CN102890683B

CN102890683B - Information providing method and device

Info

Publication number: CN102890683B
Application number: CN201110205289.7A
Authority: CN
Inventors: 李永亮
Original assignee: Alibaba Group Holding Ltd
Current assignee: Alibaba Group Holding Ltd
Priority date: 2011-07-21
Filing date: 2011-07-21
Publication date: 2016-01-20
Anticipated expiration: 2031-07-21
Also published as: HK1176707A1; CN102890683A

Abstract

This application discloses a kind of information providing method and device, the method comprising the steps of: according to the search keyword of user's input, search each channel searching that described search keyword is corresponding; For the channel searching found, perform respectively: in the information that this channel searching comprises, search for the information that described search keyword is corresponding; Obtain the channel relevance degree between this channel searching and described search keyword; According to the channel relevance degree obtained, determine the channel degree of correlation grade of this channel searching for described search keyword; According to each channel degree of correlation grade determined, determine putting in order of each channel searching; According to putting in order of each channel searching determined, the information searched is supplied to user.Adopt technical scheme, solve exist in prior art consume the more process resource in website, reduce search treatment effeciency problem.

Description

Information providing method and device

Technical field

The application relates to technical field of information processing, particularly relates to a kind of information providing method and device.

Background technology

Along with the development of Internet technology, increasing information resources select network as the carrier propagated.In the internet information of magnanimity, required information is obtained in order to enable user, most of website all provides function of search, when user needs to search for certain information, can in website inputted search keyword, the information relevant to this search keyword is searched in this website, is then supplied to user.

Existing search technique comprises comprehensive search technology and vertical search technology two kinds.Wherein, website based on comprehensive search technology for user provides the method for information is: the search keyword first receiving user's input, then, in all information stored, search the information relevant to this search keyword, and then the information found is supplied to user; Website based on vertical search technology for user provides the method for information is: website is in advance according to the type of information, the all information stored are divided into each vertical channel searching, each channel searching comprises the information of a type, when user needs to search for certain information, first in all channel searchings, a channel searching is selected, then inputted search keyword in the channel searching selected, search the information corresponding with this search keyword in all information that website comprises at this channel searching, be then supplied to user.

Because vertical search technology can be searched in the information of particular type, the accuracy of search is higher, therefore a large amount of website based on vertical search technology for user provides information, such as the information of product class is divided into product channel by some e-commerce website in advance, information class information is divided into Info channel, when user needs the information of searching products class, can directly searches in product channel, when needing search information class information, can directly search in Info channel.

A website may comprise a lot of channel searchings, and user can only search in a channel searching at every turn, therefore when user can not determine the type belonging to the information needing search, a channel searching can only be first selected in all channel searchings, if do not search required information in this channel searching, then need to select again other a channel searching to search for, until search required information.That is, based on vertical search technology website for user information is provided time, user possibly cannot search required information in a channel searching, need user in different channel searchings, input identical search keyword continuously to search for, this just makes the accuracy of user search lower, waste the search process resource that website is more, reduce search treatment effeciency.

For the problems referred to above, prior art proposes a kind of scheme of carrying out multichannel search information based on vertical search technology, and as shown in Figure 1, its concrete processing procedure is as follows:

Step 11, website is in advance according to the type of information, the all information stored are divided into each vertical channel searching, each channel searching comprises the information of a type, when user needs to search for certain information, first in all channel searchings, select a channel searching, then inputted search keyword in the channel searching selected, website obtains the search keyword of user's input;

Step 12, the channel searching that this search keyword is corresponding, according to this search keyword, in the corresponding relation between search keyword and channel searching, is searched in website;

Step 13, in the information comprised at each channel searching found respectively, searches for the information that this search keyword is corresponding;

Step 14, is supplied to user by the information searched.

Therefore, when user inputs certain search keyword, website can be searched for respectively in each channel searching that this search keyword is corresponding, and no longer need user in different channel searchings, input identical search keyword continuously to search for, thus effectively improve the accuracy of user search information, save the search process resource that website is more, improve search treatment effeciency.

But, in technique scheme, when the information searched is supplied to user by website, each channel searching putting in order in webpage is generally random, such as, the channel searching of search keyword " mobile phone " correspondence is " product channel ", " company's channel " and " Info channel ", when the information searched is supplied to user by website, the information that " product channel " is corresponding may be come foremost, also the information that " company's channel " is corresponding foremost may be come, also the information that " Info channel " is corresponding foremost may be come.Due to user in the information searched, search required information time, need the link clicking each information successively, then determine whether it is the information required for oneself after browsing information content again, and website is when being supplied to user by the information searched, putting in order of each channel searching is random, so come in information corresponding to channel searching above the information that may not comprise required for user, therefore user just needs to perform clicking operation repeatedly and browse operation and just can find information required for oneself, such as, each channel searching put in order as " product channel " → " company's channel " → " Info channel ", that is, the information searched in " product channel " comes foremost, then be the information searched in " company's channel ", the information searched in " Info channel " comes backmost, but information required for user is the information searched in " Info channel ", therefore user first carries out clicking and browse operation for each information searched in " product channel " with regard to needing successively, and then carry out clicking and browse operation for each information searched in " company's channel " successively, the last information that just can find in each information that " Info channel " is corresponding required for oneself.Therefore, user needs to perform clicking operation repeatedly and browse operation just can find information required for oneself, and for each clicking operation of user and browse operation, website all needs to respond process accordingly, thus consume the more process resource in website, reduce the efficiency of search process.

Summary of the invention

The embodiment of the present application provides a kind of information providing method and device, in order to solve exist in prior art consume the more process resource in website, reduce search treatment effeciency problem.

The embodiment of the present application technical scheme is as follows:

A kind of information providing method, the method comprising the steps of: according to the search keyword of user's input, search each channel searching that described search keyword is corresponding; For the channel searching found, perform respectively: in the information that this channel searching comprises, search for the information that described search keyword is corresponding; Obtain the channel relevance degree between this channel searching and described search keyword; According to the channel relevance degree obtained, determine the channel degree of correlation grade of this channel searching for described search keyword; According to each channel degree of correlation grade determined, determine putting in order of each channel searching; According to putting in order of each channel searching determined, the information searched is supplied to user.

A kind of information provider unit, comprising: channel searches unit, for the search keyword inputted according to user, searches each channel searching that described search keyword is corresponding; Information search unit, for searching the channel searching that unit finds for channel, in the information comprised at this channel searching respectively, searches for the information that described search keyword is corresponding; Channel relevance degree obtains unit, for searching the channel searching that unit finds for channel, obtains the channel relevance degree between this channel searching and described search keyword respectively; Channel degree of correlation level de-termination unit, for searching the channel searching that unit finds for channel, obtains the channel relevance degree of unit acquisition respectively, determines the channel degree of correlation grade of this channel searching for described search keyword according to channel relevance degree; Put in order determining unit, for each channel degree of correlation grade determined according to channel degree of correlation level de-termination unit, determines putting in order of each channel searching; Information provider unit, for putting in order of each channel searching of determining according to the determining unit that puts in order, information information search unit searched is supplied to user.

In the embodiment of the present application technical scheme, first according to the search keyword of user's input, search each channel searching that described search keyword is corresponding, then for the channel searching found, in the information comprised at this channel searching respectively, search for the information that described search keyword is corresponding, obtain the channel relevance degree between this channel searching and described search keyword, again according to the channel relevance degree obtained, determine the channel degree of correlation grade of this channel searching for described search keyword, then according to each channel degree of correlation grade determined, determine putting in order of each channel searching, putting in order again according to each channel searching determined, the information searched is supplied to user, therefore, in the embodiment of the present application, when the information searched in multiple channel searching is supplied to user by website, first determine to put in order according to the channel degree of correlation grade of each channel searching for search keyword, then put in order carry out providing according to this, each channel searching putting in order in webpage is no longer random, so come in information corresponding to channel searching above the information that just may comprise required for user, therefore user is without the need to performing clicking operation repeatedly and browse operation, thus effectively save the more process resource in website, due to user can be very fast the information found from the information come above needed for oneself, therefore, it is possible to effectively improve search treatment effeciency.

Accompanying drawing explanation

Fig. 1 is in prior art, carries out the method flow schematic diagram of multichannel search information based on vertical search technology;

Fig. 2 is in the embodiment of the present application one, information providing method schematic flow sheet;

Fig. 3 is in the embodiment of the present application one, sets up the method flow schematic diagram of the corresponding relation between search keyword and channel searching;

Fig. 4 is in the embodiment of the present application three, information provider unit structural representation.

Embodiment

Below in conjunction with each accompanying drawing, the main of the embodiment of the present application technical scheme is realized principle, embodiment and set forth in detail the beneficial effect that should be able to reach.

Embodiment one

As shown in Figure 2, in the embodiment of the present application one, information providing method schematic flow sheet, its concrete processing procedure is as follows:

Step 21, according to the search keyword of user's input, searches each channel searching that described search keyword is corresponding;

Website is in advance according to the type of information, the all information stored are divided into each vertical channel searching, each channel searching comprises the information of a type, when user needs to search for certain information, first in all channel searchings, a channel searching is selected, then by web browser inputted search keyword in this channel searching, the search keyword that user inputs first is carried out standardization processing by website, such as remove unnecessary word, remove excess space, the conversion of upper and lower case letter, the conversion of full-shape half-angle, the conversion of simplified traditional font, remove punctuation mark, the conversion etc. of digital format.

Website is lower online in advance sets up the corresponding relation searched between keyword and channel searching, then after obtaining the search keyword of user's input on line, again according to the search keyword of user's input, in corresponding relation between search keyword and channel searching, search each channel searching that the search keyword of user's input is corresponding.

As shown in Figure 3, for setting up the method flow diagram of the corresponding relation between search keyword and channel searching under the line of website, its concrete treatment scheme is as follows:

Step 31, obtains the log recording in stipulated time length;

In prior art, when user searches for information in website, first a channel searching is selected, then by web browser inputted search keyword in this channel searching, website is according to the search keyword of input, information corresponding to this search keyword is searched in the information that this channel searching comprises, then the information searched is supplied to user with the form of search result list, the link of each information searched in this channel searching according to the search keyword of user's input is comprised in this search result list, user can fetch browsing information content by the chain clicked in search result list.The embodiment of the present application one proposes, if user have input search in certain channel searching, keyword is searched for, then this time search behavior of this user is recorded in log recording by web browser, and the corresponding relation between the search the keyword specifically search behavior of this user identified, inputted and this channel searching is recorded in log recording; If user clicks a link in search result list, then web browser is by this time click behavior record of this user in log recording, and the corresponding relation between the search keyword specifically the click behavior of this user identified, inputted and this channel searching is recorded in log recording.Wherein click behavior and search behavior all belong to operation behavior, and therefore click behavior mark and search behavior mark are operation behavior mark.

Step 32, extracts each search keyword in log recording, for each search keyword, determines the number of times of the search behavior that this search keyword occurs for each channel searching and the number of times of the behavior of click;

Step 33, for each search keyword, according to the number of times of the search behavior determined and the number of times of the behavior of click, determines the normalization operation behavior number of times of this search keyword for each channel searching respectively;

When determining normalization operation behavior number of times, one click behavior can be regarded as N search behavior (such as N=2), if search keyword " mobile phone " is 3 times for the number of times of the search behavior of " product channel ", the number of times of click behavior is 2 times, then search for keyword " mobile phone " for the normalization operation behavior number of times of " product channel " to be: (3+2N) is secondary.

Step 34, is greater than the channel searching of default operation behavior frequency threshold value, is defined as the channel searching that this search keyword is corresponding, thus determine the corresponding relation between each search keyword and channel searching by the normalization operation behavior number of times determined.

If some search keyword is considerably less for the normalization operation behavior number of times of certain channel searching, then illustrate that the user paying close attention to this search keyword under this channel searching is less, in order to improve treatment effeciency, save the storage space of website, an operation behavior frequency threshold value can be pre-set, only store normalization operation behavior number of times and be greater than the channel searching of this operation behavior frequency threshold value and the corresponding relation of search keyword.

Further, can also by each search keyword for the normalization operation behavior number of times corresponding record of each channel searching in above-mentioned corresponding relation, thus determine each search keyword, corresponding relation between channel searching and normalization operation behavior number of times.

Step 22, for the channel searching found, in the information comprised at this channel searching respectively, searches for the information that described search keyword is corresponding;

If finding channel searching corresponding to search keyword " mobile phone " is " product channel " and " knack of doing business channel ", then in the information comprised at " product channel " and " knack of doing business channel " respectively, the information that search is relevant to searching for keyword " mobile phone ".

Step 23, for the channel searching found, obtains the channel relevance degree between this channel searching and described search keyword respectively;

Each information that website stores at least one attribute corresponding, in each attribute of information, comprise static attribute and dynamic attribute, static attribute refers to the attribute not needing to dynamically update, such as the, during issue of information valid value, the title of information, the membership class of the user released news in website, the static attribute of the user released news to be the attribute such as corporate user or personal user be information, wherein, during the issue of information, valid value refers to that user issues the Time interval of this information from the time span between particular point in time, this particular point in time pre-sets, the valid value when issue of each information is determined according to the particular point in time that this pre-sets in website.User is after website orientation information, the attribute information of each static attribute of this information can be determined in website, then the attribute information of each static attribute determined is stored in attribute record file, store the corresponding relation between the mark of information and the attribute information of each attribute in attribute record file, the mark of information can be, but not limited to as the link of information or website are the unique index number that information is given;

The dynamic attribute of information refers to needs website to carry out the attribute dynamically updated, after user releases news, the attribute information of each static attribute of this information can be determined in website, but the attribute information of the dynamic attribute of this information needs to be dynamically updated in real time by website, such as, information correlation value between information and search keyword, whether the user released news is online, whether there is the reply carried out for this information, the message level of information in website, the attributes such as the number of visits (namely user clicks the number of times of the link of this information) of information are the dynamic attribute of information, wherein, website is in real time for each information division information grade, such as, when user releases news, the message level of this information is divided into ordinary grade by website, after the follow-up number of visits when this information is greater than default number of visits threshold value, the message level of this information is just divided into elite grade by website, in addition, user is in website after inputted search keyword, the search operation of information is carried out according to this search keyword in website, then for each information searched, calculate the information correlation value between search keyword that this information and user input respectively.Website periodically can upgrade the attribute information of the dynamic attribute of each information, and such as, the update cycle can be set to 10 minutes, so website just upgraded the attribute information of the dynamic attribute of each information every 10 minutes.

After site search to the information corresponding with the search keyword that user inputs, for each channel searching found, respectively in the information searched for this channel searching, select and meet pre-conditioned information, then for each attribute of the information selected, determine the attributes correlation value between the search keyword that this attribute and user input respectively, again according to each attributes correlation value determined, determine the channel relevance degree between the search keyword that this channel searching and user input.

Wherein, in the information searched for this channel searching, select when meeting pre-conditioned information, when can be, but not limited to according to information correlation value and issue, valid value is selected, concrete:

For each information searched in the information comprised at this channel searching, valid value when first obtaining the information correlation value between search keyword that this information and user input respectively in dependency log file and issue, when then selecting the information correlation value of acquisition and issue, valid value is maximum information, by the information selected, be defined as meeting pre-conditioned information.

In specific implementation process, can for each information searched in the information comprised at this channel searching, valid value when first obtaining the information correlation value between search keyword that this information and user input respectively in dependency log file and issue, then according to the order that information correlation value is descending, the each information searched in this channel searching is sorted, if the information correlation value of multiple information is equal, then again according to the order that valid value when issuing is descending, each information equal for information correlation value is sorted, first information so after sequence, when being information correlation value and issuing, valid value is maximum information.Such as, the search keyword of user's input is " mobile phone ", and corresponding channel searching is " product channel ", " company's channel ", " Info channel " and " knack of doing business channel ", the information searched in the information that " product channel " comprises is 5, is respectively information A1, information A2, information A3, information A4 and information A5, valid value when extracting the issue of above-mentioned 5 information in the first dependency log file in website, and above-mentioned 5 information and the information correlation value of searching between keyword " mobile phone ", wherein, during the issue of above-mentioned 5 information, valid value is respectively TA1, TA2, TA3, TA4, TA5, the information correlation value between above-mentioned 5 information and search keyword " mobile phone " is respectively WA1, WA2, WA3, WA4, WA5, the size of the information correlation value between more above-mentioned 5 information and search keyword " mobile phone ", obtains WA1=WA2=WA3 > WA4 > WA5, that is, information A1, information A2, information correlation value between information A3 with search keyword " mobile phone " is equal, and so comparison information A1 is continued in website, information A2, the valid value during issue of information A3, obtain TA3 > TA1 > TA2, so the order after above-mentioned 5 information sortings is: information A3 → information A1 → information A2 → information A4 → information A5, information A3 meet pre-conditioned information.

For each attribute of the information selected, to determine between the search keyword that this attribute and user input after attributes correlation value respectively, can be, but not limited to by each attributes correlation value of determining and, be defined as the channel relevance degree between search keyword that this channel searching and user input.Such as, each attribute kit of information A3 is containing attribute a1, attribute a2 and attribute a3, attributes correlation value between attribute a1 and search keyword " mobile phone " is Sa1, attributes correlation value between attribute a2 and search keyword " mobile phone " is Sa2, attributes correlation value between attribute a3 and search keyword " mobile phone " is Sa3, and the channel relevance degree so between " product channel " and search keyword " mobile phone " is PA=Sa1+Sa2+Sa3.

Step 24, for the channel searching found, respectively according to the channel relevance degree obtained, determines the channel degree of correlation grade of this channel searching for described search keyword;

When determining the channel degree of correlation grade of the search keyword that this channel searching inputs for user, first can determine the relevance degree region that each channel degree of correlation grade of this channel searching is corresponding respectively, then in each relevance degree region determined, search the relevance degree region belonging to channel relevance degree between search keyword that this channel searching and user input, again by the channel degree of correlation grade belonging to the relevance degree region that finds, be defined as the channel degree of correlation grade of the search keyword that this channel searching inputs for user.

The embodiment of the present application one proposes, the size of the height of channel degree of correlation grade and the numerical value of channel degree of correlation grade, can be proportional, namely the channel degree of correlation higher grade, then the numerical value of channel degree of correlation grade is larger, such as 1 grade of channel degree of correlation grade is higher than 0 grade of channel degree of correlation grade, the size of the height of channel degree of correlation grade and the numerical value of channel degree of correlation grade, also can be inversely, namely the channel degree of correlation higher grade, then the numerical value of channel degree of correlation grade is less, and such as 0 grade of channel degree of correlation grade is higher than 1 grade of channel degree of correlation grade.

In the embodiment of the present application one, the channel degree of correlation grade that each channel searching is corresponding may be different, and the relevance degree region of same channel degree of correlation grade in different channel searching also may be different, such as, if the size of the numerical value of the height of channel degree of correlation grade and channel degree of correlation grade inversely, " product channel " corresponding 8 channel degree of correlation grades, be respectively 0 grade to 7 grades, wherein 0 grade of corresponding relevance degree region is [9.9, + ∞), namely channel relevance degree is more than or equal to 9.9, then corresponding channel degree of correlation grade is 0 grade; " company's channel " corresponding 8 channel degree of correlation grades, are respectively 0 grade to 7 grades, wherein 0 grade of corresponding relevance degree region be [7.9 ,+∞), namely channel relevance degree is more than or equal to 7.9, then the channel degree of correlation grade of correspondence is 0 grade; " Info channel " corresponding 7 channel degree of correlation grades, are respectively 0 grade to 6 grades, wherein 0 grade of corresponding relevance degree region be [4.25 ,+∞), namely channel relevance degree is more than or equal to 4.25, then the channel degree of correlation grade of correspondence is 0 grade; " knack of doing business channel " corresponding 7 channel degree of correlation grades, are respectively 0 grade to 6 grades, wherein 0 grade of corresponding relevance degree region be [7.4 ,+∞), namely channel relevance degree is more than or equal to 7.4, then the channel degree of correlation grade of correspondence is 0 grade; Corresponding 8 channel degree of correlation grades of " wanting to buy channel ", are respectively 0 grade to 7 grades, wherein 0 grade of corresponding relevance degree region be [8.4 ,+∞), namely channel relevance degree is more than or equal to 8.4, then the channel degree of correlation grade of correspondence is 0 grade.

Step 25, according to each channel degree of correlation grade determined, determines putting in order of each channel searching;

The embodiment of the present application one proposes, can directly by channel degree of correlation grade order from high to low, be defined as putting in order of each channel searching, such as, the search keyword of user's input is " leather shoes ", the channel searching that this search keyword is corresponding is " product channel ", " company's channel " and " knack of doing business channel ", if the size of the numerical value of the height of channel degree of correlation grade and channel degree of correlation grade inversely, channel relevance degree between " product channel " and search keyword " leather shoes " is 9.1, channel degree of correlation grade for search keyword " leather shoes " is 1 grade, channel relevance degree between " company's channel " and search keyword " leather shoes " is 8.0, channel degree of correlation grade for search keyword " leather shoes " is 0 grade, channel relevance degree between " knack of doing business channel " and search keyword " leather shoes " is 6.0, channel degree of correlation grade for search keyword " leather shoes " is 6 grades, putting in order as " company's channel " → product channel of so each channel searching " → " knack of doing business channel ".

In addition, also first according to normalization operation behavior number of times, each channel searching found can be sorted, and then according to the channel degree of correlation grade of each channel searching, the order after sequence is adjusted, concrete:

First determine search keyword that user the inputs normalization operation behavior number of times for each channel searching found respectively, then according to the order that normalization operation behavior number of times is descending, the each channel searching found is sorted, in each channel searching found, judge whether the channel degree of correlation grade of the search keyword that first channel searching after sorting inputs for user is not less than the channel degree of correlation grade of the search keyword that other channel searching inputs for user, if the determination result is YES, then by the order after sequence, be defined as putting in order of each channel searching, if judged result is no, then according to each channel degree of correlation grade determined, order after sequence is adjusted, and by the order after adjustment, be defined as putting in order of each channel searching.

Wherein, according to the channel degree of correlation grade determined, can be, but not limited to as following to the detailed process that the order after sequence adjusts:

In each channel searching found, determine for the highest channel searching of the channel degree of correlation grade of the search keyword of user's input, then in the channel searching determined, select the channel searching that normalization operation behavior number of times is maximum, the channel searching selected is set to first channel searching after sequence, the order of other channel searching is constant.

Such as, the channel searching of search keyword " mobile phone " correspondence is " product channel ", " company's channel ", " Info channel " and " knack of doing business channel ", and to search for keyword " mobile phone " for the normalization operation behavior number of times of " product channel " be 10, normalization operation behavior number of times for " company's channel " is 8, normalization operation behavior number of times for " Info channel " is 6, normalization operation behavior number of times for " knack of doing business channel " is 4, the descending order of then normalization operation behavior number of times is " product channel " → " company's channel " → " Info channel " → " knack of doing business channel ", and " product channel " for search keyword " mobile phone " channel degree of correlation grade be 1 grade, " company's channel " is 0 grade for the channel degree of correlation grade of search keyword " mobile phone ", " Info channel " is 0 grade for the channel degree of correlation grade of search keyword " mobile phone ", " knack of doing business channel " is 6 grades for the channel degree of correlation grade of search keyword " mobile phone ", if the size of the numerical value of the height of channel degree of correlation grade and channel degree of correlation grade inversely, first channel searching " product channel " after so sorting according to normalization operation behavior number of times is for searching for the channel degree of correlation grade of keyword " mobile phone " lower than " company's channel " and " Info channel " the channel degree of correlation grade for search keyword " mobile phone ", therefore at " product channel ", " company's channel ", in " Info channel " and " knack of doing business channel ", first determine for the highest " the company's channel " and " Info channel " of the channel degree of correlation grade of search keyword " mobile phone ", then in " company's channel " and " Info channel ", select " company's channel " that normalization operation behavior number of times is maximum, " company's channel " is set to first channel searching after sequence, the order of other channel searching is constant, therefore the order after adjustment is " company's channel " → " product channel " → " Info channel " → " knack of doing business channel ".

Step 26, according to putting in order of each channel searching determined, is supplied to user by the information searched.

Such as, the search keyword of user's input is " mobile phone ", corresponding channel searching is " product channel ", " company's channel ", " Info channel " and " knack of doing business channel ", each channel searching put in order as " company's channel " → " product channel " → " Info channel " → " knack of doing business channel ", when then the information searched being represented to user, the information searched in " company's channel " comes foremost, then be the information searched in " product channel " successively, the information searched in " Info channel ", the information searched in " knack of doing business channel ".

In addition, when the information searched is supplied to user, except channel searching is sorted, also the information searched in each channel searching can be sorted, wherein, when can be, but not limited to according to information correlation value and issue, valid value sorts to information, concrete: valid value when extracting the information correlation value between search keyword that each information searched in channel searching and user input in first dependency log file and issue, then according to the order that information correlation value is descending, the each information searched in this channel searching is sorted, if the information correlation value of multiple information is equal, then again according to the order that valid value when issuing is descending, each information equal for information correlation value is sorted.

From above-mentioned processing procedure, in the embodiment of the present application technical scheme, first according to the search keyword of user's input, search each channel searching that described search keyword is corresponding, then for the channel searching found, in the information comprised at this channel searching respectively, search for the information that described search keyword is corresponding, obtain the channel relevance degree between this channel searching and described search keyword, again according to the channel relevance degree obtained, determine the channel degree of correlation grade of this channel searching for described search keyword, then according to each channel degree of correlation grade determined, determine putting in order of each channel searching, putting in order again according to each channel searching determined, the information searched is supplied to user, therefore, in the embodiment of the present application, when the information searched in multiple channel searching is supplied to user by website, first determine to put in order according to the channel degree of correlation grade of each channel searching for search keyword, then put in order carry out providing according to this, each channel searching putting in order in webpage is no longer random, so come in information corresponding to channel searching above the information that just may comprise required for user, therefore user is without the need to performing clicking operation repeatedly and browse operation, thus effectively save the more process resource in website, due to user can be very fast the information found from the information come above needed for oneself, therefore, it is possible to effectively improve search treatment effeciency.

Provide embodiment specifically below.

Embodiment two

The embodiment of the present application two specifically introduces the attributes correlation value between search keyword that each attribute of how comformed information and user input.

In the embodiment of the present application two, the attribute that information in same channel searching is corresponding identical, the attribute difference that information in different channel searching is corresponding, such as, the channel searching of certain e-commerce website comprises " product channel ", " company's channel ", " Info channel ", " knack of doing business channel ", " wanting to buy channel ", wherein, table 1 is each attribute of the information in " product channel ":

Table 1:

If the search keyword of user's input is " mobile phone ", then the defining method of the attributes correlation value between each attribute of the information searched in " product channel " and search keyword is as follows:

Information correlation value between this information and search keyword " mobile phone ": by the information correlation value between this information and search keyword " mobile phone " divided by the information correlation threshold value preset, the result obtained is the attributes correlation value of this attribute;

Valid value during issue for this information: during issue by this information, valid value is divided by the time span of current point in time distance particular point in time, and the result obtained is the attributes correlation value of this attribute;

For issuing, whether the user of this information online: pre-set the user released news online time corresponding attributes correlation value and the user that releases news online time corresponding attributes correlation value, whether determine the attributes correlation value of this attribute online according to the user issuing this information;

Title for this information: the title of this information is mated with the search keyword that user inputs, the result obtained comprises mates completely, semi-match and not mating, wherein, coupling refers to that the search keyword of title and user's input is completely the same completely, semi-match refers to that title is consistent with search the Keywords section that user inputs, do not mate and refer to that the search keyword of title and user's input is completely different, pre-set and mate corresponding attributes correlation value completely, the attributes correlation value that semi-match is corresponding and do not mate corresponding attributes correlation value, the attributes correlation value of this attribute is determined according to the title of this information and the matching result that the search keyword that user inputs carries out mating,

Brief introduction for this information: the brief introduction of this information is mated with the search keyword that user inputs, the result obtained comprise mate completely, semi-match and not mating, pre-set and mate attributes correlation value corresponding to corresponding attributes correlation value, semi-match completely and do not mate corresponding attributes correlation value, the matching result that the search keyword inputted according to brief introduction and the user of this information carries out mating determines the attributes correlation value of this attribute;

Whether the product corresponding for this information has price: corresponding attributes correlation value and attributes correlation value corresponding when not having price when being previously provided with price, and whether the product corresponding according to this information has price to determine the attributes correlation value of this attribute;

Sincere mark for the user of this information of issue: will issue the sincere mark of the user of this information divided by the sincere score threshold preset, the result obtained is the attributes correlation value of this attribute;

Massfraction for product corresponding to this information: by the massfraction of product corresponding for this information divided by the quality score thresholds preset, the result obtained is the attributes correlation value of this attribute;

The membership class of user in website for issuing this information: pre-set the attributes correlation value that each membership class is corresponding, determines the attributes correlation value of this attribute according to the membership class of user in website issuing this information;

Be corporate user or personal user for issuing the user of this information: pre-set attributes correlation value corresponding to corporate user and attributes correlation value corresponding to personal user, the user according to issuing this information is the attributes correlation value that corporate user or personal user determine this attribute;

Label for this information: the label of this information is mated with the search keyword that user inputs, the result obtained comprise mate completely, semi-match and not mating, pre-set and mate attributes correlation value corresponding to corresponding attributes correlation value, semi-match completely and do not mate corresponding attributes correlation value, the matching result that the search keyword inputted according to label and the user of this information carries out mating determines the attributes correlation value of this attribute.

Table 2 is each attribute of the information in " company's channel ":

Table 2:

Title for this information: the title of this information is mated with the search keyword that user inputs, the result obtained comprise mate completely, semi-match and not mating, pre-set and mate attributes correlation value corresponding to corresponding attributes correlation value, semi-match completely and do not mate corresponding attributes correlation value, the matching result that the search keyword inputted according to title and the user of this information carries out mating determines the attributes correlation value of this attribute;

Table 3 is each attribute of the information in " Info channel ":

Table 3:

If the search keyword of user's input is " mobile phone ", then the defining method of the attributes correlation value between each attribute of the information searched in " Info channel " and search keyword is as follows:

Whether the information corresponding for this information exists text: attributes correlation value corresponding when pre-setting attributes correlation value corresponding when there is text and there is not text, and whether the information corresponding according to this information exists the attributes correlation value that text determines this attribute;

Table 4 is each attribute of the information in " knack of doing business channel ":

Table 4:

If the search keyword of user's input is " mobile phone ", then the defining method of the attributes correlation value between each attribute of the information searched in " knack of doing business channel " and search keyword is as follows:

For whether there is the reply carried out for this information: pre-set corresponding attributes correlation value when to there is when replying corresponding attributes correlation value and there is not reply, according to whether there is the attributes correlation value that this attribute is determined in the reply carried out for this information;

Message level for this information: pre-set the attributes correlation value that each message level is corresponding, determines the attributes correlation value of this attribute according to the message level of this information;

Number of visits for this information: pre-set the attributes correlation value that each number of visits region is corresponding, first determine the number of visits region belonging to number of visits of this information, then determine the attributes correlation value of this attribute according to the number of visits region determined;

Label for this information: the label of this information is mated with the search keyword that user inputs, the result obtained comprise mate completely, semi-match and not mating, pre-set and mate attributes correlation value corresponding to corresponding attributes correlation value, semi-match completely and do not mate corresponding attributes correlation value, the matching result that the search keyword inputted according to label and the user of this information carries out mating determines the attributes correlation value of this attribute;

Subtitle for this information: the subtitle of this information is mated with the search keyword that user inputs, the result obtained comprise mate completely, semi-match and not mating, pre-set and mate attributes correlation value corresponding to corresponding attributes correlation value, semi-match completely and do not mate corresponding attributes correlation value, the matching result that the search keyword inputted according to subtitle and the user of this information carries out mating determines the attributes correlation value of this attribute.

Table 5 is each attribute of the information in " wanting to buy channel ":

Table 5:

If the search keyword of user's input is " mobile phone ", then the defining method of the attributes correlation value between each attribute of the information searched in " wanting to buy channel " and search keyword is as follows:

Embodiment three

Accordingly, the embodiment of the present application three also provides a kind of information provider unit, and its structure as shown in Figure 4, comprising:

Channel searches unit 41, for the search keyword inputted according to user, searches each channel searching that described search keyword is corresponding;

Information search unit 42, for searching the channel searching that unit 41 finds for channel, in the information comprised at this channel searching respectively, searches for the information that described search keyword is corresponding;

Channel relevance degree obtains unit 43, for searching the channel searching that unit 41 finds for channel, obtains the channel relevance degree between this channel searching and described search keyword respectively;

Channel degree of correlation level de-termination unit 44, for searching the channel searching that unit 41 finds for channel, obtain the channel relevance degree of unit 43 acquisition respectively according to channel relevance degree, determine the channel degree of correlation grade of this channel searching for described search keyword;

Put in order determining unit 45, for each channel degree of correlation grade determined according to channel degree of correlation level de-termination unit 44, determines putting in order of each channel searching;

Information provider unit 46, for putting in order of each channel searching of determining according to the determining unit 45 that puts in order, is supplied to user by the information that information search unit 42 searches.

Preferably, channel relevance degree acquisition unit 43 specifically comprises:

Information chooser unit, for searching the channel searching that unit 41 finds for channel, respectively in the information searched for this channel searching, selects and meets pre-conditioned information;

Attributes correlation value determination subelement, for each attribute of information gone out for information chooser Unit selection, determines the attributes correlation value between this attribute and described search keyword respectively;

Channel relevance degree determination subelement, for each attributes correlation value determined according to attributes correlation value determination subelement, determines the channel relevance degree between this channel searching and described search keyword.

More preferably, information chooser unit specifically comprises:

Information correlation value obtains module, for for the information searched in the information comprised at this channel searching, obtains the information correlation value between this information and described search keyword and valid value when issuing respectively;

Information choice module, is maximum information for selecting valid value when information correlation value obtains the information correlation value of module acquisition and issues;

Information determination module, for information information choice module selected, is defined as meeting pre-conditioned information.

More preferably, channel relevance degree determination subelement specifically for:

Each attributes correlation value that attributes correlation value determination subelement is determined and, be defined as the channel relevance degree between this channel searching and described search keyword.

Preferably, channel degree of correlation level de-termination unit 44 specifically comprises:

Subelement is determined in relevance degree region, for searching the channel searching that unit 41 finds for channel, determines the relevance degree region that each channel degree of correlation grade of this channel searching is corresponding respectively;

Relevance degree regional search subelement, for determining in each relevance degree region that subelement is determined in relevance degree region, searches the relevance degree region belonging to channel relevance degree that channel relevance degree obtains unit 43 acquisition;

Channel degree of correlation grade determination subelement, for the channel degree of correlation grade belonging to the relevance degree region that found by relevance degree regional search subelement, is defined as the channel degree of correlation grade of this channel searching for described search keyword.

Preferably, the determining unit that puts in order 45 specifically for:

By channel degree of correlation grade order from high to low, be defined as putting in order of each channel searching.

Preferably, the determining unit that puts in order specifically comprises:

Behavior number of times determination subelement, for determining that described search keyword searches the normalization operation behavior number of times of each channel searching that unit 41 finds for channel respectively;

Sequence subelement, for according to the descending order of normalization operation behavior number of times, searches each channel searching that unit 41 finds and sorts by channel;

Channel degree of correlation grade judgment sub-unit, for searching at channel in each channel searching that unit 41 finds, whether first channel searching after the subelement sequence that judges to sort is not less than the channel degree of correlation grade of other channel searching for described search keyword for the channel degree of correlation grade of described search keyword;

First order order determines subelement, for when the judged result of channel degree of correlation grade judgment sub-unit is for being, by the order after the sequence of sequence subelement, is defined as putting in order of each channel searching;

Order adjusts subelement, for when the judged result of channel degree of correlation grade judgment sub-unit is no, according to each channel degree of correlation grade that channel degree of correlation level de-termination unit 44 is determined, adjusts the order after the sequence of sequence subelement;

Second order order determines subelement, for by the order after the adjustment of order adjustment subelement, is defined as putting in order of each channel searching.

More preferably, order adjustment subelement specifically comprises:

Channel determination module, for searching at channel in each channel searching that unit 41 finds, determines for the highest channel searching of the channel degree of correlation grade of described search keyword;

Channel selection module, in the channel searching determined at channel determination module, selects the channel searching that normalization operation behavior number of times is maximum;

Order adjusting module, the channel searching for being gone out by channel selection model choice is set to first channel searching after sequence.

It will be understood by those skilled in the art that the embodiment of the application can be provided as method, device (equipment) or computer program.Therefore, the application can adopt the form of complete hardware embodiment, completely software implementation or the embodiment in conjunction with software and hardware aspect.And the application can adopt in one or more form wherein including the upper computer program implemented of computer-usable storage medium (including but not limited to magnetic disk memory, CD-ROM, optical memory etc.) of computer usable program code.

The application describes with reference to according to the process flow diagram of the method for the embodiment of the present application, device (equipment) and computer program and/or block scheme.Should understand can by the combination of the flow process in each flow process in computer program instructions realization flow figure and/or block scheme and/or square frame and process flow diagram and/or block scheme and/or square frame.These computer program instructions can being provided to the processor of multi-purpose computer, special purpose computer, Embedded Processor or other programmable data processing device to produce a machine, making the instruction performed by the processor of computing machine or other programmable data processing device produce device for realizing the function of specifying in process flow diagram flow process or multiple flow process and/or block scheme square frame or multiple square frame.

These computer program instructions also can be stored in can in the computer-readable memory that works in a specific way of vectoring computer or other programmable data processing device, the instruction making to be stored in this computer-readable memory produces the manufacture comprising command device, and this command device realizes the function of specifying in process flow diagram flow process or multiple flow process and/or block scheme square frame or multiple square frame.

These computer program instructions also can be loaded in computing machine or other programmable data processing device, make on computing machine or other programmable devices, to perform sequence of operations step to produce computer implemented process, thus the instruction performed on computing machine or other programmable devices is provided for the step realizing the function of specifying in process flow diagram flow process or multiple flow process and/or block scheme square frame or multiple square frame.

Although described the preferred embodiment of the application, those skilled in the art once obtain the basic creative concept of cicada, then can make other change and amendment to these embodiments.So claims are intended to be interpreted as comprising preferred embodiment and falling into all changes and the amendment of the application's scope.Obviously, those skilled in the art can carry out various change and modification to the application and not depart from the spirit and scope of the application.Like this, if these amendments of the application and modification belong within the scope of the application's claim and equivalent technologies thereof, then the application is also intended to comprise these change and modification.

Claims

1. an information providing method, is characterized in that, comprising:

According to the search keyword of user's input, search each channel searching that described search keyword is corresponding;

For the channel searching found, perform respectively:

In the information that this channel searching comprises, search for the information that described search keyword is corresponding;

Obtain the channel relevance degree between this channel searching and described search keyword;

According to the channel relevance degree obtained, determine the channel degree of correlation grade of this channel searching for described search keyword;

According to each channel degree of correlation grade determined, determine putting in order of each channel searching;

According to putting in order of each channel searching determined, the information searched is supplied to user;

Obtain the channel relevance degree between this channel searching and described search keyword, specifically comprise:

In the information searched for this channel searching, select and meet pre-conditioned information;

For each attribute of the information selected, determine the attributes correlation value between this attribute and described search keyword respectively;

According to each attributes correlation value determined, determine the channel relevance degree between this channel searching and described search keyword.

2. the method for claim 1, is characterized in that, in the information searched for this channel searching, selects and meets pre-conditioned information, specifically comprise:

For the information searched in the information comprised at this channel searching, valid value when obtaining the information correlation value between this information and described search keyword respectively and issue;

When selecting the information correlation value of acquisition and issue, valid value is maximum information;

By the information selected, be defined as meeting pre-conditioned information.

3. the method for claim 1, is characterized in that, according to each attributes correlation value determined, determines the channel relevance degree between this channel searching and described search keyword, specifically comprises:

By each attributes correlation value of determining and, be defined as the channel relevance degree between this channel searching and described search keyword.

4. the method for claim 1, is characterized in that, according to the channel relevance degree obtained, determines the channel degree of correlation grade of this channel searching for described search keyword, specifically comprises:

Determine the relevance degree region that each channel degree of correlation grade of this channel searching is corresponding;

In each relevance degree region determined, search the relevance degree region belonging to channel relevance degree of acquisition;

By the channel degree of correlation grade belonging to the relevance degree region that finds, be defined as the channel degree of correlation grade of this channel searching for described search keyword.

5. the method for claim 1, is characterized in that, according to each channel degree of correlation grade determined, determines putting in order of each channel searching, specifically comprises:

6. the method for claim 1, is characterized in that, according to each channel degree of correlation grade determined, determines putting in order of each channel searching, specifically comprises:

Determine the normalization operation behavior number of times of described search keyword for each channel searching found respectively;

According to the order that normalization operation behavior number of times is descending, each channel searching found is sorted;

In each channel searching found, judge whether first channel searching after sorting is not less than the channel degree of correlation grade of other channel searching for described search keyword for the channel degree of correlation grade of described search keyword;

If the determination result is YES, then by the order after sequence, putting in order of each channel searching is defined as;

If judged result is no, then according to each channel degree of correlation grade determined, the order after sequence is adjusted;

By the order after adjustment, be defined as putting in order of each channel searching.

7. method as claimed in claim 6, is characterized in that, according to the channel degree of correlation grade determined, adjusts, specifically comprise the order after sequence:

In each channel searching found, determine for the highest channel searching of the channel degree of correlation grade of described search keyword;

In the channel searching determined, select the channel searching that normalization operation behavior number of times is maximum;

The channel searching selected is set to first channel searching after sequence.

8. an information provider unit, is characterized in that, comprising:

Channel searches unit, for the search keyword inputted according to user, searches each channel searching that described search keyword is corresponding;

Information search unit, for searching the channel searching that unit finds for channel, in the information comprised at this channel searching respectively, searches for the information that described search keyword is corresponding;

Channel relevance degree obtains unit, for searching the channel searching that unit finds for channel, obtains the channel relevance degree between this channel searching and described search keyword respectively;

Channel degree of correlation level de-termination unit, for searching the channel searching that unit finds for channel, obtains the channel relevance degree of unit acquisition respectively, determines the channel degree of correlation grade of this channel searching for described search keyword according to channel relevance degree;

Put in order determining unit, for each channel degree of correlation grade determined according to channel degree of correlation level de-termination unit, determines putting in order of each channel searching;

Information provider unit, for putting in order of each channel searching of determining according to the determining unit that puts in order, information information search unit searched is supplied to user;

Channel relevance degree obtains unit and specifically comprises:

Information chooser unit, for searching the channel searching that unit finds for channel, respectively in the information searched for this channel searching, selects and meets pre-conditioned information;

9. device as claimed in claim 8, it is characterized in that, information chooser unit specifically comprises:

10. device as claimed in claim 8, is characterized in that, channel relevance degree determination subelement specifically for:

11. devices as claimed in claim 8, it is characterized in that, channel degree of correlation level de-termination unit specifically comprises:

Subelement is determined in relevance degree region, for searching the channel searching that unit finds for channel, determines the relevance degree region that each channel degree of correlation grade of this channel searching is corresponding respectively;

Relevance degree regional search subelement, for determining in each relevance degree region that subelement is determined in relevance degree region, searches the relevance degree region belonging to channel relevance degree that channel relevance degree obtains unit acquisition;

12. devices as claimed in claim 8, is characterized in that, the determining unit that puts in order specifically for:

13. devices as claimed in claim 8, it is characterized in that, the determining unit that puts in order specifically comprises:

Behavior number of times determination subelement, for determining that described search keyword searches the normalization operation behavior number of times of each channel searching that unit finds for channel respectively;

Sequence subelement, for according to the descending order of normalization operation behavior number of times, searches each channel searching that unit finds and sorts by channel;

Channel degree of correlation grade judgment sub-unit, for searching at channel in each channel searching that unit finds, whether first channel searching after the subelement sequence that judges to sort is not less than the channel degree of correlation grade of other channel searching for described search keyword for the channel degree of correlation grade of described search keyword;

Order adjusts subelement, for when the judged result of channel degree of correlation grade judgment sub-unit is no, according to each channel degree of correlation grade that channel degree of correlation level de-termination unit is determined, adjusts the order after the sequence of sequence subelement;

14. devices as claimed in claim 13, is characterized in that, order adjustment subelement specifically comprises:

Channel determination module, for searching at channel in each channel searching that unit finds, determines for the highest channel searching of the channel degree of correlation grade of described search keyword;