CN102298591A - Relation search method, device and system - Google Patents
Relation search method, device and system Download PDFInfo
- Publication number
- CN102298591A CN102298591A CN201010211060XA CN201010211060A CN102298591A CN 102298591 A CN102298591 A CN 102298591A CN 201010211060X A CN201010211060X A CN 201010211060XA CN 201010211060 A CN201010211060 A CN 201010211060A CN 102298591 A CN102298591 A CN 102298591A
- Authority
- CN
- China
- Prior art keywords
- node
- search
- file
- text
- incidence relation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Landscapes
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention discloses a relation search method, comprising the following steps: a search server performs relation search according to a search keyword to obtain a search result; the search server records the search result in a plain test format to generate a plain test file; and the search server sends the plain test file to a search client side. By means of the relation search method, the data volume to be transmitted and the network bandwidth consumption can be decreased. The invention also discloses a device and system with application of the method.
Description
Technical field
The present invention relates to Internet technical field, relate in particular to a kind of searching method, device and system of concerning.
Background technology
Along with the expansion of development of internet technology and web influence, the network user is more and more universal to the use of relation search.The relation search is a kind of search string according to user's input, shows the searching products of the personage's relation in the search string in the flash of webpage, and its bandwagon effect as shown in Figure 1.The search engine that concerns commonly used comprises search of people's cubic relationship and search Waltz.
In the prior art, concern that search server obtains Search Results after, use XML to carry out the transmission of Search Results, Search Results is sent to search client.Search client is according to Search Results, represents relation between the personage in the mode of figure.
The inventor finds that there is following defective at least in prior art in realizing process of the present invention:
XML is the marking type language, and the mark that is used to describe and a large amount of repeating labels need occupy certain data volume, for example, in the corresponding Search Results of people's cubic relationship search, is used to transmit the content equivalent that the data of mark almost comprise with it.Therefore, in the process of using XML transmission Search Results, the transmission data can comprise too much redundant content, and the network bandwidth is caused bigger waste.
Summary of the invention
The invention provides a kind of searching method, device and system of concerning, be used to reduce data quantity transmitted, reduce network bandwidth consumption.
The invention provides a kind of searching method that concerns, may further comprise the steps:
Search server concerns search according to searching key word, obtains Search Results;
Described search server writes down described Search Results with plain text format, generates text-only file;
Described search server sends to search client with described text-only file.
Preferably, described search server generates text-only file, comprising:
Described search server generates described text-only file according to the form of CONFIG.SYS.
Preferably, described text-only file is the initialization ini file.
Preferably, described search server sends to described text-only file after the search client, also comprises:
Described search client is resolved described text-only file, shows described Search Results according to analysis result in the mode of figure.
Preferably, described Search Results comprises: have the information of the first node of incidence relation and the incidence relation between described searching key word and the described first node with described searching key word.
Preferably, described Search Results also comprises: described searching key word and the corresponding temperature value of incidence relation between the described first node;
Described search client is showed described Search Results according to analysis result in the mode of figure, comprising:
When the temperature value of described incidence relation correspondence satisfied default displaying condition, described search client was showed incidence relation between described searching key word and the described first node according to described analysis result in the mode of figure.
Preferably, described search client is showed described Search Results according to analysis result in the mode of figure, comprising:
Described search client is a starting point with the search node of described searching key word correspondence, draw the line segment of described search node, and use the incidence relation between described searching key word and the described first node to identify the line segment of described search node to described first node to described first node.
Preferably, described Search Results also comprises: have the information of the Section Point of incidence relation and the incidence relation between described first node and the described Section Point with described first node.
Preferably, described search client is showed described Search Results according to analysis result in the mode of figure, comprising:
Described search client is a starting point with the search node of described searching key word correspondence, draw the line segment of described search node, and use the incidence relation between described searching key word and the described first node to identify the line segment of described search node to described first node to described first node;
Described search client is a starting point with described first node, draws the line segment of described first node to described Section Point, and uses the incidence relation between described first node and the described Section Point to identify the line segment of described first node to described Section Point.
Preferably, described searching key word comprises first keyword and second keyword;
Described Search Results comprises: the incidence relation between described first keyword and described second keyword.
Preferably, described search client is showed described Search Results according to analysis result in the mode of figure, comprising:
Described search client is a starting point with first key node of the described first keyword correspondence, draw the line segment of described first key node, and use the incidence relation between described first keyword and described second keyword to identify the line segment of described first key node to described second key node to second key node of the described second keyword correspondence.
Preferably, described Search Results also comprises: have the information of the 3rd node of incidence relation and the incidence relation between described second keyword and described the 3rd node with described second keyword.
Preferably, described search client is showed described Search Results according to analysis result in the mode of figure, comprising:
Described search client is a starting point with first key node of the described first keyword correspondence, draw the line segment of described first key node, and use the incidence relation between described first keyword and described second keyword to identify the line segment of described first key node to described second key node to second key node of the described second keyword correspondence;
Described search client is a starting point with described second key node, draw the line segment of described second key node, and use the incidence relation between described second keyword and described the 3rd node to identify the line segment of described second key node to described the 3rd node to described the 3rd node.
The present invention also provides a kind of search server, comprising:
Search module is used for concerning search according to searching key word, obtains Search Results;
Logging modle is used for writing down the Search Results that described search module obtains with plain text format, generates text-only file;
Sending module is used for described text-only file is sent to search client.
Preferably, described logging modle is used for the form according to CONFIG.SYS, generates described text-only file.
Preferably, described sending module be used for described text-only file is compressed, and the text-only file after will compressing sends to described search client.
The present invention also provides a kind of search system that concerns, comprising:
Search server is used for concerning search according to searching key word, obtains Search Results, and writes down described Search Results with plain text format, generates text-only file, and described text-only file is sent to search client;
Search client is used to receive the text-only file from described search server, resolves described text-only file, shows described Search Results according to analysis result in the mode of figure.
Compared with prior art, the present invention has the following advantages: the present invention generates text-only file by the mode record searching result with plain text, and text-only file is sent to search client, can reduce data quantity transmitted, reduces network bandwidth consumption.
Description of drawings
In order to be illustrated more clearly in the present invention or technical scheme of the prior art, to do to introduce simply to the accompanying drawing of required use in the present invention or the description of the Prior Art below, apparently, accompanying drawing in describing below only is some embodiments of the present invention, for those of ordinary skills, under the prerequisite of not paying creative work, can also obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is the bandwagon effect synoptic diagram of relation search of the prior art;
Fig. 2 is a kind of searching method process flow diagram that concerns among the present invention;
Fig. 3 is the Search Results synoptic diagram in a kind of application scenarios of the present invention;
Fig. 4 is the Search Results synoptic diagram in the another kind of application scenarios of the present invention;
Fig. 5 is a kind of search server structural representation among the present invention;
Fig. 6 is a kind of search system structural representation that concerns among the present invention.
Embodiment
In the technical scheme provided by the invention, abandon using XML transmission Search Results, use plain text description and record searching result's content, the Search Results after the compression is stored in server end, and export to the search client of front end, resolve and show for search client.According to the reality measuring and calculating, above-mentioned transmission mode is compared with using the XML transmission, can reduce by about 60% transmission quantity, has significantly reduced network bandwidth consumption.
Below in conjunction with the accompanying drawing among the present invention, technical scheme of the present invention is clearly and completely described, obviously, described embodiment is the present invention's part embodiment, rather than whole embodiment.Based on the embodiment among the present invention, those of ordinary skills belong to the scope of protection of the invention not making the every other embodiment that is obtained under the creative work prerequisite.
As shown in Figure 2, a kind of searching method process flow diagram that concerns among the present invention may further comprise the steps:
Wherein, searching key word can be a keyword, also can be two or more keywords.
Wherein, text-only file can be the file of being made up of printable character, can not comprise any format information.In text-only file, an English son symbol accounts for a byte usually, and a Chinese words accounts for two bytes usually, and text-only file name suffix can be " TXT " etc.The text-only file that search server generates comprises the content of Search Results.
Serviceability when resolving text-only file in order to improve search client, search server can generate text-only file according to the form of CONFIG.SYS, and this text-only file can be ini file (Initialization file, initialization files).Ini file is a kind of special text-only file that is used for preserving application program setting and option, as file extension, also is referred to as configuration file or summary file (Profile) with " .ini "." item-value is to (Entry-value the pairs) " storage organization of making an appointment can be adopted to the access of data in ini file inside, and the data for the treatment of access are stored categorizedly.
Particularly, search server can compress the text-only file of Search Results correspondence, and the text-only file after will compressing sends to search client.In addition, search server can also be encrypted the text-only file of Search Results correspondence.
Particularly, because relation search is a kind of the personage to be concerned search, Search Results is showed relation between the personage in the mode of figure.Therefore, can be with each party as a node, by the relation between the description node, the relation between the personage of each node correspondence is described.The relation data that comprises in the Search Results is used to describe whether have incidence relation between each node, and the internodal relative that has incidence relation
When searching key word was a keyword, Search Results can comprise: have the information of the first node of incidence relation and the incidence relation between searching key word and the first node with searching key word.Correspondingly, search client can be starting point with the search node of searching key word correspondence, draws the line segment of search node to first node, and uses the incidence relation between searching key word and the first node to identify the line segment of search node to first node.Wherein, search node can be for using the node of searching key word sign.
Search Results can also comprise: searching key word and the corresponding temperature value of incidence relation between the first node; Search client can determine whether to show the incidence relation between searching key word and the first node according to the temperature value of this incidence relation correspondence.When the temperature value of incidence relation correspondence satisfies default displaying condition, search client can be showed incidence relation between searching key word and the first node in the mode of figure according to analysis result, displaying condition that should be default can for the temperature value more than or equal to preset threshold value, also can be default ordering requirements.
Further, Search Results can also comprise: have the information of the Section Point of incidence relation and the incidence relation between first node and the Section Point with first node.Correspondingly, search client is a starting point with the search node of searching key word correspondence, draws the line segment of search node to first node, and uses the incidence relation between searching key word and the first node to identify the line segment of search node to first node; Search client is starting point with the first node, draws the line segment of first node to described Section Point, and uses the incidence relation between first node and the Section Point to identify the line segment of first node to Section Point.
For example, when searching key word was X, corresponding Search Results can comprise the A that has incidence relation with X, and the one or more relatives between X and the A; Can further include the B that has incidence relation with A, and the one or more relatives between A and the B.
The content of the text-only file corresponding with mentioned above searching results can be described as:
X tX tA t1000 t relative A1, relative A2, relative A3 ... relative An
X tA tB t1000 t relative B1, relative B2, relative B3 ... relative Bn
Wherein, the implication of the first row content represents that comprise the incidence relation of X and A in the Search Results of searching key word X, the temperature value of this incidence relation is 1000, this incidence relation corresponding relation speech A1, and relative A2, relative A3 ... relative An; The implication of the second row content represents that comprise the incidence relation of A and B in the Search Results of searching key word X, the temperature value of this incidence relation is 1000, this incidence relation corresponding relation speech B1, and relative B2, relative B3 ... relative Bn.
Search client, can be drawn the line segment of X to A with X as starting point, and use relative A1 when drawing according to the analysis result to text-only file, relative A2, and relative A3 ... relative An sign X is to the line segment of A; Can also draw the line segment of A with A as starting point, and use relative B1 to B, relative B2, relative B3 ... relative Bn sign A is to the line segment of B, as shown in Figure 3.
Searching key word can comprise first keyword and second keyword, and Search Results can comprise: the incidence relation between first keyword and second keyword.Correspondingly, search client can be starting point with first key node of the first keyword correspondence, draw the line segment of first key node, and use the incidence relation between first keyword and second keyword to identify the line segment of first key node to second key node to second key node of the second keyword correspondence.Wherein, first key node can be for using the node of first keyword sign, and second key node can be for using the node of second keyword sign.
Further, Search Results can also comprise: have the information of the 3rd node of incidence relation and the incidence relation between second keyword and the 3rd node with second keyword.Correspondingly, search client can be starting point with first key node of the first keyword correspondence, draw the line segment of first key node, and use the incidence relation between first keyword and second keyword to identify the line segment of first key node to second key node to second key node of the second keyword correspondence; Search client is a starting point with second key node, draws the line segment of second key node to the, three nodes, and uses incidence relation between second keyword and the 3rd node to identify the line segment of second key node to the, three nodes.
For example, when searching key word was X and Y, corresponding Search Results can comprise the one or more relatives between X and the Y, can further include the C that has incidence relation with Y, and the one or more relatives between Y and the C.
The content of the text-only file corresponding with mentioned above searching results can be described as:
X-Y tX tY t1000 t relative C1, relative C2, relative C3 ... relative Cn
X-Y tY tC t1000 t relative D1, relative D2, relative D3 ... relative Dn
Wherein, the implication of the first row content represents that comprise the incidence relation of X and Y in the Search Results of searching key word X and Y, the temperature value of this incidence relation is 1000, this incidence relation corresponding relation speech C1, and relative C2, relative C3 ... relative Cn; The implication of the second row content represents that comprise the incidence relation of Y and C in the Search Results of searching key word X-Y, the temperature value of this incidence relation is 1000, this incidence relation corresponding relation speech D1, and relative D2, relative D3 ... relative Dn.
Search client, can be drawn the line segment of X to Y with X as starting point, and use relative C1 when drawing according to the analysis result to text-only file, relative C2, and relative C3 ... relative Cn sign X is to the line segment of Y; Can also draw the line segment of Y with Y as starting point, and use relative D1 to C, relative D2, relative D3 ... relative Dn sign Y is to the line segment of C, as shown in Figure 4.
The present invention generates text-only file by the mode record searching result with plain text, and text-only file is sent to search client, can reduce data quantity transmitted, reduces network bandwidth consumption.
As shown in Figure 5, a kind of search server structural representation among the present invention comprises:
Particularly, logging modle 520 is used for the form according to CONFIG.SYS, generates text-only file.This text-only file can be ini file.
Sending module 530 is used for text-only file is sent to search client.
Particularly, sending module 530 is used for text-only file is compressed, and the text-only file after will compressing sends to search client.
The present invention generates text-only file by the mode record searching result with plain text, and text-only file is sent to search client, can reduce data quantity transmitted, reduces network bandwidth consumption.
As shown in Figure 6, a kind of search system structural representation that concerns among the present invention comprises:
Particularly, search server 610 can generate text-only file according to the form of CONFIG.SYS, and this text-only file can be ini file.
When searching key word was a keyword, Search Results can comprise: have the information of the first node of incidence relation and the incidence relation between searching key word and the first node with searching key word.Correspondingly, search client 620 can be starting point with the search node of searching key word correspondence, draws the line segment of search node to first node, and uses the incidence relation between searching key word and the first node to identify the line segment of search node to first node.Wherein, search node can be for using the node of searching key word sign.
Search Results can also comprise: searching key word and the corresponding temperature value of incidence relation between the first node; Search client 620 can determine whether to show the incidence relation between searching key word and the first node according to the temperature value of this incidence relation correspondence.Particularly, when the temperature value greater than preset threshold value or when satisfying other conditions, search client 620 is showed the incidence relation of these temperature value correspondences.
Further, Search Results can also comprise: have the information of the Section Point of incidence relation and the incidence relation between first node and the Section Point with first node.Correspondingly, search client 620 is a starting point with the search node of searching key word correspondence, draws the line segment of search node to first node, and uses the incidence relation between searching key word and the first node to identify the line segment of search node to first node; Search client 620 is a starting point with the first node, draws the line segment of first node to described Section Point, and uses incidence relation sign first node between first node and the Section Point to the line segment of Section Point.
Searching key word can comprise first keyword and second keyword, and Search Results can comprise: the incidence relation between first keyword and second keyword.Correspondingly, search client 620 can be starting point with first key node of the first keyword correspondence, draw the line segment of first key node, and use the incidence relation between first keyword and second keyword to identify the line segment of first key node to second key node to second key node of the second keyword correspondence.Wherein, first key node can be for using the node of first keyword sign, and second key node can be for using the node of second keyword sign.
Further, Search Results can also comprise: have the information of the 3rd node of incidence relation and the incidence relation between second keyword and the 3rd node with second keyword.Correspondingly, search client 620 can be starting point with first key node of the first keyword correspondence, draw the line segment of first key node, and use the incidence relation between first keyword and second keyword to identify the line segment of first key node to second key node to second key node of the second keyword correspondence; Search client 620 is a starting point with second key node, draws the line segment of second key node to the, three nodes, and uses incidence relation between second keyword and the 3rd node to identify the line segment of second key node to the, three nodes.
The present invention generates text-only file by the mode record searching result with plain text, and text-only file is sent to search client, can reduce data quantity transmitted, reduces network bandwidth consumption.
Through the above description of the embodiments, those skilled in the art can be well understood to the present invention and can realize by the mode that software adds essential general hardware platform, can certainly pass through hardware, but the former is better embodiment under a lot of situation.Based on such understanding, the part that technical scheme of the present invention contributes to prior art in essence in other words can embody with the form of software product, this computer software product is stored in the storage medium, comprise that some instructions are with so that a station terminal equipment (can be mobile phone, personal computer, server, the perhaps network equipment etc.) carry out the described method of each embodiment of the present invention.
The above only is a preferred implementation of the present invention; should be pointed out that for those skilled in the art, under the prerequisite that does not break away from the principle of the invention; can also make some improvements and modifications, these improvements and modifications also should be looked protection scope of the present invention.
It will be appreciated by those skilled in the art that the module in the device among the embodiment can be distributed in the device of embodiment according to the embodiment description, also can carry out respective change and be arranged in the one or more devices that are different from present embodiment.The module of the foregoing description can be integrated in one, and also can separate deployment; A module can be merged into, also a plurality of submodules can be further split into.
The invention described above embodiment sequence number is not represented the quality of embodiment just to description.
More than disclosed only be several specific embodiment of the present invention, still, the present invention is not limited thereto, any those skilled in the art can think variation all should fall into protection scope of the present invention.
Claims (17)
1. one kind concerns and it is characterized in that searching method, may further comprise the steps:
Search server concerns search according to searching key word, obtains Search Results;
Described search server writes down described Search Results with plain text format, generates text-only file;
Described search server sends to search client with described text-only file.
2. the method for claim 1 is characterized in that, described search server generates text-only file, comprising:
Described search server generates described text-only file according to the form of CONFIG.SYS.
3. method as claimed in claim 1 or 2 is characterized in that, described text-only file is the initialization ini file.
4. the method for claim 1 is characterized in that, described search server sends to described text-only file after the search client, also comprises:
Described search client is resolved described text-only file, shows described Search Results according to analysis result in the mode of figure.
5. method as claimed in claim 4 is characterized in that, described Search Results comprises: have the information of the first node of incidence relation and the incidence relation between described searching key word and the described first node with described searching key word.
6. method as claimed in claim 5 is characterized in that, described Search Results also comprises: described searching key word and the corresponding temperature value of incidence relation between the described first node;
Described search client is showed described Search Results according to analysis result in the mode of figure, comprising:
When the temperature value of described incidence relation correspondence satisfied default displaying condition, described search client was showed incidence relation between described searching key word and the described first node according to described analysis result in the mode of figure.
7. method as claimed in claim 5 is characterized in that, described search client is showed described Search Results according to analysis result in the mode of figure, comprising:
Described search client is a starting point with the search node of described searching key word correspondence, draw the line segment of described search node, and use the incidence relation between described searching key word and the described first node to identify the line segment of described search node to described first node to described first node.
8. method as claimed in claim 5 is characterized in that, described Search Results also comprises: have the information of the Section Point of incidence relation and the incidence relation between described first node and the described Section Point with described first node.
9. method as claimed in claim 8 is characterized in that, described search client is showed described Search Results according to analysis result in the mode of figure, comprising:
Described search client is a starting point with the search node of described searching key word correspondence, draw the line segment of described search node, and use the incidence relation between described searching key word and the described first node to identify the line segment of described search node to described first node to described first node;
Described search client is a starting point with described first node, draws the line segment of described first node to described Section Point, and uses the incidence relation between described first node and the described Section Point to identify the line segment of described first node to described Section Point.
10. method as claimed in claim 4 is characterized in that, described searching key word comprises first keyword and second keyword;
Described Search Results comprises: the incidence relation between described first keyword and described second keyword.
11. method as claimed in claim 10 is characterized in that, described search client is showed described Search Results according to analysis result in the mode of figure, comprising:
Described search client is a starting point with first key node of the described first keyword correspondence, draw the line segment of described first key node, and use the incidence relation between described first keyword and described second keyword to identify the line segment of described first key node to described second key node to second key node of the described second keyword correspondence.
12. method as claimed in claim 10 is characterized in that, described Search Results also comprises: have the information of the 3rd node of incidence relation and the incidence relation between described second keyword and described the 3rd node with described second keyword.
13. method as claimed in claim 12 is characterized in that, described search client is showed described Search Results according to analysis result in the mode of figure, comprising:
Described search client is a starting point with first key node of the described first keyword correspondence, draw the line segment of described first key node, and use the incidence relation between described first keyword and described second keyword to identify the line segment of described first key node to described second key node to second key node of the described second keyword correspondence;
Described search client is a starting point with described second key node, draw the line segment of described second key node, and use the incidence relation between described second keyword and described the 3rd node to identify the line segment of described second key node to described the 3rd node to described the 3rd node.
14. a search server is characterized in that, comprising:
Search module is used for concerning search according to searching key word, obtains Search Results;
Logging modle is used for writing down the Search Results that described search module obtains with plain text format, generates text-only file;
Sending module is used for described text-only file is sent to search client.
15. search server as claimed in claim 14 is characterized in that,
Described logging modle is used for the form according to CONFIG.SYS, generates described text-only file.
16. search server as claimed in claim 14 is characterized in that,
Described sending module be used for described text-only file is compressed, and the text-only file after will compressing sends to described search client.
17. one kind concerns and it is characterized in that search system, comprising:
Search server is used for concerning search according to searching key word, obtains Search Results, and writes down described Search Results with plain text format, generates text-only file, and described text-only file is sent to search client;
Search client is used to receive the text-only file from described search server, resolves described text-only file, shows described Search Results according to analysis result in the mode of figure.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201010211060.XA CN102298591B (en) | 2010-06-28 | 2010-06-28 | A kind of relationship search methods, devices and systems |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201010211060.XA CN102298591B (en) | 2010-06-28 | 2010-06-28 | A kind of relationship search methods, devices and systems |
Publications (2)
Publication Number | Publication Date |
---|---|
CN102298591A true CN102298591A (en) | 2011-12-28 |
CN102298591B CN102298591B (en) | 2016-11-09 |
Family
ID=45359012
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201010211060.XA Active CN102298591B (en) | 2010-06-28 | 2010-06-28 | A kind of relationship search methods, devices and systems |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN102298591B (en) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104834743A (en) * | 2015-05-21 | 2015-08-12 | 孟勐 | Interpersonal connection displaying and searching method |
CN105912658A (en) * | 2016-04-11 | 2016-08-31 | 杭州有数金融信息服务有限公司 | Data search method and apparatus based on big data, and data analysis method |
CN106469180A (en) * | 2015-08-21 | 2017-03-01 | 马正方 | The many condition searcher of knowledge based point |
CN108287853A (en) * | 2017-01-10 | 2018-07-17 | 杭州有数金融信息服务有限公司 | A kind of data relationship analysis method and its system |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101110979A (en) * | 2006-07-19 | 2008-01-23 | 阿里巴巴公司 | Method, device and system for message transmission |
CN101140588A (en) * | 2007-10-10 | 2008-03-12 | 华为技术有限公司 | Method and apparatus for ordering incidence relation search result |
-
2010
- 2010-06-28 CN CN201010211060.XA patent/CN102298591B/en active Active
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101110979A (en) * | 2006-07-19 | 2008-01-23 | 阿里巴巴公司 | Method, device and system for message transmission |
CN101140588A (en) * | 2007-10-10 | 2008-03-12 | 华为技术有限公司 | Method and apparatus for ordering incidence relation search result |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104834743A (en) * | 2015-05-21 | 2015-08-12 | 孟勐 | Interpersonal connection displaying and searching method |
CN106469180A (en) * | 2015-08-21 | 2017-03-01 | 马正方 | The many condition searcher of knowledge based point |
WO2017032225A1 (en) * | 2015-08-21 | 2017-03-02 | 马正方 | Device for multiple condition search based on knowledge points |
CN105912658A (en) * | 2016-04-11 | 2016-08-31 | 杭州有数金融信息服务有限公司 | Data search method and apparatus based on big data, and data analysis method |
CN108287853A (en) * | 2017-01-10 | 2018-07-17 | 杭州有数金融信息服务有限公司 | A kind of data relationship analysis method and its system |
Also Published As
Publication number | Publication date |
---|---|
CN102298591B (en) | 2016-11-09 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106933614B (en) | Single-page application upgrading method and device | |
US6976038B2 (en) | Method and apparatus for real time creation and modification of a change log for multi-server synchronization | |
CN111683066B (en) | Heterogeneous system integration method, heterogeneous system integration device, computer equipment and storage medium | |
US8700702B2 (en) | Data extraction system, terminal apparatus, program of the terminal apparatus, server apparatus, and program of the server apparatus for extracting prescribed data from web pages | |
CN101984419A (en) | Method and device for reforming paragraphs of webpage picture content | |
CN102298591A (en) | Relation search method, device and system | |
CN109740016A (en) | Method, apparatus, server and the computer readable storage medium of music query | |
US20120054598A1 (en) | Method and system for viewing web page and computer Program product thereof | |
CN112784112A (en) | Message checking method and device | |
CN102880460A (en) | Analyzing method and device of note content | |
CN106126299B (en) | Service plug-in processing method and device | |
CN105260459A (en) | Search method and apparatus | |
CN103138871B (en) | The server data processing system of application program and method in mobile communcations system | |
CN111641690B (en) | Session message processing method and device and electronic equipment | |
CN101374307B (en) | Method and apparatus for updating digital content information of mobile equipment | |
CN109617708A (en) | A kind of compression method burying a log, equipment and system | |
CN105704215B (en) | Shared file system and corresponding document sending method and device | |
CN103210590B (en) | Compression method and equipment | |
CN103139227B (en) | A kind of application data transmission system and method being applied to mobile terminal | |
CN101419618B (en) | In-text information displaying method and apparatus | |
CN108614844B (en) | Multimedia file generation method and device | |
CN101772196A (en) | Method and system for processing message sent by mobile terminal and acting server | |
CN109857719B (en) | Distributed file processing method, device, computer equipment and storage medium | |
CN106933999B (en) | Apache lucene score highlighting method for independent search | |
CN107644022A (en) | A kind of geographical position searching method, mobile terminal and server |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
C14 | Grant of patent or utility model | ||
GR01 | Patent grant |