical solution is specific as follows：
Step S201, the user data stored according to terminal device determines user property classification.
Wherein, user data includes chat message, Web browsing history information and audio and video playing information etc..Specifically,
It can be by carrying out word or machine learning identification to chat message, Web browsing history information and audio and video playing information to obtain
The attribute tags of user, the attribute classification as user.Illustratively, when mentioning " body-building " and body-building in the chat message of user
When relevant word, user property classification that can accordingly by " body-building " as user.
Step S202, the search term in search input frame is obtained, determines the corresponding class categories of described search word.
Step S203, when it includes at least two to determine the corresponding class categories of described search word, according to the use of storage
Family attribute classification is screened to obtain at least two class categories recommends classification.
Step S204, described search word corresponding recommending data under the recommendation classification is determined, by the recommending data
It is shown in search and recommends interface.
It can be seen from the above, determining user property classification according to the record of the routine use terminal device of user, and then carry out
The screening of recommending data determines so that recommending data and user's attentinal contents relevance are more preferably close, improve search and recommend effect
Rate.
Fig. 3 is the flow chart of another search content recommendation method provided by the embodiments of the present application, optionally, described true
Before determining the corresponding class categories of described search word, further include：It is determined according to the corresponding different search results of different search data
Each corresponding class categories of data of searching for generate category database and are stored；Correspondingly, the determining described search word
Corresponding class categories include：The corresponding classification class of described search word is determined according to described search word and the category database
Not.As shown in figure 3, technical solution is specific as follows：
Step S301, the user data stored according to terminal device determines user property classification.
Step S302, the corresponding classification of each search data is determined according to the corresponding different search results of different search data
Classification generates category database and is stored.
In one embodiment, by classifying the corresponding search result of different search data to obtain categorical data
Library.Illustratively, a search term due to meaning difference or be employed different its of scene of explanation and may correspond to multiple points
Search result under class, such as search term " sieve C ", its obtained search result can be the football collection of choice specimens, personal information, luxury car, muscle
The division of multiple search results such as body-building, the class categories for carrying out the search term according to the corresponding subject classification of search result is true
It is fixed, and preserve accordingly in a category database.As the corresponding class categories of search term " sieve C " can be " body-building ", " luxury car ",
" football ", " star " etc..
Step S303, the search term in search input frame is obtained, it is true according to described search word and the category database
Determine the corresponding class categories of described search word.
Step S304, when it includes at least two to determine the corresponding class categories of described search word, according to the use of storage
Family attribute classification is screened to obtain at least two class categories recommends classification.
Step S305, described search word corresponding recommending data under the recommendation classification is determined, by the recommending data
It is shown in search and recommends interface.
It can be seen from the above, the classification for meeting user itself concern demand is determined as the recommendation classification of search term, and carry out
The determination of recommending data is recommended in recommending search interface, improves the clicking rate of recommendation, increase recommendation
With the relevance of user's actual need, user's operation is simplified.
In another possible embodiment, it is described include after interface is recommended in search, also by the recommending data
Including：Receive the update file that server is sent, according to the update file to the content that is preserved in the category database into
Row update.It, can be periodically to the content preserved in category database, i.e., different search in this programme due to the timeliness of search result
The corresponding search category of word is updated, and covers the data content in original category database, finally obtained to improve
The timeliness of recommending data.
Fig. 4 is the flow chart of another search content recommendation method provided by the embodiments of the present application, optionally, described by institute
State recommending data be shown in search recommend interface include：It includes recommending interface in search that the recommending data is searched word as heat
Heat, which is searched, recommends region.As shown in figure 4, technical solution is specific as follows：
Step S401, the search term in search input frame is obtained, determines the corresponding class categories of described search word.
Step S402, when it includes at least two to determine the corresponding class categories of described search word, according to the use of storage
Family attribute classification is screened to obtain at least two class categories recommends classification.
Step S403, described search word corresponding recommending data under the recommendation classification is determined.
Step S404, it includes recommending the heat at interface to search in search to recommend region the recommending data to be searched word as heat.
Wherein, heat search word be top search term, i.e., the search term that many users search at the same time within some period,
The heat at interface is recommended to search recommended area correspondingly, the heat searches word and is shown in search for, it, can in the region such as the right area of display interface
It enumerates multiple heat and searches that word is for reference, clicks.
In one embodiment, multiple recommendation search terms that recommending data can be, it will be shown in heat to search recommendation
Region, user can directly be clicked to complete function of search.
It can be seen from the above, being shown to obtained recommending data in searching for display interface, it will be shown in the areas Re Sou
Between region so that heat search recommend region show recommendation search content be more in line with user's self-demand, improve user search for
Efficiency.
Fig. 5 is the flow chart of another search content recommendation method provided by the embodiments of the present application, optionally, described by institute
State recommending data be shown in search recommend interface include：When detecting that search term typing control is called, by the recommendation number
It is shown in the recommendation search window of pop-up according to as recommendation search term.As shown in figure 5, technical solution is specific as follows：
Step S501, the search term in search input frame is obtained, determines the corresponding class categories of described search word.
Step S502, when it includes at least two to determine the corresponding class categories of described search word, according to the use of storage
Family attribute classification is screened to obtain at least two class categories recommends classification.
Step S503, described search word corresponding recommending data under the recommendation classification is determined.
Step S504, when detecting that search term typing control is called, using the recommending data as recommendation search term
It is shown in the recommendation search window of pop-up.
Wherein, search term typing control can be the text box for receiving search term typing, and user can click text frame will
Cursor is moved in text box, and calls input method to carry out Characters accordingly.In one embodiment, when detect search
Include being searched in the recommendation of pop-up using the recommending data that step S503 really goes out as search term is recommended when word typing control is called
In rope window, wherein the recommendation search window can be the window popped up below search term typing control, be used in the window
Search term is recommended in displaying, and user can click directly on the recommendation search term shown in window and directly scan for redirecting, alternatively, at this
Recommend scrolling display in search window to recommend search term, the clicking operation of user is monitored, when the click for listening to user
After operation, determines corresponding recommendation search term and scan for.
It can be seen from the above, when user is during searching for input field typing search term, pop-up is determined according to chat data
Recommending data selected for user, significantly improve the search convenience of user, and recommendation is more in line with user's reality
Demand.
Fig. 6 is the flow chart of another search content recommendation method provided by the embodiments of the present application, optionally, described by institute
State recommending data be shown in search recommend interface include：Corresponding recommendation application is determined according to the recommending data, is pushed away described
The icon for recommending application recommends the application at interface that region is recommended to scroll in search.As shown in fig. 6, technical solution is specific as follows：
Step S601, the search term in search input frame is obtained, determines the corresponding class categories of described search word.
Step S602, when it includes at least two to determine the corresponding class categories of described search word, according to the use of storage
Family attribute classification is screened to obtain at least two class categories recommends classification.
Step S603, described search word corresponding recommending data under the recommendation classification is determined.
Step S604, it determines corresponding recommendation application according to the recommending data, the icon for recommending application is being searched
Rope recommends the application at interface to recommend region scrolling display.
Wherein, it is the region that application is recommended in displaying using region is recommended, illustratively, is shown in the region and recommend application
Icon, user can click directly on the download that the icon that the recommendation is applied recommend application.In one embodiment, according to chat
Link information in data determines after recommending application, icon which is applied application recommend region scrolling display for
User, which clicks directly on, to carry out using download.Illustratively, when identifying corresponding website according to the link information in chat data
For basketball website when, determined accordingly with the relevant application of basketball movement as recommending to apply, and the figure that the recommendation is applied
Mark is shown in using recommended area.
It can be seen from the above, being answered by the recommendation for chat data being identified user's concern to obtain meeting user demand
With and be shown in using recommended area, when user calls research tool to scan for, can refer to or directly select using recommended area
The application icon of scrolling display completes the download of application program, improves the download conversion ratio for recommending application.
Fig. 7 is the flow chart of another search content recommendation method provided by the embodiments of the present application, optionally, described by institute
State recommending data be shown in search recommend interface include：When detecting search events triggering, interface is recommended in pop-up search, and will
The recommending data, which is shown in described search, to be recommended in interface.As shown in fig. 7, technical solution is specific as follows：
Step S701, the search term in search input frame is obtained, determines the corresponding class categories of described search word.
Step S702, at least two class categories are screened according to the user property classification of storage and is recommended
Classification determines described search word corresponding recommending data under the recommendation classification.
Step S703, search events are monitored.
Wherein, which can be the event of the pre-set button triggering of default, which may be provided at
In the shortcut menu column or application interface of terminal device, when the pre-set button is clicked, search events are triggered accordingly；Another
In one embodiment, the triggering of key combination which can be fixed is touched when being concurrently depressed such as Menu key and volume key
Send out the search events.
Step S704, when detecting search events triggering, interface is recommended in pop-up search, and the recommending data is shown
In described search recommends interface.
In one embodiment, after search events are triggered, interface is recommended in corresponding pop-up search, is recommended in the search
The recommending data that showing interface is determined is selected for user.
Recommend interface it can be seen from the above, terminal device can easily recall search and the recommendation for meeting user demand is provided
Content is searched for, user's search efficiency is significantly improved, search content is being obtained at the first time convenient for user.
Fig. 8 is a kind of structure diagram of search content recommendation device provided by the embodiments of the present application, and the device is for executing
The search content recommendation method that above-described embodiment provides, has the corresponding function module of execution method and advantageous effect.Such as Fig. 8 institutes
Show, which specifically includes：Search term processing module 101, screening module 102, data determining module 103 and display module 104,
Wherein,
Search term processing module 101 determines corresponding point of described search word for obtaining the search term in search input frame
Class classification.
Installing terminal equipment has each class method to be used for user, solves the demand of user.Wherein, search input frame is eventually
The interface control for user's typing search term that the application program or system program of end equipment installation provide, user can be by searching
Typing search term carries out content search in rope input frame.
In one embodiment, when listening to, search input frame control is called or cursor flicker is in searching for input frame
When, respective calls pop up input method after the search term of typing is obtained, when detect search term typing finish start into
When row content search, correspondingly, determining the class categories corresponding to the search term of the typing.It in another embodiment, can be right
The search term of typing is recorded in search input frame, and the search term once recorded is obtained in preset time (such as every 1 day), when
Search term determines the corresponding class categories of search term after getting, if the search term of the user's typing got is multiple,
Correspondingly, determining the corresponding class categories of each search term respectively.
Wherein, the corresponding class categories of search term characterize the classification that the search term can be incorporated into.Illustratively, as searched for
Word is " Jordon ", then the corresponding corresponding class categories of the search term can be " basketball ", " sportswear ", " star " etc., such as
Search term is " sieve C ", then the corresponding class categories of the search term can be " body-building ", " football ", " luxury car " etc..Due to search term
The polyisocyanate of meaning and the diversity of user demand, a usual search term can correspond to one or more class categories, no
The same corresponding search result of class categories is also different, and usual user refers to the classification for paying close attention to oneself demand when inputting search term
The search result that classification generates.
In one embodiment, determining the process of the corresponding class categories of search term can be：According to search term and deposit
The category database of storage determines the corresponding class categories of the search term, wherein different search term institutes are had recorded in category database
Corresponding different classifications classification, such as the example above are stored with multiple search terms such as " Jordon ", " sieve C " in category database,
In, each search term maps respectively is corresponding with one or more class categories, in a category database by the search term got
If the search term recorded in hit category database is matched, correspondingly, by the corresponding classification of the search term of record
Classification is determined as the class categories of the search term got.
Data identification module 102, for when determine the corresponding class categories of described search word include at least two when, root
At least two class categories are screened to obtain according to the user property classification of storage and recommend classification；Recommending data determines mould
Block 103, for determining described search word corresponding recommending data under the recommendation classification.
Wherein, the classification of the content of user property categorized representation user concern, the number of users stored according to terminal device
According to determining.In using terminal device procedures, terminal device can record the operation of user, browsing information user, show
Example property, user data can be at least one of chat message, Web browsing history information and audio and video playing information.
In one embodiment, when determining that search term corresponds to multiple class categories, the user property class according to storage
It is not screened to obtain recommending classification.Illustratively, the number of users generated by the usage record of the terminal device to user
Include according to the user property classification analyzed：" body-building ", " basketball ", " coach " etc., the search term got are " tall
It is red " and " sieve C ", correspondingly, the corresponding class categories of search term respectively " basketball ", " sportswear ", " star " and " body-building ",
" football ", " luxury car ", by the way that screening is compared in the class categories of search term and class of subscriber, obtained recommendation classification is
" body-building ", " basketball ".
After determining search term corresponding recommendation classification, correspondingly, providing recommendation number to the user under the recommendation classification
According to, such as when it is " sieve C " to get search term, then recommending data is determined under " body-building " classification accordingly and recommends user,
User is recommended without generating recommending data under " football " or " star " classification.Specifically, determining search term in recommendation class
Under other when corresponding recommending data, the recommending data can be obtained by network search engines (as backstage search " sieve C " " body-building " is closed
Keyword obtains search result, and using the search result as recommending data), the recommending data collection that can also be safeguarded according to server
Close the recommending data for scanning for the selected search term got under the recommendation classification determined.
Data disaply moudle 104, for including recommending interface in search by the recommending data.
Wherein, recommending data is the data that user recommends user during scanning for, and in one embodiment, is used
Family can click directly on recommending data to scan for or download.Wherein, search recommends interface that user is supplied to scan for
Interface can be Webpage search interface, can also be that the interface that the application program of included function of search provides illustratively is used
Family can by search recommend interface input frame typing search for word, or click search recommend interface recommendation directly into
Row redirects.
In one embodiment, which can be that heat searches word, recommends search term or recommends application, wherein heat is searched
Word is the top search term of user's search, and it is the word of the search box pop-up displaying when user is in typing search term to recommend search term,
It can be that is shown recommend the application icon of user installation to recommend application.Correspondingly, can be, heat, which searches word and is shown in search, to be pushed away
The heat for recommending interface searches recommendation region, recommends search term to be shown in the recommendation search window of pop-up, the icon of application is recommended to search
Rope recommends the application at interface to recommend region scrolling display.
As shown in the above, after detecting user's typing search term, being determined according to the attribute classification of user itself should
The corresponding recommending data of search term improves user's search efficiency so that push away correspondingly, recommending search interface to be shown
The search content recommended is more in line with the search need of user.
In a possible embodiment, the screening module 102 is additionally operable to：
At least two class categories are screened to obtain in the user property classification according to storage and recommend class
Before not, the user data stored according to terminal device determines user property classification, wherein the user data includes that chat is believed
At least one of breath, Web browsing history information and audio and video playing information.
In a possible embodiment, the screening module 102 is specifically used for：
Class categories identical with the user property classification of storage at least two class categories are determined as recommending
Classification.
In a possible embodiment, described search word processing module 101 is additionally operable to：
Before the corresponding class categories of the determining described search word, according to the corresponding different search of different search data
As a result determine that the corresponding class categories of each search data generate category database and stored；
Described search word processing module 101 is specifically used for：
The corresponding class categories of described search word are determined according to described search word and the category database.
In a possible embodiment, described search word processing module 101 is additionally operable to：
It is described include receiving the update file that server is sent after interface is recommended in search by the recommending data,
The content preserved in the category database is updated according to the update file.
In a possible embodiment, the display module 104 is specifically used for：
It includes recommending the heat at interface to search in search to recommend region that the recommending data is searched word as heat；
Include popping up using the recommending data as search term is recommended when detecting that search term typing control is called
Recommendation search window in；
Corresponding recommendation application is determined according to the recommending data, and the icon for recommending application is recommended into interface in search
Application recommend region scrolling display.
In a possible embodiment, the display module 104 is specifically used for：
When detecting search events triggering, interface is recommended in pop-up search, and includes being searched described by the recommending data
Rope is recommended in interface.
The present embodiment provides a kind of terminal device on the basis of the various embodiments described above, and Fig. 9 is that the embodiment of the present application carries
The structural schematic diagram of a kind of terminal device supplied, as shown in figure 9, the terminal device 200 includes：Memory 201, processor
(Central Processing Unit, CPU) 202, Peripheral Interface 203, RF (Radio Frequency, radio frequency) circuit 205,
Voicefrequency circuit 206, loud speaker 211, power management chip 208, input/output (I/O) subsystem 209, touch screen 212, other
Input/control devices 210 and outside port 204, these components are led to by one or more communication bus or signal wire 207
Letter.
It should be understood that graphic terminal 200 is only an example of terminal device, and terminal device 200
Can have than shown in the drawings more or less component, can combine two or more components, or can be with
It is configured with different components.Various parts shown in the drawings can be including one or more signal processings and/or special
It is realized in the combination of hardware, software or hardware and software including integrated circuit.
Just the terminal device of the rights management provided in this embodiment for more opening application is described in detail below, should
Terminal device is by taking smart mobile phone as an example.
Memory 201, the memory 201 can be by access such as CPU202, Peripheral Interfaces 203, and the memory 201 can
Can also include nonvolatile memory to include high-speed random access memory, such as one or more disk memory,
Flush memory device or other volatile solid-state parts.
The peripheral hardware that outputs and inputs of equipment can be connected to CPU202 and deposited by Peripheral Interface 203, the Peripheral Interface 203
Reservoir 201.
I/O subsystems 209, the I/O subsystems 209 can be by the input/output peripherals in equipment, such as touch screen 212
With other input/control devicess 210, it is connected to Peripheral Interface 203.I/O subsystems 209 may include 2091 He of display controller
One or more input controllers 2092 for controlling other input/control devicess 210.Wherein, one or more input controls
Device 2092 processed receives electric signal from other input/control devicess 210 or sends electric signal to other input/control devicess 210,
Other input/control devicess 210 may include physical button (pressing button, rocker buttons etc.), dial, slide switch, behaviour
Vertical pole clicks idler wheel.It is worth noting that input controller 2092 can with it is following any one connect：Keyboard, infrared port,
The indicating equipment of USB interface and such as mouse.
Touch screen 212, the touch screen 212 are the input interface and output interface between user terminal and user, can
It is shown to user depending on output, visual output may include figure, text, icon, video etc..
Display controller 2091 in I/O subsystems 209 receives electric signal from touch screen 212 or is sent out to touch screen 212
Electric signals.Touch screen 212 detects the contact on touch screen, and the contact detected is converted to and is shown by display controller 2091
The interaction of user interface object on touch screen 212, that is, realize human-computer interaction, the user interface being shown on touch screen 212
Object can be the icon of running game, be networked to the icon etc. of corresponding network.It is worth noting that equipment can also include light
Mouse, light mouse are the extensions for the touch sensitive surface for not showing the touch sensitive surface visually exported, or formed by touch screen.
RF circuits 205 are mainly used for establishing the communication of mobile phone and wireless network (i.e. network side), realize mobile phone and wireless network
The data receiver of network and transmission.Such as transmitting-receiving short message, Email etc..Specifically, RF circuits 205 receive and send RF letters
Number, RF signals are also referred to as electromagnetic signal, and RF circuits 205 convert electrical signals to electromagnetic signal or electromagnetic signal is converted to telecommunications
Number, and communicated with communication network and other equipment by the electromagnetic signal.RF circuits 205 may include for executing
The known circuit of these functions comprising but it is not limited to antenna system, RF transceivers, one or more amplifiers, tuner, one
A or multiple oscillators, digital signal processor, CODEC (COder-DECoder, coder) chipset, user identifier mould
Block (Subscriber Identity Module, SIM) etc..
Voicefrequency circuit 206 is mainly used for receiving audio data from Peripheral Interface 203, which is converted to telecommunications
Number, and the electric signal is sent to loud speaker 211.
Loud speaker 211, the voice signal for receiving mobile phone from wireless network by RF circuits 205, is reduced to sound
And play the sound to user.
Power management chip 208, the hardware for being connected by CPU202, I/O subsystem and Peripheral Interface are powered
And power management.
The executable present invention of the search content recommendation device and terminal device of the terminal device provided in above-described embodiment appoints
The search content recommendation method of terminal device that meaning embodiment is provided has and executes the corresponding function module of this method and beneficial
Effect.The not technical detail of detailed description in the above-described embodiments, reference can be made to the terminal that any embodiment of the present invention is provided is set
Standby search content recommendation method.
The embodiment of the present application also provides a kind of storage medium including terminal device executable instruction, and the terminal device can
It executes instruction when being executed by terminal device processor for executing a kind of search content recommendation method, this method includes：
The search term in search input frame is obtained, determines the corresponding class categories of described search word；
When it includes at least two to determine the corresponding class categories of described search word, according to the user property classification of storage
At least two class categories are screened to obtain and recommend classification；
It determines described search word corresponding recommending data under the recommendation classification, includes searching for by the recommending data
Recommend interface.
In a possible embodiment, in the user property classification according to storage at least two classification class
It is not screened to obtain before recommending classification, further includes：
The user data stored according to terminal device determines user property classification, wherein the user data includes chat
At least one of information, Web browsing history information and audio and video playing information.
In a possible embodiment, the user property classification according to storage is at least two class categories
It is screened to obtain and recommends the classification to include：
Class categories identical with the user property classification of storage at least two class categories are determined as recommending
Classification.
In a possible embodiment, before the corresponding class categories of the determining described search word, further include：
Determine that the corresponding class categories of each search data generate according to the corresponding different search results of different search data
Category database is simultaneously stored；
Correspondingly, the corresponding class categories of the determining described search word include：
The corresponding class categories of described search word are determined according to described search word and the category database.
In a possible embodiment, include also wrapping after interface is recommended in search by the recommending data described
It includes：
The update file that server is sent is received, according to the update file to the content that is preserved in the category database
It is updated.
In a possible embodiment, it is described by the recommending data include search recommend interface include it is following at least
It is a kind of：
It includes recommending the heat at interface to search in search to recommend region that the recommending data is searched word as heat；
Include popping up using the recommending data as search term is recommended when detecting that search term typing control is called
Recommendation search window in；
Corresponding recommendation application is determined according to the recommending data, and the icon for recommending application is recommended into interface in search
Application recommend region scrolling display.
In a possible embodiment, it is described by the recommending data include search recommend interface include：
When detecting search events triggering, interface is recommended in pop-up search, and includes being searched described by the recommending data
Rope is recommended in interface.
Storage medium --- any various types of memory devices or storage device.Term " storage medium " is intended to wrap
It includes：Install medium, such as CD-ROM, floppy disk or magnetic tape equipment；Computer system memory or random access memory, such as
DRAM, DDR RAM, SRAM, EDO RAM, blue Bath (Rambus) RAM etc.；Nonvolatile memory, such as flash memory, magnetic medium
(such as hard disk or optical storage)；The memory component etc. of register or other similar types.Storage medium can further include other
Memory of type or combinations thereof.In addition, storage medium can be located at program in the first computer system being wherein performed,
Or can be located in different second computer systems, second computer system is connected to the by network (such as internet)
One computer system.Second computer system can provide program instruction to the first computer for executing." storage is situated between term
Matter " may include may reside in different location two of (such as in different computer systems by network connection) or
More storage mediums.Storage medium can store the program instruction that can be executed by one or more processors and (such as implement
For computer program).
Certainly, a kind of storage medium including computer executable instructions that the embodiment of the present application is provided, computer
The search content recommendation method operation that executable instruction is not limited to the described above, can also be performed any embodiment of the present invention and is carried
Relevant operation in the search content recommendation method of confession.
Note that above are only presently preferred embodiments of the present invention and institute's application technology principle.It will be appreciated by those skilled in the art that
The present invention is not limited to specific embodiments described here, can carry out for a person skilled in the art it is various it is apparent variation,
It readjusts and substitutes without departing from protection scope of the present invention.Therefore, although being carried out to the present invention by above example
It is described in further detail, but the present invention is not limited only to above example, without departing from the inventive concept, also
May include other more equivalent embodiments, and the scope of the present invention is determined by scope of the appended claims.
Claims (10)
1. searching for content recommendation method, which is characterized in that including：
The search term in search input frame is obtained, determines the corresponding class categories of described search word；
When it includes at least two to determine the corresponding class categories of described search word, according to the user property classification of storage to institute
It states at least two class categories and is screened to obtain and recommend classification；
It determines described search word corresponding recommending data under the recommendation classification, includes recommending in search by the recommending data
Interface.
2. according to the method described in claim 1, it is characterized in that, the user property classification according to storage to it is described extremely
Few two class categories are screened to obtain before recommending classification, further include：
According to terminal device store user data determine user property classification, wherein the user data include chat message,
At least one of Web browsing history information and audio and video playing information.
3. according to the method described in claim 2, it is characterized in that, the user property classification according to storage to it is described at least
Two class categories are screened to obtain recommendation classification：
Class categories identical with the user property classification of storage at least two class categories are determined as recommending classification.
4. method according to any one of claim 1-3, which is characterized in that corresponding in the determining described search word
Before class categories, further include：
Determine that the corresponding class categories of each search data generate classification according to the corresponding different search results of different search data
Database is simultaneously stored；
Correspondingly, the corresponding class categories of the determining described search word include：
The corresponding class categories of described search word are determined according to described search word and the category database.
5. according to the method described in claim 4, it is characterized in that, it is described by the recommending data include search recommend boundary
After face, further include：
The update file that server is sent is received, the content preserved in the category database is carried out according to the update file
Update.
6. according to the method described in claim 5, it is characterized in that, it is described by the recommending data include search recommend interface
Including following at least one：
It includes recommending the heat at interface to search in search to recommend region that the recommending data is searched word as heat；
Include pushing away in pop-up using the recommending data as search term is recommended when detecting that search term typing control is called
It recommends in search window；
Corresponding recommendation application is determined according to the recommending data, and the icon for recommending application is recommended into answering for interface in search
It is scrolled with region is recommended.
7. according to the method described in claim 5, it is characterized in that, it is described by the recommending data include search recommend interface
Including：
When detecting search events triggering, interface is recommended in pop-up search, and includes being pushed away in described search by the recommending data
It recommends in interface.
8. searching for content recommendation device, which is characterized in that including：
Search term processing module determines the corresponding class categories of described search word for obtaining the search term in search input frame；
Screening module, for when determine the corresponding class categories of described search word include at least two when, according to the use of storage
Family attribute classification is screened to obtain at least two class categories recommends classification；
Data determining module, for determining described search word corresponding recommending data under the recommendation classification；
Display module, for including recommending interface in search by the recommending data.
9. a kind of terminal device, including：Processor, memory and storage are on a memory and the meter that can run on a processor
Calculation machine program, which is characterized in that the processor is realized when executing the computer program such as any one of claim 1-7 institutes
The search content recommendation method stated.
10. a kind of storage medium including terminal device executable instruction, which is characterized in that the terminal device executable instruction
When being executed by terminal device processor for executing the search content recommendation method as described in any one of claim 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810586157.5A CN108763579B (en) | 2018-06-08 | 2018-06-08 | Search content recommendation method and device, terminal device and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810586157.5A CN108763579B (en) | 2018-06-08 | 2018-06-08 | Search content recommendation method and device, terminal device and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108763579A true CN108763579A (en) | 2018-11-06 |
| CN108763579B CN108763579B (en) | 2020-12-22 |
Family
ID=63999735
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810586157.5A Active CN108763579B (en) | 2018-06-08 | 2018-06-08 | Search content recommendation method and device, terminal device and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108763579B (en) |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109710088A (en) * | 2018-12-29 | 2019-05-03 | 北京金山安全软件有限公司 | Information searching method and device |
| CN109871483A (en) * | 2019-01-22 | 2019-06-11 | 珠海天燕科技有限公司 | A kind of determination method and device of recommendation information |
| CN109947522A (en) * | 2019-03-28 | 2019-06-28 | 北京小米移动软件有限公司 | Information displaying method, device, terminal, server and storage medium |
| CN110598133A (en) * | 2019-09-02 | 2019-12-20 | 北京字节跳动网络技术有限公司 | Method, apparatus, electronic device, and computer-readable storage medium for determining an order of search items |
| CN110990696A (en) * | 2019-11-25 | 2020-04-10 | 三角兽（北京）科技有限公司 | Method and device for recommending search intention |
| CN111324701A (en) * | 2020-02-24 | 2020-06-23 | 腾讯科技（深圳）有限公司 | Content supplement method, content supplement device, computer equipment and storage medium |
| CN111435371A (en) * | 2019-01-15 | 2020-07-21 | 百度在线网络技术（北京）有限公司 | Video recommendation method and system, computer program product and readable storage medium |
| CN111581481A (en) * | 2020-05-13 | 2020-08-25 | 北京达佳互联信息技术有限公司 | Search term recommendation method and device, electronic equipment and storage medium |
| CN111638834A (en) * | 2020-04-27 | 2020-09-08 | 维沃移动通信有限公司 | Content searching method and electronic equipment |
| CN111949788A (en) * | 2020-08-14 | 2020-11-17 | 中国工商银行股份有限公司 | Search method, search device, search system, and medium |
| CN113221030A (en) * | 2020-02-04 | 2021-08-06 | 北京搜狗科技发展有限公司 | Recommendation method, device and medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080104037A1 (en) * | 2004-04-07 | 2008-05-01 | Inquira, Inc. | Automated scheme for identifying user intent in real-time |
| CN102622417A (en) * | 2012-02-20 | 2012-08-01 | 北京搜狗信息服务有限公司 | Method and device for ordering information records |
| CN103678358A (en) * | 2012-09-13 | 2014-03-26 | 腾讯科技（深圳）有限公司 | Information search method and system |
| CN103810198A (en) * | 2012-11-09 | 2014-05-21 | 阿里巴巴集团控股有限公司 | Method and device for searching commodity information |
| CN103838754A (en) * | 2012-11-23 | 2014-06-04 | 腾讯科技（深圳）有限公司 | Information searching device and method |
| CN105426498A (en) * | 2015-11-24 | 2016-03-23 | 小米科技有限责任公司 | Cue word outputting method and device |
-
2018
- 2018-06-08 CN CN201810586157.5A patent/CN108763579B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080104037A1 (en) * | 2004-04-07 | 2008-05-01 | Inquira, Inc. | Automated scheme for identifying user intent in real-time |
| CN102622417A (en) * | 2012-02-20 | 2012-08-01 | 北京搜狗信息服务有限公司 | Method and device for ordering information records |
| CN103678358A (en) * | 2012-09-13 | 2014-03-26 | 腾讯科技（深圳）有限公司 | Information search method and system |
| CN103810198A (en) * | 2012-11-09 | 2014-05-21 | 阿里巴巴集团控股有限公司 | Method and device for searching commodity information |
| CN103838754A (en) * | 2012-11-23 | 2014-06-04 | 腾讯科技（深圳）有限公司 | Information searching device and method |
| CN105426498A (en) * | 2015-11-24 | 2016-03-23 | 小米科技有限责任公司 | Cue word outputting method and device |
Cited By (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109710088A (en) * | 2018-12-29 | 2019-05-03 | 北京金山安全软件有限公司 | Information searching method and device |
| CN111435371B (en) * | 2019-01-15 | 2023-08-11 | 百度在线网络技术（北京）有限公司 | Video recommendation method and system, computer program product and readable storage medium |
| CN111435371A (en) * | 2019-01-15 | 2020-07-21 | 百度在线网络技术（北京）有限公司 | Video recommendation method and system, computer program product and readable storage medium |
| CN109871483B (en) * | 2019-01-22 | 2020-10-23 | 珠海天燕科技有限公司 | Method and device for determining recommendation information |
| CN109871483A (en) * | 2019-01-22 | 2019-06-11 | 珠海天燕科技有限公司 | A kind of determination method and device of recommendation information |
| CN109947522A (en) * | 2019-03-28 | 2019-06-28 | 北京小米移动软件有限公司 | Information displaying method, device, terminal, server and storage medium |
| CN109947522B (en) * | 2019-03-28 | 2022-09-02 | 北京小米移动软件有限公司 | Information display method, device, terminal, server and storage medium |
| CN110598133A (en) * | 2019-09-02 | 2019-12-20 | 北京字节跳动网络技术有限公司 | Method, apparatus, electronic device, and computer-readable storage medium for determining an order of search items |
| CN110990696A (en) * | 2019-11-25 | 2020-04-10 | 三角兽（北京）科技有限公司 | Method and device for recommending search intention |
| CN110990696B (en) * | 2019-11-25 | 2023-04-14 | 腾讯科技（深圳）有限公司 | Method and device for recommending search intention |
| CN113221030A (en) * | 2020-02-04 | 2021-08-06 | 北京搜狗科技发展有限公司 | Recommendation method, device and medium |
| CN111324701B (en) * | 2020-02-24 | 2023-04-07 | 腾讯科技（深圳）有限公司 | Content supplement method, content supplement device, computer equipment and storage medium |
| CN111324701A (en) * | 2020-02-24 | 2020-06-23 | 腾讯科技（深圳）有限公司 | Content supplement method, content supplement device, computer equipment and storage medium |
| CN111638834A (en) * | 2020-04-27 | 2020-09-08 | 维沃移动通信有限公司 | Content searching method and electronic equipment |
| CN111581481A (en) * | 2020-05-13 | 2020-08-25 | 北京达佳互联信息技术有限公司 | Search term recommendation method and device, electronic equipment and storage medium |
| CN111581481B (en) * | 2020-05-13 | 2024-03-08 | 北京达佳互联信息技术有限公司 | Search term recommendation method and device, electronic equipment and storage medium |
| CN111949788A (en) * | 2020-08-14 | 2020-11-17 | 中国工商银行股份有限公司 | Search method, search device, search system, and medium |
| CN111949788B (en) * | 2020-08-14 | 2024-03-19 | 中国工商银行股份有限公司 | Search method, search device, search system and medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108763579B (en) | 2020-12-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108763579A (en) | Search for content recommendation method, device, terminal device and storage medium | |
| CN110472145B (en) | Content recommendation method and electronic equipment | |
| CN103403705B (en) | Loading a mobile computing device with media files | |
| CN108920515B (en) | Information recommendation method, device, equipment and storage medium for webpage display process | |
| CN107329743A (en) | Methods of exhibiting, device and the storage medium of five application page | |
| US9622016B2 (en) | Invisiblemask: a tangible mechanism to enhance mobile device smartness | |
| CN106855771A (en) | A kind of data processing method, device and intelligent terminal | |
| CN108984073A (en) | A kind of searched page display methods, device, terminal and storage medium | |
| CN109657236B (en) | Guidance information acquisition method, apparatus, electronic apparatus, and storage medium | |
| CN108363792A (en) | Link generation method, device, storage medium and the electronic equipment of five application page | |
| CN102929926A (en) | Word-taking search method and device based on browsed contents | |
| CN107291962A (en) | searching method, device, storage medium and electronic equipment | |
| CN110989847B (en) | Information recommendation method, device, terminal equipment and storage medium | |
| CN107678823A (en) | Control method, device and the storage medium and mobile terminal of mobile terminal application | |
| CN110381204B (en) | Information display method, mobile terminal and computer readable storage medium | |
| CN102945243A (en) | Contact information identification method based on browsing contents | |
| CN108874939A (en) | A kind of information search method and device | |
| US20220391058A1 (en) | Interaction information processing method and apparatus, electronic device and storage medium | |
| CN111078986A (en) | Data retrieval method, device and computer readable storage medium | |
| CN107358233A (en) | Information acquisition method and device | |
| CN109656444A (en) | List localization method, device, equipment and storage medium | |
| CN107526740A (en) | A kind of method and electronic equipment for showing search result | |
| CN108897785A (en) | Search for content recommendation method, device, terminal device and storage medium | |
| CN109190076A (en) | Page collecting method, device, storage medium and electronic equipment | |
| CN108595107B (en) | Interface content processing method and mobile terminal |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |