CN104050179A - Searching optimization system and method - Google Patents
Searching optimization system and method Download PDFInfo
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- CN104050179A CN104050179A CN201310079387.XA CN201310079387A CN104050179A CN 104050179 A CN104050179 A CN 104050179A CN 201310079387 A CN201310079387 A CN 201310079387A CN 104050179 A CN104050179 A CN 104050179A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/955—Retrieval from the web using information identifiers, e.g. uniform resource locators [URL]
Abstract
The invention relates to a searching optimization system applied to an electronic device. The electronic device comprises a storage device for storing multiple user information; the user information contain a primitive character value of the face of a user and first and second concerned parameters reflecting searching preference; the system comprises a receiving module, an identifying module, a judging module, a searching module and a sending module; all the modules can be utilized to receive a present searching keyword and acquire an image of the user; the primitive character value of the face can be confirmed; when the primitive character value of the face is matched with a set of original characteristic values, the corresponding first or second concerned parameter is confirmed; obtained searching results are ranked according to the first or second concerned parameter; the ranked searching results are sent to the user. The invention also provides a searching optimization method. The searching optimization method can be utilized to optimize the searching results.
Description
Technical field
The present invention relates to search technique, relate in particular to a kind of search optimization system and method.
Background technology
Search the information that plain technology can help user to find oneself from huge quantity of information to need, but along with the development of search technique, the quantity of the relevant information that obtains of search is also more and more.Therefore, although current search technique can be fed back relevant information according to the search key of user's input, but but cannot screen Search Results according to user's individual demand, user often can only oneself check that Search Results determines which information is own interested one by one or page by page.Visible, current search technique cannot be screened real user interested search data or sort to present to according to user's individual demand user and fast be checked.
Summary of the invention
In view of above content, be necessary to provide a kind of search optimization system and method, can realize the optimization to Search Results according to the analysis of the daily search custom to user.
A kind of search optimization method, be applied to electronic installation, described electronic installation comprises memory storage, described memory storage is used for storing multiple user profile, described user profile comprise user's face primitive character value, reflection user search hobby first pay close attention to parameter and reflect this user place class of subscriber search preferences second pay close attention to parameter, the method comprises: receive the current search key word of user's input, and obtain user's image; From the image obtaining, identify face characteristic, and determine corresponding face characteristic value; When one group of primitive character value in this definite face characteristic value and described memory storage matches, determine the first concern parameter or the second concern parameter that this group primitive character value is corresponding; Obtain Search Results according to described current search key word; Paying close attention to parameter according to described the first concern parameter or second sorts to obtained Search Results; And send the Search Results after sequence to user.
A kind of search optimization system, be applied to electronic installation, described electronic installation comprises memory storage, described memory storage is used for storing multiple user profile, described user profile comprise user's face primitive character value, reflection user search hobby first pay close attention to parameter and reflect this user place class of subscriber search preferences second pay close attention to parameter, this system comprises: receiver module, for receiving the current search key word of user's input, and obtains user's image; Identification module, for identifying face characteristic from the image obtaining, and determines corresponding face characteristic value; Judge module, in the time that one group of primitive character value of this definite face characteristic value and described memory storage matches, determines the first concern parameter or the second concern parameter that this group primitive character value is corresponding; Search module, for obtaining Search Results according to described current search key word, and pays close attention to parameter according to described the first concern parameter or second obtained Search Results is sorted; And sending module, for sending the Search Results after sequence to user.
Compared to prior art, described search optimization system and method, can realize the optimization to Search Results according to the analysis of the daily search custom to user, and user can obtain the search data that meets personal interest hobby without the troublesome operation of registering login.
Brief description of the drawings
Fig. 1 is the running environment figure that the present invention searches for the first embodiment of optimization system.
Fig. 2 is the hardware structure figure that the present invention searches for the first embodiment of optimization system.
Fig. 3 is the hardware structure figure that the present invention searches for the second embodiment of optimization system.
Fig. 4 is the functional block diagram that the present invention searches for the preferred embodiments of optimization system.
Fig. 5 is the user record schematic diagram that the present invention searches for optimization system.
Fig. 6 is the user record visioning procedure figure of the present invention's preferred embodiments of searching for optimization method.
Fig. 7 is the process flow diagram that the present invention searches for the preferred embodiments of optimization method.
Fig. 8 is the refinement process flow diagram of step S32 in the process flow diagram of the present invention's preferred embodiments of searching for optimization method.
Main element symbol description
| Server | 1 |
| Search optimization system | 10 |
| Receiver module | 100 |
| Identification module | 101 |
| Creation module | 102 |
| Analysis module | 103 |
| Logging modle | 104 |
| Judge module | 105 |
| Search module | 106 |
| Sending module | 107 |
| Sort module | 108 |
| Collection module | 109 |
| Processor | 11 |
| Memory storage | 12 |
| Electronic installation | 2 |
| Filming apparatus | 20 |
| Processor | 21 |
| Memory storage | 22 |
| Network | 3 |
Following embodiment further illustrates the present invention in connection with above-mentioned accompanying drawing.
Embodiment
As shown in Figure 1, be the running environment figure that the present invention searches for the first embodiment of optimization system.As shown in Figure 2, be the hardware structure figure that the present invention searches for the first embodiment of optimization system.Below describe in conjunction with Fig. 1, Fig. 2.
Described search optimization system 10 is applied in server 1, and described server 1 can be the device such as computing machine, main frame.Multiple users can visit described search optimization system 10 by electronic installation 2 and being connected of network 3, realize the search to information and the optimization process to Search Results.Described electronic installation 2 can be the devices such as mobile phone, computing machine, notebook computer, personal digital assistant, panel computer.Described network 3 can be internet (Internet) or in-house network (Intranet).
Described search optimization system 10 is for receiving user's search key, identify user's identity according to the user's who obtains face feature, set up the user record for user search hobby, and according to the relevant personalizing parameters in this user record, Search Results is optimized to processing, thereby presents to user and check meeting the required personalized search results of user.Described user search hobby is that details will below be specifically described according to user's historical search is analyzed and obtained.
Described electronic installation 2 comprises filming apparatus 20, and in order to take user's image, the image of face of especially taking user carries out follow-up identification to obtain face feature.Described filming apparatus 20 can be camera, can be also IP Camera (Webcam).Described filming apparatus 20 can be built in described electronic installation 2, also can be external in described electronic installation 2.
Described server 1 comprises processor 11 and memory storage 12.Described processor 11 such as, for carrying out all kinds of softwares of described search optimization system 10 and the 1 interior installation of described server, operating system etc.Described memory storage 12 can be hard disk, or the storage card of other types or memory device.Described memory storage 12 is for storing Various types of data, for example, and the information such as file, image, Operation Log.
As shown in Figure 3, be the hardware structure figure that the present invention searches for the second embodiment of optimization system.Described search optimization system 10 can be directly installed in described user's electronic installation 2, is optimized processing to realize the Search Results that server 1 is passed back, and directly in described electronic installation 2, presents the Search Results after this optimization.In addition, described electronic installation 2 at least comprises processor 21 and memory storage 22.
Below describe as an example of the second embodiment example.
As shown in Figure 4, be the functional block diagram that the present invention searches for the preferred embodiments of optimization system.In the present embodiment, described search optimization system 10 comprises multiple functional modules, respectively: receiver module 100, identification module 101, creation module 102, analysis module 103 logging modles 104, judge module 105, search module 106 and sending module 107.
Described search optimization system 10 can be identified according to user's face feature search preferences or the custom of user recording user, therefore, before utilizing described search optimization system 10 to realize Search Results is optimized, first need to create user record, for the correlation parameter of recording user attribute information and reflection user search hobby.
Described receiver module 100, for receiving the current search key word of user's input, and utilizes described filming apparatus 20 to obtain user's image.In the time utilizing described filming apparatus 20 filmed image, can directly control described filming apparatus 20 with default order starts and takes, also can send request prompting to determine whether user agrees to take, and in the time that definite user agrees to, start described filming apparatus 20 and take.
In addition, if the hardware structure of described search optimization system 10 is the framework in the first embodiment, so, described receiver module 100 is in the time receiving current search key word, the electronic installation 2 that can send order control user is taken user's image, or send request instruction query user and whether agree to open described filming apparatus 20 and take, and in the time that definite user agrees to, utilize described filming apparatus 20 to take user image, and described image is sent to described receiver module 100.
Described identification module 101, for identifying face characteristic from the image obtaining, and determines corresponding face characteristic value.Described identification module 101 can be by carrying out pre-service, the detection of carrying out face and location, face being cut apart with normalization and extracted face characteristic to image.
Described face characteristic value can be the eigenwert of each feature of face, eigenwert, the contour feature value etc. of such as face.Described identification module 101 can adopt existing face identification method identify the face characteristic in image and determine face characteristic value.
Described creation module 102, in the newly-built user record of described memory storage 12, and primitive character value using this definite eigenwert as this user deposits the user record in described memory storage 12 in.
Described identification module 101, also for according to the attribute information of described primitive character value analysis user.Described attribute information can comprise by described primitive character value analysis definite user's the attribute such as sex, age afterwards.Described age attribute can be age interval, can be also the stage of living at age, for example, juvenile, young, middle aged, old etc.Utilize the identification of the attribute information to user automatically, can reduce the manual input of customer-side, and automatically be judged by described search optimization system 10.
In other embodiment, described receiver module 100 also can directly receive user input these attribute informations and without identifying.
Described search module 106, for obtaining Search Results according to described current search key word.Described Search Results comprises the file that multiple search obtain, and this file can be the information such as the file, image, video of web page files or extended formatting, and this file is opened by the mode of link.
Described analysis module 103, for obtaining user's current search key word, (for example determine the corresponding clicked file of this current search key, the corresponding file of clicked link), from this clicked file, seize one or more file characteristics, and this current search key is stored as to historical key word, and using this history key word and the file characteristic seized as the first concern parameter.
Described file characteristic can be core vocabulary the most frequently used in natural language technical field, for example, can store a core vocabulary dictionary that can upgrade at any time etc.
For example, pay close attention to parameter with reference to first in user record schematic diagram as shown in Figure 5, when historical key word is flower, the file characteristic of seizing is " rose ", and when historical key word is " novel ", the file characteristic of seizing is " science fiction, reasoning " etc.
Have when multiple at seized file characteristic, described analysis module 103 also sorts to seized file characteristic for the frequency occurring at corresponding clicked file according to described file characteristic.
Described logging modle 104, for paying close attention to Parameter storage in the newly-built user record of described memory storage 12 by this attribute information and first.
By the function of above-mentioned module, can realize the foundation of multiple user records to follow-up user identity is identified.
In addition, in other embodiments, described search optimization system 10 also comprises sort module 108 and collection module 109.
Described sort module 108, for classifying to all users in described memory storage 12 according to one or more parameters of attribute information.For example, according to age bracket classification, or according to sex, user is classified.In the present embodiment, user being classified is in order to obtain reference data from generic user's search preferences.
Described collection module 109, for collecting the each user's of similar user historical key word and corresponding file characteristic, and using the historical key word of this collection and file characteristic as the second concern Parameter storage to such user in each user's user record.For example, in the user record with reference to the party A-subscriber shown in figure 5, both comprised the first concern parameter of personal search hobby for this user's search preferences, also comprised that second of the similar user search hobby of reflection paid close attention to parameter.
Mentioned above first pays close attention to parameter or second pays close attention to that parameter comprises respectively one or more groups historical key word and the combination of the file characteristic seized.
According to different demands, in different embodiments, this second concern parameter can comprise, also can not comprise the first information of paying close attention in parameter of user.
Stored multiple user records in described memory storage 12 after, below introduce modules and how Search Results is sorted.
As described above, first, described receiver module 100 receives the current search key word of user's input, and obtains user's image; Described identification module 101 identifies face characteristic from the image obtaining, and determines corresponding face characteristic value.
Described judge module 105, for judging whether this definite face characteristic value matches with one group of primitive character value of described memory storage 12.In the time that whether judging characteristic value mates, described judge module 105 can judge according to pre-set threshold value, for example, in the time that similarity degree reaches pre-set threshold value 95%, can judge that described two stack features values match.
When the one group primitive character value of described judge module 105 in this definite face characteristic value and described memory storage 12 matches, determine the first concern parameter or the second concern parameter that this group primitive character value is corresponding.
Described search module 106, for obtaining Search Results according to described current search key word, and pays close attention to parameter according to described the first concern parameter or second obtained Search Results is sorted.Described search module 106 can sort to obtained Search Results according to following mode.
Whether described search module 106 judges in described the first concern parameter or the second concern parameter has and the same or analogous historical key word of described current search key word.For example, described search module 106 can be determined same or analogous historical key word according to technology such as potential lexical analysis LSA.
If there is same or analogous historical key word, described search module 106 obtains file characteristic corresponding to this same or analogous historical key word, and according to obtained file characteristic, Search Results is sorted.
Particularly, in the time that obtained file characteristic is one, the frequency that described search module 106 occurs in search file according to this file characteristic sorts to Search Results; When obtained file characteristic is while being multiple, described search module 106 can be determined the sequence of obtained file characteristic, the frequency occurring in search file according to the file characteristic of sequence first sorts to Search Results, or the quantity of the file characteristic possessing according to the search file in Search Results sorts to Search Results.
Described sending module 107, for sending the Search Results after sequence to user.
In the time that described memory storage 12 matches without primitive character value and this definite eigenwert, as described above, described creation module 102 is newly-built user record in described memory storage 12, and primitive character value using this definite eigenwert as this user deposits in this newly-built user record.
In the present embodiment, after described search module 106 completes the optimization process of Search Results, described logging modle 104 can be stored as historical key word by the current search key word of this search, and the file characteristic in file clicked in this search is collected to be stored to this user's first and pay close attention in parameter.
As shown in Figure 6, be the user record visioning procedure figure of the present invention's preferred embodiments of searching for optimization method.First, step S2, described receiver module 100 receives the current search key word of user's input, and utilizes described filming apparatus 20 to obtain user's image.
Step S4, described identification module 101 identifies face characteristic from the image obtaining, and determines corresponding face characteristic value.
Step S6, described creation module 102 is newly-built user record in described memory storage 12, and primitive character value using this definite eigenwert as this user deposits the user record in described memory storage 12 in.
Step S8, described identification module 101 is according to the attribute information of described primitive character value analysis user.Described attribute information can comprise by described primitive character value analysis definite user's the attribute such as sex, age afterwards.
Step S10, described search module 106 obtains Search Results according to described current search key word, described analysis module 103 obtains user's current search key word, determines the corresponding clicked file of this current search key (for example, the corresponding file of clicked link).
Step S12, described analysis module 103 is seized one or more file characteristics from this clicked file, and this current search key is stored as to historical key word.
Step S14, described analysis module 103 is using this history key word and the file characteristic seized as the first concern parameter.
Step S16, described logging modle 104 is paid close attention to Parameter storage to user record newly-built in described memory storage 12 by this attribute information and first.Then, process ends.
As shown in Figure 7, be the process flow diagram that the present invention searches for the preferred embodiments of optimization method.
Step S20, described receiver module 100 receives the current search key word of user's input, and obtains user's image.
Step S22, described identification module 101 identifies face characteristic from the image obtaining, and determines corresponding face characteristic value.
Step S24, described judge module 105 judge this definite face characteristic value whether with described memory storage 12 in one group of primitive character value match.
In the time that this definite face characteristic value is neither mated with all primitive character values in described memory storage 12, in step S26, described creation module 102 creates new user record according to this definite face characteristic value, then, and process ends.The process of this establishment can be with reference to process flow diagram as shown in Figure 6.
When one group of primitive character value in this definite face characteristic value and described memory storage 12 matches, in step S28, described judge module 105 is determined the first concern parameter or the second concern parameter that this group primitive character value is corresponding.
Step S30, described search module 106 obtains Search Results according to described current search key word.
Step S32, described search module 106 pays close attention to parameter according to described first or the second concern parameter sorts to obtained Search Results, and refinement step can be with reference to process flow diagram as shown in 8.
Step S34, described sending module 107 sends the Search Results after sequence to user, then, process ends.
As shown in Figure 8, be the refinement process flow diagram of step S32 in the process flow diagram of the present invention's preferred embodiments of searching for optimization method.
First, step S320, whether described search module 106 judges in described the first concern parameter or the second concern parameter has and the same or analogous historical key word of described current search key word.For example, described search module 106 can be determined same or analogous historical key word according to technology such as potential lexical analysis LSA.
In the time not there is not same or analogous historical key word, described search module 106 can screen Search Results according to existing mode or sort, then, and process ends.
In the time there is same or analogous historical key word, in step S322, described search module 106 obtains file characteristic corresponding to this same or analogous historical key word.
Step S324, described search module 106 sorts to Search Results according to obtained file characteristic, then, process ends.Particularly, in the time that obtained file characteristic is one, the frequency that described search module 106 occurs in search file according to this file characteristic sorts to Search Results; When obtained file characteristic is while being multiple, described search module 106 can be determined the sequence of obtained file characteristic, the frequency occurring in search file according to the file characteristic of sequence first sorts to Search Results, or the quantity of the file characteristic possessing according to the search file in Search Results sorts to Search Results.
Above embodiment is only unrestricted in order to technical scheme of the present invention to be described, although the present invention is had been described in detail with reference to above preferred embodiments, those of ordinary skill in the art should be appreciated that and can modify or be equal to the spirit and scope that replacement should not depart from technical solution of the present invention technical scheme of the present invention.
Claims (13)
1. a search optimization method, be applied to electronic installation, described electronic installation comprises memory storage, it is characterized in that, described memory storage is used for storing multiple user profile, described user profile comprise user's face primitive character value, reflection user search hobby first pay close attention to parameter and reflect this user place class of subscriber search preferences second pay close attention to parameter, the method comprises:
Receive the current search key word of user's input, and obtain user's image;
From the image obtaining, identify face characteristic, and determine corresponding face characteristic value;
When one group of primitive character value in this definite face characteristic value and described memory storage matches, determine the first concern parameter or the second concern parameter that this group primitive character value is corresponding;
Obtain Search Results according to described current search key word;
Paying close attention to parameter according to described the first concern parameter or second sorts to obtained Search Results; And
Send the Search Results after sequence to user.
2. search optimization method as claimed in claim 1, is characterized in that, the method also comprises:
In the time that described memory storage matches without primitive character value and this definite eigenwert, newly-built user record in described memory storage, and primitive character value using this definite eigenwert as this user deposits described memory storage in;
According to the attribute information of described primitive character value analysis user;
Obtain user's current search key word, determine the corresponding clicked file of this current search key, from this clicked file, seize one or more file characteristics, and this current search key is stored as to historical key word, and using this history key word and the file characteristic seized as the first concern parameter; And
This attribute information and first is paid close attention to Parameter storage to this newly-built user record.
3. search optimization method as claimed in claim 2, is characterized in that, the method also comprises:
Have when multiple at seized file characteristic, the frequency occurring in corresponding clicked file according to described file characteristic sorts to seized file characteristic.
4. search optimization method as claimed in claim 1, is characterized in that, the second described concern parameter is obtained as follows:
According to the one or more parameters in attribute information, all users in described memory storage are classified; And
Collect the historical key word of each user in similar user and corresponding file characteristic, and using the historical key word of this collection and file characteristic as the second concern Parameter storage to such user in each user's user record.
5. the search optimization method as described in any one in claim 2 to 4, is characterized in that, described first pays close attention to parameter or second pays close attention to that parameter comprises respectively one or more groups historical key word and the combination of the file characteristic seized.
6. the search optimization method as described in any one in claim 1 to 4, is characterized in that, described attribute information comprises user's sex and the age.
7. the search optimization method as described in any one in claim 2 to 4, is characterized in that, described pay close attention to parameter or second according to described first and pays close attention to the step that parameter sorts to obtained Search Results and comprise:
Judge in described the first concern parameter or the second concern parameter and whether have and the same or analogous historical key word of described current search key word;
If there is same or analogous historical key word, obtain file characteristic corresponding to this same or analogous historical key word; And
According to obtained file characteristic, Search Results is sorted.
8. search optimization method as claimed in claim 7, is characterized in that, described pay close attention to parameter or second according to described first and pays close attention to the step that parameter sorts to obtained Search Results and also comprise:
In the time that obtained file characteristic is one, the frequency occurring in search file according to this file characteristic sorts to Search Results; Or
When obtained file characteristic is while being multiple:
Determine the sequence of the file characteristic obtaining, the frequency occurring in search file according to the file characteristic of sequence first sorts to Search Results; Or
The quantity of the file characteristic possessing according to the search file in Search Results sorts to Search Results.
9. a search optimization system, be applied to electronic installation, described electronic installation comprises memory storage, it is characterized in that, described memory storage is used for storing multiple user profile, described user profile comprise user's face primitive character value, reflection user search hobby first pay close attention to parameter and reflect this user place class of subscriber search preferences second pay close attention to parameter, this system comprises:
Receiver module, for receiving the current search key word of user's input, and obtains user's image;
Identification module, for identifying face characteristic from the image obtaining, and determines corresponding face characteristic value;
Judge module, in the time that one group of primitive character value of this definite face characteristic value and described memory storage matches, determines the first concern parameter or the second concern parameter that this group primitive character value is corresponding;
Search module, for obtaining Search Results according to described current search key word, and pays close attention to parameter according to described the first concern parameter or second obtained Search Results is sorted; And
Sending module, for sending the Search Results after sequence to user.
10. search optimization system as claimed in claim 9, is characterized in that, this system also comprises:
Creation module, in the time that described memory storage matches without primitive character value and this definite eigenwert, newly-built user record in described memory storage, and primitive character value using this definite eigenwert as this user deposits described memory storage in;
Described identification module, also for according to the attribute information of described primitive character value analysis user;
Analysis module, for obtaining user's current search key word, determine the corresponding clicked file of this current search key, from this clicked file, seize one or more file characteristics, and this current search key is stored as to historical key word, and using this history key word and the file characteristic seized as the first concern parameter; And
Logging modle, also for paying close attention to Parameter storage to this newly-built user record by this attribute information and first.
11. search optimization system as claimed in claim 9, is characterized in that, this system also comprises:
Sort module, for classifying to all users in described memory storage according to one or more parameters of attribute information; And
Collection module, for collecting the each user's of similar user historical key word and corresponding file characteristic, and using the historical key word of this collection and file characteristic as the second concern Parameter storage to such user in each user's user record.
12. search optimization system as claimed in claim 9, is characterized in that, described identification module is by carrying out pre-service, the detection of carrying out face and location, face being cut apart with normalization and realized extraction face characteristic to image.
13. search optimization system as claimed in claim 9, is characterized in that, described search module sorts to obtained Search Results according to following mode:
Judge in described the first concern parameter or the second concern parameter and whether have and the same or analogous historical key word of described current search key word;
If there is same or analogous historical key word, obtain file characteristic corresponding to this same or analogous historical key word; And
According to obtained file characteristic, Search Results is sorted.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105095372A (en) * | 2015-06-30 | 2015-11-25 | 小米科技有限责任公司 | Method and apparatus for obtaining search result |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060004711A1 (en) * | 2004-06-30 | 2006-01-05 | Microsoft Corporation | System and method for ranking search results based on tracked user preferences |
| CN101329674A (en) * | 2007-06-18 | 2008-12-24 | 北京搜狗科技发展有限公司 | System and method for providing personalized searching |
| CN101334796A (en) * | 2008-02-29 | 2008-12-31 | 浙江师范大学 | Personalized and synergistic integration network multimedia search and enquiry method |
-
2013
- 2013-03-13 CN CN201310079387.XA patent/CN104050179A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060004711A1 (en) * | 2004-06-30 | 2006-01-05 | Microsoft Corporation | System and method for ranking search results based on tracked user preferences |
| CN101329674A (en) * | 2007-06-18 | 2008-12-24 | 北京搜狗科技发展有限公司 | System and method for providing personalized searching |
| CN101334796A (en) * | 2008-02-29 | 2008-12-31 | 浙江师范大学 | Personalized and synergistic integration network multimedia search and enquiry method |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105095372A (en) * | 2015-06-30 | 2015-11-25 | 小米科技有限责任公司 | Method and apparatus for obtaining search result |
| WO2017000486A1 (en) * | 2015-06-30 | 2017-01-05 | 小米科技有限责任公司 | Method and device for obtaining search results |
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