CN102184230B - The methods of exhibiting of a kind of Search Results and device - Google Patents

The methods of exhibiting of a kind of Search Results and device Download PDF

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CN102184230B
CN102184230B CN201110121544.XA CN201110121544A CN102184230B CN 102184230 B CN102184230 B CN 102184230B CN 201110121544 A CN201110121544 A CN 201110121544A CN 102184230 B CN102184230 B CN 102184230B
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search results
entry
classification
searching request
exhibiting
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CN102184230A (en
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王磊
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Beijing Baidu Netcom Science and Technology Co Ltd
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Beijing Baidu Netcom Science and Technology Co Ltd
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Priority to PCT/CN2012/073508 priority patent/WO2012152157A1/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/33Querying
    • G06F16/338Presentation of query results

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  • Theoretical Computer Science (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
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  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The invention provides methods of exhibiting and the device of a kind of Search Results, wherein said methods of exhibiting includes: A. obtains the searching request of user;B. inquiring about in data base according to described searching request, to obtain Search Results, wherein said Search Results is made up of one or more classifications;C. the demand properties of described searching request is judged;When D. determining that needs carry out polymerization displaying to described Search Results according to the judged result of described step C, at displayed page, described Search Results is carried out polymerization and show.By the way, can effectively increase the probability that Search Results is shown in homepage, increase the probability that this Search Results is clicked on by user.

Description

The methods of exhibiting of a kind of Search Results and device
[technical field]
The present invention relates to searching engine field, particularly to methods of exhibiting and the device of a kind of Search Results.
[background technology]
In the middle of existing search technique, the displaying to Search Results is typically with certain ordering strategy Search Results is arranged, does not the most consider the homogeneous feature of Search Results.Such as, user is based on ground Inquiring about " chaffy dish " in the search engine of reason entity, the Search Results entry of return may have that " chaffy dish is dragged in seabed (shop, peony garden) ", " chaffy dish (Xi Dandian) is dragged in seabed " etc., if " chaffy dish is dragged in seabed " has tens Family shop, according to certain ordering strategy, these tens shops the most all come the prostatitis of search result list, just User can be caused to search for " chaffy dish ", and see in the prostatitis of search result list is all " chaffy dish is dragged in seabed " Situation about putting up the shutter mutually.Refer to Fig. 1, Fig. 1 is that in the embodiment of the present invention, Search Results is entered by prior art Schematic diagram when row is shown.It practice, user's search " chaffy dish ", it is likely that it is not intended to look for " seabed Drag for chaffy dish " put up the shutter mutually, in this case, user is in order to obtain the result oneself wanted, it is necessary to more Many click action, thus add the expense of user.From the perspective of another one, statistical data shows There are about the user of 80 percent when scanning for, all just look at the relevant bar of search result list homepage Mesh, but under the methods of exhibiting of prior art, may account for owing to having the Search Results entry of homogeneous feature According to multiple positions of homepage, the most just decrease the machine that other Search Results entries are shown in homepage Rate, decreases user and clicks on the probability of this Search Results entry.
[summary of the invention]
The technical problem to be solved is to provide methods of exhibiting and the device of a kind of Search Results, with The methods of exhibiting solving prior art can reduce the Search Results defect in homepage displaying probability.
The present invention solves technical problem and employed technical scheme comprise that displaying side that a kind of Search Results is provided Method, including: A. obtains the searching request of user;B. look in data base according to described searching request Asking, to obtain Search Results, wherein said Search Results is made up of one or more classifications;C. judge described Searching request has general demand properties or precision demand attribute;D. when described searching request, there are described general need When seeking attribute, at displayed page, described Search Results is carried out polymerization and show.
According to one of present invention preferred embodiment, described step C judges that described searching request has general demand and belongs to Property or the method for precision demand attribute at least include following one: C1. by general demand characteristic vocabulary to described Searching request carries out coupling checking, wherein has described general demand by the described searching request of described checking and belongs to Property, otherwise there is described precision demand attribute;C2. the quantity of Search Results under each classification is calculated, with To the maximum of described quantity, when described maximum is less than when setting threshold value, it is judged that described searching request has Described precision demand attribute, otherwise has described general demand properties.
According to one of present invention preferred embodiment, described step D farther includes: when described searching request has When having described precision demand attribute, at described displayed page, described Search Results is carried out non-polymeric displaying.
According to one of present invention preferred embodiment, the form that described polymerization is shown is by the search under identical category Result is shown as an entry.
According to one of present invention preferred embodiment, described entry is made up of the mark of described entry correspondence classification, Wherein said mark includes descriptor, descriptive matter in which there or picture.
According to one of present invention preferred embodiment, if the Search Results of described entry correspondence classification is more than one, Described entry farther includes the labelling of the Search Results under one or more described entry correspondence classification, wherein Described labelling includes word, symbol or diagram.
According to one of present invention preferred embodiment, described method farther includes: E. clicks on described bar as user During mesh, show the Search Results under described entry correspondence classification according to preset strategy.
According to one of present invention preferred embodiment, described preset strategy at least includes following one: E1. opens one Individual new page shows the Search Results under described entry correspondence classification;E2. at former page jump to described entry pair Answer the Search Results under classification;E3. at the former page, described entry expanded into searching under described entry correspondence classification -hitch fruit.
According to one of present invention preferred embodiment, if described Search Results comprises geography information feature, described Step D shows map at described displayed page further.
According to one of present invention preferred embodiment, described method farther includes: F. moves when the mouse of user During to described entry, mark the position of Search Results under described entry correspondence classification on the map.
Present invention also offers the exhibiting device of a kind of Search Results, including: receive unit, be used for obtaining use The searching request at family;Search unit, for inquiring about in data base according to described searching request, with To Search Results, wherein said Search Results is made up of one or more classifications;Judging unit, is used for judging Described searching request has general demand properties or precision demand attribute;First display unit, for when described When searching request has described general demand properties, at displayed page, described Search Results is carried out polymerization and show.
According to one of present invention preferred embodiment, described judging unit judges that described searching request has general demand The method of attribute or precision demand attribute at least includes following one: by general demand characteristic vocabulary to described Searching request carries out coupling checking, wherein has described general demand by the described searching request of described checking and belongs to Property, otherwise there is described precision demand attribute;Calculate the quantity of Search Results under each classification, to obtain The maximum of described quantity, when described maximum is less than when setting threshold value, it is judged that described searching request has institute State precision demand attribute, otherwise there is described general demand properties.
According to one of present invention preferred embodiment, described first display unit is further used for when described search please Ask time there is described precision demand attribute, at described displayed page, described Search Results is carried out non-polymeric displaying.
According to one of present invention preferred embodiment, the form that described polymerization is shown is by the search under identical category Result is shown as an entry.
According to one of present invention preferred embodiment, described entry is made up of the mark of described entry correspondence classification, Wherein said mark includes descriptor, descriptive matter in which there or picture.
According to one of present invention preferred embodiment, if the Search Results under described entry correspondence classification is more than one Individual, described entry farther includes the labelling of the Search Results under one or more described entry correspondence classification, Wherein said labelling includes word, symbol or diagram.
According to one of present invention preferred embodiment, described device farther includes the second display unit, for working as When user clicks on described entry, show the Search Results under described entry correspondence classification according to preset strategy.
According to one of present invention preferred embodiment, described preset strategy at least includes following one: open one New page shows the Search Results under described entry correspondence classification;At former page jump to described entry correspondence class Search Results under not;At the former page, described entry expanded into the Search Results under described entry correspondence classification.
According to one of present invention preferred embodiment, if described Search Results comprises geography information feature, described First display unit is further used for showing map at displayed page.
According to one of present invention preferred embodiment, described device farther includes to mark unit, for working as user Mouse when moving to described entry, mark the Search Results under described entry correspondence classification on the map Position.
As can be seen from the above technical solutions, show by Search Results being carried out polymerization, can be effectively Increase the probability shown in homepage of Search Results, thus increase that this Search Results clicked on by user can Energy property, controls, by the demand properties of searching request, the logic that polymerization is shown simultaneously so that polymerization is shown It not simply with the classification of Search Results as foundation, but with the needs of user as foundation, contribute to carrying High Consumer's Experience.
[accompanying drawing explanation]
Schematic diagram when Fig. 1 is that in the embodiment of the present invention, Search Results is shown by prior art;
Fig. 2 is the schematic flow sheet of the embodiment one of the methods of exhibiting of Search Results in the embodiment of the present invention;
Fig. 3 is the schematic diagram of the embodiment that Search Results polymerization is shown in the embodiment of the present invention;
Fig. 4 is the schematic diagram of the embodiment of the non-polymeric displaying of Search Results in the embodiment of the present invention;
Fig. 5 is the embodiment showing the Search Results under an entry correspondence classification in the embodiment of the present invention Schematic diagram;
Fig. 6 is the Search Results in the embodiment of the present invention under the former page launches an entry correspondence classification The schematic diagram of embodiment;
Fig. 7 is the schematic flow sheet of the embodiment two of the methods of exhibiting of Search Results in the embodiment of the present invention;
Fig. 8 is the schematic diagram of embodiment during displayed page displaying map in the embodiment of the present invention;
Fig. 9 is the structural representation frame of the embodiment one of the exhibiting device of Search Results in the embodiment of the present invention Figure;
Figure 10 is the structural representation frame of the embodiment two of the exhibiting device of Search Results in the embodiment of the present invention Figure.
[detailed description of the invention]
In order to make the object, technical solutions and advantages of the present invention clearer, below in conjunction with the accompanying drawings and specifically Embodiment describes the present invention.
Refer to the embodiment one that Fig. 2, Fig. 2 are the methods of exhibiting of Search Results in the embodiment of the present invention Schematic flow sheet.As in figure 2 it is shown, the methods of exhibiting of Search Results includes:
Step 101: obtain the searching request of user.The searching request obtaining user is by subsequent treatment Basis, this is as broad as long with search of the prior art, can get searching of user by search box Rope is asked.
Step 102: inquire about in data base according to described searching request, to obtain Search Results, Wherein said Search Results is made up of one or more classifications.
Such as, in cosmetics site search " emulsion ", be likely to be obtained " Clinique skin cream ", " Clinique suntan lotion ", " Biotherm skin cream " etc., searches for market in search engine based on geographical entity, is likely to be obtained " China Connection shop, mall Shangdi ", " shop, Hua Lian mall five road junction ", " shop, the Asian Games Village, Hua Tang market " etc., these search Result has category feature, such as " Clinique skin cream " and " Clinique suntan lotion " and broadly falls into Clinique brand, " shop, mall Shangdi, Hua Lian " and " shop, Hua Lian mall five road junction " broadly fall into Hua Lian mall.According to concrete demand Difference, classification is used for representing the attribute of various different levels, can include but being not limited only to: brand, district Territory, song, film, food etc..As long as it can be distinguished by this attribute with other Search Results, So this attribute broadly falls into classification category described in the invention.
Data in data base have category feature, this is because the data in data base have classification spy Levy.Pass through data mining, it is possible to achieve the cluster to data.It is described below and can be used in the present invention Data digging method.
Method one: extract classification key word by feature masterplate, then obtain with classification key word and belong to this Data under classification, finally the data belonged under same classification for getting stamp identical data mark Sign.
Above-mentioned feature masterplate, it is common that confirm that there is higher accuracy rate by statistical data.Such as Carrying out data mining in data base based on geographical entity, statistical data shows that ××× () exists When representing a trade company with chain store's feature, having higher accuracy rate, wherein ××× represents home office Trade name, and in bracket, @@@represents the trade name in branch.Therefore by ××× (@@@) such Feature masterplate, it is possible to first the trade name of home office is extracted, and the trade name of home office also represent a business The classification at family, can be as the key word of classification.Such as: " (Zhong Guan-cun) is dragged in seabed " just coupling is above Feature masterplate, " seabed is dragged for " just can extract the key word as classification.According to database characteristics Difference, other possible feature masterplates be also possible that ×××, ×××: etc..
After obtaining the key word (for total trade name in above example) of classification, it is possible to use such pass Keyword scans in data base, namely all data that can mate this key word is all excavated Out, all data belonged under the category are obtained.Still illustrate with above example, if the class obtained Other key word is " seabed is dragged for ", then during with this key word removal search, and the result that may obtain has " sea Shop, chaffy dish peony garden is dragged at the end ", " branch, chaffy dish Chaoyang is dragged in seabed ", " table delicacies street is dragged in seabed " etc. result, If for all branch finding seabed Lao Zhejia chain store, then the feature additional by some is entered Row filters, it is possible to from these results, all branch are extracted.Same class is belonged in order to find All unit of other geographical entity, the supplementary features that can use, generally have: shop (branch), row (point Row, subbranch), school (branch school), institute (branch), institute's (point institute) etc..These additional features Can obtain by the way of machine excavation adds artificial supplementation.By means of which, in example described above, Just " shop, chaffy dish peony garden is dragged in seabed ", " branch, chaffy dish Chaoyang is dragged in seabed " can be extracted, and " seabed Drag for table delicacies street " will be filtered.
After obtaining belonging to the other data of same class, the data of the category will be stamped identical data mark Signing, the other data of such as same class all have an identical category IDs number.
Method two: all data in data base are sorted according to title, so belongs to same category of number According to coming adjacent position.The all data of sequential scan, by the longest public word in one group of data of continuous print The length of string specifies the data of threshold value to find out more than one, and this public word string is exactly a potential classification Key word, one group of data with this public word string just belong to this classification.One can be entered by filtering policy Step improves the accuracy excavated, such as manual examination and verification or according to some additional features, as above mentions in example Shop (branch), row (in lines, subbranch), school (branch school), institute (branch), institute's (point institute) Etc. filtering.
Such as: in data base based on product excavate, " Biotherm skin cream ", " Biotherm sunscreen cream ", " the ultimate attainment essence of Biotherm ", " Biotherm spring water alive divides dew " etc., when sequence, it is in adjacent position Putting, the longest public word string that can extract is " Biotherm ", and therefore classification key word just may be considered " green Ou Quan ", and " Biotherm skin cream ", " Biotherm sunscreen cream ", " the ultimate attainment essence of Biotherm ", " green Europe Spring spring water alive divides dew " it is construed as the data under " Biotherm " this classification.
Or be to carry out data mining in data base based on geographical entity, " chaffy dish peony garden is dragged in seabed Shop ", " branch, Haidian District is dragged in seabed ", " chaffy dish Zhong Guan-cun is dragged in seabed " etc., when sequence, be in adjacent Position, the longest public word string that can extract is " seabed is dragged for ", therefore classification key word just it is believed that It is " seabed is dragged for ", and " shop, chaffy dish peony garden is dragged in seabed ", " branch, Haidian District is dragged in seabed ", " chaffy dish is dragged in seabed Zhong Guan-cun " it is construed as the data under " seabed is dragged for " this classification.
After obtaining belonging to the other data of same class, the data of the category will be stamped identical data mark Signing, the other data of such as same class all have an identical category IDs number.
Method three: by the semantic analysis to content of pages, excavate the theme of the page, thus cluster.
Such as in the data base of universal search engine, by content of pages is carried out semantic analysis, can obtain To the theme of the page, what the theme of the page represented is the content described by the page, and a page can include Multiple themes.Such as: one describes how with the webpage of surfing Internet with cell phone, potentially included " mobile phone ", " on Net " two themes, a theme namely classification.
After obtaining belonging to the other data of same class, the data of the category will be stamped identical data mark Signing, the other data of such as same class all have an identical category IDs number, in the above-mentioned example In son, each page can mark No. ID of one or more classification.
Step 103: judge the demand properties of described searching request.Described demand properties includes that general demand belongs to Property and precision demand attribute.It is relatively easy that the most general demand properties refers to search for key word, can match The scope of Search Results compares user's search need widely, such as user's search " emulsion ", and its purpose is also Be not configured to the product finding certain to determine, but in order to obtain more from " emulsion " such search key Many information, to help him to carry out next step decision-making.And precision demand attribute refers to search for key word phase To clearly, user compares when scanning for this key word and determines the product scope oneself wanting to look for, such as User searches for " shop, chaffy dish peony garden is dragged in seabed ", it is simply that expect that the information in shop, peony garden is dragged in seabed, and not It is intended to know the situation in other brand chafing dish shops, is not to arrive seabed to drag for the situation in other shops, this When planting, the demand of user is exactly accurate.
Judge that the method for the demand properties of searching request can include the combination of following any one or more:
1, by general demand characteristic vocabulary, searching request is carried out coupling checking, wherein by searching of verifying Rope request has general demand properties, otherwise has precision demand attribute.
General demand characteristic vocabulary can be obtained by several approach, is first by common classification chart, such as The vocabulary divided with geographic area: Haidian, Chaoyang, Fengtai etc., or the vocabulary divided with brand: Sony, Biotherm, Nokia etc., these classification charts are easy to collect according to general knowledge.Secondly, general demand characteristic Vocabulary can also search for log acquisition by user, and the method for acquisition is first from the search word that user is conventional Excavating some high frequency words and can return the search word of more Search Results, concrete way will be for searching for Frequency extracts higher than the search word of a setting threshold value and maybe the Search Results quantity returned is higher than one The search word setting threshold value extracts, and then clusters the search word extracted, specifically can lead to The method crossing machine learning realizes, and filters out the search word after impurity word finally by manual examination and verification, just Can be as the Feature Words of general demand characteristic vocabulary.
2, the quantity of Search Results under each classification is calculated, to obtain the maximum of described quantity, when Described maximum, less than when setting threshold value, is considered as searching request and has precision demand attribute, otherwise have General demand properties.
Search Results can belong to one or more classification, so calculating ownership respectively under each classification The quantity of Search Results, such that it is able to obtain in these quantity maximum.Such as search for Zhong Guan-cun Chaffy dish, obtains " shop, peony garden is dragged in seabed ", " HaiLong Building shop is dragged in seabed ", " peppery grandmother's chaffy dish ", " little fertilizer Yang Zhichunludian ", the Search Results such as " little Fei Yang Beijing great Xue Dian ".These Search Results have class label, According to class label, these Search Results are belonging respectively to three classes: " seabed is dragged for ", " little fertile sheep ", " peppery grandmother ". Wherein the Search Results under " seabed is dragged for " and " little fertile sheep " classification is 2, the Search Results under " peppery grandmother " It is 1.Under each classification, the maximum of the quantity of Search Results is 2, if the threshold value set is as 3, due to Maximum is less than the threshold value set, it is possible to judge that " Zhong Guan-cun chaffy dish " just has precision demand attribute, If but the threshold value set is as 1, owing to maximum has been more than the threshold value set, therefore will determine that " middle pass Village's chaffy dish " there is general demand properties.
Step 104: when described searching request has general demand properties, at displayed page to described search Result carries out polymerization and shows.The form that polymerization is shown is that the Search Results under identical category is shown as one Entry.Refer to Fig. 3, Fig. 3 is the showing of embodiment that in the embodiment of the present invention, Search Results polymerization is shown It is intended to.
As it is shown on figure 3, classification is the title of trade company, if " green filament silk ribbon moulding " is a classification, " LA BELLEZA times of beautiful Sha's Hair Dressing Salon " it is a classification, " aesthetic cosmetology city " is also a classification, Multiple Search Results is had, according to the present invention's under " green filament silk ribbon moulding " and " aesthetic cosmetology city " classification Methods of exhibiting, they no longer take multiple display location as prior art, but each after polymerization From being shown as an entry.
The entry shown is except can be with form as list as shown in Figure 3, it is also possible to for other shape Formula, such as, represent an entry with a circle, or represent an entry with other shapes, pattern, This is not limited by the present invention.The entry shown is made up of the mark of classification corresponding to entry, described Mark include descriptor, descriptive matter in which there or picture.Such as in Fig. 3 " green filament silk ribbon moulding ", " LA BELLEZA times of beautiful Sha's Hair Dressing Salon " etc. be exactly descriptor;" recommend: the little open country of Ou Yanggaojian great Kui ", " treasure street, Dongcheng District 88 treasure converges 4th floors No. 408 (nearly treasure mansion) " etc. are exactly descriptive matter in which there.
If the Search Results under described entry correspondence classification is more than one, one of present invention specific embodiment Warning identifier can be stamped in this entry, distinguish with other entries to facilitate, such as " green filament shown in Fig. 3 Silk ribbon moulding ", the equal more than one of Search Results under " aesthetic cosmetology city ", i.e. add on picture " even Locksmith " such warning identifier.If additionally, the Search Results under described entry correspondence classification exceedes One, described entry may also include the labelling of the Search Results under one or more described entry correspondence classification. Such as, " green filament silk ribbon moulding " entry also has " shop, blue mountain mists square ", " blue mountain mists square " such labelling, " eastern four home offices ", " five shops, road junction ", " shop, the United Lake ", " new is also had in " aesthetic cosmetology city " entry Shop, street corner " such labelling, these labellings all represent the Search Results under its classification.These labellings except Can represent with word in the way of as shown in Figure 3, it is also possible to the mode of symbol or diagram represents.When connecing When receiving user to the click signal of these labellings, detailed by the Search Results that represents for user's return label The feelings page.
When the Search Results of universal search engine is shown, it is possible to the Search Results of identical category is shown as One entry.Such as user's search " Fructus Mali pumilae ", owing to " Fructus Mali pumilae " is a key word with multiple implication, Some webpages are to describe i Phone, Apple Computers or Apple, some webpages be describe Fructus Mali pumilae this Planting fruit, some webpages are to describe Fructus Mali pumilae jeans, and these different implications define classification, When scanning for, with the webpage of " Fructus Mali pumilae " Keywords matching owing to having class label, when needs polymerization exhibition When showing, it is possible to by belong to i Phone is described, the web page display of Apple Computers or Apple is one Entry, is an entry by belonging to the web page display describing Fructus Mali pumilae fruit, will describe the net of Fructus Mali pumilae jeans Page is shown as an entry.
Step 104 may also include that further when searching request has precision demand in another embodiment During attribute, at displayed page, Search Results is carried out non-polymeric displaying.So-called non-polymeric displaying, refers to Several Search Results of identical category are not shown as the exhibition method of an entry.Refer to Fig. 4, Fig. 4 Schematic diagram for the embodiment of the non-polymeric displaying of Search Results in the embodiment of the present invention.
Step 105: when user clicks on described entry, shows described entry correspondence class according to preset strategy Search Results under not.
Still as a example by Fig. 3, when user clicks on " aesthetic cosmetology city " this entry, displaying is belonged to All Search Results under " aesthetic cosmetology city " this classification.Refer to Fig. 5, Fig. 5 is the present invention The schematic diagram of the embodiment of the Search Results under one entry correspondence classification of displaying in embodiment.
Described preset strategy includes the combination of following any one or more:
1, open a new page and show the Search Results under described entry correspondence classification.
2, the Search Results under former page jump to described entry correspondence classification.
3, at the former page, described entry expanded into the Search Results under described entry correspondence classification.
1st kind of strategy is that common click ejects new page mode, before the 2nd kind of strategy is common click Enter new page mode, and the 3rd kind of mode need not be updated full page, it is only necessary to will be original The polymer being shown as an entry launches at the former page, becomes multiple entry, and the most each entry is one The Search Results of individual corresponding classification.Refer to Fig. 6, Fig. 6 is to launch at the former page in the embodiment of the present invention The schematic diagram of the embodiment of the Search Results under one entry correspondence classification.As shown in Figure 6, Fig. 3's On the basis of, user clicks " aesthetic cosmetology city ", then on the basis of the former page, by " aesthetic beauty treatment Hair caring city " entry expansion, while launching, other entries can be retained shown in Fig. 6, it is also possible to By hidden to " LA BELLEZA times beautiful Sha Hair Dressing Salon " entry in Fig. 6 and " ENVY ME lifestyle " entry Hide.This is because when user clicks on " aesthetic cosmetology city " entry, indicate that he is to " aesthetic beauty treatment U.S. Send out city " interested, other entries are stashed and beneficially shows the search the most relevant to user interest Result.When in user again taps on expansion frame, certain does not contains the position of hyperlink, it is also possible to by launch Entry is packed up, and hiding entry is again shown simultaneously.
Refer to the embodiment two that Fig. 7, Fig. 7 are the methods of exhibiting of Search Results in the embodiment of the present invention Schematic flow sheet.
In embodiment two, step 201,202,203,204,205 with embodiment one in step 101, 102,103,104,105 is essentially identical, and difference is, in the step 202 of embodiment two, and data Data in storehouse have geography information feature, so the Search Results obtained also has geography information feature, because of This, in the step 204 of embodiment two, also will show a map at displayed page.So-called geography Information characteristics, refers to that data are geographical entities that can mark on map, such as " HaiLong Building ", " Haidian Book City " etc., are all the geographical entities with geography information feature.Additionally, the present embodiment enters one Step includes step 206: when the mouse of user moves to described entry, and mark is described on the map The position of the Search Results under entry correspondence classification.
Refer to showing of embodiment when Fig. 8, Fig. 8 are that in the embodiment of the present invention, displayed page shows map It is intended to.As shown in Figure 8, when the mouse of user move to " Shuan Rou city, Hong Yuan south gate " and time, on map mark Tri-points of a, b, c, this is respectively " Shuan Rou city, Hong Yuan south gate " three under this entry correspondence classification The position of Search Results, wherein, when certain search that user's mouse moves to this entry correspondence classification During the labelling of result, this Search Results also will be highlighted on map.Such as move to " the Temple of Heaven shop ", A position on map will be highlighted.If user's mouse moves to " allusion quotation sends bean to drag for mill ", due to this The classification only one of which Search Results that entry is corresponding, therefore " allusion quotation sends bean to drag for mill " will be directly high on map Bright display.
In the present embodiment, the execution sequence of step 205 and step 206 is not limited, shown in Fig. 7 Flow process merely to needs on Miao Shuing, actual when performing step 205 there is no ordering relation with step 206, Step 205 can be first carried out and perform step 206 again, it is also possible to first carry out step 206 and perform step 205 again.
Heretofore described demand properties, not limiting is the general demand properties in above-described embodiment or essence Really demand properties, any attribute definition that can reflect user's request, the no more than thought of the present invention.Example As, in another embodiment of the present invention, the demand properties in step 103 can also be historical behavior Demand properties or non-historical behavior demand properties.Such as, the search word of user is at the historical search row of user Occurred in for, and be considered as this search need and belong to historical behavior demand properties, otherwise it is assumed that this search needs Ask as non-historical behavior demand properties.Correspondingly, at step 104, can determine by attribute according to demand When needing Search Results is carried out polymerization displaying, at displayed page, Search Results is carried out polymerization and show.Tool The strategy of body includes: search need has a historical behavior attribute, and before Search Results generic once Clicked on by user, then the Search Results under the category is polymerized and shows, the most non-polymeric displaying.Except this it Outward, it is also possible to set other strategies according to specific circumstances.
Refer to the embodiment one that Fig. 9, Fig. 9 are the exhibiting device of Search Results in the embodiment of the present invention Structural schematic block diagram.As it is shown in figure 9, the exhibiting device of Search Results includes:
Receive unit 301, for obtaining the searching request of user.The searching request obtaining user is by The basis of subsequent treatment, this is as broad as long with search of the prior art.
Search unit 302, for inquiring about in data base according to described searching request, to be searched Hitch fruit, wherein said Search Results is made up of one or more classifications.
Such as, in cosmetics site search " emulsion ", be likely to be obtained " Clinique skin cream ", " Clinique suntan lotion ", " Biotherm skin cream " etc., searches for market in search engine based on geographical entity, is likely to be obtained " China Connection shop, mall Shangdi ", " shop, Hua Lian mall five road junction ", " shop, the Asian Games Village, Hua Tang market " etc., these search Result has category feature, such as " Clinique skin cream " and " Clinique suntan lotion " and broadly falls into Clinique brand, " shop, mall Shangdi, Hua Lian " and " shop, Hua Lian mall five road junction " broadly fall into Hua Lian mall.According to concrete demand Difference, classification is used for representing the attribute of various different levels, can include but being not limited only to: brand, district Territory, song, film, food etc..As long as it can be distinguished by this attribute with other Search Results, So this attribute broadly falls into classification category described in the invention.
Search Results has category feature, this is because the data in data base have category feature.Pass through Data mining, it is possible to achieve the cluster to data.The data that can be used in the present invention are described below dig Pick method.
Method one: extract classification key word by feature masterplate, then obtain with classification key word and belong to this Data under classification, finally the data belonged under same classification for getting stamp identical data mark Sign.
Above-mentioned feature masterplate, it is common that confirm that there is higher accuracy rate by statistical data.Such as Carrying out data mining in data base based on geographical entity, statistical data shows that ××× () exists When representing a trade company with chain store's feature, having higher accuracy rate, wherein ××× represents home office Trade name, and in bracket, @@@represents the trade name in branch.Therefore by ××× (@@@) such Feature masterplate, it is possible to first the trade name of home office is extracted, and the trade name of home office also represent a business The classification at family, can be as the key word of classification.Such as: " (Zhong Guan-cun) is dragged in seabed " just coupling is above Feature masterplate, " seabed is dragged for " just can extract the key word as classification.According to database characteristics Difference, other possible feature masterplates be also possible that ×××, ×××: etc..
After obtaining the key word (for total trade name in above example) of classification, it is possible to use such pass Keyword scans in data base, namely all data that can mate this key word is all excavated Out, all data belonged under the category are obtained.Still illustrate with above example, if the class obtained Other key word is " seabed is dragged for ", then during with this key word removal search, and the result that may obtain has " sea Shop, chaffy dish peony garden is dragged at the end ", " branch, chaffy dish Chaoyang is dragged in seabed ", " table delicacies street is dragged in seabed " etc., as Fruit is all branch in order to find seabed Lao Zhejia chain store, then the feature additional by some is carried out Filter, it is possible to from these results, all branch are extracted.Same category is belonged in order to find All unit of geographical entity, the supplementary features that can use, generally have: shop (branch), row (point Row, subbranch), school (branch school), institute (branch), institute's (point institute) etc..These additional features Can obtain by the way of machine excavation adds artificial supplementation.By means of which, in example described above, Just " shop, chaffy dish peony garden is dragged in seabed ", " branch, chaffy dish Chaoyang is dragged in seabed " can be extracted, and " seabed Drag for table delicacies street " will be filtered.
After obtaining belonging to the other data of same class, the data of the category will be stamped identical data mark Signing, the other data of such as same class all have an identical category IDs number.
Method two: all data in data base are sorted according to title, so belongs to same category of number According to coming adjacent position.The all data of sequential scan, by the longest public word in one group of data of continuous print The length of string specifies the data of threshold value to find out more than one, and this public word string is exactly a potential classification Key word, one group of data with this public word string just belong to this classification.One can be entered by filtering policy Step improves the accuracy excavated, such as manual examination and verification or according to some additional features, as above mentions in example Shop (branch), row (in lines, subbranch), school (branch school), institute (branch), institute's (point institute) Etc. filtering.
Such as: in data base based on product excavate, " Biotherm skin cream ", " Biotherm sunscreen cream ", " the ultimate attainment essence of Biotherm ", " Biotherm spring water alive divides dew " etc., when sequence, it is in adjacent position Putting, the longest public word string that can extract is " Biotherm ", and therefore classification key word just may be considered " green Ou Quan ", and " Biotherm skin cream ", " Biotherm sunscreen cream ", " the ultimate attainment essence of Biotherm ", " green Europe Spring spring water alive divides dew " it is construed as the data under " Biotherm " this classification.
Or be to carry out data mining in data base based on geographical entity, " chaffy dish peony garden is dragged in seabed Shop ", " branch, Haidian District is dragged in seabed ", " chaffy dish Zhong Guan-cun is dragged in seabed " etc., when sequence, be in adjacent Position, the longest public word string that can extract is " seabed is dragged for ", therefore classification key word just it is believed that It is " seabed is dragged for ", and " shop, chaffy dish peony garden is dragged in seabed ", " branch, Haidian District is dragged in seabed ", " chaffy dish is dragged in seabed Zhong Guan-cun " it is construed as the data under " seabed is dragged for " this classification.
After obtaining belonging to the other data of same class, the data of the category will be stamped identical data mark Signing, the other data of such as same class all have an identical category IDs number.
Method three: by the semantic analysis to content of pages, excavate the theme of the page, thus cluster.
Such as in the data base of universal search engine, by content of pages is carried out semantic analysis, can obtain To the theme of the page, what the theme of the page represented is the content described by the page, and a page can include Multiple themes.Such as: one describes how with the webpage of surfing Internet with cell phone, potentially included " mobile phone ", " on Net " two themes, a theme namely classification.
After obtaining belonging to the other data of same class, the data of the category will be stamped identical data mark Signing, the other data of such as same class all have an identical category IDs number, in the above-mentioned example In son, each page can mark No. ID of one or more classification.
Judging unit 303, for judging the demand properties of described searching request.Described demand properties includes General demand properties and precision demand attribute.It is relatively easy that the most general demand properties refers to search for key word, can The scope of the Search Results matched compares user's search need widely, such as user's search " emulsion ", Its purpose is not intended to the product finding certain to determine, but in order to crucial from " emulsion " such search Word obtains more information, to help him to carry out next step decision-making.And precision demand attribute refers to search Key word is relatively unambiguous, and user compares when scanning for this key word and determines the product model oneself wanting to look for Enclose, such as user's search " shop, chaffy dish peony garden is dragged in seabed ", it is simply that expect that the letter in shop, peony garden is dragged in seabed Cease rather than want to know the situation in other brand chafing dish shops, being not to arrive seabed to drag for other shops Situation, time this, the demand of user is exactly accurate.
Judging unit 303 judge the method for the demand properties of searching request can include following any one or many The combination planted:
1, by general demand characteristic vocabulary, searching request is carried out coupling checking, wherein by searching of verifying Rope request has general demand properties, otherwise has precision demand attribute.
General demand characteristic vocabulary can be obtained by several approach, is first by common classification chart, such as The vocabulary divided with geographic area: Haidian, Chaoyang, Fengtai etc., or the vocabulary divided with brand: Sony, Biotherm, Nokia etc., these classification charts are easy to collect according to general knowledge.Secondly, general demand characteristic Vocabulary can also search for log acquisition by user, and the method for acquisition is first from the search word that user is conventional Excavating some high frequency words and can return the search word of more Search Results, concrete way will be for searching for Frequency extracts higher than the search word of a setting threshold value and maybe the Search Results quantity returned is higher than one The search word setting threshold value extracts, and then clusters the search word extracted, specifically can lead to The method crossing machine learning realizes, and filters out the search word after impurity word finally by manual examination and verification, just Can be as the Feature Words of general demand characteristic vocabulary.
2, the quantity of Search Results under each classification is calculated, to obtain the maximum of described quantity, when Described maximum, less than when setting threshold value, is considered as searching request and has precision demand attribute, otherwise have General demand properties.
Search Results can belong to one or more classification, so calculating ownership respectively under each classification The quantity of Search Results, such that it is able to obtain in these quantity maximum.Such as search for Zhong Guan-cun Chaffy dish, obtains " shop, peony garden is dragged in seabed ", " HaiLong Building shop is dragged in seabed ", " peppery grandmother's chaffy dish ", " little fertilizer Yang Zhichunludian ", the Search Results such as " little Fei Yang Beijing great Xue Dian ".These Search Results have class label, According to class label, these Search Results are belonging respectively to three classes: " seabed is dragged for ", " little fertile sheep ", " peppery grandmother ". Wherein the Search Results under " seabed is dragged for " and " little fertile sheep " classification is 2, the Search Results under " peppery grandmother " It is 1.Under each classification, the maximum of the quantity of Search Results is 2, if the threshold value set is as 3, due to Maximum is less than the threshold value set, it is possible to judge that " Zhong Guan-cun chaffy dish " just has precision demand attribute, If but the threshold value set is as 1, owing to maximum has been more than the threshold value set, therefore will determine that " middle pass Village's chaffy dish " there is general demand properties.
First display unit 304, for when described searching request has general demand properties, searches described Hitch fruit carries out polymerization and shows.The form that polymerization is shown is that the Search Results under identical category is shown as one Individual entry.Refer to Fig. 3, Fig. 3 is the embodiment that in the embodiment of the present invention, Search Results polymerization is shown Schematic diagram.
As it is shown on figure 3, classification is the title of trade company, if " green filament silk ribbon moulding " is a classification, " LA BELLEZA times of beautiful Sha's Hair Dressing Salon " it is a classification, " aesthetic cosmetology city " is also a classification, Multiple Search Results is had, according to the present invention's under " green filament silk ribbon moulding " and " aesthetic cosmetology city " classification Methods of exhibiting, they no longer take multiple display location as prior art, but each after polymerization From being shown as an entry.
The entry shown is except can be with form as list as shown in Figure 3, it is also possible to for other shape Formula, such as, represent an entry with a circle, or represent an entry with other shapes, pattern, This is not limited by the present invention.The entry shown is made up of the mark of classification corresponding to entry, described Mark include descriptor, descriptive matter in which there or picture.Such as in Fig. 3 " green filament silk ribbon moulding ", " LA BELLEZA times of beautiful Sha's Hair Dressing Salon " etc. be exactly descriptor;" recommend: the little open country of Ou Yanggaojian great Kui ", " treasure street, Dongcheng District 88 treasure converges 4th floors No. 408 (nearly treasure mansion) " etc. are exactly descriptive matter in which there.
If the Search Results under described entry correspondence classification is more than one, one of present invention specific embodiment Warning identifier can be stamped in this entry, distinguish with other entries to facilitate, such as " green filament shown in Fig. 3 Silk ribbon moulding ", the equal more than one of Search Results under " aesthetic cosmetology city ", i.e. add on picture " even Locksmith " such warning identifier.If additionally, the Search Results under described entry correspondence classification exceedes One, described entry may also include the labelling of the Search Results under one or more described entry correspondence classification. Such as, " green filament silk ribbon moulding " entry also has " shop, blue mountain mists square ", " blue mountain mists square " such labelling, " eastern four home offices ", " five shops, road junction ", " shop, the United Lake ", " new is also had in " aesthetic cosmetology city " entry Shop, street corner " such labelling, these labellings all represent the Search Results under its classification.These labellings except Can represent with word in the way of as shown in Figure 3, it is also possible to the mode of symbol or diagram represents.When connecing When receiving user to the click signal of these labellings, detailed by the Search Results that represents for user's return label The feelings page.
When the Search Results of universal search engine is shown, it is possible to the Search Results of identical category is shown as One entry.Such as user's search " Fructus Mali pumilae ", owing to " Fructus Mali pumilae " is a key word with multiple implication, Some webpages are to describe i Phone, Apple Computers or Apple, some webpages be describe Fructus Mali pumilae this Planting fruit, some webpages are to describe Fructus Mali pumilae jeans, and these different implications define classification, When scanning for, with the webpage of " Fructus Mali pumilae " Keywords matching owing to having class label, when needs polymerization exhibition When showing, it is possible to by belong to i Phone is described, the web page display of Apple Computers or Apple is one Entry, is an entry by belonging to the web page display describing Fructus Mali pumilae fruit, will describe the net of Fructus Mali pumilae jeans Page is shown as an entry.
First display unit 304 can be further used for when searching request has essence in another embodiment Really during demand properties, at displayed page, Search Results is carried out non-polymeric displaying.So-called non-polymeric displaying, Refer to be not shown as by several Search Results of identical category the exhibition method of an entry.Refer to Fig. 4, Fig. 4 is the schematic diagram of the embodiment of the non-polymeric displaying of Search Results in the embodiment of the present invention.
Second display unit 305, for when user clicks on described entry, shows according to preset strategy Search Results under described entry correspondence classification.
Still as a example by Fig. 3, when user clicks on " aesthetic cosmetology city " this entry, displaying is belonged to All Search Results under " aesthetic cosmetology city " this classification.Refer to Fig. 5, Fig. 5 is the present invention The embodiment schematic diagram of the Search Results under one entry correspondence classification of displaying in embodiment.
Described preset strategy includes the combination of following any one or more:
1, open a new page and show the Search Results under described entry correspondence classification.
2, the Search Results under former page jump to described entry correspondence classification.
3, at the former page, described entry expanded into the Search Results under described entry correspondence classification.
1st kind of strategy is that common click ejects new page mode, before the 2nd kind of strategy is common click Enter new page mode, and the 3rd kind of mode need not be updated full page, it is only necessary to will be original The polymer being shown as an entry launches at the former page, becomes multiple entry, and the most each entry is one The Search Results of individual corresponding classification.Refer to Fig. 6, Fig. 6 is to launch at the former page in the embodiment of the present invention The schematic diagram of the embodiment of the Search Results under one entry correspondence classification.As shown in Figure 6, Fig. 3's On the basis of, user clicks " aesthetic cosmetology city ", then on the basis of the former page, by " aesthetic beauty treatment Hair caring city " entry expansion, while launching, other entries can be retained shown in Fig. 6, it is also possible to By hidden to " LA BELLEZA times beautiful Sha Hair Dressing Salon " entry in Fig. 6 and " ENVY ME lifestyle " entry Hide.This is because when user clicks on " aesthetic cosmetology city " entry, indicate that he is to " aesthetic beauty treatment U.S. Send out city " interested, other entries are stashed and beneficially shows the search the most relevant to user interest Result.When in user again taps on expansion frame, certain does not contains the position of hyperlink, it is also possible to by launch Entry is packed up, and hiding entry is again shown simultaneously.
Refer to the embodiment two that Figure 10, Figure 10 are the exhibiting device of Search Results in the embodiment of the present invention Structural schematic block diagram.
In embodiment two, receive unit 401, search unit 402, judging unit the 403, first displaying Unit the 404, second display unit 405 and the reception unit 301 in embodiment one, search unit 302, Judging unit the 303, first display unit the 304, second display unit 305 is essentially identical, and difference is, Data in data base have geography information feature, so the Search Results obtained also has geography information feature, Therefore, the first display unit 404 of embodiment two, it is additionally operable to show a map at displayed page.Institute The geography information feature of meaning, refers to that data are geographical entities that can mark on map, such as " sea Dragon mansion ", " Haidian Book City " etc., be all the geographical entity with geography information feature.Additionally, this reality Execute and still further comprise mark unit 406, for when the mouse of user moves to described entry, in institute State the position of the Search Results marked on map under described entry correspondence classification.
Refer to Fig. 8, Fig. 8 is that in the embodiment of the present invention, display form includes showing the ground corresponding with entry The embodiment schematic diagram of figure.As shown in Figure 8, when the mouse of user move to " Shuan Rou city, Hong Yuan south gate " time, Being labelled with tri-points of a, b, c on map, this is respectively " Shuan Rou city, Hong Yuan south gate " this entry correspondence class The position of three Search Results under not, wherein, when user's mouse moves to this entry correspondence classification The labelling of certain Search Results time, this Search Results also will be highlighted on map.Such as move to " the Temple of Heaven shop ", a position on map will be highlighted.If user's mouse moves to " allusion quotation sends bean to drag for mill ", Due to the classification only one of which Search Results that this entry is corresponding, therefore " allusion quotation sends bean to drag for mill " will directly exist It is highlighted on map.
Heretofore described demand properties, not limiting is the general demand properties in above-described embodiment or essence Really demand properties, any attribute definition that can reflect user's request, the no more than thought of the present invention.Example As, in another embodiment of the present invention, it is judged that the demand properties that unit 303 judges can also be as going through History behavioral requirements attribute or non-historical behavior demand properties.Such as, the search word of user is in the history of user Search behavior occurred, is considered as this search need and belongs to historical behavior demand properties, otherwise it is assumed that should Search need is non-historical behavior demand properties.Correspondingly, the first display unit 304 can be used for according to need When asking attribute to determine that needing to carry out Search Results polymerization shows, at displayed page, Search Results is gathered Close and show.Concrete strategy includes: search need has historical behavior attribute, and belonging to Search Results Once clicked on by user before classification, then the Search Results under the category is polymerized and shows, the most non-polymeric exhibition Show.In addition to this it is possible to set other strategies according to specific circumstances.
The foregoing is only presently preferred embodiments of the present invention, not in order to limit the present invention, all at this Within the spirit of invention and principle, any modification, equivalent substitution and improvement etc. done, should be included in Within the scope of protection of the invention.

Claims (16)

1. the methods of exhibiting of a Search Results, it is characterised in that described method includes:
A. the searching request of user is obtained;
B. inquire about in data base according to described searching request, to obtain Search Results, wherein said search Fruit is made up of hitch one or more classifications;
C. judge that described searching request has general demand properties or precision demand attribute;
D., when described searching request has described general demand properties, at displayed page, described Search Results is entered Row polymerization is shown, the form that described polymerization is shown is that the Search Results under identical category is shown as an entry;
E, when user clicks on described entry, show the search under described entry correspondence classification according to preset strategy Result.
Methods of exhibiting the most according to claim 1, it is characterised in that search described in the judgement of described step C Rope request has the method for general demand properties or precision demand attribute and at least includes following one:
C1. by general demand characteristic vocabulary, described searching request is carried out coupling checking, wherein by described checking Described searching request there is described general demand properties, otherwise there is described precision demand attribute;
C2. the quantity of Search Results under each classification is calculated, to obtain the maximum of described quantity, when described Maximum is less than when setting threshold value, it is judged that described searching request has described precision demand attribute, otherwise has Described general demand properties.
Methods of exhibiting the most according to claim 1, it is characterised in that described step D farther includes: When described searching request has described precision demand attribute, at described displayed page, described Search Results is entered The non-polymeric displaying of row.
Methods of exhibiting the most according to claim 1, it is characterised in that described entry is by described entry pair The mark answering classification forms, and wherein said mark includes descriptor, descriptive matter in which there or picture.
Methods of exhibiting the most according to claim 4, it is characterised in that if described entry correspondence classification Search Results more than one, described entry farther includes under one or more described entry correspondence classification The labelling of Search Results, wherein said labelling includes word, symbol or diagram.
Methods of exhibiting the most according to claim 1, it is characterised in that described preset strategy at least includes Following one:
E1. open a new page and show the Search Results under described entry correspondence classification;
E2. the Search Results under former page jump to described entry correspondence classification;
E3. at the former page, described entry expanded into the Search Results under described entry correspondence classification.
Methods of exhibiting the most according to claim 1, it is characterised in that if described Search Results comprises Geography information feature, described step D shows map at described displayed page further.
Methods of exhibiting the most according to claim 7, it is characterised in that described method farther includes: F., when the mouse of user moves to described entry, mark on the map under described entry correspondence classification The position of Search Results.
9. the exhibiting device of a Search Results, it is characterised in that described device includes:
Receive unit, for obtaining the searching request of user;
Search unit, for inquiring about in data base according to described searching request, to obtain Search Results, Wherein said Search Results is made up of one or more classifications;
Judging unit, is used for judging that described searching request has general demand properties or precision demand attribute;
First display unit, for when described searching request has described general demand properties, at displayed page Described Search Results carrying out polymerization show, the form that described polymerization is shown is the search under identical category to be tied Fruit is shown as an entry;
Second display unit, for when user clicks on described entry, shows described entry according to preset strategy Search Results under corresponding classification.
Exhibiting device the most according to claim 9, it is characterised in that described judging unit judges institute State searching request there is the method for general demand properties or precision demand attribute at least to include following one:
By general demand characteristic vocabulary, described searching request is carried out coupling checking, wherein by described checking Described searching request has described general demand properties, otherwise has described precision demand attribute;
Calculate the quantity of Search Results under each classification, to obtain the maximum of described quantity, when described Big value is less than when setting threshold value, it is judged that described searching request has described precision demand attribute, otherwise has institute State general demand properties.
11. exhibiting devices according to claim 9, it is characterised in that described first display unit enters One step, for when described searching request has described precision demand attribute, is searched described at described displayed page Hitch fruit carries out non-polymeric displaying.
12. exhibiting devices according to claim 9, it is characterised in that described entry is by described entry The mark composition of corresponding classification, wherein said mark includes descriptor, descriptive matter in which there or picture.
13. exhibiting devices according to claim 12, it is characterised in that if described entry correspondence class Search Results under not is more than one, and described entry farther includes one or more described entry correspondence classification Under the labelling of Search Results, wherein said labelling includes word, symbol or diagram.
14. exhibiting devices according to claim 9, it is characterised in that described preset strategy at least wraps Include following one:
Open a new page and show the Search Results under described entry correspondence classification;
Search Results under former page jump to described entry correspondence classification;
At the former page, described entry expanded into the Search Results under described entry correspondence classification.
15. exhibiting devices according to claim 9, it is characterised in that if described Search Results bag Containing geography information feature, described first display unit is further used for showing map at displayed page.
16. exhibiting devices according to claim 15, it is characterised in that described device farther includes Mark unit, for when the mouse of user moves to described entry, marks described entry on the map The position of the Search Results under corresponding classification.
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