CN102890683A

CN102890683A - Method and device for providing information

Info

Publication number: CN102890683A
Application number: CN2011102052897A
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: 2013-01-23
Anticipated expiration: 2031-07-21
Also published as: HK1176707A1; CN102890683B

Abstract

The invention discloses a method and a device for providing information. The method comprises the steps of: based on a search keyword input by a user, seeking each search channel corresponding to the search keyword; according to the sought search channel, respectively executing the following processes: searching the information corresponding to the search keyword in the information contained in the search channel; obtaining a channel relevancy value between the search channel and the search keyword; according to the obtained channel relevancy value, determining the channel relevancy grades of the search channel directing at the search keyword; determining a sort order of each search channel according to each determined channel relevancy grade; and providing the searched information for users according to the determined sort order of each search channel. By the technical scheme provided by the invention, the problems of consuming a large quantity of processing resources of websites and lowering the search processing efficiency in the prior art are solved.

Description

Information providing method and device

Technical field

The application relates to technical field of information processing, relates in particular 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 of propagating.In order to make the user can in the internet information of magnanimity, obtain needed information, most of websites all provide function of search, when the user need to search for certain information, can be in the website inputted search keyword, the information relevant with this searching key word is searched in this website, then offers the user.

Existing search technique comprises two kinds of comprehensive search technology and vertical search technology.Wherein, website based on the comprehensive search technology for the user provides the method for information is: the searching key word that at first receives user's input, then in all information of storage, search the information relevant with this searching key word, and then the information that finds is offered the user; Website based on the vertical search technology for the user provides the method for information is: the website is in advance according to the type of information, all information of storage are divided into each vertical channel searching, each channel searching comprises one type information, when the user need to search for certain information, at first in all channel searchings, select a channel searching, then inputted search keyword in the channel searching of selecting, the information corresponding with this searching key word is searched in the website in all information that this channel searching comprises, then offer the user.

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

A website may comprise a lot of channel searchings, and the user can only search in a channel searching at every turn, therefore when the user can not determine the affiliated type of the information that needs search, can only in all channel searchings, select first a channel searching, if in this channel searching, do not search needed information, then need to select again other a channel searching to search for, until search needed information.That is to say, when providing information based on the website of vertical search technology for the user, the user possibly can't search needed information in a channel searching, needing the user to input continuously identical searching key word in different channel searchings searches for, this is just so that the accuracy of user search is lower, waste the more search in website and processed resource, reduced the search treatment effeciency.

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

Step 11, the website is in advance according to the type of information, all information of storage are divided into each vertical channel searching, each channel searching comprises one type information, when the user need to search for certain information, at first in all channel searchings, select a channel searching, inputted search keyword in the channel searching of selecting then, the website obtains the searching key word of user's input;

Step 12, website in the corresponding relation between searching key word and channel searching, are searched channel searching corresponding to this searching key word according to this searching key word;

Step 13 in the information that each channel searching that finds comprises, is searched for information corresponding to this searching key word respectively;

Step 14 offers the user with the information that searches.

Therefore, when the user inputs certain searching key word, the website can be searched for respectively in each channel searching corresponding to this searching key word, search for and no longer need the user in different channel searchings, to input continuously identical searching key word, thereby effectively improved the accuracy of user search information, save the more search in website and processed resource, improved the search treatment effeciency.

But, in technique scheme, when the website offers the user with the information that searches, each channel searching putting in order in webpage generally is random, for example, the channel searching that searching key word " mobile phone " is corresponding is " product channel ", " company's channel " and " Info channel ", when the website offers the user with the information that searches, may the information that " product channel " is corresponding come the foremost, also may the information that " company's channel " is corresponding come the foremost, also may the information that " Info channel " is corresponding come the foremost.Because when the user searches needed information in the information that searches, need to click successively the link of each information, then determine whether again it is own needed information after the browsing information content, and the website is when offering the user with the information that searches, putting in order of each channel searching is random, come so in information corresponding to the channel searching of front and may not comprise the needed information of user, therefore the user just needs execution clicking operation and browse operation repeatedly just can find own needed information, for example, putting in order of each channel searching is " product channel " → " company's channel " → " Info channel ", that is to say, the information that searches in " product channel " comes the foremost, then be the information that in " company's channel ", searches, the information that searches in " Info channel " comes backmost, but the required information of user is the information that searches in " Info channel ", therefore the user clicks and browse operation for each information that searches in " product channel " first successively with regard to needing, and then click and browse operation for each information that in " company's channel ", searches successively, just can in each information corresponding to " Info channel ", find own needed information at last.Therefore, clicking operation and browse operation that the user need to carry out repeatedly just can find own needed information, and for user's each clicking operation and browse operation, the website all needs to respond accordingly processing, thereby expended the more processing resource in website, reduced the efficient that search is processed.

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 the prior art expended the more processing resource in website, reduced the problem of search treatment effeciency.

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 searching key word of user's input, search each channel searching corresponding to described searching key word; For the channel searching that finds, carry out respectively: in the information that this channel searching comprises, search for information corresponding to described searching key word; Obtain the channel relevance degree between this channel searching and the described searching key word; According to the channel relevance degree that obtains, determine that this channel searching is for the channel degree of correlation grade of described searching key word; According to each channel degree of correlation grade of determining, determine putting in order of each channel searching; According to putting in order of each channel searching of determining, the information that searches is offered the user.

A kind of information provider unit comprises: channel is searched the unit, is used for the searching key word according to user's input, searches each channel searching corresponding to described searching key word; Information search unit is used for searching the channel searching that the unit finds for channel, in the information that this channel searching comprises, searches for information corresponding to described searching key word respectively; The channel relevance degree obtains the unit, is used for searching the channel searching that the unit finds for channel, obtains respectively the channel relevance degree between this channel searching and the described searching key word; Channel degree of correlation classification unit is used for searching the channel searching that the unit finds for channel, obtains the channel relevance degree that the unit obtains according to the channel relevance degree respectively, determines that this channel searching is for the channel degree of correlation grade of described searching key word; The determining unit that puts in order is used for each channel degree of correlation grade of determining according to channel degree of correlation classification unit, determines putting in order of each channel searching; Information provides the unit, and for putting in order of each channel searching of determining according to the determining unit that puts in order, the information that information search unit is searched offers the user.

In the embodiment of the present application technical scheme, the searching key word of at first inputting according to the user, search each channel searching corresponding to described searching key word, then for the channel searching that finds, respectively in the information that this channel searching comprises, search for information corresponding to described searching key word, obtain the channel relevance degree between this channel searching and the described searching key word, again according to the channel relevance degree that obtains, determine that this channel searching is for the channel degree of correlation grade of described searching key word, then according to each channel degree of correlation grade of determining, determine putting in order of each channel searching, putting in order according to each channel searching of determining again, the information that searches is offered the user, therefore, in the embodiment of the present application, when the information that the website will search in a plurality of channel searchings offers the user, to determine to put in order for the channel degree of correlation grade of searching key word according to each channel searching first, then putting in order according to this provides, each channel searching putting in order in webpage no longer is random, come so in information corresponding to the channel searching of front and just may comprise the needed information of user, therefore the user need not to carry out repeatedly clicking operation and browse operation, thereby effectively saved the more processing resource in website, since the user can be very fast from the information that comes the front, find own required information, therefore can effectively improve the search treatment effeciency.

Description of drawings

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

Fig. 2 is in the embodiment of the present application one, the 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 searching key word and the channel searching;

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

Embodiment

At length set forth to the main realization principle of the embodiment of the present application technical scheme, embodiment and to the beneficial effect that should be able to reach below in conjunction with each accompanying drawing.

Embodiment one

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

Step 21 according to the searching key word of user's input, is searched each channel searching corresponding to described searching key word;

The website is in advance according to the type of information, all information of storage are divided into each vertical channel searching, each channel searching comprises one type information, when the user need to search for certain information, at first in all channel searchings, select a channel searching, then by web browser inputted search keyword in this channel searching, standardization processing is carried out with the searching key word of user's input first in the website, for example removes unnecessary word, remove unnecessary 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 of digital format etc.

The website is set up down the corresponding relation between searching key word and the channel searching in advance online, then obtain on line after the searching key word of user's input, the searching key word of inputting according to the user again, in the corresponding relation between searching key word and channel searching, search each channel searching corresponding to searching key word of user's input.

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

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

In the prior art, when the user searches for information in the website, at first select a channel searching, then by web browser inputted search keyword in this channel searching, the website is according to the searching key word of input, information corresponding to this searching key word of search in the information that this channel searching comprises, then the information that searches is offered the user with the form of search result list, comprise the link of each information that the searching key word according to user input searches in this channel searching in this search result list, the user can fetch the browsing information content by the chain of clicking in the search result list.The embodiment of the present application one proposes, if the user has inputted searching key word search in certain channel searching, then web browser is recorded in this user's this time search behavior in the log recording, specifically this user's search behavior sign, the searching key word of input and the corresponding relation between this channel searching is recorded in the log recording; If the user has clicked a link in the search result list, then web browser with this user this time click behavior record in log recording, specifically this user's click behavior sign, the searching key word of input and the corresponding relation between this channel searching are recorded in the log recording.Wherein click behavior and search behavior and all belong to operation behavior, so click behavior sign and search behavior sign is the operation behavior sign.

Step 32 extracts each searching key word in the log recording, for each searching key word, determines that this searching key word is for the number of times of the search behavior of each channel searching generation and the number of times of the behavior of click;

Step 33 for each searching key word, according to the number of times of the search behavior of determining and the number of times of the behavior of click, determines that respectively this searching key word is for the normalization operation behavior number of times of each channel searching;

When definite normalization operation behavior number of times, the one click behavior can be regarded as N search behavior (for example N=2), if searching key word " 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, and then searching key word " mobile phone " for the normalization operation behavior number of times of " product channel " is: (3+2N) inferior.

Step 34 with the normalization operation behavior number of times the determined channel searching greater than default operation behavior frequency threshold value, is defined as channel searching corresponding to this searching key word, thereby determines the corresponding relation between each searching key word and the channel searching.

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

Further, can also with each searching key word for the normalization operation behavior number of times corresponding record of each channel searching in above-mentioned corresponding relation, thereby determine corresponding relation between each searching key word, channel searching and the normalization operation behavior number of times.

Step 22 for the channel searching that finds, in the information that this channel searching comprises, is searched for information corresponding to described searching key word respectively;

Be " product channel " and " knack of doing business channel " if find channel searching corresponding to searching key word " mobile phone ", then respectively in the information that " product channel " and " knack of doing business channel " comprises, search for the information relevant with searching key word " mobile phone ".

Step 23 for the channel searching that finds, obtains respectively the channel relevance degree between this channel searching and the described searching key word;

Corresponding at least one attribute of each information of web site stores, in each attribute of information, comprise static attribute and dynamic attribute, static attribute do not need to refer to the attribute that dynamically updates, the issue timeliness value of information for example, the title of information, the membership class of the user who releases news in the website, the user who releases news is that the attributes such as corporate user or personal user are the static attribute of information, wherein, the issue timeliness value of information refers to that the user issues the Time interval of this information from the time span between the particular point in time, this particular point in time sets in advance, and the issue timeliness value of each information is determined in the website according to this particular point in time that sets in advance.The user is after the website releases news, the attribute information of each static attribute of this information can be determined in the website, the attribute information of each static attribute that then will determine is stored in the attribute record file, store the corresponding relation between the attribute information of the sign of information and each attribute in the attribute record file, the sign of information can but to be not limited to the link of information or website be the unique index given of information number;

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

Site search arrives after the information corresponding with the searching key word of user's input, for each channel searching that finds, respectively in the information that searches for this channel searching, select and satisfy pre-conditioned information, then for each attribute of the information of selecting, determine respectively the attributes correlation value between the searching key word that this attribute and user input, again according to each attributes correlation value of determining, determine the channel relevance degree between the searching key word that this channel searching and user input.

Wherein, in the information that searches for this channel searching, select when satisfying pre-conditioned information, can but be not limited to select according to information correlation value and issue timeliness value, concrete:

For each information that searches in the information that comprises at this channel searching, distinguish first information correlation value and issue timeliness value between the searching key word that obtains this information and user's input in the dependency log file, then information correlation value and the issue timeliness value of selecting acquisition are maximum information, with the information of selecting, be defined as satisfying pre-conditioned information.

In specific implementation process, can be for each information that searches in the information that comprises at this channel searching, distinguish first information correlation value and issue timeliness value between the searching key word that obtains this information and user's input in the dependency log file, then according to the descending order of information correlation value, each information that will search in this channel searching sorts, if the information correlation value of a plurality of information equates, then again according to the descending order of issue timeliness value, each information that the information correlation value is equated sorts, first information after the ordering is the information that information correlation value and issue timeliness value are maximum so.For example, the searching key word of user's input is " mobile phone ", corresponding channel searching is " product channel ", " company's channel ", " Info channel " and " knack of doing business channel ", the information that searches in the information that " product channel " comprises is 5, be respectively information A 1, information A 2, information A 3, information A 4 and information A 5, extract the issue timeliness value of above-mentioned 5 information in the website elder generation dependency log file, and the information correlation value between above-mentioned 5 information and the searching key word " mobile phone ", wherein, the issue timeliness value of above-mentioned 5 information is respectively TA1, TA2, TA3, TA4, TA5, information correlation value between above-mentioned 5 information and the searching key word " mobile phone " is respectively WA1, WA2, WA3, WA4, WA5, the size of the information correlation value between more above-mentioned 5 information and the searching key word " mobile phone ", obtain WA1=WA2=WA3＞WA4＞WA5, that is to say, information A 1, information A 2, information A 3 equates with information correlation value between the searching key word " mobile phone ", comparison information A1 is continued in the website so, information A 2, the issue timeliness value of information A 3, obtain TA3＞TA1＞TA2, so the order behind above-mentioned 5 information sortings is: information A 3 → information A 1 → information A 2 → information A 4 → information A 5, information A 3 is for satisfying pre-conditioned information.

Each attribute for the information of selecting, determine respectively between the searching key word of this attribute and user input after the attributes correlation value, can but be not limited to each the attributes correlation value that will determine and, be defined as the channel relevance degree between the searching key word that this channel searching and user input.For example, each attribute of information A 3 comprises attribute a1, attribute a2 and attribute a3, attributes correlation value between attribute a1 and the searching key word " mobile phone " is Sa1, attributes correlation value between attribute a2 and the searching key word " mobile phone " is Sa2, attributes correlation value between attribute a3 and the searching key word " mobile phone " is Sa3, and the channel relevance degree between " product channel " and the searching key word " mobile phone " is PA=Sa1+Sa2+Sa3 so.

Step 24 for the channel searching that finds, according to the channel relevance degree that obtains, determines that this channel searching is for the channel degree of correlation grade of described searching key word respectively;

When determining this channel searching for the channel degree of correlation grade of the searching key word of user input, can determine respectively first the relevance degree zone corresponding to each channel degree of correlation grade of this channel searching, then in each relevance degree zone of determining, search the relevance degree zone under the channel relevance degree between the searching key word of this channel searching and user input, with the channel degree of correlation grade under the relevance degree zone that finds, be defined as this channel searching for the channel degree of correlation grade of the searching key word of user's input again.

The embodiment of the present application one proposes, the size of the numerical value of the height of channel degree of correlation grade and channel degree of correlation grade, can be proportional, be that higher grade of the channel degree of correlation, then the numerical value of channel degree of correlation grade is larger, for example 1 grade of channel degree of correlation grade is higher than 0 grade of channel degree of correlation grade, the size of the numerical value of the height of channel degree of correlation grade and channel degree of correlation grade, relation also can be inversely proportional to, be that higher grade of the channel degree of correlation, then the numerical value of channel degree of correlation grade is less, and for example 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 zone of same channel degree of correlation grade in different channel searchings also may be different, for example, if the size relation of being inversely proportional to of the numerical value of the height of channel degree of correlation grade and channel degree of correlation grade, " product channel " corresponding 8 channel degree of correlation grades, be respectively 0 grade to 7 grades, wherein the relevance degree of 0 grade of correspondence zone is [9.9, + ∞), be the channel relevance degree 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 the relevance degree of 0 grade of correspondence zone be [7.9 ,+∞), namely the 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 the relevance degree of 0 grade of correspondence zone be [4.25 ,+∞), namely the 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 the relevance degree of 0 grade of correspondence zone be [7.4 ,+∞), namely the 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 the channel degree of correlation grades of " wanting to buy channel " are respectively 0 grade to 7 grades, wherein the relevance degree of 0 grade of correspondence zone be [8.4 ,+∞), namely the 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 of determining, is determined putting in order of each channel searching;

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

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

Determine respectively that first the searching key word of user's input is for the normalization operation behavior number of times of each channel searching that finds, then according to the descending order of normalization operation behavior number of times, each channel searching that finds is sorted, in each channel searching that finds, whether first channel searching after the judgement ordering is not less than other channel searching for the channel degree of correlation grade of the searching key word of user's input for the channel degree of correlation grade of the searching key word of user's input, if judged result is yes, order after then will sorting, be defined as putting in order of each channel searching, if the determination result is NO, then according to each channel degree of correlation grade of determining, order after the ordering is adjusted, and the order after will adjusting, be defined as putting in order of each channel searching.

Wherein, according to the channel degree of correlation grade of determining, to the detailed process adjusted of order after the ordering can but be not limited to following:

In each channel searching that finds, determine the highest grade of the channel degree of correlation the channel searching for the searching key word of user's input, then in the channel searching of determining, select the channel searching of normalization operation behavior number of times maximum, the channel searching of selecting is set to first channel searching after the ordering, and the order of other channel searching is constant.

For example, the channel searching that searching key word " mobile phone " is corresponding is " product channel ", " company's channel ", " Info channel " and " knack of doing business channel ", and searching key word " mobile phone " is 10 for the normalization operation behavior number of times of " product channel ", 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 " is 1 grade for the channel degree of correlation grade of searching key word " mobile phone ", " company's channel " is 0 grade for the channel degree of correlation grade of searching key word " mobile phone ", " Info channel " is 0 grade for the channel degree of correlation grade of searching key word " mobile phone ", " knack of doing business channel " is 6 grades for the channel degree of correlation grade of searching key word " mobile phone ", if the size relation of being inversely proportional to of the numerical value of the height of channel degree of correlation grade and channel degree of correlation grade, first channel searching " product channel " after sorting according to normalization operation behavior number of times so is lower than " company's channel " and " Info channel " for the channel degree of correlation grade of searching key word " mobile phone " for the channel degree of correlation grade of searching key word " mobile phone ", therefore at " product channel ", " company's channel ", in " Info channel " and " knack of doing business channel ", determine first for the channel degree of correlation grade of searching key word " mobile phone " the highest " company's channel " and " Info channel ", then in " company's channel " and " Info channel ", select " company's channel " of normalization operation behavior number of times maximum, " company's channel " is set to first channel searching after the ordering, the order of other channel searching is constant, and the order after therefore adjusting is " company's channel " → " product channel " → " Info channel " → " knack of doing business channel ".

Step 26 according to putting in order of each channel searching of determining, offers the user with the information that searches.

For example, the searching key word of user's input is " mobile phone ", corresponding channel searching is " product channel ", " company's channel ", " Info channel " and " knack of doing business channel ", putting in order of each channel searching is " company's channel " → " product channel " → " Info channel " → " knack of doing business channel ", when then the information that searches being represented to the user, the information that searches in " company's channel " comes the foremost, then is the information that searches in " product channel " successively, the information that in " Info channel ", searches, the information that in " knack of doing business channel ", searches.

In addition, when the information that will search offers the user, except channel searching is sorted, also the information that searches in each channel searching can be sorted, wherein, can but be not limited to according to information correlation value and issue timeliness value information be sorted, concrete: as to extract the information correlation value between the searching key word of each information of in channel searching, searching and user's input in the first dependency log file and issue the timeliness value, then according to the descending order of information correlation value, each information that will search in this channel searching sorts, if the information correlation value of a plurality of information equates, then again according to the descending order of issue timeliness value, each information that the information correlation value is equated sorts.

By above-mentioned processing procedure as can be known, in the embodiment of the present application technical scheme, the searching key word of at first inputting according to the user, search each channel searching corresponding to described searching key word, then for the channel searching that finds, respectively in the information that this channel searching comprises, search for information corresponding to described searching key word, obtain the channel relevance degree between this channel searching and the described searching key word, again according to the channel relevance degree that obtains, determine that this channel searching is for the channel degree of correlation grade of described searching key word, then according to each channel degree of correlation grade of determining, determine putting in order of each channel searching, putting in order according to each channel searching of determining again, the information that searches is offered the user, therefore, in the embodiment of the present application, when the information that the website will search in a plurality of channel searchings offers the user, to determine to put in order for the channel degree of correlation grade of searching key word according to each channel searching first, then putting in order according to this provides, each channel searching putting in order in webpage no longer is random, come so in information corresponding to the channel searching of front and just may comprise the needed information of user, therefore the user need not to carry out repeatedly clicking operation and browse operation, thereby effectively saved the more processing resource in website, since the user can be very fast from the information that comes the front, find own required information, therefore can effectively improve the search treatment effeciency.

The below provides more detailed embodiment.

Embodiment two

The embodiment of the present application two is specifically introduced the attributes correlation value between the searching key word of each attribute of how to confirm information and user's input.

In the embodiment of the present application two, the attribute that information in the same channel searching is corresponding identical, the attribute difference that information in the different channel searchings is corresponding, for example, 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 searching key word of user's input is " mobile phone ", each attribute of the information that then searches in " product channel " and definite method of the attributes correlation value between the searching key word are as follows:

For the information correlation value between this information and the searching key word " mobile phone ": divided by default information correlation threshold value, the result who obtains is the attributes correlation value of this attribute with the information correlation value between this information and the searching key word " mobile phone ";

Issue timeliness value for this information: divided by the time span of current point in time apart from particular point in time, the result who obtains is the attributes correlation value of this attribute with the issue timeliness value of this information;

Whether the user for this information of issue is online: set in advance the user who releases news corresponding attributes correlation value when corresponding attributes correlation value and the user that releases news are online when online, whether come online to determine the attributes correlation value of this attribute according to the user of this information of issue;

Title for this information: the title of this information and the searching key word of user's input are mated, the result who obtains comprises fully coupling, part is mated and is not mated, wherein, coupling refers to that the searching key word of title and user's input is in full accord fully, the part coupling refers to that the searching key word part of title and user's input is consistent, do not mate and refer to that title is fully different with the searching key word of user's input, set in advance fully attributes correlation value corresponding to coupling, the attributes correlation value that part coupling is corresponding and do not mate corresponding attributes correlation value, the matching result that the searching key word of inputting according to title and the user of this information mates is determined the attributes correlation value of this attribute;

Brief introduction for this information: the brief introduction of this information and the searching key word of user's input are mated, the result who obtains comprises that coupling, part are mated and do not mated fully, set in advance fully attributes correlation value corresponding to attributes correlation value corresponding to coupling, part coupling and do not mate corresponding attributes correlation value, the matching result that the searching key word of inputting according to brief introduction and the user of this information mates is determined the attributes correlation value of this attribute;

Whether the product corresponding for this information has price: whether corresponding attributes correlation value and corresponding attributes correlation value when not having price when setting in advance price have price to determine the attributes correlation value of this attribute according to product corresponding to this information;

User's sincere mark for this information of issue: will issue user's the sincere mark of this information divided by the sincere score threshold of presetting, the result who obtains is the attributes correlation value of this attribute;

Massfraction for product corresponding to this information: the massfraction of the product that this information is corresponding is divided by default massfraction threshold value, and the result who obtains is the attributes correlation value of this attribute;

The membership class of user in the website for this information of issue: set in advance attributes correlation value corresponding to each membership class, determine the attributes correlation value of this attribute according to the membership class of user in the website of this information of issue;

For the issue this information the user be corporate user or personal user: set in advance attributes correlation value corresponding to corporate user and attributes correlation value corresponding to personal user, according to the issue this information the user be the attributes correlation value that corporate user or personal user determine this attribute;

Label for this information: the label of this information and the searching key word of user's input are mated, the result who obtains comprises that coupling, part are mated and do not mated fully, set in advance fully attributes correlation value corresponding to attributes correlation value corresponding to coupling, part coupling and do not mate corresponding attributes correlation value, the matching result that the searching key word of inputting according to label and the user of this information mates is determined 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 and the searching key word of user's input are mated, the result who obtains comprises that coupling, part are mated and do not mated fully, set in advance fully attributes correlation value corresponding to attributes correlation value corresponding to coupling, part coupling and do not mate corresponding attributes correlation value, the matching result that the searching key word of inputting according to title and the user of this information mates is determined the attributes correlation value of this attribute;

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

Table 3:

If the searching key word of user's input is " mobile phone ", each attribute of the information that then searches in " Info channel " and definite method of the attributes correlation value between the searching key word are as follows:

Whether the information corresponding for this information exists text: whether corresponding attributes correlation value when setting in advance attributes correlation value corresponding when having text and not having text exists text to determine the attributes correlation value of this attribute according to information corresponding to this information;

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

Table 4:

If the searching key word of user's input is " mobile phone ", each attribute of the information that then searches in " knack of doing business channel " and definite method of the attributes correlation value between the searching key word are as follows:

For whether having the answer of carrying out for this information: set in advance attributes correlation value corresponding when having attributes correlation value corresponding when replying and not having answer, according to whether existing the answer of carrying out for this information to determine the attributes correlation value of this attribute;

Message level for this information: set in advance attributes correlation value corresponding to each message level, determine the attributes correlation value of this attribute according to the message level of this information;

Number of visits for this information: set in advance each attributes correlation value corresponding to number of visits zone, determine first the affiliated number of visits zone of number of visits of this information, then determine the attributes correlation value of this attribute according to the number of visits zone of determining;

Label for this information: the label of this information and the searching key word of user's input are mated, the result who obtains comprises that coupling, part are mated and do not mated fully, set in advance fully attributes correlation value corresponding to attributes correlation value corresponding to coupling, part coupling and do not mate corresponding attributes correlation value, the matching result that the searching key word of inputting according to label and the user of this information mates is determined the attributes correlation value of this attribute;

Subtitle for this information: the subtitle of this information and the searching key word of user's input are mated, the result who obtains comprises that coupling, part are mated and do not mated fully, set in advance fully attributes correlation value corresponding to attributes correlation value corresponding to coupling, part coupling and do not mate corresponding attributes correlation value, the matching result that the searching key word of inputting according to subtitle and the user of this information mates is determined the attributes correlation value of this attribute.

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

Table 5:

If the searching key word of user's input is " mobile phone ", each attribute of the information that then searches in " wanting to buy channel " and definite method of the attributes correlation value between the searching key word are as follows:

Embodiment three

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

Channel is searched unit 41, is used for the searching key word according to user's input, searches each channel searching corresponding to described searching key word;

Information search unit 42 is used for searching the channel searching that unit 41 finds for channel, in the information that this channel searching comprises, searches for information corresponding to described searching key word respectively;

The channel relevance degree obtains unit 43, is used for searching the channel searching that unit 41 finds for channel, obtains respectively the channel relevance degree between this channel searching and the described searching key word;

Channel degree of correlation classification unit 44, be used for searching the channel searching that unit 41 finds for channel, obtain the channel relevance degree that unit 43 obtains according to the channel relevance degree respectively, determine that this channel searching is for the channel degree of correlation grade of described searching key word;

The determining unit 45 that puts in order is used for each channel degree of correlation grade of determining according to channel degree of correlation classification unit 44, determines putting in order of each channel searching;

Information provides unit 46, and for putting in order of each channel searching of determining according to the determining unit 45 that puts in order, the information that information search unit 42 is searched offers the user.

Preferably, channel relevance degree acquisition unit 43 specifically comprises:

The Information Selection subelement is used for searching the channel searching that unit 41 finds for channel, in the information that searches for this channel searching, selects and satisfies pre-conditioned information respectively;

The attributes correlation value is determined subelement, for each attribute of the information of selecting for the Information Selection subelement, determines respectively the attributes correlation value between this attribute and the described searching key word;

The channel relevance degree is determined subelement, is used for determining each attributes correlation value that subelement is determined according to the attributes correlation value, determines the channel relevance degree between this channel searching and the described searching key word.

More preferably, the Information Selection subelement specifically comprises:

The information correlation value obtains module, for the information that searches for the information that comprises at this channel searching, obtains respectively information correlation value and issue timeliness value between this information and the described searching key word;

The Information Selection module is used for selecting the information correlation value and obtains the information correlation value of module acquisition and issue the timeliness value to be maximum information;

The information determination module, the information for the Information Selection module is selected is defined as satisfying pre-conditioned information.

More preferably, the channel relevance degree determines that subelement specifically is used for:

With the attributes correlation value determine each attributes correlation value that subelement is determined and, be defined as the channel relevance degree between this channel searching and the described searching key word.

Preferably, channel degree of correlation classification unit 44 specifically comprises:

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

Relevance degree regional search subelement for determining each relevance degree zone that subelement is determined in the relevance degree zone, is searched the channel relevance degree and is obtained the affiliated relevance degree zone of channel relevance degree that unit 43 obtains;

Channel degree of correlation classification subelement, the channel degree of correlation grade under the relevance degree zone that is used for relevance degree regional search subelement is found is defined as this channel searching for the channel degree of correlation grade of described searching key word.

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

With 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:

The behavior number of times is determined subelement, is used for determining respectively that described searching key word searches the normalization operation behavior number of times of each channel searching that unit 41 finds for channel;

The ordering subelement is used for according to the descending order of normalization operation behavior number of times, channel is searched each channel searching that unit 41 finds sort;

Channel degree of correlation grade judgment sub-unit, be used for searching each channel searching that unit 41 finds at channel, whether first channel searching after the ordering of judgement ordering subelement is not less than other channel searching for the channel degree of correlation grade of described searching key word for the channel degree of correlation grade of described searching key word;

First order is sequentially determined subelement, is used in the judged result of channel degree of correlation grade judgment sub-unit when being, the order after the ordering subelement is sorted is defined as putting in order of each channel searching;

Order is adjusted subelement, is used for, according to each channel degree of correlation grade that channel degree of correlation classification unit 44 is determined, the order after the ordering of ordering subelement being adjusted when the determination result is NO in channel degree of correlation grade judgment sub-unit;

Second order is sequentially determined subelement, is used for sequentially adjusting the order after subelement is adjusted, and is defined as putting in order of each channel searching.

More preferably, sequentially adjusting subelement specifically comprises:

The channel determination module is used for searching each channel searching that unit 41 finds at channel, determines the highest grade of the channel degree of correlation the channel searching for described searching key word;

The channel selection module for the channel searching of determining at the channel determination module, is selected the channel searching of normalization operation behavior number of times maximum;

The order adjusting module is used for the channel searching that the channel selection module is selected is set to first channel searching after the ordering.

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

The application is that reference is described according to process flow diagram and/or the block scheme of method, device (equipment) and the computer program of the embodiment of the present application.Should understand can be by the flow process in each flow process in computer program instructions realization flow figure and/or the block scheme and/or square frame and process flow diagram and/or the block scheme and/or the combination of square frame.Can provide these computer program instructions to the processor of multi-purpose computer, special purpose computer, Embedded Processor or other programmable data processing device producing a machine, so that the instruction of carrying out by the processor of computing machine or other programmable data processing device produces the device that is used for realizing in the function of flow process of process flow diagram or a plurality of flow process and/or square frame of block scheme or a plurality of square frame appointments.

These computer program instructions also can be stored in energy vectoring computer or the computer-readable memory of other programmable data processing device with ad hoc fashion work, so that the instruction that is stored in this computer-readable memory produces the manufacture that comprises command device, this command device is realized the function of appointment in flow process of process flow diagram or a plurality of flow process and/or square frame of block scheme or a plurality of square frame.

These computer program instructions also can be loaded on computing machine or other programmable data processing device, so that carry out the sequence of operations step producing computer implemented processing at computing machine or other programmable devices, thereby be provided for realizing the step of the function of appointment in flow process of process flow diagram or a plurality of flow process and/or square frame of block scheme or a plurality of square frame in the instruction that computing machine or other programmable devices are carried out.

Although described the application's preferred embodiment, in a single day those skilled in the art get the basic creative concept of cicada, then can make other change and modification to these embodiment.So claims are intended to all changes and the modification that are interpreted as comprising preferred embodiment and fall into the application's scope.Obviously, those skilled in the art can carry out various changes and modification and the spirit and scope that do not break away from the application to the application.Like this, if these of the application are revised and modification belongs within the scope of the application's claim and equivalent technologies thereof, then the application also is intended to comprise these changes and modification interior.

Claims

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

According to the searching key word of user's input, search each channel searching corresponding to described searching key word;

For the channel searching that finds, carry out respectively:

In the information that this channel searching comprises, search for information corresponding to described searching key word;

Obtain the channel relevance degree between this channel searching and the described searching key word;

According to the channel relevance degree that obtains, determine that this channel searching is for the channel degree of correlation grade of described searching key word;

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

According to putting in order of each channel searching of determining, the information that searches is offered the user.

2. the method for claim 1 is characterized in that, obtains the channel relevance degree between this channel searching and the described searching key word, specifically comprises:

In the information that searches for this channel searching, select and satisfy pre-conditioned information;

For each attribute of the information of selecting, determine respectively the attributes correlation value between this attribute and the described searching key word;

According to each attributes correlation value of determining, determine the channel relevance degree between this channel searching and the described searching key word.

3. method as claimed in claim 2 is characterized in that, in the information that searches for this channel searching, selects and satisfies pre-conditioned information, specifically comprises:

For the information that searches in the information that comprises at this channel searching, obtain respectively information correlation value and issue timeliness value between this information and the described searching key word;

Information correlation value and the issue timeliness value of selecting acquisition are maximum information;

With the information of selecting, be defined as satisfying pre-conditioned information.

4. method as claimed in claim 2 is characterized in that, according to each attributes correlation value of determining, determines the channel relevance degree between this channel searching and the described searching key word, specifically comprises:

With each attributes correlation value of determining and, be defined as the channel relevance degree between this channel searching and the described searching key word.

5. the method for claim 1 is characterized in that, according to the channel relevance degree that obtains, determines that this channel searching for the channel degree of correlation grade of described searching key word, specifically comprises:

Determine the relevance degree zone corresponding to each channel degree of correlation grade of this channel searching;

In each relevance degree zone of determining, search the affiliated relevance degree zone of channel relevance degree of acquisition;

With the channel degree of correlation grade under the relevance degree zone that finds, be defined as this channel searching for the channel degree of correlation grade of described searching key word.

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

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

Determine that respectively described searching key word is for the normalization operation behavior number of times of each channel searching that finds;

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

In each channel searching that finds, whether first channel searching after the judgement ordering is not less than other channel searching for the channel degree of correlation grade of described searching key word for the channel degree of correlation grade of described searching key word;

If judged result is yes, the order after then will sorting is defined as putting in order of each channel searching;

If the determination result is NO, then according to each channel degree of correlation grade of determining, the order after the ordering is adjusted;

Order with after adjusting is defined as putting in order of each channel searching.

8. method as claimed in claim 7 is characterized in that, according to the channel degree of correlation grade of determining, the order after the ordering is adjusted, and specifically comprises:

In each channel searching that finds, determine the highest grade of the channel degree of correlation the channel searching for described searching key word;

In the channel searching of determining, select the channel searching of normalization operation behavior number of times maximum;

The channel searching of selecting is set to first channel searching after the ordering.

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

Channel is searched the unit, is used for the searching key word according to user's input, searches each channel searching corresponding to described searching key word;

Information search unit is used for searching the channel searching that the unit finds for channel, in the information that this channel searching comprises, searches for information corresponding to described searching key word respectively;

The channel relevance degree obtains the unit, is used for searching the channel searching that the unit finds for channel, obtains respectively the channel relevance degree between this channel searching and the described searching key word;

Channel degree of correlation classification unit is used for searching the channel searching that the unit finds for channel, obtains the channel relevance degree that the unit obtains according to the channel relevance degree respectively, determines that this channel searching is for the channel degree of correlation grade of described searching key word;

The determining unit that puts in order is used for each channel degree of correlation grade of determining according to channel degree of correlation classification unit, determines putting in order of each channel searching;

Information provides the unit, and for putting in order of each channel searching of determining according to the determining unit that puts in order, the information that information search unit is searched offers the user.

10. device as claimed in claim 9 is characterized in that, the channel relevance degree obtains the unit and specifically comprises:

The Information Selection subelement is used for searching the channel searching that the unit finds for channel, in the information that searches for this channel searching, selects and satisfies pre-conditioned information respectively;

11. device as claimed in claim 10 is characterized in that, the Information Selection subelement specifically comprises:

12. device as claimed in claim 10 is characterized in that, the channel relevance degree determines that subelement specifically is used for:

13. device as claimed in claim 9 is characterized in that, channel degree of correlation classification unit specifically comprises:

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

Relevance degree regional search subelement for determining each relevance degree zone that subelement is determined in the relevance degree zone, is searched the channel relevance degree and is obtained the affiliated relevance degree zone of channel relevance degree that the unit obtains;

14. device as claimed in claim 9 is characterized in that, the determining unit that puts in order specifically is used for:

15. device as claimed in claim 9 is characterized in that, the determining unit that puts in order specifically comprises:

The behavior number of times is determined subelement, is used for determining respectively that described searching key word searches the normalization operation behavior number of times of each channel searching that the unit finds for channel;

The ordering subelement is used for according to the descending order of normalization operation behavior number of times, channel is searched each channel searching that the unit finds sort;

Channel degree of correlation grade judgment sub-unit, be used for searching each channel searching that the unit finds at channel, whether first channel searching after the ordering of judgement ordering subelement is not less than other channel searching for the channel degree of correlation grade of described searching key word for the channel degree of correlation grade of described searching key word;

Order is adjusted subelement, is used for, according to each channel degree of correlation grade that channel degree of correlation classification unit is determined, the order after the ordering of ordering subelement being adjusted when the determination result is NO in channel degree of correlation grade judgment sub-unit;

16. device as claimed in claim 15 is characterized in that, order is adjusted subelement and is specifically comprised:

The channel determination module is used for searching each channel searching that the unit finds at channel, determines the highest grade of the channel degree of correlation the channel searching for described searching key word;