CN103034660B - Information providing method, Apparatus and system - Google Patents

Information providing method, Apparatus and system Download PDF

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CN103034660B
CN103034660B CN201110304658.8A CN201110304658A CN103034660B CN 103034660 B CN103034660 B CN 103034660B CN 201110304658 A CN201110304658 A CN 201110304658A CN 103034660 B CN103034660 B CN 103034660B
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information
search word
priority
category
browsing
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CN103034660A (en
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张木兰
刘正茂
徐亮
傅晓风
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Alibaba Singapore Holdings Pte Ltd
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Alibaba Group Holding Ltd
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Abstract

This application discloses a kind of information providing method, Apparatus and system, the method includes: according to the search word of user's input, the information that the publisher of inquiry storage issues, determines that the information content comprising search word in each information category accounts for the quantitative proportion of the information total quantity comprising search word;The information of the side of the browsing click of inquiry storage, according to comprising the clicked number of times of information of search word in each information category, determines the relevance weight of search word and each information category;According to quantitative proportion and relevance weight, determine the prediction priority of each information category comprising search word;According to prediction priority and default priority regulation rule, determine the offer priority of each information category, and according to providing priority to provide a user with the information mated with search word.The method combines the information and preset rules offer information that publisher issues, the side of browsing clicks on, and makes the information of offer more rationally, accurately, decreases user's browse path.

Description

Information providing method, Apparatus and system
Technical field
The application relates to networking technology area, espespecially a kind of information providing method, Apparatus and system.
Background technology
Along with the Internet and e-commerce development, seller colony is more and more ripe, shows in e-commerce website Commodity also get more and more, when buyer's search commercial articles, the server of e-commerce website can be by certain Judgment mechanism judges that buyer buys the purchase intention of commodity, to determine that buyer is most concerned about which industry or which class Other commodity, i.e. determine that the industry of buyer is intended to, in order to provide more reasonable, accurate for buyer and have pin Merchandise news to property.
And prior art judging, the industry of buyer is intended to, be usually simple by nature Search Results and according to The click behavioral data at family does simply adds up merging, judges that the purchase of the commodity of industry-by-industry is anticipated by buyer Being willing to, this judgment mode realizes simple, but the merchandise news that seller shows to improve oneself at present is buyer Can show the probability of buyer during search, can disguise oneself as buyer improve oneself by the way of frequently click The commodity shown are determined to be the probability of the commodity meeting buyer's demand, and click fraud phenomenon becomes increasingly Seriously.
Due to click fraud phenomenon, the buyer that i.e. disguises oneself as frequently clicks on the phenomenon of the commodity that oneself shows increasingly Many, and the search intention of these buyers is indefinite, therefore so that in network, search intention is indefinite Buyer gets more and more, and the judgment accuracy causing e-business network site server to be intended to buyer's industry declines, Thus the commodity of high-quality can not be filtered out, provide suitable merchandise news for buyer accurately, or be not provided that Optimal merchandise display information, the path making buyer browse merchandise news increases, and increases buyer and searches suitable business The operation complexity of product, makes buyer need to browse more merchandise news and just can find satisfactory commodity, Cause buyer's browsing time to extend the system resource waste caused, add buyer and get commodity letter accurately The difficulty of breath.And this merchandise news presentation mode, it is achieved underaction, it is unfavorable for each output commodity letter The calling flexibly and safeguard extension of e-commerce website of breath.
Summary of the invention
The embodiment of the present application provides a kind of information providing method, Apparatus and system, in order to solve in prior art Exist and can accurately not increase the side of browsing browse for providing the information of high-quality as the information browse person of the side of browsing The path of information and browse operation complexity, cause the side's of browsing browsing time to extend the system resource waste caused Problem.
A kind of information providing method, including:
According to the search word of the user's input obtained, in Query Information publication database, the publisher of storage issues Information, determine that the information content comprising described search word in each information category accounts for and comprise described search word The quantitative proportion of information total quantity;And the letter that in Query Information acquisition database, the side of browsing of storage clicks on Breath, according to comprising the clicked number of times of information of described search word in each information category, determines described search word Relevance weight with each information category;
According to described quantitative proportion and relevance weight, determine each information category of comprising described search word Prediction priority;
According to the prediction priority determined and the priority regulation rule preset, determine each information category Priority is provided, and provides a user with, according to described offer priority, the information mated with described search word.
A kind of information provider unit, including:
Ratio-dependent module, for the search word according to the user's input obtained, Query Information publication database The information that the publisher of middle storage issues, determines the information content comprising described search word in each information category Account for the quantitative proportion of the information total quantity comprising described search word;
Weight determination module, for the search word according to the user's input obtained, Query Information acquisition database The information that the side of browsing of middle storage clicks on, according to comprising the information of described search word in each information category by point Hit number of times, determine the relevance weight of described search word and each information category;
Prediction Priority Determination module, for according to described quantitative proportion and relevance weight, determines and comprises institute State the prediction priority of each information category of search word;
There is provided Priority Determination module, for adjusting according to the prediction priority determined and the priority of presetting Rule, determines the offer priority of each information category, and according to described offer priority provide a user with The information of described search word coupling.
A kind of information-providing server, including above-mentioned information provider unit.
A kind of information providing system, including: client and above-mentioned information-providing server;
Described client, is supplied to described information-providing server for obtaining the search word of user's input, with And the information that described information-providing server provides is showed user.
The application has the beneficial effect that:
The information providing method of the embodiment of the present application offer, Apparatus and system, according to the search word of user's input, The information that in Query Information publication database, the publisher of storage issues, determines and comprises institute in each information category The information content stating search word accounts for the quantitative proportion of the information total quantity comprising described search word;And inquiry letter The information that in breath acquisition database, the side of browsing of storage clicks on, according to comprising described search in each information category The clicked number of times of information of word, determines the relevance weight of described search word and each information category;And according to really Fixed quantitative proportion and relevance weight, in conjunction with the priority regulation rule preset, determine each information category Offer priority so that the offer priority determined can react buyer (side of browsing) more accurately Industry be intended to, by user pay close attention to and information interested be preferentially supplied to user, such that it is able to avoid click on Swindle phenomenon, on precisely judging the impact that the side's of browsing industry is intended to, provides the product of more high-quality to believe for the side of browsing Breath, reduces the browse path of the side of browsing browse operation, reduces the complexity of operation, minimizing browse operation time Between, save system resource.The method can be realized by a single device, can be flexibly by multiple electricity Sub-business web site calls, it is simple to extends and safeguards, improves the reusability of resource.
Accompanying drawing explanation
Accompanying drawing described herein is used for providing further understanding of the present application, constitutes of the application Point, the schematic description and description of the application is used for explaining the application, is not intended that to the application not Work as restriction.In the accompanying drawings:
Fig. 1 is the structural representation of information providing system in the embodiment of the present application;
Fig. 2 is the flow chart of information providing method in the embodiment of the present application;
Fig. 3 is the schematic diagram of information providing method in the embodiment of the present application;
Fig. 4 is the concrete exemplary plot of information providing method in the embodiment of the present application;
Fig. 5 is the structural representation of information provider unit in the embodiment of the present application;
Fig. 6 is the systematic schematic diagram of information providing method in the embodiment of the present application.
Detailed description of the invention
In order to make technical problems to be solved in this application, technical scheme and beneficial effect clearer, clear, Below in conjunction with drawings and Examples, the application is further elaborated.Should be appreciated that this place is retouched The specific embodiment stated, only in order to explain the application, is not used to limit the application.
The commodity of high-quality can not be filtered out in order to solve e-business network site server present in prior art, Accurately for providing suitable merchandise news as the buyer of the side of browsing, the side of browsing is made to browse the road of merchandise news Footpath increases, and increases the problem that the operation complexity of suitable commercial product is searched by the side of browsing, and the embodiment of the present application provides A kind of information providing method, is realized by system as shown in Figure 1, and this system includes information-providing server 1 and client 2.Wherein:
Client 2, for obtaining the search word of user's input, and the information that is supplied to by described search word provides Server 1, and the information that information-providing server 1 provides is showed user.
The search word that information-providing server 1 inputs according to user, issues data in conjunction with search engine to information In storehouse, Query Result and the navigation algorithm of the information that the publisher of storage issues are deposited in information gathering data base The correlativity calculation result of the information that the side of browsing of storage clicks on, in conjunction with the priority regulation rule preset, determines The offer priority of each information category, and provide a user with and described search word according to described offer priority The information of coupling.
When information-providing server 1 is for e-commerce website, the information that the publisher of its storage issues is The merchandise news that seller issues, the information that the side of browsing of storage clicks on also refers to the merchandise news that buyer clicks on.
The flow process of above-mentioned information providing method is as in figure 2 it is shown, its principle is as it is shown on figure 3, comprise the steps:
Step S11: obtain the search word of user's input.
User can use client to input search word, and the user generally as the side of browsing can be searched by input The mode of rope word searches oneself information interested, and the search word that server side inputs according to the side of browsing user is looked into Look for the information that publisher shows, provide for the side of browsing user.
Step S12: according to the search word obtained, in Query Information publication database, the publisher of storage issues Information, determine that the information content of the search word comprising acquisition in each information category accounts for the search comprising acquisition The quantitative proportion of the information total quantity of word.
The process of quantification ratio specifically includes: determine that in information publication database, the publisher of storage issues Information in comprise the total quantity of information of search word of acquisition, and each information category comprises acquisition First quantity of the information of search word;Calculate the ratio of each first quantity and the total quantity determined respectively, The information content obtaining comprising search word in each information category accounts for the information sum of the search word comprising acquisition The ratio of amount.
Wherein, in information publication database, storage has the information that all publishers issue, as shown in Figure 3, Searching for these information by search engine inquiry, this is the true statistical to the information that publisher issues, accordingly Can obtain embodying the industry distribution data of the incidence relation of the information that the side's of browsing search word is issued with publisher Relation, wherein industry distribution data can be understood as certain product distribution situation in each information category.
Step S13: according to the search word obtained, the side's of browsing click of storage in Query Information acquisition database Information, according to the clicked number of times of information of the search word comprising acquisition in each information category, determine acquisition The relevance weight of search word and each information category.
Determine that the process of relevance weight specifically includes: determine the side's of browsing point of storage in information gathering data base The information hit comprises the clicked total degree of the information of the search word of acquisition, and in each information category Comprise the first clicked number of clicks of the information of the search word of acquisition;Calculate respectively determine each One number of clicks and the ratio of total degree, obtain the information quilt of the search word comprising acquisition in each information category Number of clicks accounts for the relevance weight of the clicked total degree of information of the search word comprising acquisition.
Wherein, in information gathering data base, storage has the collection data to the information that the side of browsing clicks on, and record is each The various information that the individual side of browsing once clicked on.As shown in Figure 3, by navigation algorithm, according to gathering data, Calculating the search word of the side's of browsing input and the dependency of each information category, this is to the side's of browsing operation behavior number According to statistics, the row embodying the side's of browsing search word with the incidence relation of the side's of browsing operation behavior can be obtained accordingly Industry distribution statistics.
Step S14: according to the above-mentioned quantitative proportion determined and relevance weight, determine the search comprising acquisition The prediction priority of each information category of word.Wherein, it was predicted that priority is according to quantitative proportion and dependency One priority level of each information category that weight primarily determines that puts in order, and each information category is excellent by prediction After first level arrangement, follow-up each further according to obtaining after the information category that priority is wherein designated is adjusted The offer priority of information category.
Determine that the process of prediction priority specifically includes: obtain first weighting corresponding with quantitative proportion preset The factor and second weighter factor corresponding with relevance weight;The most calculated quantitative proportion and first adds The product of weight factor, and the product of the relevance weight obtained and the second weighter factor, and to taking advantage of of obtaining Long-pending summation, obtains the predictive value of each information category of the search word comprising acquisition;According to the predictive value obtained Size determine prediction priority.
Wherein, the first weighter factor is the quantitative proportion the determined weight coefficient when calculating predictive value, the Two weighter factors are the relevance weight the determined weight coefficient when calculating predictive value, the first weighter factor Can be arranged as required to the value of the second weighter factor, it is preferred that the first weighter factor and the second weighting The span of the factor is 0~1.
Wherein, when determining prediction priority according to the size of the predictive value obtained, can be according to each info class Other predictive value size order, determines the prediction priority of each information category, such as: predictive value maximum The prediction priority of information category is the highest, it was predicted that the prediction priority of the information category that value is minimum is minimum;Otherwise Also may be used.
Such as it is shown on figure 3, be intended to computing platform by the side's of browsing industry and calculate: obtain comprises acquisition The size of the predictive value of each information category of search word is expressed as f (x), then:
Wherein, C represents the search word of acquisition and the relevance weight of each information category, is to call navigation algorithm The user's search word navigation algorithm anticipatory data distribution obtained;X represent the weighting corresponding with relevance weight because of Son, for the threshold values determined according to website platform truthful data distribution situation;B/A represents each info class The information content of the search word comprising acquisition in not accounts for the quantity of the information total quantity of the search word comprising acquisition Ratio, B is that the information comprising search word of calling search engine acquisition is at each information category, i.e. every profession and trade Product data distribution situation, A be calling search engine obtain the information comprising search word in all row Overall product data distribution;(1-x) weighter factor that expression is corresponding with quantitative proportion.
Certainly, this one simply calculating predictive value can preferred form of this, it is also possible to counted by some modes of texturing Calculate, such as: two weighter factor sums are not equal to 1, etc..
Step S15: according to the prediction priority determined and the priority regulation rule preset, determine each The offer priority of information category.Wherein, priority regulation rule refer to configuration to the above-mentioned prediction determined The rule that priority is adjusted, wherein can specify certain/priority of a little information categories.
Determine that the process providing priority specifically includes: the priority regulation rule that inquiry is preset, acquisition comprises The assigned priority of selected information classification in the information category of search word;Preferential to prediction according to assigned priority Level is adjusted, and obtains the offer priority that each information category is corresponding.
Assigned priority refer to certain/a little information categories can configure its priority, such as, specify certain information The priority of classification is 1, and the priority of another information category is 5 etc..According to assigned priority to prediction Priority is adjusted referring to, on the basis of prediction priority arrangement order, to which specify priority Information category is adjusted to corresponding priority position.
Configuration intervention rule arranges and can realize arranging priority regulation rule as shown in Figure 3, Fig. 3 institute The intervention rule comprising search word shown realizes obtaining selected information classification in the information category comprising search word Assigned priority.
Step S16: provide a user with the information mated with search word according to the offer priority determined.
As shown in Figure 3, the visitor that information-providing server uses to user according to the offer priority determined Family end provides the information mated with search word, client present to user.According to provide priority to When family provides information, can be according to providing priority order from high to low by complete for the information mated with search word Portion shows user.The categorical measure of the information being supplied to user can also be specified, when specifying categorical measure Time, order the most from high to low determines the information providing a user with which information category.Such as only There is provided prediction priority bit in front three, the information category of first five or first eight bits information to user, specifically It is that former position determines according to the categorical measure specified.
As shown in Figure 4, input as a example by search word mp3 by user, describe above-mentioned information providing method in detail Implement process.
After user inputs search word mp3, server gets this search word, calls offer mass data and looks into The search engine asking service obtains the side's of browsing search word product information industry data distribution and the product of single industry Product informational capacity;I.e. obtain total quantity and each information of the information that the publisher comprising search word mp3 issues Classification comprises the information content of search word mp3.
Such as shown in Fig. 4, information category or say that product information industry includes mobile phones, car Video, car dvd player ... etc..(Mp3, car dvd player, information content) in such as figure Represent that (side's of browsing search word is looked in this product information industry for the side's of browsing search word, product information industry Ask the information content arrived), the data set order that search engine returns is can according to information content from high to low Arrangement.
After user inputs search word mp3, server gets this search word, calls navigation algorithm part, Navigation algorithm part can browse catalogue according to the industry that user's search word provides relatedness strong, obtains the side of browsing Search word expection industry data distribution and corresponding weight.I.e. obtain the side's of browsing click comprises search word mp3 The total quantity of information and the side of browsing click each information category in comprise the information content of search word mp3.
The most such as shown in Fig. 4, navigation algorithm part obtains (mp3, mobile phones, weight) Represent that (side's of browsing search word is relevant to this product information industry for the side's of browsing search word, product information industry Property weight), navigation algorithm part return data set order can also be arranged from high to low by weighted value. This part actually obtains the side's of browsing industry intent data distribution.
Then it is intended to computing terrace part by the side's of browsing industry and carries out conformity calculation, provide according to search engine User's search word navigation algorithm anticipatory data that the distribution of product industry truthful data provides with navigation algorithm part Distribution carries out conformity calculation, such as, can carry out conformity calculation according to the computing formula of above-mentioned f (x).
Such as: search engine provide data include (mp3, mobile phones, product quantity A), (mp3, car video, product quantity B), (mp3, car dvd player, product quantity C), (mp3, Navigation&GPS, product quantity D), (mp3, mp3 players, product quantity E), (mp3, speaker, Product quantity F), (mp3, digital photo frame, product quantity G), (mp3, car mp3 player, Product quantity H)---}.I.e. search engine provides above-mentioned product industry (the such as mobile phones enumerated Deng) in comprise the quantity of information of search word mp3.
The data that navigation algorithm part provides include: (mp3, mobile phones, weight a), (and mp3, Mp3players, weight b), (mp3, navigation&GPS, weight c), (mp3, car mp3 player, Weight d), (mp3, mp4 players, weight e), (mp3, car video, weight f), (mp3, car Dvd player, weight g), and (mp3, speaker, weight h)---}.I.e. navigation algorithm provides above-mentioned enumerating Product industry (such as mobile phones etc.) in comprise the information of search word mp3 and search word mp3 Relevance weight.
Configuration Interference service platform part, intervenes the distribution of navigation algorithm anticipatory data, increases data more reasonable and correct Property distribution, configuration intervene high priority data consider, f (x) data arrange rearward, and carry out duplicate removal merging and number According to rearranging, such as: configuration intervene the regulation rule that sets as data acquisition system (mp3, mp3 players, 2), (mp3, mp4 players, 6), (mp3, digital photo frame, 0)---}, wherein, 2,6 The ordinal position that expression is to be arranged, 0 represents that the related data of this data industry to be deleted, and number is intervened in configuration According to being a small amount of, can not rank commensurability with f (x), the i.e. assigned priority of a predetermined fraction information category.
The f (x) being intended to obtain after computing platform calculates by the side's of browsing industry is { (mp3, mobile Phones), (mp3, car video), (mp3, mp3 players), (mp3, car dvd player), (mp3, Mp4 players), (mp3, navigation&GPS), (mp3, speaker), (mp3, car mp3 player), (mp3, digital photo frame)----after, the result intervened in conjunction with configuration, the number after the merging obtained { (mp3, mp3 players, 2), (mp3, mp4 players, 6), (mp3, digital is included according to set Photo frame, 0), (mp3, mobile phones), (mp3, car video), (mp3, mp3 players), (mp3, car dvd player), (mp3, mp4 players), (mp3, navigation&GPS), (mp3, Speaker), (mp3, car mp3 player), (mp3, digital photo frame)----,
After the first step merges, then the duplicate removal carrying out second step processes and each information of the position arrangement of the 3rd step The offer priority arrangement order of classification is: (mp3, mobile phones), and (mp3, mp3 players), (mp3, car video), (mp3, car dvd player), (mp3, navigation&GPS), (mp3, Mp4 players), (mp3, speaker), (mp3, car mp3 player) }.
Based on above-mentioned information providing method, a kind of information provider unit that the embodiment of the present application also provides for, this dress Putting in the server in the information providing system can being arranged on as shown in Figure 5, the structure of this device such as schemes institute Show, including: ratio-dependent module 10, weight determination module 20, prediction Priority Determination module 30 with carry For Priority Determination module 40.
Ratio-dependent module 10, for the search word according to the user's input obtained, Query Information issues data The information that in storehouse, the publisher of storage issues, determines the information of the search word comprising acquisition in each information category Quantity accounts for the quantitative proportion of the information total quantity of the search word comprising acquisition.
Weight determination module 20, for the search word according to the user's input obtained, Query Information gathers data The information that in storehouse, the side of browsing of storage clicks on, according to the information of the search word comprising acquisition in each information category Clicked number of times, determines the search word of acquisition and the relevance weight of each information category.
Prediction Priority Determination module 30, for each information category determined according to ratio-dependent module 10 Quantitative proportion and the relevance weight of each information category determined of weight determination module 20, determine and comprise The prediction priority of each information category of the search word obtained.
There is provided Priority Determination module 40, for the prediction determined according to prediction Priority Determination module 30 Priority and the priority regulation rule preset, determine the offer priority of each information category, and according in advance Survey the Priority Determination module 30 offer priority determined to provide a user with and mate with the search word obtained Information.
Preferably, aforementioned proportion determines module 10, specifically for determining that store in information publication database sends out The information that cloth side issues comprises the total quantity of the information of the search word of acquisition, and each information category wraps First quantity of the information containing search word;Calculate the first quantity that each information category determined is corresponding respectively With the ratio of above-mentioned total quantity, the information content of the search word obtaining comprising acquisition in each information category accounts for bag Ratio containing the information total quantity of the search word obtained.
Preferably, above-mentioned weight determination module 20, specifically for determining in information gathering data base the clear of storage The information that the side of looking at clicks on comprises the clicked total degree of the information of the search word of acquisition, and each information Classification comprises the first clicked number of clicks of the information of search word;Calculate each letter determined respectively Cease the first number of clicks corresponding to classification and the ratio of total degree, obtain each information category comprises acquisition The clicked number of times of information of search word accounts for the dependency of the clicked total degree of information of the search word comprising acquisition Weight.
Preferably, above-mentioned prediction Priority Determination module 30 is corresponding specifically for obtaining the quantitative proportion preset The first weighter factor second weighter factor corresponding with relevance weight;Calculate each information category respectively corresponding The quantitative proportion relevance weight that each information category is corresponding with the sum of products of the first weighter factor add with second The product of weight factor, and to the product summation obtained, obtain each information category of the search word comprising acquisition Predictive value;Size according to the predictive value obtained determines each information category of the search word comprising acquisition Prediction priority.
Preferably, above-mentioned offer Priority Determination module 40, the search word of acquisition is comprised specifically for acquisition The assigned priority of selected information classification in information category;According to the assigned priority obtained to prediction priority It is adjusted, the offer priority of each information category of the search word comprising acquisition is provided.
Above-mentioned information provider unit, it is also possible to regard the side's of browsing industry as and be intended to determine platform, can arrange In the server of network side, it is also possible to being separately provided is an independent equipment.
As shown in Figure 6, in server side, the side's of browsing industry be intended to determine platform and search engine module, The priority regulation rule module settings that the data statistics module of navigation algorithm and configuration are intervened acts on jointly, poly- Collection product industry truthful data (search engine), navigation algorithm anticipatory data (navigation algorithm), manually run Data (configuration is intervened) carry out comprehensive computing, it is achieved to the determination providing priority.Wherein, configuration is intervened Priority regulation rule arrange to provide interface be set, it is allowed to operation personnel depaly is intervened, input The assigned priority of some selected information classification, priority regulation rule is inquired about, and inquires about the search of user's input The regulation rule that word is corresponding, such as assigned priority etc..The side's of browsing industry is intended to determine that platform provides to each The output interface of e-commerce website.
As shown in Figure 6, the side's of browsing industry is intended to determine that platform provides serviceization mode, and has opening OpenAPI interface mode, to provide any application call, such as, www.aliexpress.com applies, Search.aliexpress.com applies, and www.alibaba.com applies, and partner site connects with OpenAPI Mouth mode is called, and such as, navigates for keyword search results page classification in aliexpress.com, The keyword search results page presses sales volume sequence etc.;
As long as need to judge the application that the side's of browsing industry is intended to, all directly invoke this platform, it is not necessary to each Application is controlled oneself and is the most all developed these codes, resource reuse, safeguards and updates conveniently, low cost.
Said method is according to natural Search Results and the comprehensive operation result of user click data, in conjunction with actual products Result is intervened in the distribution of information industry data and expection industry data distribution and artificial operation, obtains rational data Distribution, more precisely determines the side's of browsing intention, reduces the side's of browsing browse path, strengthens website viscosity, filters out The product of more high-quality, prevents swindle, it is provided that a uniform service platform, intervenes with artificial operation data, And come into force in real time, it is provided that serviceization mode, can be called flexibly, safeguard and extend, improve resource reuse Property.
Wherein, search engine data merge with navigation algorithm data, can effectively prevent user from clicking maliciously Swindle, disturbs normal data distribution, configuration intervention data to merge and comes into force in real time, some data can be avoided dilute In the case of Shuing, accurate data problem, ultimately form a unified platform, in service mode, provide flexibly To external call.
Described above illustrate and describes the preferred embodiment of the application, but as previously mentioned, it should be understood that this Shen Please be not limited to form disclosed herein, be not to be taken as the eliminating to other embodiments, and can be used for Other combinations various, amendment and environment, and can be in invention contemplated scope described herein, by above-mentioned religion Lead or the technology of association area or knowledge are modified.And the change that those skilled in the art are carried out and change do not take off From spirit and scope, the most all should be in the protection domain of the application claims.

Claims (13)

1. an information providing method, it is characterised in that including:
According to the search word of the user's input obtained, in Query Information publication database, the publisher of storage issues Information, determine that the information content comprising described search word in each information category accounts for and comprise described search word The quantitative proportion of information total quantity;And the letter that in Query Information acquisition database, the side of browsing of storage clicks on Breath, according to comprising the clicked number of times of information of described search word in each information category, determines described search word Relevance weight with each information category;Wherein, described relevance weight is to call the use that navigation algorithm obtains Family search word navigation algorithm anticipatory data distribution, it is possible to embody the side's of browsing search word with the side's of browsing action row for it Between incidence relation;Described quantitative proportion is the product industry truthful data distribution provided according to search engine, The incidence relation between the information of the side's of browsing search word and publisher's issue can be embodied;Described navigation algorithm is The strong industry of relatedness can be provided according to user's search word and browse the algorithm of catalogue;
According to described quantitative proportion and relevance weight, determine each information category of comprising described search word Prediction priority;
According to the prediction priority determined and the priority regulation rule preset, determine each information category Priority is provided, and provides a user with, according to described offer priority, the information mated with described search word.
2. the method for claim 1, it is characterised in that described determine in each information category wrap Information content containing described search word accounts for the quantitative proportion of the information total quantity comprising described search word, specifically wraps Include:
Determine in the information that in described information publication database, the publisher of storage issues and comprise described search word The total quantity of information, and each information category comprises the first quantity of the information of search word;
Calculate the ratio of each described first quantity and the described total quantity determined respectively, obtain each information The information content comprising described search word in classification accounts for the ratio of the information total quantity comprising described search word.
3. the method for claim 1, it is characterised in that described according to bag in each information category The clicked number of times of information containing described search word, determines the dependency power of described search word and each information category Weight, specifically includes:
Determine in the information that in described information gathering data base, the side of browsing of storage clicks on and comprise described search word The clicked total degree of information, and each information category comprises information clicked of search word First number of clicks;
Calculate the ratio of each described first number of clicks and the described total degree determined respectively, obtain each The clicked number of times of information comprising described search word in information category accounts for the information comprising described search word by point Hit the relevance weight of total degree.
4. the method for claim 1, it is characterised in that according to described quantitative proportion and dependency Weight, determines the prediction priority of each information category comprising described search word, specifically includes:
The first weighter factor obtaining the described quantitative proportion preset corresponding is corresponding with described relevance weight Second weighter factor;
Calculate relevance weight and second described in the sum of products of described quantitative proportion and the first weighter factor respectively The product of weighter factor, and to the product summation obtained, obtain comprising each information category of described search word Predictive value;
Size according to described predictive value determines described prediction priority.
5. method as claimed in claim 4, it is characterised in that described first weighter factor and second adds The span of weight factor is 0~1.
6. the method as described in claim 1-5 is arbitrary, it is characterised in that it is pre-that described basis is determined Survey priority and the priority regulation rule preset, the offer priority of each information category is provided, specifically wraps Include:
The priority regulation rule that inquiry is preset, obtains selected information in the information category comprising described search word The assigned priority of classification;
According to described assigned priority, described prediction priority is adjusted, described offer priority is provided.
7. an information provider unit, it is characterised in that including:
Ratio-dependent module, for the search word according to the user's input obtained, Query Information publication database The information that the publisher of middle storage issues, determines the information content comprising described search word in each information category Account for the quantitative proportion of the information total quantity comprising described search word;
Weight determination module, for the search word according to the user's input obtained, Query Information acquisition database The information that the side of browsing of middle storage clicks on, according to comprising the information of described search word in each information category by point Hit number of times, determine the relevance weight of described search word and each information category;Wherein, described relevance weight It is to call user's search word navigation algorithm anticipatory data distribution that navigation algorithm obtains, it is possible to embody the side of browsing and search Incidence relation between rope word and the side's of browsing operation behavior;Described quantitative proportion provides according to search engine Product industry truthful data is distributed, it is possible to embody the pass between the information of the side's of browsing search word and publisher's issue Connection relation;Described navigation algorithm is can to browse catalogue according to the industry that user's search word provides relatedness strong Algorithm;
Prediction Priority Determination module, for according to described quantitative proportion and relevance weight, determines and comprises institute State the prediction priority of each information category of search word;
There is provided Priority Determination module, for adjusting according to the prediction priority determined and the priority of presetting Rule, determines the offer priority of each information category, and according to described offer priority provide a user with The information of described search word coupling.
8. device as claimed in claim 7, it is characterised in that described ratio-dependent module, specifically uses In:
Determine in the information that in described information publication database, the publisher of storage issues and comprise described search word The total quantity of information, and each information category comprises the first quantity of the information of search word;Count respectively Each described first quantity determined and the ratio of described total quantity, obtain comprising in each information category The information content of described search word accounts for the ratio of the information total quantity comprising described search word.
9. device as claimed in claim 7, it is characterised in that described weight determination module, specifically uses In:
Determine in the information that in described information gathering data base, the side of browsing of storage clicks on and comprise described search word The clicked total degree of information, and each information category comprises information clicked of search word First number of clicks;Calculate the ratio of each described first number of clicks and the described total degree determined respectively Value, the clicked number of times of information obtaining comprising described search word in each information category accounts for and comprises described search word The relevance weight of the clicked total degree of information.
10. device as claimed in claim 7, it is characterised in that described prediction Priority Determination module, Specifically for:
The first weighter factor obtaining the described quantitative proportion preset corresponding is corresponding with described relevance weight Second weighter factor;Calculate dependency power described in the sum of products of described quantitative proportion and the first weighter factor respectively Weight and the product of the second weighter factor, and to the product summation obtained, obtain comprising each of described search word The predictive value of information category;Size according to described predictive value determines described prediction priority.
11. devices as described in claim 7-10 is arbitrary, it is characterised in that described offer priority determines Module, specifically for:
Obtain the assigned priority of selected information classification in the information category comprising described search word;According to described Described prediction priority is adjusted by assigned priority, obtains described offer priority.
12. 1 kinds of information-providing server, it is characterised in that include as described in claim 7-11 is arbitrary Information provider unit.
13. 1 kinds of information providing systems, it is characterised in that including: client and such as claim 12 institute The information-providing server stated;
Described client, is supplied to described information-providing server for obtaining the search word of user's input, with And the information that described information-providing server provides is showed user.
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