CN103678376B - Searching system and searching method - Google Patents
Searching system and searching method Download PDFInfo
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- CN103678376B CN103678376B CN201210344271.XA CN201210344271A CN103678376B CN 103678376 B CN103678376 B CN 103678376B CN 201210344271 A CN201210344271 A CN 201210344271A CN 103678376 B CN103678376 B CN 103678376B
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- 238000000034 method Methods 0.000 title claims abstract description 21
- 238000004458 analytical method Methods 0.000 claims description 24
- 238000012163 sequencing technique Methods 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 6
- 230000006870 function Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 230000001174 ascending effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
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Classifications
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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
- G06F16/951—Indexing; Web crawling techniques
Abstract
The invention provides a searching method. The method includes receiving a first keyword input by a first user through one terminal equipment; selecting R related keywords from a webpage returned according to the first keyword; selecting one or multiple other users using the first keyword for webpage searching in the past as related users; presenting a searching history of each related user to the first user through the terminal equipment. The invention further provides a searching system. By the system and the method, needed webpages can be quickly found with the help of the searching histories of other users with similar searching objectives.
Description
Technical field
The present invention relates to Internet technical field, especially with respect to a kind of search system and method.
Background technology
The development of computer networking technology drastically increases the convenience that people obtain information.Store in computer network
The information of magnanimity, finds oneself required information for the ease of people, various search engines are widely used.
Traditional search engine is largely dependent upon the keyword of user's input, the key being provided according to user
Word provides related Search Results to user.However, just due in computer network data volume very huge, according to user
The webpage of the keyword search providing is generally also very many, sometimes or even up to millions of, and has suitable one among these
Although subnetting page includes the keyword of user's input, may with user it is to be understood that information unrelated.Therefore, make
It is a thing wasting time and energy that user wants to filter out its required webpage from so many webpage.
Content of the invention
In view of the foregoing it is necessary to propose a kind of search system and method, it may help to user and is quickly found
Its required webpage.
Described search system includes：Keyword receiver module, passes through a terminal device for receiving the first user
First keyword of input；Related keyword analysis module, for selecting R from the webpage returning according to described first keyword
Individual related keyword；Associated user analysis module, for carrying out Webpage search from once using excessively described first keyword
One or more is selected as associated user in other users；And display module, for by each associated user
Search course presents to described first user by described terminal device.
Described searching method includes：Receive the first keyword that the first user passes through a terminal device input；From
Select R related keyword according in the webpage that described first keyword returns；Entered using excessively described first keyword from once
One or more is selected as associated user in other users of row Webpage search；And searching each associated user
Suo Licheng presents to described first user by described terminal device.
Can be by other users with same search purpose using search system provided by the present invention and method
Search course be quickly found out oneself needs webpage.
Brief description
Fig. 1 is the applied environment figure of search system preferred embodiment of the present invention.
Fig. 2 is the functional block diagram of search system preferred embodiment of the present invention.
Fig. 3 is the method flow diagram of searching method preferred embodiment of the present invention.
Fig. 4 is the schematic diagram of the search course of an associated user.
Main element symbol description
Following specific embodiment will further illustrate the present invention in conjunction with above-mentioned accompanying drawing.
Specific embodiment
Refering to the applied environment figure shown in Fig. 1, being search system preferred embodiment of the present invention.Described search system 10 is applied
In application server 1.Described application server 1 is passed through network and is connected with multiple terminal devices 2 and web page server 3 communication
Connect.Described network can be Internet or intranet etc..Described terminal device 2 can be personal computer, put down
Plate computer, PDA（Personal digital assistant, personal digital assistant）, the electric terminal equipment such as smart mobile phone.
What described web page server 3 was used for providing network information browses service.Web page server 3 is applied server 1
After the web-page requests of transmission, required webpage is sent to corresponding terminal device 2 by application server 1.The present invention other
In embodiment, described web page server 3 can also be combined into one with apps server with described application server 1
Web server.
Refering to the functional block diagram shown in Fig. 2, being search system preferred embodiment of the present invention.
Search system 10 of the present invention includes multiple functional modules being made up of programming code（As described below）, tool
There is the first keyword receiving first user's input, several related keywords are analyzed according to this first keyword, and root
Find out, according to this some related keyword, the associated user that one or more has same search purpose, searched for course
It is presented to described first user, to help described first user to be quickly found out the function of the webpage of oneself needs.There is phase
Refer to that once used described first keyword carries out Webpage search with search purpose.Described search course can include using
Keyword and browsed with the webpage of described keyword associated etc..
The programming code of described search system 10 is stored in the memory cell 20 of application server 1, and is taken by application
To realize its function performed by the control unit 30 of business device 1.The memory cell 20 of application server 1 can be smart media card
（smart mediacard）, safe digital card（secure digital card）, flash memory cards（flash card）Deng
Storage facilities.The control unit 30 of described application server 1 can be central processing unit etc..
In the present embodiment, in described search system 10, keyword is included by the functional module that programming code is formed and receive
Module 100, related keyword analysis module 101, associated user analysis module 102, display module 103 and memory module 104.
Function below in conjunction with Fig. 3 specification module 100 ~ 104.
Refering to the method flow diagram shown in Fig. 3, being searching method preferred embodiment of the present invention.According to different demands, should
In flow chart, the order of step can change, and some steps can be omitted.
Step S01, keyword receiver module 100 receives the first user and searches at one through the browser of terminal device 2
First keyword of middle input held up in index.
Step S02, related keyword analysis module 101 obtains from the search and webpage being returned according to described first keyword
N number of webpage therein.It should be appreciated that after inputting described first keyword, search engine can return all inclusion institutes
State the webpage of the first keyword, described related keyword analysis module selects N number of webpage therein.Selected N number of webpage can
Be described all webpages top n or according to set in advance rule select.
Step S03, related keyword analysis module 101 will be sharp to all nouns in described N number of webpage or noun phrase
Carry out weight computing with a kind of weighting algorithm, calculate each noun or the weights of noun phrase.Described noun refers to represent
The word of persons or thingses such as " computer ", " user ", " user ", " network " etc., noun phrase refers to by several nouns or name
Word and its phrase of modifier composition, such as " computer network ", " authorized user " etc..The weighting that present pre-ferred embodiments adopt
Algorithm is TF-IDF（Termfrequency inverse document frequency, word frequency-reverse document-frequency）Weighting
Algorithm.Described TF-IDF is a kind of weighting technique prospected for information retrieval and information, in order to assess a noun or name
The significance level of one of webpage for described N number of webpage for the word phrase.The importance of noun or noun phrase with
The number of times that it occurs in same webpage is directly proportional increase, but the frequency that simultaneously can occur in described N number of webpage with it
Be inversely proportional to decline.For example, in a webpage, the number of total noun or noun phrase is 100, and noun " computer " goes out
3 times are showed, then " computer " one word word frequency in the web page（TF）It is exactly 3/100=0.03.And if " computer " one word
Occurred in 1,000 webpage, and the total N of webpage was 10,000,000, its reverse document-frequency（IDF）Be exactly log (10,
000,000/1,000)=4, therefore, the weights of " computer " one word are 0.03*4=0.12.
The other embodiment of the present invention can also adopt single TF（Termfrequency, word frequency）Weighting algorithm, that is, not
Consider the frequency that noun or noun phrase occur in described N number of webpage.Additionally, the other embodiment of the present invention can also be adopted
Use Boolean weighting algorithm.Described Boolean weighting algorithm refers to randomly draw several nouns or noun in a webpage
Phrase, calculates the frequency that it occurs in the web page.
The other embodiment of the present invention can also without calculate webpage in all nouns or noun phrase weights, and
It is using social bookmarks Tag（Community label）Method obtains the label to certain webpage label for each user, meter
Calculate the frequency that each label is used.For example, user b is " computer " collecting the label marking during webpage a, user c
It is " data processing equipment " collecting the label marking during webpage a ..., then related keyword analysis module 101 calculates each mark
Sign the frequency being used as the weights of this each label.
Step S04, related keyword analysis module 101 is by all nouns in described N number of webpage or noun piece radix
It is ranked up according to its weights, and closed as related according to R higher noun of this sequencing selection wherein weights or noun phrase
Key word.When described noun or noun phrase are descending sort according to its weights, related keyword analysis module 101 selects it
In front R, and when described noun or noun phrase are ascending sort according to its weights, related keyword analysis module
101 select rear R therein.
Step S05, associated user analysis module 102 is searched and was once carried out Webpage search using excessively described first keyword
Other users.For example, if in step S 01 as above, the first keyword of described first user's input is " meter
Calculation machine ", then associated user analysis module 102 search other uses of once scanning for as keyword by the use of " computer "
Person.
Step S06, associated user analysis module 102 select described in once carried out webpage using excessively described first keyword
One of user in other users of search, obtains selected user according to described first keyword search
Browsed webpage in the search and webpage returning.Described once carry out other of Webpage search using excessively described first keyword and make
User can be considered as thering is identical search purpose with described first user.For example, selected user utilizes keyword
The search and webpage that " computer " search returns includes webpage a, webpage b, webpage c, webpage d and webpage e, and this user clicks
Webpage a therein and webpage c is browsed, then associated user analysis module 102 obtains this webpage a and webpage c.
Step S07, associated user analysis module 102 obtains all in the browsed webpage of selected user
Noun or noun phrase, and seek common ground with R above-mentioned related keyword, calculate number S of the keyword in occuring simultaneously, and count
Calculate assessed value V of selected user, wherein V=S/R.For example, described R related keyword includes Keyword 1,
Keyword 2, Keyword 3, Keyword 4 and Keyword5 totally 5 keywords, and selected user is browsed
Noun in webpage or noun phrase include Keyword 6, Keyword 1, Keyword 8, Keyword3, Keyword 4,
Keyword 7, Keyword 9, Keyword 10, then it occurs simultaneously for Keyword 1, Keyword 3, and Keyword 4, therefore
Number S=3 of keyword in common factor, then, assessed value V=3/5 of selected user.
Step S08, associated user analysis module 102 judges whether to have calculating or not in other users described that it is commented
The user of valuation.If there being such user, return foregoing description step S06.Otherwise, if other users described all
It has been computed its assessed value, then following step S09 of flow performing.
In step S09, associated user analysis module 102 select higher one or more of wherein assessed value other
User is considered as associated user, and by display module 103, the search course of each associated user is presented to described first
In the browser of terminal device 2 of user.Described search course includes each described associated user in a search procedure
In other keywords in addition to described first keyword of using, and once browsed net in this retrieving
Page.
As shown in figure 4, being the schematic diagram of the search course of associated user a, b and c.When the first user utilizes the first pass
When key word scans for, higher used in connection with of the assessed value once scanning for can be found using excessively described first keyword
Person a, b and c.From fig. 4, it can be seen that when associated user a is scanned for using the first keyword, according to this first keyword
Browsed webpage A, webpage B and webpage C in the webpage returning.Additionally, associated user a in once search course also once
Used second keyword scans for, and browsed webpage D in the webpage being returned according to this second keyword.Similarly, phase
Close user b when scanning for using the first keyword, in the webpage being returned according to this first keyword browsed webpage E and
Webpage F.Additionally, associated user b in once search course also once used 3rd keyword scan for, and in basis
Browsed webpage G and webpage H in the webpage that 3rd keyword returns, and associated user c carried out using the first keyword a
During search, in the webpage returning according to this first keyword, there is no browsed any webpage, and associated user c is with once
Browsed webpage I, webpage J and webpage K in the webpage of the 4th keyword return is utilized in search course.Used in connection with shown in figure
The browsed webpage A of person, webpage B ... can be presented on described first user in the way of snapshots of web pages or web page title
The browser of terminal device 2 in.Additionally, the first webpage shown in Fig. 4, the second webpage, the 3rd webpage, the 4th webpage ... are
The webpage that search engine returns according to described first keyword.
According to the search course of each associated user, described first user is just recognized which keyword also may be used
To be used for into line retrieval, for example, the first keyword that described first user utilizes is " computer ", according to described used in connection with
The search course of person, the first user is recognized that can also be with the second keyword " computer ", the 3rd keyword " data processing
Equipment " etc. scans for.And the once browsed webpage of associated user potentially includes some important informations.Additionally, described search
Suo Licheng can also include the time that each webpage is browsed.The time being browsed is longer, illustrates that this webpage is more important.Therefore,
Assist in the webpage that the first user is quickly found out oneself needs.
It is also possible to include a step, that is, this search of described first user is used by memory module 104
To keyword and browsed webpage recorded the memory cell 20 of application server 1, with to other users in search
When help is provided.
Finally it should be noted that above example is only in order to illustrate technical scheme and unrestricted, although reference
Preferred embodiment has been described in detail to the present invention, it will be understood by those within the art that, can be to the present invention's
Technical scheme is modified or equivalent, without deviating from the spirit and scope of technical solution of the present invention.
Claims (4)
1. a kind of search system is it is characterised in that this system includes：
Keyword receiver module, passes through the first keyword of a terminal device input for receiving the first user；
Related keyword analysis module, for selecting R related keyword from the webpage returning according to described first keyword；
Associated user analysis module, for from other users once carrying out Webpage search using excessively described first keyword
Middle select one or more as associated user；Wherein, the selection of described associated user is adopted with the following method：
Obtain the browsed webpage in the search and webpage returning according to described first keyword of each other user described；
Obtain all nouns in browsed webpage or noun phrase, and seek common ground with R above-mentioned related keyword,
Calculate number S of the keyword in occuring simultaneously；
Calculate assessed value V of each other user described, wherein V=S/R；And
Select wherein one or more higher other user of assessed value as associated user；And
Display module, for presenting to described first use by the search course of each associated user by described terminal device
Person.
2. search system as claimed in claim 1 is it is characterised in that described R related keyword utilizes following method choice：
Obtain N number of webpage therein from the search and webpage returning according to described first keyword；
All nouns in described N number of webpage or noun phrase are carried out weight computing using a kind of weighting algorithm, calculates
Each noun or the weights of noun phrase；And
All nouns in described N number of webpage or noun phrase are ranked up according to its weights, and according to this sequencing selection
Wherein R higher noun of weights or noun phrase are as related keyword.
3. a kind of searching method is it is characterised in that the method includes：
Keyword receiving step：Receive the first keyword that the first user passes through a terminal device input；
Related keyword analytical procedure：Select R related keyword from the webpage returning according to described first keyword；
Associated user analytical procedure：Select from other users once carrying out Webpage search using excessively described first keyword
Select one or more as associated user；Wherein, described associated user analytical procedure includes：
Obtain the browsed webpage in the search and webpage returning according to described first keyword of each other user described；
Obtain all nouns in browsed webpage or noun phrase, and seek common ground with R above-mentioned related keyword,
Calculate number S of the keyword in occuring simultaneously；
Calculate assessed value V of each other user described, wherein V=S/R；And
Select wherein one or more higher other user of assessed value as associated user；And
Step display：The search course of each associated user is presented to described first user by described terminal device.
4. searching method as claimed in claim 3 is it is characterised in that described related keyword analytical procedure includes：
Obtain N number of webpage therein from the search and webpage returning according to described first keyword；
All nouns in described N number of webpage or noun phrase are carried out weight computing using a kind of weighting algorithm, calculates
Each noun or the weights of noun phrase；And
All nouns in described N number of webpage or noun phrase are ranked up according to its weights, and according to this sequencing selection
Wherein R higher noun of weights or noun phrase are as related keyword.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210344271.XA CN103678376B (en) | 2012-09-17 | 2012-09-17 | Searching system and searching method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210344271.XA CN103678376B (en) | 2012-09-17 | 2012-09-17 | Searching system and searching method |
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| CN103678376A CN103678376A (en) | 2014-03-26 |
| CN103678376B true CN103678376B (en) | 2017-02-08 |
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| CN110163719A (en) * | 2019-04-15 | 2019-08-23 | 深圳壹账通智能科技有限公司 | Information-pushing method, device, computer equipment and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1808423A (en) * | 2005-01-17 | 2006-07-26 | 佳能信息技术（北京）有限公司 | Webpage search display method and its client device |
| CN1889079A (en) * | 2006-07-27 | 2007-01-03 | 唐晨辉 | User cooperative searching engine |
| CN101004749A (en) * | 2006-12-26 | 2007-07-25 | 朱莉君 | Method of constructing communication platform for Internet users |
| CN102567409A (en) * | 2010-12-31 | 2012-07-11 | 珠海博睿科技有限公司 | Method and device for providing retrieval associated word |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8412706B2 (en) * | 2004-09-15 | 2013-04-02 | Within3, Inc. | Social network analysis |
| US20070100798A1 (en) * | 2005-10-31 | 2007-05-03 | Shyam Kapur | Community built result sets and methods of using the same |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1808423A (en) * | 2005-01-17 | 2006-07-26 | 佳能信息技术（北京）有限公司 | Webpage search display method and its client device |
| CN1889079A (en) * | 2006-07-27 | 2007-01-03 | 唐晨辉 | User cooperative searching engine |
| CN101004749A (en) * | 2006-12-26 | 2007-07-25 | 朱莉君 | Method of constructing communication platform for Internet users |
| CN102567409A (en) * | 2010-12-31 | 2012-07-11 | 珠海博睿科技有限公司 | Method and device for providing retrieval associated word |
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Effective date of registration: 20160918 Address after: 518000 Guangdong Province, Shenzhen New District of Longhua City, Dalang street, Hua Sheng Lu Yong Jingxuan commercial building 1608 Applicant after: Jinyang Shenzhen sea Network Intelligent Technology Co.,Ltd. Address before: 518109 Guangdong city of Shenzhen province Baoan District Longhua Town Industrial Zone tabulaeformis tenth East Ring Road No. 2 two Applicant before: HONG FU JIN PRECISION INDUSTRY (SHENZHEN) Co.,Ltd. Applicant before: HON HAI PRECISION INDUSTRY Co.,Ltd. |
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Inventor after: Zhang Xudong Inventor before: Li Zhongyi Inventor before: Ye Jianfa Inventor before: Liu Yuecen Inventor before: Lu Junqi |
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Effective date of registration: 20161214 Address after: 510000 Guangdong, Guangzhou province Jiang Yan Road, No. 31, No. two, accounting for the construction of the floor of the self - made 271, No. 33, No. Applicant after: Guangzhou Ziyou Network Technology Co.,Ltd. Address before: 518000 Guangdong Province, Shenzhen New District of Longhua City, Dalang street, Hua Sheng Lu Yong Jingxuan commercial building 1608 Applicant before: Jinyang Shenzhen sea Network Intelligent Technology Co.,Ltd. |
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