CN101599065A - Relevant inquiring organization system and method - Google Patents
Relevant inquiring organization system and method Download PDFInfo
- Publication number
- CN101599065A CN101599065A CNA2008101112530A CN200810111253A CN101599065A CN 101599065 A CN101599065 A CN 101599065A CN A2008101112530 A CNA2008101112530 A CN A2008101112530A CN 200810111253 A CN200810111253 A CN 200810111253A CN 101599065 A CN101599065 A CN 101599065A
- Authority
- CN
- China
- Prior art keywords
- document
- user inquiring
- unit
- inquiring
- relevant
- 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.)
- Pending
Links
Images
Abstract
The invention discloses a kind of relevant inquiring organization system and method.This system comprises the user inquiring storage unit, is used to store the user inquiring collection; Input block is used to import a user inquiring; The query filter unit is used for concentrating the selection inquiry relevant with the user inquiring of input and obtaining selection result from the user inquiring of user inquiring cell stores; And structure constructing unit, be used for making up structure and obtaining described structure to show based on selection result.
Description
Technical field
Relate generally to computer network of the present invention more specifically, relates to information retrieval and presentation mode.
Background technology
Along with increasing information is present on the network, the multiple infosystem of storing document and the interface that supplies these documents of user search being provided in background data base has appearred at present.Typical infosystem has two kinds: the 1) search engine such as Google and Baidu, by the information (webpage) of this search engine people on can access the Internet; 2) intranet systems can be visited internal document (being used in intra-company usually) by this system people.
When the user when this infosystem sends user inquiring q, the user may have two kinds of different demands to the result.First kind, the user wants to find an information relevant with q, for example, and a website, a webpage or a document.Second kind, the user wants to understand the general picture (summary in other words) of q, and this need browse a networking station, webpage or file.Usually, last demand is called as the information search demand, and back one demand is called as the information browse demand.
For the information search demand, tabulation is a kind of mode that well presents Search Results.For example search engine (for example Google or Baidu) is exactly a kind of typical example.In search engine, webpage is big more with the degree of correlation of inquiry q, and its position in tabulation is just high more, and the user is easy to find its information of interest in tabulation like this.
But for the information browse demand, the tabulation mode just has been not suitable for, because the user has to read whole tabulation, thinking and oneself sums up general picture.Time-consuming and the effort of this process.Compare with tabulation, other such as the form of hierarchical structure (hierarchy), chart (graph) or attribute value table (facet-value form) more suitable aspect the presentation information.Here, hierarchical structure, chart or attribute value table are called as " structure " (structure).Rely on such structure, people can understand summary at an easy rate.Example be online shopping website " Amazon " (Amazon), its uses hierarchical structure (for example classification such as CD, DVD and novel) to present its all commodity.
For the information browse demand, a good structure can be so that people understand summary, and therefore, the structure how to build just becomes an important problem.
For example, legacy system can make word or phrase and send the structure hierarchical structure.For example, if two speech A and B are often concurrent, think that then they are correlated with.And then, if A occurs more frequently than B, then the father node of A as B.Fig. 1 shows with " software " example (http://clusty.com) as query word.
In Fig. 1, the hierarchical chart left side is the ground floor of this hierarchical structure.This ground floor is by forming such as the node of " software download ", " software channel ", " Picasa " etc., and these speech all are the common speech (or phrase) in the page that retrieves.Wherein, node " software download " has child node, as " drive and download game download ", " software study course " etc., as shown in Figure 2.As mentioned above, " software download " why be the father node of " software study course " be because these two speech in the page of being everlasting concurrent and " software download " occur more frequently than " software study course ".
Fig. 3 utilizes same web site to move " software " again to inquire about resulting result.Twice Query Result is different.This situation is possible, because the backstage webpage may be updated between twice inquiry.About the detailed description of above-mentioned structure structure, can be referring to Lawrie, D., Croft, " the Generating Hierarchical Summaries for Web Searches " of B., SIGIR 2003, the 457-458 page or leaf.
Yet constructed like this structure does not have good readability usually, thereby so not satisfactory.Particularly, have following problem:
1. the element in the structure (element) may be and the incoherent theme of inquiry, for example " China " among Fig. 1, " Wiki ", and " all rights reserved " among Fig. 3.Here, the element in the structure for example is meant the node in hierarchical structure and the chart, and attribute in the attribute value table and value.Because this instructions uses hierarchical structure sample as an illustration, so in this manual, " element " can exchange use with " node ".
2. the element in the structure itself may not have as the sort of relation as shown in the structure, and for example " software download " is the father node of " software study course " in Fig. 2, but the two relation not in fact.
3. most of subject element do not conform to the content that the user is concerned about.Fig. 4 shows the statistics of the certain user's inquiry that comprises speech " software ", therefrom as can be seen, for " software " inquiry, most of people want to be appreciated that " antivirus software ", " sky software " etc., rather than " software channel ", " Picasa " or the like.
Fig. 5 shows the example according to the relevant inquiring organization system of prior art.As shown in Figure 5, relevant inquiring organization system 10 comprises input block 11, document storing unit 12, relevant documentation filter element 13 and structure constructing unit 14.Input block 11 receives user inquiring q, and offers relevant documentation filter element 13.Relevant documentation filter element 13 access document storage unit 12, and select the one or more document D S_qs relevant among the document sets DS from be stored in document storing unit 12 with user inquiring q, and DS_q is offered structure constructing unit 14.Structure constructing unit 14 makes up structure based on the DS_q that is provided, and exports described structure to show.The mode that makes up structure based on text is known to those skilled in the art.
Summary of the invention
As mentioned above, the constructed structure of classic method does not possess good readability, and this is based on document because of this structure and makes up.Document is not good data source.At first, the text size of document is very long, therefore is difficult to extract from document theme.Secondly, even correctly extracted theme, also be difficult to judge their degree of correlation, because their positions in document may be far, even but perhaps very near but have no association (for example " software download " among Fig. 2 and " software study course ") each other, perhaps sentence is very complicated, is difficult to the relation of analyzing.
For this reason, the invention provides a kind of relevant inquiring organization system and method.This system comprises the user inquiring storage unit, is used to store the user inquiring collection; Input block is used to import a user inquiring; The query filter unit is used for concentrating the relevant inquiry of selecting with input of user inquiring from the user inquiring of user inquiring cell stores; And structure constructing unit, be used for making up structure and obtaining described structure to show based on relevant inquiring.
Relevant inquiring method for organizing of the present invention may further comprise the steps: import a user inquiring; Concentrate the relevant inquiry of selecting with input of user inquiring from preprepared user inquiring; And make up structure and show described structure based on relevant inquiring.
Make up structure and compared following advantage based on user inquiring based on the method for document:
1. normally phrase or short sentence of user inquiring.Than the long sentence of document, its content is more substantial.Therefore, the easier theme that extracts.For example, in Fig. 4, some inquiry relevant with inquiry " software " is " antivirus software ", " compressed software ", " sky software ", " Huajun Software Field ", " software download ".Obviously, except query word " software ", nearly all speech all is a theme.
2. because user inquiring normally phrase or short sentence, therefore two concurrent speech have certain association usually in inquiry.For example, in " antivirus software ", " virus killing " is the function of " software ".
3. the inquiry that the user imported has reflected the content that the user is concerned about.For example, a lot of people send inquiry " antivirus software ", and have only the few to send " Picasa ", this explanation, and most of people want to understand the information about " antivirus software ", and not too are concerned about the information of " Picasa ".Therefore, can satisfy the demand of more users based on the structure of associated user's inquiring structuring.
Generally speaking, by making up structure, improved the readability of constructed structure based on user inquiring rather than document.
Description of drawings
Fig. 1 shows with " software " example (http://clusty.com) as query word;
Fig. 2 further shows the example of Fig. 1;
Fig. 3 shows and utilizes same web site to move " software " again to inquire about resulting result;
Fig. 4 shows the statistics of the certain user's inquiry that comprises speech " software ";
Fig. 5 shows the example according to the interrogate tissue system of prior art;
Fig. 6 shows the embodiment according to the relevant inquiring organization system of first embodiment of the invention;
Fig. 7 shows the embodiment according to the relevant inquiring organization system of second embodiment of the invention;
Fig. 8 shows the embodiment according to the relevant inquiring organization system of third embodiment of the invention;
Fig. 9 shows an example of the formed structure of inquiry " software " (hierarchical structure);
Figure 10 shows the structure according to structure constructing unit 104 of the present invention;
Figure 11 shows the example that group forms;
Figure 12 shows an example that merges the element with identical meanings;
Figure 13 shows employing second and the third method judges that " sky software " and " sky software centre " has the example of identical meanings;
Figure 14 shows the example that makes up supplementing structure; And
Figure 15 shows according to relevant inquiring method for organizing 110 of the present invention.
Embodiment
Fig. 6 shows the embodiment according to the relevant inquiring organization system of first embodiment of the invention.As shown in Figure 6, relevant inquiring organization system 100 comprises input block 101, user inquiring storage unit 102, query filter unit 103 and structure constructing unit 104.Input block 101 is used to receive the inquiry q from the user, and offers query filter unit 103.User inquiring storage unit 102 has been stored one group of user inquiring (being also referred to as the user inquiring collection) QS, QS be in advance in system storage good, and can be fix or upgrade at any time.The user inquiring q that query filter unit 103 receives from input block 101, and from QS, select the one or more inquiries (be called QS_q) relevant with q, and selection result is offered structure constructing unit 104.Structure constructing unit 104 makes up structure ST_q based on this selection result (promptly relevant with user inquiring q one or more inquiry QS_q), and exports constructed structure to show.Here, the technology that makes up structure based on selection result (one or more inquiry QS_q) is well known to a person skilled in the art, and is not here described in detail.
Fig. 7 shows the embodiment according to the relevant inquiring organization system of second embodiment of the invention.As shown in Figure 7, the relevant inquiring organization system 200 of second embodiment is except those assemblies that the system 100 that comprises Fig. 6 comprises, also comprise document stickup unit 105, document stickup unit 105 is used to receive the structure structure ST_q from structure constructing unit 104, and document pasted on the described structure, the structure of document is arranged to show to obtain with output-stuck.Here, pasting the document of pasting unit 105 by document can be entire document collection DS, also can from document sets DS, select, with the relevant one or more documents of importing of user inquiring q.As mentioned above, it is well known by persons skilled in the art selecting the operation of the one or more documents relevant with user inquiring q here from document sets DS, therefore here is not described in detail.QS is similar with the user inquiring collection, and document sets DS is that in advance storage is good, and can be fix or upgrade at any time.
Fig. 8 shows the embodiment according to the relevant inquiring organization system of third embodiment of the invention.As shown in Figure 8, the relevant inquiring organization system 300 of the 3rd embodiment is except those assemblies that the system 100 that comprises Fig. 6 comprises, also comprise user inquiring amending unit 106, this unit 106 is used for revising user inquiring q based on structure constructing unit 104 constructed structures.In 106, system presents to the user to 104 constructed structures, and therefrom selects one or more elements to replace the original user inquiry by the user.In existing systems, for example Google or Baidu, when the user imported an inquiry, system can provide " relevant search " usually below back page, and the user can select one to replace original inquiry.The shortcoming of this mode is when " relevant search " is a lot, and the user need spend the long time to browse relevant search and therefrom select replacement query.And the user is presented in all relevant searches with the mode of structure, and then can reduce the time that the user browsed and selected replacement query, reach the purpose that helps the user thus.Again for example, when user input query " software ", after the structure that the system of having browsed provides, can being easy to judge him, actual what want to inquire about is " Huajun Software Field ", and revises the inquiry of oneself in view of the above.
From the foregoing description as can be seen, the very important point is to select from user inquiring collection QS and the relevant one or more inquiry QS_q of user inquiring q that import in an embodiment of the present invention.This just needs to judge the degree of correlation of two user inquirings, and to those skilled in the art, this judgment technology is known, and can be accomplished in several ways.For example, for two user inquiring q1 and q2, can judge the ratio of their text length overall by their lap.For example, the degree of correlation R of two user inquiring q1 and q2 (q1, q2) can calculate by following formula:
R(q1，q2)＝2*Len(Ov(q1，q2))/(Len(q1)+Len(q2))
Wherein Len (w) is the length computation function of text w, and Ov (q1, q2) lap of expression q1 and q2.(q1, value q2) surpasses under the situation of predefined threshold value T (for example 0.5), thinks that these two user inquiring q1 and q2 are relative to each other at degree of correlation R.Notice that above-mentionedly judge recently that by lap the method for the degree of correlation only is an example, scope of the present invention is not limited to this.
Fig. 9 shows an example of the formed structure of inquiry " software " (hierarchical structure).This figure only shows the constructed structure by the system of first embodiment,, does not also paste the structure of document that is.As mentioned above, the mode based on text structure structure is well known to a person skilled in the art.With Fig. 9 is example, at first, retrieves the one or more user inquirings relevant with inquiring about " software ", and Fig. 4 shows the part of these relevant inquirings.Then, from these inquiries, extract key word (just above-mentioned theme) such as " virus killing ", " sky ", then, according to key word in inquiring about and send institutional framework, like this, just formed structure as shown in Figure 9.Notice that above-mentioned mode according to text structure structure only is an example, scope of the present invention is not limited to this.
Figure 10 shows the structure according to structure constructing unit 104 of the present invention.As shown in figure 10, structure constructing unit 104 comprises infrastructures built unit 1041 and extension process unit 1042.The QS_q that infrastructures built unit 1041 provides based on query filter unit 103 comes the basis of formation structure, and resulting foundation structure is offered extension process unit 1042.Extension process unit 1042 is further handled foundation structure as required, with the structure that obtains showing.As shown in figure 10, extension process unit 1042 can comprise that group forms unit 201, element merge cells 202 and structure supplementary units 203.These three unit are independent of each other, and extension process unit 1042 can comprise in these unit any one, also can comprise wherein any two or all simultaneously, also can not comprise any one (at this moment foundation structure is output) in these unit certainly.
It should be noted that structure supplementary units 203 wherein is used for carrying out structure and replenish when certain or some elements on the described structure ST_q having been pasted the document of a predetermined level is exceeded after document stickup unit 105 pastes document on the structure ST_q.Structure ST_q herein can be the foundation structure of not carrying out any extension process, also can be to form structure after any one or both in unit 201 and the element merge cells 202 carry out extension process by group.
To describe this three unit below in detail.
Group forms the coherent element that unit 201 is used for the structure that will make up and is integrated in the group.Particularly, some element in the structure may belong to same classification.If such element can be included in the group, then can improve the readability of structure.For example, in structure shown in Figure 9, " virus killing " and " compression " refers to the type of software, and " sky " and " Hua Jun " refers to the title of two famous software websites.Obviously, if " virus killing " and " compression " is included into a group, " sky " and " Hua Jun " is included into another group, then can improve the readability of the structure that forms, and the user can understand the implication and the content of " software " rapidly, as shown in figure 11.
A kind of exemplary method is to judge according to the related keyword of node whether a plurality of elements should be integrated in the group.Its ultimate principle is that the same related keyword shared of two element e1 and e2 is many more, and then two element e1 and e2 are just possible more in same group.For example, " virus killing " and " compression " is included into a group, because they all have same related keyword, as " download ", " freely ", " up-to-date " ... or the like.Relevant inquirings such as " antivirus software download ", " compressed software download ", " free antivirus software ", " free compressed software ", " up-to-date antivirus software ", " up-to-date compressed software " have been this means.And " sky " and " Hua Jun " is included into a group, because they all have such as related keywords such as " homepage ", " website ", " forum ", " seniority among brothers and sisters ".Relevant inquirings such as " sky software homepage ", " magnificent army software homepage ", " sky software website ", " magnificent army software website ", " sky software forum ", " software forum of magnificent army ", " sky software seniority among brothers and sisters ", " magnificent army software seniority among brothers and sisters " have been this means.
Element merge cells 202 is used for the element with identical meanings is merged into an element.Particularly, provide some when inquiry the user, what they wanted to seek originally is same answer.For example, in Fig. 9, " sky " and its child node " are stood " and are derived from inquiry " sky software " and " sky software station " respectively, but in fact these two inquiries refer to same website (www.skycn.com).Therefore, these two nodes are merged into a node help the user to be more readily understood summary, and improved the readability of structure.Another example is " magnificent army software " and " Huajun Software Field ".Figure 12 shows this example.
To achieve these goals, need to judge which type of element is the element with identical meanings.Three kinds of determination methods have been provided below.These three kinds of methods are independent of each other, can independently use or be used in combination.
First method is the spelling correction method.When user's input had the query word of misspelling, system can check out these mistakes by some automatic or artificial mode, and provides the query word of correct spelling.Some search engine provides this method.For example, when user input query " puer tea ", search engine may be inquired " whether ' Pu'er tea ' of your inquiry? "When system determines certain inquiry misspelling is arranged, then it is merged on the element of correct spelling.For example, in this example, system merges into a node with two inquiries " puer tea " and " Pu'er tea ".
Second method is that two elements of judgement are pasted the sharing of documents ratio.For example, for two element e1 and e2, calculate the ratio of their shared document to their total document.If this ratio is higher than certain predefined threshold value, think that then these two elements have identical meanings, and they should be merged into an element.
The third method is to check the text of query word nidus in pasting document.For example, when element e1 is writing a Chinese character in simplified form of e2, under the situation as e1=" sky software ", e2=" sky software centre ", check the document that pastes these two elements.If e2 also occurs under the situation that e1 occurs, think that then element e1 and e2 have identical meanings.
Figure 13 shows and adopts second (Method 2) and the 3rd (Method 3) kind method to judge that " sky software " and " sky software centre " has the example of identical meanings.
Structure supplementary units 203 is used to some elements to make up supplementing structure, and these elements are pasted with large volume document usually, and do not have minor structure, even minor structure is perhaps arranged, can not paste these documents in the element in the minor structure.The typical case of this element be element " other " (others), in general, all can not all be could be adhered to element " other " by the document that current structure covered, so " other " usually are pasted with large volume document.In addition, the element of relevant inquiring theme correspondence seldom also usually is pasted with large volume document.
Obviously, to being pasted with the element of large volume document, the user need take much time and energy is browsed the overall picture that these documents could be understood element.And be that such element makes up supplementing structure by the structure supplementary units, can reduce user's institute's time spent and energy.Figure 14 shows the example of the complementary element of formation such as " news ".Notice that the structure supplementary units can adopt the traditional structure construction method based on document.
Figure 15 shows according to relevant inquiring method for organizing 110 of the present invention.This method can be carried out by relevant inquiring organization system 100,200 according to the present invention or 300.This method starts from step 301.In step 301, import a user inquiring q.In step 302, from pre-prepd user inquiring collection QS, select the inquiry QS_q relevant and obtain selection result with the user inquiring q of input.In step 303, make up structure and show this structure based on selection result.In step 304, (that is, show when being pasted with the structure of document) where necessary at needs paste document on the described structure and obtain be pasted with document structure to show.In step 304 ', based on constructed structure user inquiring q is revised.Step 304 and 304 ' optional, but can select as required to carry out.As mentioned above, the document of stickup can be entire document collection DS, also can be from document sets DS, select with the input the relevant one or more document D S_q of user inquiring q.User inquiring collection QS and document sets DS are that system is preprepared, and can be fix or upgrade at any time.Then, in step 305, this method finishes.
The foregoing description can have various modifications, combination and replacement.For example, in relevant inquiring organization system 100 of the present invention, a storage unit can also be arranged between unit 103 and 104, be used for storing the selected one or more inquiry QS_qs relevant temporarily with user inquiring q.And, before the constructed structure of unit 104 outputs, also can store temporarily, and then output to outside to show to this structure.All such modifications all those skilled in the art will appreciate that.
Should be appreciated that the present invention is not limited to the foregoing description.Scope of the present invention should be defined by the claims.
Claims (24)
1. relevant inquiring organization system comprises:
The user inquiring storage unit is used to store the user inquiring collection;
Input block is used to import a user inquiring;
The query filter unit is used for concentrating the selection inquiry relevant with the described user inquiring of input and obtaining selection result from the described user inquiring of described user inquiring cell stores; And
Structure constructing unit is used for making up structure and obtaining described structure to show based on described selection result.
2. the system as claimed in claim 1 comprises:
Document is pasted the unit, be used for pasting document on the described structure and obtain be pasted with document structure to show.
3. system as claimed in claim 2, wherein said document selects from document sets, with the relevant document of described user inquiring of input.
4. the system as claimed in claim 1 comprises:
The user inquiring amending unit is used for based on the described user inquiring of described structural modifications.
5. system as claimed in claim 1 or 2, wherein said structure constructing unit comprises:
The infrastructures built unit is used for based on described selection result basis of formation structure; And
The extension process unit is used for constructed foundation structure is carried out extension process to obtain the described structure that will show.
6. system as claimed in claim 5, wherein:
Described extension process unit comprises that group forms the unit, and described group forms the unit and is used for the coherent element of described foundation structure is integrated in the group.
7. system as claimed in claim 5, wherein:
Described extension process unit comprises the element merge cells, and described element merge cells is used for described foundation structure is had the element of identical meanings and merges into an element.
8. system as claimed in claim 7, wherein:
Described element merge cells uses the spelling correction method to discern the element with identical meanings.
9. system as claimed in claim 7, wherein:
Described element merge cells uses shared document recently to discern the element with identical meanings.
10. system as claimed in claim 7, wherein:
Described element merge cells uses stickup documentation review method to discern the element with identical meanings.
11. system as claimed in claim 5, wherein:
Described extension process unit comprises the structure supplementary units, and described structure supplementary units is that described document is pasted the element structure supplementing structure that the document of a predetermined level is exceeded has structurally been pasted in the unit.
12. the system as claimed in claim 1, wherein said structure are the forms of hierarchical structure, chart or attribute value table.
13. a relevant inquiring method for organizing comprises:
Import a user inquiring;
Concentrate the selection inquiry relevant and obtain selection result from pre-prepd user inquiring with the described user inquiring of input; And
Make up structure and show described structure based on described selection result.
14. method as claimed in claim 13 comprises:
Paste document on the described structure and obtain be pasted with document structure to show.
15. method as claimed in claim 14, wherein said document are selected from document sets, with the input the relevant document of described user inquiring.
16. method as claimed in claim 13 comprises:
Based on described structure described user inquiring is revised.
17. as claim 13 or 14 described methods, wherein:
The step that makes up structure comprises based on described selection result basis of formation structure, and constructed foundation structure is carried out extension process to obtain the described structure that will show.
18. method as claimed in claim 17, wherein:
Described extension process comprises the coherent element in the described foundation structure is integrated in the group.
19. method as claimed in claim 17, wherein:
Described extension process comprises merges into an element with the element that has identical meanings in the described foundation structure.
20. method as claimed in claim 19, wherein:
Described merging has the step of the element of identical meanings and uses the spelling correction method to discern the element with identical meanings.
21. method as claimed in claim 19, wherein:
Described merging has the step of the element of identical meanings and uses shared document recently to discern the element with identical meanings.
22. method as claimed in claim 19, wherein:
Described merging has the step of the element of identical meanings and uses stickup documentation review method to discern the element with identical meanings.
23. method as claimed in claim 17, wherein:
The element that described extension process is included as the document that is pasted with a predetermined level is exceeded makes up supplementing structure.
24. method as claimed in claim 13, wherein said structure are the forms of hierarchical structure, chart or attribute value table.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNA2008101112530A CN101599065A (en) | 2008-06-05 | 2008-06-05 | Relevant inquiring organization system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNA2008101112530A CN101599065A (en) | 2008-06-05 | 2008-06-05 | Relevant inquiring organization system and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN101599065A true CN101599065A (en) | 2009-12-09 |
Family
ID=41420513
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CNA2008101112530A Pending CN101599065A (en) | 2008-06-05 | 2008-06-05 | Relevant inquiring organization system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN101599065A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102609500A (en) * | 2012-02-01 | 2012-07-25 | 北京百度网讯科技有限公司 | Question push method, question answering system using same and search engine |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1750002A (en) * | 2005-10-26 | 2006-03-22 | 孙斌 | Method for providing research result |
| CN1851709A (en) * | 2006-05-25 | 2006-10-25 | 浙江大学 | Embedded multimedia content-based inquiry and search realizing method |
| CN1898670A (en) * | 2003-12-30 | 2007-01-17 | Google公司 | Systems and methods for improving search quality |
-
2008
- 2008-06-05 CN CNA2008101112530A patent/CN101599065A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1898670A (en) * | 2003-12-30 | 2007-01-17 | Google公司 | Systems and methods for improving search quality |
| CN1750002A (en) * | 2005-10-26 | 2006-03-22 | 孙斌 | Method for providing research result |
| CN1851709A (en) * | 2006-05-25 | 2006-10-25 | 浙江大学 | Embedded multimedia content-based inquiry and search realizing method |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102609500A (en) * | 2012-02-01 | 2012-07-25 | 北京百度网讯科技有限公司 | Question push method, question answering system using same and search engine |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10650087B2 (en) | Systems and methods for content extraction from a mark-up language text accessible at an internet domain | |
| Elmeleegy et al. | Mashup advisor: A recommendation tool for mashup development | |
| Xu et al. | Towards the semantic web: Collaborative tag suggestions | |
| Chirita et al. | P-tag: large scale automatic generation of personalized annotation tags for the web | |
| US8510322B2 (en) | Enriched search features based in part on discovering people-centric search intent | |
| US7519588B2 (en) | Keyword characterization and application | |
| US7844592B2 (en) | Ontology-content-based filtering method for personalized newspapers | |
| CA2727537C (en) | System and method for compending blogs | |
| CN107180093B (en) | Information searching method and device and timeliness query word identification method and device | |
| US8250074B2 (en) | Document processing system and method thereof | |
| KR100930455B1 (en) | Method and system for generating search collection by query | |
| US20090228482A1 (en) | Network search method, system and device | |
| US8812508B2 (en) | Systems and methods for extracting phases from text | |
| WO2006108069A2 (en) | Searching through content which is accessible through web-based forms | |
| US9971828B2 (en) | Document tagging and retrieval using per-subject dictionaries including subject-determining-power scores for entries | |
| Kirsch et al. | Beyond the web: Retrieval in social information spaces | |
| CN107491465A (en) | For searching for the method and apparatus and data handling system of content | |
| Nakatsuji et al. | Detecting innovative topics based on user-interest ontology | |
| CN103226601A (en) | Method and device for image search | |
| KR101140724B1 (en) | Method and system of configuring user profile based on a concept network and personalized query expansion system using the same | |
| JP2010123036A (en) | Document retrieval device, document retrieval method and document retrieval program | |
| JP4759600B2 (en) | Text search device, text search method, text search program and recording medium thereof | |
| Colavizza | A diachronic study of historiography | |
| CN101599065A (en) | Relevant inquiring organization system and method | |
| Wei et al. | Integrated recommender systems based on ontology and usage mining |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20091209 |