CN103514299B - Information search method and device - Google Patents

Information search method and device Download PDF

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Publication number
CN103514299B
CN103514299B CN201310493353.5A CN201310493353A CN103514299B CN 103514299 B CN103514299 B CN 103514299B CN 201310493353 A CN201310493353 A CN 201310493353A CN 103514299 B CN103514299 B CN 103514299B
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search
according
user
types
information
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CN201310493353.5A
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Chinese (zh)
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CN103514299A (en
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侯小虎
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北京奇虎科技有限公司
奇智软件(北京)有限公司
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Abstract

The invention discloses a kind of information search method and device, wherein, method includes:Receive search key input by user;Semantic analysis is carried out to search key, multiple information types of user demand and the corresponding degree of correlation are drawn according to the result of semantic analysis;Search key is matched respectively with all types of vertical search databases according to the degree of correlation of each information type, obtains all types of search result datas of the corresponding multiple vertical search databases of search key;All types of search result datas are integrated and showed.According to the present invention, the search result finally obtained combines the content of multiple vertical channels, contain the various possible demands of user, compared with universal search, specific aim is stronger, and the current channel of user's selection is only limited to unlike vertical search, so as to reduce the invalid operation of user, more efficiently meet user demand.

Description

Information search method and device

Technical field

The present invention relates to Internet technical field, and in particular to a kind of information search method and device.

Background technology

The Information Navigation Service that search engine provides users with the convenient, essential letter when having become user's online Cease gopher.A kind of most commonly seen way of search of search engine is universal search.In universal search, search engine will regard Frequently, the plurality of kinds of contents such as e-book, word, picture is presented to user after arranging in certain sequence.However, the information due to its return Amount is usually very big, generates the problems such as inquiry is inaccurate, depth is inadequate therewith.

Vertical search engine is the new search engine service pattern put forward for this problem, by for a certain The information and the related service that have certain values that specific area, a certain specific crowd or a certain particular demands provide, for example, major Picture, the music searching channel that door search website provides, and the search website of specific industry is served, such as do shopping, tourism, Automobile and other industries website.

However, since vertical search engine only returns to keyword in the channel as a result, inquiry for some keywords Poor effect.For example, it is related to the extensive keyword of information type for some.An example of such case is given in Fig. 1, As shown in Figure 1, user only returns picture query knot in a certain picture searching channel input keyword " Liu Dehua ", the channel Fruit.However, " Liu Dehua " this keyword further relates to the bulk informations such as film, music, can not if user has related needs It is met from current channel.For other vertical channels, which equally exists, for example, being searched in news channel new Hear, then what is obtained is typically the stronger news results of timeliness, and information is more scattered, adds the use difficulty of user.

It follows that for Partial key word, the result that universal search returns is very numerous and diverse, and user is difficult to position wherein Effective information, efficiency are very low;On the other hand;Vertical search channel return the result and may be excessively single, can not meet Many-sided demand of user.Cause all produce user's inquiry that substantial amounts of non-channel can solve in vertical channel daily, make User produces substantial amounts of invalid operation, also increases the use difficulty of user.

The content of the invention

In view of the above problems, it is proposed that the present invention overcomes the above problem in order to provide one kind or solves at least in part State a kind of information search method and device of problem.

According to an aspect of the invention, there is provided a kind of information search method, including:Search input by user is received to close Keyword;To search key carry out semantic analysis, according to the result of semantic analysis draw user demand multiple information types and The corresponding degree of correlation;Search key and all types of vertical search databases are carried out respectively according to the degree of correlation of each information type Match somebody with somebody, obtain all types of search result datas of the corresponding multiple vertical search databases of search key;All types of search are tied Fruit data are integrated for being showed.

According to another aspect of the present invention, there is provided a kind of information retrieval device, including:Receiving module, is used suitable for receiving The search key of family input;Analysis module, suitable for carrying out semantic analysis to search key, obtains according to the result of semantic analysis Go out multiple information types of user demand and the corresponding degree of correlation;As a result acquisition module, suitable for the degree of correlation according to each information type Search key is matched respectively with all types of vertical search databases, obtains that search key is corresponding multiple vertically to be searched The all types of search result datas of rope database;Integrate module, suitable for by all types of search result datas integrated for into Row shows.

Information search method and device according to the present invention, search engine receive search key input by user, pass through Semantic analysis to search key draws multiple information types of user demand and the corresponding degree of correlation, then, according to the degree of correlation, The search key is matched in all types of vertical search databases, obtains search key in corresponding vertical search database As a result, through integrate rear line displaying.In this way, the search result finally obtained combines the content of multiple vertical channels, bag The various possible demands of user are contained, compared with universal search, specific aim is stronger, and is only limited to use unlike vertical search The current channel of family selection, so as to reduce the invalid operation of user, more efficiently meets user demand.

Described above is only the general introduction of technical solution of the present invention, in order to better understand the technological means of the present invention, And can be practiced according to the content of specification, and in order to allow above and other objects of the present invention, feature and advantage can Become apparent, below especially exemplified by the embodiment of the present invention.

Brief description of the drawings

By reading the detailed description of hereafter preferred embodiment, it is various other the advantages of and benefit it is common for this area Technical staff will be clear understanding.Attached drawing is only used for showing the purpose of preferred embodiment, and is not considered as to the present invention Limitation.And in whole attached drawing, identical component is denoted by the same reference numerals.In the accompanying drawings:

Fig. 1 shows that picture vertical search channel returns the result search key in the prior art;

Fig. 2 shows the flow chart of information search method according to an embodiment of the invention;

Fig. 3 shows the schematic diagram of the integrated results that one embodiment obtains according to the present invention;

Fig. 4 shows the structure diagram of information retrieval device according to an embodiment of the invention.

Embodiment

The exemplary embodiment of the disclosure is more fully described below with reference to accompanying drawings.Although the disclosure is shown in attached drawing Exemplary embodiment, it being understood, however, that may be realized in various forms the disclosure without should be by embodiments set forth here Limited.On the contrary, these embodiments are provided to facilitate a more thoroughly understanding of the present invention, and can be by the scope of the present disclosure Completely it is communicated to those skilled in the art.

Fig. 2 shows the flow chart of information search method according to an embodiment of the invention, as shown in Fig. 2, this method 100 start from step S101, wherein, receive search key input by user.

Universal search and vertical search are all that the search key provided according to user is retrieved.Usually, user By inputting search key in search homepage or the search column of each vertical channel page, the page generates searching request and by clear Device of looking at is sent to search engine server.In the present invention, special searched page can be provided to the user, what is inputted in the page searches Rope keyword is all obtained by the method for the present invention as a result, or being the special search of user setting on general, the vertical search page Option, if user selects the option, if search engine is obtained by the method for the present invention as a result, user is non-selected, pressing should The universal search or vertical search mode of page fault obtain result.Same method is suitable for other search clients, example Such as the various client softwares on intelligent mobile phone platform.

After search engine receives search key, method 100 enters step S102, wherein, language is carried out to search key Justice analysis, multiple information types of user demand and the corresponding degree of correlation are drawn according to the result of semantic analysis.

The search key that user provides is the foundation that search engine judges user's information needed type.It is input by user to search Rope keyword is usually natural language, and search engine can not directly understand the intention that search key is included, therefore, to searching It is necessary that rope keyword, which carries out semantics recognition,.

Specifically, since the diversity of natural language input method, search key input by user may also not advise Model, or simply multiple search keys are piled up.Therefore, a kind of method of semantic analysis is that first search key is cut Word segmentation processing, i.e., be cut into significant word by natural language sequence input by user, then according to segmenting word handle as a result, Carry out user view identification.

There are a variety of segmenting word methods in the prior art, for example, the segmenting method based on string matching, point based on understanding Word method and segmenting method based on statistics etc..Those skilled in the art can be chosen according to demand, or comprehensive use A variety of methods.

Intention assessment based on the result that segmenting word is handled, however, same segmenting word result may include it is a variety of It is intended to.For example, for the search key " Liu Dehua " in Fig. 1, although segmenting word processing can recognize that " Liu Dehua " to drill The name of skill star, but the intention that the search key represents is probably various, including under picture, film, TV play, music Carry etc..To ensure that user demand is met, the intention assessment in step S102 should consider all possible intention.

Similar with segmenting word, there is also a variety of intension recognizing methods, such as vocabulary in the prior art to match, statistical model, rule The methods of then parsing, those skilled in the art according to circumstances can flexibly select.

In step s 102, to the search key of input, in addition to obtaining user's information needed type, acquisition is further included The search key and the degree of correlation of each information type.In the present invention, quantization is made to the various demands of user by the degree of correlation Assessment, for subsequent step use.The high degree of correlation represents stronger user demand.

For example, to search key " MoonlIght on the Lotus Pond ", its intention may include song《MoonlIght on the Lotus Pond》Download, " the lotus pool moon Color " cell, and prose《MoonlIght on the Lotus Pond》.Wherein, the demand that song is downloaded may be higher, then its degree of correlation is also higher, such as 50%, correspondingly, the other kinds of degree of correlation is relatively low.

Further, it is also conceivable to the timeliness of search key when obtaining the degree of correlation, with search key Exemplified by " Iphone5 ", before listing, the intention that user searches for the search key is mostly news, i.e. the search is crucial For the degree of correlation of word and news close to 100%, and after listing in a period of time, the intention of user is the contents such as purchase, information mostly, After halt production, user no longer pays close attention to the contents such as purchase, news, it is intended that is substantially grouped as encyclopaedia, question and answer etc..User is to each info class The demand of type changes over time, and therefore, the degree of correlation of each information type of same search key is also dynamic.

After drawing information type and the degree of correlation, method 100 enters step S103, wherein, according to the correlation of each information type Degree is matched search key with all types of vertical search databases respectively, and it is corresponding multiple vertical to obtain search key Search for all types of search result datas of database.

Matching of the search key in vertical search database is similar with universal search in vertical search, no longer retouches here State.In this step, further to the degree of correlation and information type can also be set.If user is in a certain vertical channel Information search mode provided by the invention is selected, can correspondingly increase the degree of correlation of this information type, i.e., by this information Major demands of the type as user, and presented in subsequent step as main result.

By taking search key " Liu Dehua " as an example, after the segmenting word processing in step S102 and intention assessment, draw The information type that this search key is related to includes picture, video, news, encyclopaedia etc..In the case of shown in Fig. 3, user In the vertical channel input search key of picture and retrieved, then the major demands information using picture as user, and obtaining Most data results, and by other information, such as character introduction, news, video, shown as auxiliary information.

Similarly, for news search channel, then can be obtained from the database of other corresponding channels related to news The information such as picture, video and track of issues;For map search, when user searches for some place name or mechanism, on ground The character introduction of the related place name of point display nearby, building picture etc..

Alternatively, all types of search knots of the corresponding multiple vertical search databases of search key are obtained in step S103 Fruit data are further:Search knot is obtained in the corresponding vertical search database of information type from the degree of correlation higher than predetermined threshold value Fruit data.For part searches keyword, the information type of user demand may be quite varied, and all types of degree of correlation differences It is larger, if obtaining information from all relevant vertical channels, inquiry velocity may be reduced, meanwhile, the result of return can Can be excessively various, it is unfavorable for the use of most of user.At this moment, can according to the quantization made in step S102 to the degree of correlation, A threshold value is set for the degree of correlation in advance, if the degree of correlation of a certain type is less than the threshold value, then it is assumed that user be not required such Type information, does not also obtain information from corresponding vertical channel.

Then, method 100 enters step S104, wherein, all types of search result datas are integrated for being opened up It is existing.

The degree of correlation of each information type should be also considered when carrying out the integration of result data, showing.Fig. 3 shows multiple Example of the search result data after integration.Wherein, user submits search key " Liu Dehua " in Photo channel, then can incite somebody to action " Liu Dehua " relevant personage's picture shows that other kinds of search result includes profile, timeliness as main result Stronger news, and the content such as relevant newest films and television programs of personage.These results, which are floated, is shown in a left side for image results Side is selected for user, or is presented in the form of pop-up window, Framework Net Page etc..

Above-mentioned integration, which is handled, to be further comprised carrying out reset to search results pages according to default template according to the degree of correlation, will The different type result of acquisition is shown again as after relevancy ranking.Here, first including the sequence between type, secondly same The sequence of types results.Such as in figure 3, search results pages preferentially illustrate the high profile of the degree of correlation, are news afterwards With newest video;And in results for video, it show only currently two films and television programs highest with personage's degree of correlation.

In case above, user is the search key inputted in vertical channel.If user is in universal search page The search key of submission, then a kind of integration method is preferentially to show the keyword hundred by the degree of correlation in search results pages Content in section, music, video, picture, the URL address lists that then displaying universal search obtains in lower section.

The template that typesetting is provided previously by according to search service provider carries out, for example, being write by html language, java scripts etc. In the source code of the page, to the font size in the page, color, embedded location of picture, video etc. etc. is set.

In the method that the above embodiment of the present invention provides, search engine receives search key input by user, passes through Semantic analysis to search key draws how each information type of user demand and the corresponding degree of correlation, then, according to the degree of correlation, The search key is matched in all types of vertical search databases, obtains search key in corresponding vertical search database As a result, through integrate rear line displaying.According to this method, the search result finally obtained combines the interior of multiple vertical channels Hold, contain the various possible demands of user, compared with universal search, specific aim is stronger, and unlike vertical search only It is limited to the current channel of user's selection, so as to reduce the invalid operation of user, more efficiently meets user demand.

Fig. 4 shows the structure diagram of information retrieval device provided by one embodiment of the present invention.As shown in figure 4, should Device includes:Receiving module 21, analysis module 22, as a result acquisition module 23 and integrate module 24.

Receiving module 21 is suitable for receiving search key input by user.Usually, user passes through in search homepage or each Search key is inputted in the search column of vertical channel page, page generation searching request is simultaneously sent to search engine by browser Server.In the present invention, receiving module 21 can provide special searched page to the user, and the search inputted in the page is closed Keyword all obtained by the method for the present invention as a result, or be the special search option of user setting on general, the vertical search page, If user selects the option, if search engine is obtained as a result, user is non-selected by the method for the present invention, write from memory by the page The universal search or vertical search mode recognized obtain result.Receiving module 22 is suitable for other search clients, such as intelligently Client software on cell phone platform.

Analysis module 22, suitable for carrying out semantic analysis to search key, user's need are drawn according to the result of semantic analysis The multiple information types and the corresponding degree of correlation asked.

Search engine judges user's information needed type according to the search key that user provides.Search input by user is closed Keyword is usually natural language, and search engine can not directly understand intention that keyword is included, it is necessary to which analysis module 22 is right Search key carries out semantics recognition.

Specifically, due to the diversity of natural language input method, keyword input by user may also and it is lack of standardization, or Person is piling up for multiple search keys.Therefore, analysis module 22 generally includes segmenting word processing module 220 and intention assessment Module 221, wherein, segmenting word processing module 220 is suitable for first carrying out segmenting word processing to search key, i.e., will be input by user Natural language sequence is cut into significant word, it is intended that identification module 221 is suitable for according to segmenting word processing as a result, carrying out user Intention assessment.

Segmenting word processing module 220 can utilize a variety of segmenting word method processing search keys of the prior art, example Such as, the segmenting method based on string matching, the segmenting method based on understanding and segmenting method based on statistics etc..This area skill Art personnel can be chosen according to demand, or synthesis uses a variety of methods.

Intention assessment module 221 is used as input information using the result that segmenting word is handled.However, same segmenting word result can A variety of intentions can be included.Still by taking the search key " Liu Dehua " in Fig. 1 as an example, although segmenting word processing can recognize that " Liu Dehua " is the name of performing art star, but being intended that of can showing of the search key is various, including picture, film, TV play, music download etc..To ensure that user demand is met, it is intended that identification module 221 need to analyze user is all can The intention of energy.

Intention assessment module 221 can utilize a variety of intension recognizing methods of the prior art to draw user view, such as vocabulary The methods of matching, statistical model, rule parsing, those skilled in the art according to circumstances can flexibly select.

Intention assessment module 221 in addition to obtaining user's information needed type, is also obtained for the search key of input The search key and the degree of correlation of each information type.Subscriber identification module 221 does the various demands of user by the degree of correlation Go out the assessment of quantization, so that other modules utilize, the high degree of correlation represents stronger user demand.

For example, to search key " MoonlIght on the Lotus Pond ", it is intended that the information type that identification module 221 analyzes user demand can Song can be included《MoonlIght on the Lotus Pond》Download, " MoonlIght on the Lotus Pond " cell, and prose《MoonlIght on the Lotus Pond》.Wherein, the need that song is downloaded Ask higher, then its degree of correlation is also higher, such as 50%, correspondingly, the other kinds of degree of correlation is relatively low.

Further, it is also conceivable to the timeliness of search key when obtaining the degree of correlation, with search key Exemplified by " Iphone5 ", before listing, the intention that user searches for the search key is mostly news, i.e., the keyword with For the degree of correlation of news close to 100%, and after listing in a period of time, the intention of user is the contents such as purchase, information mostly, is stopped production Afterwards, user no longer pays close attention to the contents such as purchase, news, it is intended that is substantially grouped as encyclopaedia, question and answer etc..User is to each information type Demand changes over time, and therefore, the degree of correlation of each information type of same search key is also dynamic.

As a result acquisition module 23 is suitable for search key and all types of vertical searches according to the degree of correlation of each information type Database is matched respectively, obtains all types of search result numbers of the corresponding multiple vertical search databases of search key According to.

Matching of the search key in vertical search database is similar with universal search in vertical search, no longer retouches here State.As a result acquisition module 23 further to the degree of correlation and information type can be set.If user is in a certain vertical channel Middle to select information search mode provided by the invention, then result acquisition module 23 can correspondingly increase the phase of this information type Guan Du, i.e., the major demands using this information type as user.

By taking search key " Liu Dehua " as an example, analyzed by segmenting word processing module 220 and intention assessment module 221 Afterwards, show that the information type that this search key is related to includes picture, video, news, encyclopaedia etc..In the situation shown in Fig. 3 In, user is in the vertical channel input search key of picture and is retrieved, then result acquisition module 23 is using picture as user Major demands information, and obtain most data results, and by other information, such as character introduction, news, video, as Auxiliary information is shown.

Similarly, for news search channel, then result acquisition module 23 can be from the database of other corresponding channels The information such as acquisition and the relevant picture of news, video and track of issues;For map search, some place name is searched in user Or during mechanism, obtain the character introduction of related place name, building picture etc..

Alternatively, corresponding multiple all types of of vertical search database of the as a result acquisition of acquisition module 23 search key are searched Rope result data is further:Obtain and search in the corresponding vertical search database of information type from the degree of correlation higher than predetermined threshold value Rope result data.This is because, for part searches keyword, the information type of user demand may be quite varied, and all kinds of The degree of correlation difference of type is larger, if obtaining information from all relevant vertical channels, may reduce inquiry velocity, together When, the result of return may be excessively various, is unfavorable for the use of most of user.At this moment, as a result acquisition module 23 can basis The quantitative evaluation that intention assessment module 221 makes the degree of correlation, sets a threshold value for the degree of correlation in advance, if a certain type The degree of correlation is less than the threshold value, then it is assumed that the type information is not required in user, does not also obtain information from corresponding vertical channel.

Module 24 is integrated to be suitable for multiple search result datas are integrated and showed.

The degree of correlation of each information type should be considered by integrating when module 24 carries out the integration of result data, shows.Fig. 3 is shown Examples of multiple search result datas after integration.Wherein, user submits search key " Liu Dehua " in Photo channel, then Integrating module 24 can show " Liu Dehua " relevant personage's picture as main result, by the other kinds of search of acquisition It is shown in as a result, floating such as profile, the stronger news of timeliness, and the content such as relevant newest films and television programs of personage The left side of image results is selected for user, or is presented in the form of pop-up window, Framework Net Page etc..

Integrate module 24 to be further adapted for carrying out reset to search results pages according to default template according to the degree of correlation, will obtain The different type result taken is shown again as after relevancy ranking.Here the sequence between type is included first, secondly same class The sequence of type result.Such as in figure 3, integrate module 24 preferentially illustrate the high profile of the degree of correlation, be afterwards news and Newest video;And in results for video, illustrate currently two films and television programs highest with personage's degree of correlation.

In case above, user is the search key inputted in vertical channel.If user is in universal search Page submit search key, integrate module 24 can in result page by preferentially shown in the degree of correlation keyword encyclopaedia, Content in music, video, picture, the url list that then displaying universal search obtains in lower section.

Integrate the template that typesetting of the module 24 to result page is provided previously by according to search service provider to carry out, for example, passing through Html language, java scripts etc. write-in the page source code in, to the font size in the page, color, picture, video etc. it is embedding Enter position etc. to be set.

In the device that the above embodiment of the present invention provides, receiving module receives search key input by user, analysis Module carries out semantic analysis by segmenting word processing module therein and intention assessment module to search key, show that user needs The multiple information types and the corresponding degree of correlation asked, then, as a result acquisition module is according to the degree of correlation, in all types of vertical search data Match the search key in storehouse, obtain search key in corresponding vertical search database as a result, whole through integrating module Close rear line displaying.Using the device, the search result finally obtained combines the content of multiple vertical channels, contains use The various possible demands in family, compared with universal search, specific aim is stronger, and user's selection is only limited to unlike vertical search Current channel, so as to reduce the invalid operation of user, more efficiently meet user demand.

Algorithm and display be not inherently related to any certain computer, virtual system or miscellaneous equipment provided herein. Various general-purpose systems can also be used together with teaching based on this.As described above, required by constructing this kind of system Structure be obvious.In addition, the present invention is not also directed to any certain programmed language.It should be understood that it can utilize various Programming language realizes the content of invention described herein, and the description done above to language-specific is to disclose this hair Bright preferred forms.

In the specification that this place provides, numerous specific details are set forth.It is to be appreciated, however, that the implementation of the present invention Example can be put into practice in the case of these no details.In some instances, known method, structure is not been shown in detail And technology, so as not to obscure the understanding of this description.

Similarly, it will be appreciated that in order to simplify the disclosure and help to understand one or more of each inventive aspect, Above in the description to the exemplary embodiment of the present invention, each feature of the invention is grouped together into single implementation sometimes In example, figure or descriptions thereof.However, the method for the disclosure should be construed to reflect following intention:I.e. required guarantor The application claims of shield features more more than the feature being expressly recited in each claim.It is more precisely, such as following Claims reflect as, inventive aspect is all features less than single embodiment disclosed above.Therefore, Thus the claims for following embodiment are expressly incorporated in the embodiment, wherein each claim is in itself Separate embodiments all as the present invention.

Those skilled in the art, which are appreciated that, to carry out adaptively the module in the equipment in embodiment Change and they are arranged in one or more equipment different from the embodiment.Can be the module or list in embodiment Member or component be combined into a module or unit or component, and can be divided into addition multiple submodule or subelement or Sub-component.In addition at least some in such feature and/or process or unit exclude each other, it can use any Combination is disclosed to all features disclosed in this specification (including adjoint claim, summary and attached drawing) and so to appoint Where all processes or unit of method or equipment are combined.Unless expressly stated otherwise, this specification (including adjoint power Profit requires, summary and attached drawing) disclosed in each feature can be by providing the alternative features of identical, equivalent or similar purpose come generation Replace.

In addition, it will be appreciated by those of skill in the art that although some embodiments described herein include other embodiments In included some features rather than further feature, but the combination of the feature of different embodiments means in of the invention Within the scope of and form different embodiments.For example, in the following claims, embodiment claimed is appointed One of meaning mode can use in any combination.

The all parts embodiment of the present invention can be with hardware realization, or to be run on one or more processor Software module realize, or realized with combinations thereof.It will be understood by those of skill in the art that it can use in practice Microprocessor or digital signal processor (DSP) come realize in information retrieval device according to embodiments of the present invention some or The some or all functions of person's whole component.The present invention is also implemented as perform method as described herein one Divide either whole equipment or program of device (for example, computer program and computer program product).It is such to realize this hair Bright program can store on a computer-readable medium, or can have the form of one or more signal.It is such Signal can be downloaded from internet website and obtained, and either provided on carrier signal or provided in the form of any other.

It should be noted that the present invention will be described rather than limits the invention for above-described embodiment, and ability Field technique personnel can design alternative embodiment without departing from the scope of the appended claims.In the claims, Any reference symbol between bracket should not be configured to limitations on claims.Word "comprising" does not exclude the presence of not Element or step listed in the claims.Word "a" or "an" before element does not exclude the presence of multiple such Element.The present invention can be by means of including the hardware of some different elements and being come by means of properly programmed computer real It is existing.In if the unit claim of equipment for drying is listed, several in these devices can be by same hardware branch To embody.The use of word first, second, and third does not indicate that any order.These words can be explained and run after fame Claim.

Claims (8)

1. a kind of information search method, including:
Receive the search key that user inputs in vertical channel;
Semantic analysis is carried out to described search keyword, multiple information types of user demand are drawn according to the result of semantic analysis And the corresponding degree of correlation, wherein, information type includes the combination of one or more of:Picture, video, news, encyclopaedia;
Described search keyword is matched respectively with all types of vertical search databases according to the degree of correlation of each information type, Obtain all types of search result datas of the corresponding multiple vertical search databases of described search keyword;
Reset is carried out to search results pages according to default template according to the degree of correlation, by all types of search result datas By being showed after the relevancy ranking, wherein, user inputs the corresponding vertical search number of vertical channel of search key The search result data returned according to storehouse shows for main demand information, the search knot that other types of vertical search database returns Fruit data show for auxiliary demand information;
Wherein, it is described by all types of search result datas by after the relevancy ranking show further comprising:
The all types of search result datas are subjected to byte orderings according to the degree of correlation;
To showing after same type of search results ranking.
2. according to the method described in claim 1, described obtain each of the corresponding multiple vertical search databases of search key Type search result data further comprises:It is higher than the corresponding vertical search database of information type of predetermined threshold value from the degree of correlation Middle acquisition search result data.
3. method according to claim 1 or 2, described to carry out semantic analysis to search key, according to semantic analysis As a result show that all information types for meeting user demand further comprise:
Segmenting word processing is carried out to described search keyword;
The result handled according to the segmenting word carries out user view identification, draws the multiple information types for meeting user demand.
4. method according to claim 1 or 2, the vertical search database includes picture searching database, video is searched Rope database, news search database or music searching database.
5. a kind of information retrieval device, including:
Receiving module, suitable for receiving the search key that user inputs in vertical channel;
Analysis module, suitable for carrying out semantic analysis to described search keyword, user demand is drawn according to the result of semantic analysis Multiple information types and the corresponding degree of correlation, wherein, information type includes the combination of one or more of:It is picture, video, new Hear, encyclopaedia;
As a result acquisition module, suitable for the degree of correlation according to each information type by described search keyword and all types of vertical search numbers Matched respectively according to storehouse, obtain all types of search result numbers of the corresponding multiple vertical search databases of described search keyword According to;
Module is integrated, suitable for carrying out reset to search results pages according to default template according to the degree of correlation, is searched all types of Rope result data by being showed after the relevancy ranking, wherein, the vertical channel that user inputs search key is corresponding The search result data that vertical search database returns shows for main demand information, and other types of vertical search database returns The search result data returned shows for auxiliary demand information;
Wherein, the integration module is further used for:According to default template search results pages are carried out with weight according to the degree of correlation The all types of search result datas are carried out byte orderings, to same type of search results ranking by typesetting according to the degree of correlation After showed.
6. device according to claim 5, the result acquisition module is further adapted for being higher than predetermined threshold value from the degree of correlation The corresponding vertical search database of information type in obtain search result data.
7. the device according to claim 5 or 6, the analysis module further comprises:
Segmenting word processing module, suitable for carrying out segmenting word processing to described search keyword;
Intention assessment module, the result suitable for being handled according to the segmenting word carry out user view identification, draw and meet user's need The multiple information types asked.
8. the device according to claim 5 or 6, the vertical search database includes picture searching database, video is searched Rope database, news search database or music searching database.
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