CN104978359B - A kind of information aggregation method and system - Google Patents
A kind of information aggregation method and system Download PDFInfo
- Publication number
- CN104978359B CN104978359B CN201410144498.9A CN201410144498A CN104978359B CN 104978359 B CN104978359 B CN 104978359B CN 201410144498 A CN201410144498 A CN 201410144498A CN 104978359 B CN104978359 B CN 104978359B
- Authority
- CN
- China
- Prior art keywords
- information
- website
- data
- library
- aggregation
- 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.)
- Active
Links
Landscapes
- Information Transfer Between Computers (AREA)
Abstract
The present invention discloses a kind of information aggregation method and system, wherein method includes step:The information base data of multiple websites is captured, and a weighted value is configured for each website;Duplicate removal processing is carried out to the information base data of each website, by the information filtering of identical content in the data of each site information library, only retains the information of the wherein one highest website of weighted value;The information base data after each website duplicate removal processing is rearranged by the information sorting in information bank;Each website is ranked up according to weight size, then the information being arranged in front is extracted from the information base data of each website successively according to website sequence, forms the aggregation information library for including predetermined information quantity.Method through the invention, information fusion can more really reflect the temperature of each information, and combine the weight of each website, and together by the data fusion in each site information library, the data obtained are more true, accurate.
Description
Technical field
The present invention relates to information fusion field more particularly to a kind of information aggregation methods and system.
Background technology
In the prior art, polymerization site can capture the content of multiple and different websites, be supplied to user to use after polymerization.Example
Such as, video website can all have the ranking list of various types video, to allow user to understand most hot video content, and video website
The number typically watched by each video(Hits)Sequence, to obtain the ranking list of most thermovision frequency, polymeric network
It stands, the ranking list data aggregate of these video websites can be formed new ranking list together, user is supplied to use.
But by taking video website as an example, existing polymerization site has the following problems:Because crawl is different video website
Ranking list data, and the number of users of different video website is mostly in a radix, so the video of each website is seen
Number is seen also mostly not in a radix, if so polymerization site by the ranking list of each video website directly crawl come to use,
It can not then reflect the true temperature of each video.
Therefore, the existing technology needs to be improved and developed.
Invention content
In view of above-mentioned deficiencies of the prior art, the purpose of the present invention is to provide a kind of information aggregation method and system, purports
In the temperature for solving the problems, such as that existing information aggregation method can not really reflect information.
Technical scheme is as follows:
A kind of information aggregation method, wherein including step:
A, the information base data of multiple websites is captured, and a weighted value is configured for each website;
B, duplicate removal processing is carried out to the information base data of each website, by the information of identical content in the data of each site information library
Filtering only retains the information of the wherein one highest website of weighted value;
C, the information base data after each website duplicate removal processing is rearranged by the information sorting in information bank;
D, each website is ranked up according to weight size, is then sorted successively from the information bank number of each website according to website
According to the middle information for extracting and being arranged in front, the aggregation information library for including predetermined information quantity is formed.
The information aggregation method, wherein the step D is specifically included:
D1, information content T in aggregation information library is pre-set;
Average information the quantity X, X=T/N, N that D2, calculating need to be extracted from the information bank of each website are the number of website;
D3, it judges whether there is the information content for including in information base data and step D4 is transferred to, when no when being less than X
When, it is transferred to step D5;
D4, the information being arranged in front is extracted from the information base data of each website one by one according to website sequence, and will made a turn
Information bank reject, then proceed to extract the information that is arranged in front from each website one by one according to website sequence, until being drawn into T items
Information;
D5, the information being arranged in front is extracted from the information base data of each website one by one according to website sequence, until extracting
To T information;
D6, T information is ranked up according to the sequence of extraction, forms aggregation information library.
The information aggregation method, wherein the website is multimedia web site, and described information is multimedia messages.
The information aggregation method, wherein be that each website is matched according to the number of users of each website in the step A
Set a weighted value.
The information aggregation method, wherein the step B is specifically included:
The title of each information in the data of each site information library is compared, the information filtering of same names is fallen,
Only retain the information of the wherein one highest website of weighted value.
The information aggregation method, wherein in the step C, in the site information library data by duplicate removal, filtered
The information fallen is filled by subsequent information successively, forms the information bank after rearranging.
A kind of information aggregation system, wherein including:
Handling module, the information base data for capturing multiple websites, and configure a weighted value for each website;
Deduplication module carries out duplicate removal processing, by phase in the data of each site information library for the information base data to each website
With the information filtering of content, only retain the information of the wherein one highest website of weighted value;
Reordering module, for pressing the information sorting in information bank by the site information library data after each website duplicate removal processing
It is rearranged;
Then aggregation module sorts according to website successively from each net for each website to be ranked up according to weight size
The information being arranged in front is extracted in the information base data stood, and forms the aggregation information library for including predetermined information quantity.
The information aggregation system, wherein the aggregation module specifically includes:
Number setting unit, for pre-setting the information content T in aggregation information library;
Average information amount calculation unit, for calculating the average information quantity that need to be extracted from the information bank of each website
X, X=T/N, N are the number of website;
Judging unit is pressed less than X when being for judging whether there is the information content for including in the data of site information library
The information being arranged in front is extracted from the information base data of each website one by one according to website sequence, and the information bank made a turn is rejected,
It then proceedes to extract the information being arranged in front from each website one by one according to website sequence, until it is drawn into T information, when no,
The information being arranged in front is extracted from the information base data of each website one by one according to website sequence, until being drawn into T information;
Sequencing unit is ranked up T information for the sequence according to extraction, forms aggregation information library.
The information aggregation system, wherein the website is multimedia web site, and described information is multimedia messages.
The information aggregation system, wherein the deduplication module is used to believe each item in the data of each site information library
The title of breath is compared, and the information filtering of same names is fallen, and only retains the information of the wherein one highest website of weighted value.
Advantageous effect:The present invention carries out duplicate removal processing by the information base data to each website so that duplicate message is picked
It removes, and one weighted value is set for each website, the information being arranged in front is extracted from each website according to weight size, to be formed
Aggregation information library, method through the invention, information fusion can more really reflect the temperature of each information, and combine each net
The weight stood, together by the data fusion in each site information library, the data obtained are more true, accurate.
Description of the drawings
Fig. 1 is a kind of flow chart of information aggregation method preferred embodiment of the present invention.
Fig. 2 is the particular flow sheet of step S104 in method preferred embodiment shown in Fig. 1.
Fig. 3 is a kind of structure diagram of information aggregation system preferred embodiment of the present invention.
Fig. 4 is the concrete structure block diagram of aggregation module in system shown in Figure 3 preferred embodiment.
Specific implementation mode
A kind of information aggregation method of present invention offer and system, to make the purpose of the present invention, technical solution and effect more
Clear, clear, the present invention is described in more detail below.It should be appreciated that specific embodiment described herein is only used to
It explains the present invention, is not intended to limit the present invention.
Referring to Fig. 1, Fig. 1 is a kind of flow chart of information aggregation method preferred embodiment of the present invention, as shown, it is wrapped
Include step:
S101, the information base data for capturing multiple websites, and configure a weighted value for each website;
S102, duplicate removal processing is carried out to the information base data of each website, by identical content in the data of each site information library
Information filtering only retains the information of the wherein one highest website of weighted value;
S103, the site information library data after each website duplicate removal processing are carried out again by the information sorting in information bank
Arrangement;
S104, each website is ranked up according to weight size, is then sorted successively from the information of each website according to website
The information being arranged in front is extracted in the data of library, forms the aggregation information library for including predetermined information quantity.
In the present embodiment, the information base data of multiple websites is captured first, in the present embodiment, the information base data
It can be the ranking list data of each website, such as the video ranking list of video website, can also be other information library data, such as
The film vault of the various types of film vaults, such as comedy, war film, science fiction film, action movie of video website etc. type,
All there is original sequence in these information banks.The purpose of the present invention is exactly to merge the information base data of various websites one
It rises, forms the aggregation information library that can really reflect temperature seniority among brothers and sisters.The present embodiment is mainly come with ranking list data for example, aobvious
So, for other kinds of information bank can method using the present invention carry out polymerization processing.
Such as when needing aggregate video information, then the ranking list data grabber of multiple video websites is come, for video
For website, ranking list data then refer to most popular video ranking list.In addition, the ranking list data from the crawl of each website back
It can be all information of each ranking list, can also be to come the information of the predetermined quantity before ranking list, such as first 50 are believed
Breath, to improve polymerization efficiency.
For each website, the number of users of different web sites may not be on a radix, so in its ranking list
The time watched of related content may not also be on a radix, that is to say, that the ranking list data that each website obtains may be all
Not on a radix, so the embodiment of the present invention is that each website configures a weighted value according to the number of users of each website,
Number of users is more, and weighted value is bigger, and number of users is fewer, and weighted value is smaller, you can is arranged to weighted value and number of users
Directly proportional relationship.
Then in step s 102, duplicate removal processing is carried out to the ranking list data of each website, in general, in major website
On ranking list in information majority be all identical, such as video website, same video may have more in ranking list
It is a, so needing to carry out duplicate removal processing to identical information in each website ranking data, identical information is removed, is only retained
One information in the highest website of weighted value, such as website A, website B, website C, wherein weighted value size is:Website
A>Website B>Website C, and website A includes information A1, A2, A3, website B includes information B1, A2, B3, and website C includes letter
C1, A2, A3 are ceased, then can duplicate removal processing be carried out identical information in each website, only retains a highest net of weighted value
The information stood, you can the information A2 in the B of website and information A2 and A3 in the C of website are filtered out, and only retained in the A of website
A2 and A3, after this spline filter, website A further includes having information A1, A2, A3, and website B is left information B1 and B3, the remaining letters of website C
Cease C1.
It in duplicate removal processing, can handle according to the title of information, such as the video filtering of same names is fallen, only protect
Stay the identical information of a highest website of weighted value.Since different web sites may not for the name of same information
Together, such as same film is different in the possible title in different video website, so can also be gone by information profile
It handles again, such as video, is contained in video profile and show the information such as title, show time, protagonist, plot,
If these information match or match information be more than it is a number of if can be determined that it is same video.
In addition, if information included in certain website is filtered, directly the information bank of the website can be weeded out,
Continue following step.
In step s 103, after duplicate removal processing, the ranking list data of each website may be varied from, then needing pair
The ranking list of each website is rearranged, and the information that will filter out is filled with subsequent information successively, for example, second place letter
Breath is removed, then just being filled with the information of third, originally the position of third is then filled by the information of fourth, successively class
Push away, filled successively according to ranking list sequence, form continuous ranking list, for example, website B by remaining B1 after duplicate removal processing,
B3, B4, B5, then after rearranging, B3 fills vacancies in the proper order the position of original B2, and B4 and B5 then fill vacancies in the proper order original B3's and B4 respectively
Position forms continuous ranking list;Website C is by remaining C1, C4, C5 after duplicate removal processing, then C4 fills vacancies in the proper order original C2's
Position, C5 fill vacancies in the proper order the position of original C3, form continuous ranking list.
In step S104, each website is ranked up according to weighted value size, weighted value is high to be arranged in front, weighted value
It is low be arranged in after, then extract the information being arranged in front, shape from the ranking list data of each website successively according to website sequence
At the polymerization ranking list comprising predetermined information quantity, information extraction mode is that cycle extracts, i.e., extracts and arrange from each website successively
After preceding information, the information that each website is arranged in front is extracted in recycling successively again, repeatedly.For example, weighted value size
For:Website A>Website B>Website C>Website D>Website E, the website sequence after sequence are:Website A, website B, website C, website D,
Website E, then first from the information for extracting first place in ranking list data in the A of website, then successively from website B, website C, net
It stands and extracts the information of first place in each ranking list data in D, website E, then from extracting second place in ranking list data in the A of website
Information, then successively from the information for extracting second place in each ranking list data in website B, website C, website D, website E, class successively
It pushes away, the information until being drawn into predetermined information item number, composition polymerization ranking list.
As the preferred embodiment of the present invention, as shown in Fig. 2, the step S104 is specifically included:
S201, information content T in aggregation information library is pre-set;
By taking ranking list as an example, this information content T can be determined according to the information bar number of the ranking list in each website source, such as
In general, the information bar number of each video website ranking list is 10 ~ 50, then the information content that can be arranged in polymerization ranking list is
20。
Average information the quantity X, X=T/N, N that S202, calculating need to be extracted from the information bank of each website are of website
Number;
X therein rounds up, such as information content T=20, N=5, then X=20/5=4, if T=20, N=6, then X=4.
S203, it judges whether there is the information content for including in the data of site information library and is transferred to step when being less than X
S204 is transferred to step S205 when no;
It is whether the information content that judges to include is enough such as a certain herein in each website ranking data Jing Guo duplicate removal
Website C passes through after duplicate removal processing, including information content be 3, and X=4 carry out then being then transferred in step S204
Processing can be transferred in step S205 if each website ranking data are met the requirements and be handled.
S204, the information being arranged in front is extracted from the information base data of each website one by one according to website sequence, and will wheel
Empty information bank is rejected, and then proceedes to extract the information being arranged in front from each website one by one according to website sequence, until being drawn into T
Information;
The information being arranged in front first is extracted one by one, when the ranking list data of some websites are evacuated, this is because corresponding
The information content for including in information base data is less than X, that is, there is a situation where that information bar number is inadequate in ranking list data, then will wheel
Empty ranking list is rejected, and then proceedes to extract the information being arranged in front from other each websites one by one according to website sequence, if another
The ranking list data of a website are also evacuated, then are rejected the ranking list newly made a turn, are so recycled repeatedly, until being drawn into T items
Information.
For example, weighted value size is:Website A>Website B>Website C>Website D>Website E, website A include A1, A2,
A3, A4, A5, A6, A7, website B include B1, B2, B3, and website C includes C1, C2, C3, C4, C5, C6, C7, C8, and website D includes
D1, D2, D3, D4, website E include E1, E2, E3, E4, E5, E6, are arranged then extracting each website successively first, in accordance with website sequence
The information that each website is arranged in front is extracted in preceding information, i.e. A1, B1, C1, D1, E1, then recycling, i.e. A2, B2, C2, D2,
The information that each website is arranged in front, i.e. A3, B3, C3, D3, E3 are extracted in E2, then recycling, and the data of website B have evacuated at this time,
The information bank of the website can be rejected, when extracting again, then A4, C4, D4, E4 be extracted successively, in this way, the data of website D
It evacuates, then rejects the information bank of the website, when extracting again, extract A5, C5, E5 successively, recycle repeatedly in this way, until taking out
Get T information.
S205, the information being arranged in front is extracted from the information base data of each website one by one according to website sequence, until taking out
Get T information;
This step is directly to extract the information being arranged in front from the ranking list data of each website one by one according to website sequence,
Because the ranking list data of all websites all include at least X information, it is possible to meet the mesh of website Extracting Information one by one
, the rarefied situation of information of some websites in step S204 may be not present.
Specifically when extracting, the information that can be sorted from each website ranking data pick-up first place according to website, then
It by the information removal of first place in each ranking list data, and is filled by respective second place, then proceedes to extract and extract successively respectively
The information of the first place of website ranking data, and so on, operation more than repetition is drawn into T information i.e. until meeting
It can.
S206, T information is ranked up according to the sequence of extraction, forms aggregation information library.
It for the information being drawn into, can be ranked up according to the sequence of extraction, because extraction sequence is according to each website
Weighted value sequence, so the polymerization ranking list finally obtained also reflects the weighted value of each website, what is finally obtained is most hot
The seniority among brothers and sisters of information is also more accurate, true.
Further, the website is multimedia web site, and described information is multimedia messages.For example, the website is video
Website, music website or network site of cinema and TV etc., described information are video or music etc..
Based on the above method, the present invention also provides a kind of information aggregation system preferred embodiments, as shown in Figure 3 comprising:
Handling module 100, the information base data for capturing multiple websites, and configure a weighted value for each website;
Deduplication module 200 carries out duplicate removal processing for the information base data to each website, will be in the data of each site information library
The information filtering of identical content only retains the information of the wherein one highest website of weighted value;
Reordering module 300, for pressing the information sorting in information bank by the site information library after each website duplicate removal processing
Data are rearranged;
Then aggregation module 400 sorts according to website successively from each for each website to be ranked up according to weight size
The information being arranged in front is extracted in the information base data of website, forms the aggregation information library for including predetermined information quantity.
Further, as shown in figure 4, the aggregation module 400 specifically includes:
Number setting unit 410, for pre-setting the information content T in aggregation information library;
Average information amount calculation unit 420, for calculating the average information that need to be extracted from the information bank of each website
Quantity X, X=T/N, N are the number of website;
Judging unit 430 is less than X for judging whether there is the information content for including in the data of site information library, when being,
The information being arranged in front is extracted from the information base data of each website one by one according to website sequence, and the information bank made a turn is picked
It removes, then proceedes to extract the information being arranged in front from each website one by one according to website sequence, until T information is drawn into, when no
When, the information being arranged in front is extracted from the information base data of each website one by one according to website sequence, until being drawn into T items letter
Breath;
Sequencing unit 440 is ranked up T information for the sequence according to extraction, forms aggregation information library.
Further, the website is multimedia web site, and described information is multimedia messages.
Further, the deduplication module 200 is for comparing the title of each information in the data of each site information library
Compared with, the information filtering of same names is fallen, only retain the wherein one highest website of weighted value information.
In conclusion the present invention carries out duplicate removal processing by the information base data to each website so that duplicate message is picked
It removes, and one weighted value is set for each website, the information being arranged in front is extracted from each website according to weight size, to be formed
Aggregation information library, method through the invention, information fusion can more really reflect the temperature of each information, and combine each net
The weight stood, together by the data fusion in each site information library, the data obtained are more true, accurate.
It should be understood that the application of the present invention is not limited to the above for those of ordinary skills can
With improvement or transformation based on the above description, all these modifications and variations should all belong to the guarantor of appended claims of the present invention
Protect range.
Claims (9)
1. a kind of information aggregation method, which is characterized in that including step:
A, the information base data of multiple websites is captured, and a weighted value is configured for each website;
B, duplicate removal processing is carried out to the information base data of each website, by the information mistake of identical content in the data of each site information library
Filter only retains the information of the wherein one highest website of weighted value;
C, the information base data after each website duplicate removal processing is rearranged by the information sorting in information bank;
D, each website is ranked up according to weight size, is then sorted successively from the information base data of each website according to website
The information being arranged in front is extracted, the aggregation information library for including predetermined information quantity is formed;
It is that each website configures a weighted value according to the number of users of each website, wherein the number of users in the step A
It is directly proportional to the weighted value.
2. information aggregation method according to claim 1, which is characterized in that the step D is specifically included:
D1, information content T in aggregation information library is pre-set;
Average information the quantity X, X=T/N, N that D2, calculating need to be extracted from the information bank of each website are the number of website;
D3, it judges whether there is the information content for including in the data of site information library and step D4 is transferred to, when no when being less than X
When, it is transferred to step D5;
D4, the information being arranged in front, and the letter that will be made a turn are extracted from the information base data of each website one by one according to website sequence
It ceases library to reject, then proceedes to extract the information being arranged in front from each website one by one according to website sequence, until being drawn into T items letter
Breath;
D5, the information being arranged in front is extracted from the information base data of each website one by one according to website sequence, until being drawn into T items
Information;
D6, T information is ranked up according to the sequence of extraction, forms aggregation information library.
3. information aggregation method according to claim 1, which is characterized in that the website is multimedia web site, the letter
Breath is multimedia messages.
4. information aggregation method according to claim 1, which is characterized in that the step B is specifically included:
The title of each information in the data of each site information library is compared, the information filtering of same names is fallen, is only protected
Stay the information of the wherein one highest website of weighted value.
5. information aggregation method according to claim 1, which is characterized in that in the step C, by the website letter of duplicate removal
It ceases in the data of library, the information being filtered is filled by subsequent information successively, forms the information bank after rearranging.
6. a kind of information aggregation system, which is characterized in that including:
Handling module, the information base data for capturing multiple websites, and configure a weighted value for each website;
Deduplication module carries out duplicate removal processing, in identical in the data of each site information library for the information base data to each website
The information filtering of appearance only retains the information of the wherein one highest website of weighted value;
Reordering module, for carrying out the information base data after each website duplicate removal processing again by the information sorting in information bank
Arrangement;
Then aggregation module sorts according to website successively from each website for each website to be ranked up according to weight size
The information being arranged in front is extracted in information base data, forms the aggregation information library for including predetermined information quantity;
The handling module is specifically used for, and is that each website configures a weighted value according to the number of users of each website, wherein described
Number of users is directly proportional to the weighted value.
7. information aggregation system according to claim 6, which is characterized in that the aggregation module specifically includes:
Number setting unit, for pre-setting the information content T in aggregation information library;
Average information amount calculation unit, for calculate average information the quantity X, X that need to be extracted from the information bank of each website=
T/N, N are the number of website;
Judging unit is less than X, when being, according to net for judging whether there is the information content for including in the data of site information library
The information being arranged in front is extracted in sequence of standing from the information base data of each website one by one, and the information bank made a turn is rejected, then
Continue to extract the information being arranged in front from each website one by one according to website sequence, until it is drawn into T information, when no, according to
The information being arranged in front is extracted in website sequence from the information base data of each website one by one, until being drawn into T information;
Sequencing unit is ranked up T information for the sequence according to extraction, forms aggregation information library.
8. information aggregation system according to claim 6, which is characterized in that the website is multimedia web site, the letter
Breath is multimedia messages.
9. information aggregation system according to claim 6, which is characterized in that the deduplication module is for believing each website
The title of each information is compared in breath library data, and the information filtering of same names is fallen, and only retains a wherein weighted value
The information of highest website.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201410144498.9A CN104978359B (en) | 2014-04-11 | 2014-04-11 | A kind of information aggregation method and system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201410144498.9A CN104978359B (en) | 2014-04-11 | 2014-04-11 | A kind of information aggregation method and system |
Publications (2)
Publication Number | Publication Date |
---|---|
CN104978359A CN104978359A (en) | 2015-10-14 |
CN104978359B true CN104978359B (en) | 2018-07-17 |
Family
ID=54274873
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201410144498.9A Active CN104978359B (en) | 2014-04-11 | 2014-04-11 | A kind of information aggregation method and system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN104978359B (en) |
Family Cites Families (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8356047B2 (en) * | 2009-10-01 | 2013-01-15 | International Business Machines Corporation | Intelligent event-based data mining of unstructured information |
CN101917456B (en) * | 2010-07-06 | 2012-10-03 | 杭州热点信息技术有限公司 | Content-aggregated wireless issuing system |
US8990223B2 (en) * | 2012-06-29 | 2015-03-24 | Rovi Guides, Inc. | Systems and methods for matching media content data |
CN103514282A (en) * | 2013-09-29 | 2014-01-15 | 北京奇虎科技有限公司 | Method and device for displaying search results of videos |
-
2014
- 2014-04-11 CN CN201410144498.9A patent/CN104978359B/en active Active
Also Published As
Publication number | Publication date |
---|---|
CN104978359A (en) | 2015-10-14 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN103368917B (en) | A kind of risk control method and system of network virtual user | |
CN103020845B (en) | A kind of method for pushing and system of mobile application | |
Campos et al. | Small-world effects in the majority-vote model | |
CN103473238B (en) | Dispense address location system and method | |
CN104599160A (en) | Commodity recommendation method and commodity recommendation device | |
CN107404541B (en) | Method and system for selecting neighbor node in peer-to-peer network transmission | |
CN103955543A (en) | Multimode-based clothing image retrieval method | |
EP2095272A1 (en) | System and method for optimizing changes of data sets | |
CN105335368B (en) | A kind of product clustering method and device | |
CN101442731A (en) | Method and apparatus for removing call ticket repeat | |
CN105787055A (en) | Information recommendation method and device | |
CN105468668B (en) | The method for pushing and device of topic in a kind of official media's news | |
CN107277115A (en) | A kind of content delivery method and device | |
CN104994171A (en) | Distributed storage method and system | |
CN105786857A (en) | Method and system for improving video aggregation efficiency | |
CN107679943A (en) | Intelligent recommendation method and system | |
CN107645667A (en) | Video recommendation method, system and server apparatus | |
CN105550207B (en) | Information popularization method and device | |
CN102982012B (en) | Method and device used for obtaining target character strings in disorder text | |
CN111582967A (en) | Content search method, device, equipment and storage medium | |
CN109102303B (en) | Risk detection method and related device | |
CN106777201A (en) | The sort method and device of the recommending data in search results pages | |
CN104978359B (en) | A kind of information aggregation method and system | |
CN104506636B (en) | A kind of method of data synchronization and device | |
CN103617261B (en) | Picture content attribute identification method and system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |