CN104268265A - Information searching method and information searching device - Google Patents
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- CN104268265A CN104268265A CN201410534745.6A CN201410534745A CN104268265A CN 104268265 A CN104268265 A CN 104268265A CN 201410534745 A CN201410534745 A CN 201410534745A CN 104268265 A CN104268265 A CN 104268265A
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Abstract
The application provides an information searching method and an information searching device. The information searching method comprises the steps of: through receiving an information search request which carries with a search word, appointed text collection information and search range information, generating a search word list formed by virtue of expanding the search word by all articles corresponding to the appointed text collection information, and obtaining articles containing at least one element in the search word list from all articles within the search range information as an information search result. As the search word list which is formed by virtue of expanding the search word by all the articles corresponding to the appointed text collection information is utilized in the application, the information search process is realized, and the problem of relatively great deviation between the information search result obtained by information searching adopting the search word list which is generated by expanding the search word input by a search user only based on a historical search record and a clicking record during the information searching process in the prior art and the real individual preference of a user is avoided.
Description
Technical field
The application relates to information search technique field, particularly relates to a kind of information search method and device.
Background technology
Along with the raising of people's living standard and the progress of scientific and technological level, the acquisition demand of people to information is more and more higher, and the approach of people's obtaining information is not limited to books, and more turn on provide information faster, use more easily in internet.
Traditional when carrying out information search by internet, information search function is realized often through full-text search engine, its process is mainly: utilize the historical search record of search subscriber and click the search word that record inputs this search subscriber and carry out the list of expansions generation search word, and then carries out information search according to this search word list and obtain information search result.
This traditional information search method is because only based on historical search record and click record, the search word to search subscriber input expands, make the search word list that generates and the matching degree of user individual preference not high enough, thus the problem that the deviation causing utilizing this search word list to be carried out between information search result that information search obtains and the true personalization preferences of user is larger.
Summary of the invention
In view of this, the application provides a kind of information search method and device, carrying out in information seeking processes to avoid prior art, because of only based on historical search record and click the search word of record to search subscriber input and carries out expansions generation search word list, and the problem that the deviation utilizing this search word list to carry out between information search result that information search obtains and the true personalization preferences of user caused is larger.
To achieve these goals, the technical scheme that provides of the embodiment of the present invention is as follows:
A kind of information search method, comprising:
Receive information search request, wherein carry search word, specify text set information and hunting zone information;
Generate the search word list of search word being expanded by all articles that described appointment text set information is corresponding;
The article of at least one element comprised in described search word list is obtained as information search result in all articles in the information of described hunting zone.
Preferably, the search word list that described generation is expanded search word by all articles that described appointment text set information is corresponding, comprising:
Obtain all articles comprising described search word that described appointment text set information is corresponding;
For each label that the every section of article got carries, calculate the first weighted value in this label article belonging to it respectively;
Be a class label with each label that bookmark name is identical, calculate second weighted value of every class label for described search word respectively according to the first weighted value described in each;
Generate the search word list comprising all kinds of label and the second corresponding with every class label respectively weighted value.
Preferably, when each label carried for the every section of article got, when calculating the first weighted value in this label article belonging to it respectively, following formula is utilized to calculate:
S
(i)(W
k)=[S
source(W
k)-Pos (W
k) * λ (S
source(W
k))] * idf (W
k) * S
attributes(W
k), wherein, described S
(i)(W
k) be first weighted value of a kth label W in this article in i-th section of article, described S
source(W
k) be label W
kcarry out source dates, described Pos (W
k) be label W
klocation parameter, described λ (S
source(W
k)) be because of label W
kthe punishment parameter introduced of position, described idf (W
k) be described label W
ksignificance level in internet, described S
attributes(W
k) be described label W
kpart of speech parameter.
Preferably, described each label identical with bookmark name is a class label, calculates second weighted value of every class label for described search word respectively, comprising according to the first weighted value described in each:
Be a class label with each label that bookmark name is identical, for the every class label except the label classification belonging to each label identical with described search word except bookmark name, obtain each label belonging to such label, and the product of the first weighted value of the first weighted value calculating this label for each label respectively label identical with search word with bookmark name in article belonging to this label, and using product described in each and as second weighted value of this type of label for described search word;
Obtain maximum second weighted value in the second weighted value described in each;
Arranging the second weighted value that belonging to bookmark name each label identical with described search word, label classification is corresponding is be greater than the arbitrary value in described maximum second weighted value.
Preferably, also comprise: obtain each second weighted value of threshold value meeting and pre-set, then described generation comprises the search word list of all kinds of label and the second corresponding with every class label respectively weighted value and is: generates each second weighted value and each labels class other search word list corresponding with this second weighted value of comprising the satisfied threshold value pre-set.
Preferably, also comprise: the 3rd weighted value calculating each section article in described information search result, and show the article corresponding with described 3rd weighted value according to the 3rd weighted value order from high to low.
A kind of information retrieval device, comprising:
Receiving element, for receiving information search request, wherein carrying search word, specifying text set information and hunting zone information;
Generation unit, for generating the search word list of being expanded search word by all articles that described appointment text set information is corresponding;
Result determining unit, for obtaining the article of at least one element comprised in described search word list as information search result in all articles in the information of described hunting zone.
Preferably, described generation unit comprises:
Acquiring unit, for obtaining all articles comprising described search word corresponding to described appointment text set information;
First weighted value computing unit, for each label carried for the every section of article got, calculates the first weighted value in this label article belonging to it respectively;
Second weighted value computing unit is a class label for each label identical with bookmark name, calculates second weighted value of every class label for described search word respectively according to the first weighted value described in each;
Generate subelement, for generating the search word list comprising all kinds of label and the second corresponding with every class label respectively weighted value.
Preferably, described second weighted value computing unit comprises:
First computing unit, be a class label for each label identical with bookmark name, for the every class label except the label classification belonging to each label identical with described search word except bookmark name, obtain each label belonging to such label, and the product of the first weighted value of the first weighted value calculating this label for each label respectively label identical with search word with bookmark name in article belonging to this label, and using product described in each and as second weighted value of this type of label for described search word;
Maximum second weighted value acquiring unit, for obtaining maximum second weighted value in the second weighted value described in each;
Second computing unit is be greater than the arbitrary value in described maximum second weighted value for arranging the second weighted value that belonging to bookmark name each label identical with described search word, label classification is corresponding.
Preferably, also comprise:
Display unit, for calculating the 3rd weighted value of each section article in described information search result, and shows the article corresponding with described 3rd weighted value according to the 3rd weighted value order from high to low.
The application provides a kind of information search method and device, the information search request of carry search word by receiving, specifying text set information and hunting zone information, generate by the search word list of specifying all articles corresponding to text set information to expand search word, and in all articles in the information of hunting zone, acquisition comprises the article of at least one element in search word list as information search result.The application specifies all articles corresponding to text set information to realize information seeking processes to the search word list that search word expands by utilizing, avoiding prior art is carrying out in information seeking processes, because of only based on historical search record and click the search word of record to search subscriber input and carries out expansions generation search word list, and the problem that the deviation utilizing this search word list to carry out between information search result that information search obtains and the true personalization preferences of user caused is larger.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only embodiments of the invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to the accompanying drawing provided.
A kind of information search method process flow diagram that Fig. 1 provides for the embodiment of the present application one;
A kind of generation that Fig. 2 provides for the embodiment of the present application two is by the method flow diagram of all articles of specifying text set information corresponding to the search word list that search word expands;
A kind of information search method process flow diagram that Fig. 3 provides for the embodiment of the present application three;
The structural representation of a kind of information retrieval device that Fig. 4 provides for the embodiment of the present application four.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
Embodiment one:
A kind of information search method process flow diagram that Fig. 1 provides for the embodiment of the present application one.
As shown in Figure 1, the method comprises:
S101, reception information search request, wherein carry search word, specify text set information and hunting zone information.
In the embodiment of the present application, preferably, receive the information search request carrying search word, specify text set information and hunting zone information of search subscriber input, wherein, the information search result of specifying text set information will know for search subscriber the text set information of being correlated with, as when user A inputs information search request, when wanting the Search Results that obtains relevant to text set B, this appointment text set information is the information of text set B.
S102, to generate by the search word list of specifying all articles corresponding to text set information to expand search word.
In the embodiment of the present application, preferably, after receiving information search request, first need to obtain all articles corresponding with the appointment text set information of carrying in this information search request, and then utilize the article got to carry out the list of expansion generation search word to search word.
In the embodiment of the present application, preferably, the corresponding at least one section of article of this appointment text set information.
The article of at least one element comprised in search word list is obtained as information search result in S103, all articles in the information of hunting zone.
In the embodiment of the present application, preferably, when after generation search word list, first need all articles in the hunting zone information of carrying in obtaining information searching request, so obtain in all articles got comprise at least one element in search word list article as Search Results.
The application provides a kind of information search method, the information search request of carry search word by receiving, specifying text set information and hunting zone information, generate by the search word list of specifying all articles corresponding to text set information to expand search word, and in all articles in the information of hunting zone, acquisition comprises the article of at least one element in search word list as information search result.The application specifies all articles corresponding to text set information to realize information seeking processes to the search word list that search word expands by utilizing, avoiding prior art is carrying out in information seeking processes, because of only based on historical search record and click the search word of record to search subscriber input and carries out expansions generation search word list, and the problem that the deviation utilizing this search word list to carry out between information search result that information search obtains and the true personalization preferences of user caused is larger.
Embodiment two:
A kind of generation that Fig. 2 provides for the embodiment of the present application two is by the method flow diagram of all articles of specifying text set information corresponding to the search word list that search word expands.
The all articles comprising search word that S201, acquisition specify text set information corresponding.
In the embodiment of the present application, preferably, generating by the process of the search word list of specifying all articles corresponding to text set information to expand search word, first need to obtain all articles that comprise search word corresponding with specifying text set information.This concrete process is: obtain all articles corresponding with specifying text set information, and then each section obtained in all articles comprises the article of search word.
S202, each label carried for the every section of article got, calculate the first weighted value in this label article belonging to it respectively.
In the embodiment of the present application, preferably, at least one label is all carried in every section of article, it is user-defined (as: when preserving certain section of article when the source of this label can be article generation, for it arranges a label for " sweet apple "), also can be through that word segmentation processing obtains (as: by user-defined label " sweet apple " through word segmentation processing, generate two labels " banana " and " apple "/preserve article time, using word more for occurrence number in article as participle label).
In the embodiment of the present application, in the article got, all comprise search word, therefore, preferably, in the every section of article got, all comprise the title label identical with search word title.
In the embodiment of the present application, preferably, the formula of the first weighted value calculated in label article belonging to it is:
S
(i)(W
k)=[S
source(W
k)-Pos (W
k) * λ (S
source(W
k))] * idf (W
k) * S
attributes(W
k), wherein, S
(i)(W
k) be a kth label W in i-th section of article
kthe first weighted value in this article, S
source(W
k) be label W
kcarry out source dates, Pos (W
k) be label W
klocation parameter, λ (S
source(W
k)) be because of label W
kthe punishment parameter introduced of position, idf (W
k) be label W
ksignificance level in internet, S
attributes(W
k) be label W
kpart of speech parameter.
In the embodiment of the present application, preferably, S
source(W
k) be label W
kcarry out source dates, wherein, the source of label indicates this label to be customized label/participle label, and preferably, pre-sets the S when label is customized label
source(W
k) when being participle label 8 ~ 20 times of value.
In the embodiment of the present application, preferably, Pos (W
k) be label W
klocation parameter, wherein, the position in each label that the position of label indicates the source in the article of this label belonging to it identical, and preferably, arrange which position in each label that the source in the article of label belonging to it is identical, the Pos (W of this label
k) value is several, as: when carrying 5 labels in certain article, wherein 3 is participle label, and these 3 participle labels are followed successively by " banana ", " apple ", " pear ", so, the Pos (W of label " pear "
k) value is 3.
In the embodiment of the present application, preferably, λ (S
source(W
k)) be because of label W
kthe punishment parameter introduced of position, wherein, punishment parameter is different because the source of label is different, preferably, the λ (S pre-set
source(W
k)) value between 0.08 ~ 0.11, and S
source(W
k)-Pos (W
k) * λ (S
source(W
k)) value be more than or equal to 0.5.
In the embodiment of the present application, preferably, idf (W
k) be label W
ksignificance level in internet, wherein, the process calculating the significance level of certain label is prior art, refers to prior art in detail, is not described in detail at this.
In the embodiment of the present application, preferably, S
attributes(W
k) be label W
kpart of speech parameter, wherein, preferably, the part of speech of label is proper noun, noun, verb, adjective, adverbial word, and when part of speech is proper noun, noun, verb, adjective, adverbial word, is followed successively by S
attributes(W
k) assignment is 10,9,5,4,4.
S203, be a class label with each label that bookmark name is identical, calculate second weighted value of every class label for search word respectively according to each first weighted value.
In the embodiment of the present application, preferably, be a class label with each label that bookmark name is identical, calculating every class label respectively according to each first weighted value for the process of the second weighted value of search word is:
1, be a class label with each label that bookmark name is identical, for the every class label except the label classification belonging to each label identical with search word except bookmark name, obtain each label belonging to such label, and the product of the first weighted value of the first weighted value calculating this label for each label respectively label identical with search word with bookmark name in article belonging to this label, and using each product and as second weighted value of this type of label for search word.
In the embodiment of the present application, preferably, be a class label with each label that bookmark name is identical, and the title of such label (that is: class label) is identical with the bookmark name of label in such label.
2, maximum second weighted value in each second weighted value is obtained.
3, arranging the second weighted value that belonging to bookmark name each label identical with search word, label classification is corresponding is be greater than the arbitrary value in maximum second weighted value.
S204, generate and comprise the search word list of all kinds of label and the second corresponding with every class label respectively weighted value.
Further, in the method for the search word list that a kind of generation provided in the embodiment of the present application is expanded search word by all articles of specifying text set information corresponding, also comprise: obtain each second weighted value meeting the threshold value pre-set.
In the embodiment of the present application, preferably, after getting each second weighted value meeting the threshold value pre-set, above-mentioned steps S204 is: generate each second weighted value and other search word list of each labels class corresponding with this second weighted value of comprising and meeting the threshold value pre-set.
The embodiment of the present application provides a kind of generation by the method for all articles of specifying text set information corresponding to the search word list that search word expands, make those skilled in the art clearly generate the process of search listing according to search word, the information search method that the application is provided clearly, be convenient to understand.
Embodiment three:
A kind of information search method process flow diagram that Fig. 3 provides for the embodiment of the present application three.
As shown in Figure 3, the method comprises:
S301, reception information search request, wherein carry search word, specify text set information and hunting zone information.
S302, to generate by the search word list of specifying all articles corresponding to text set information to expand search word.
The article of at least one element comprised in search word list is obtained as information search result in S303, all articles in the information of hunting zone.
In the embodiment of the present application, preferably, the implementation of step S301-S303 is identical with the implementation of the step S101-S103 that above-described embodiment one provides, and refers to the description of above-mentioned steps S101-S103 in detail, is not described in detail at this.
3rd weighted value of each section article in S304, computing information Search Results, and show the article corresponding with the 3rd weighted value according to the 3rd weighted value order from high to low.
In the embodiment of the present application, preferably, the process calculating its 3rd weighted value for every section of article in Search Results is: calculate first weighted value of each label in this article and the 4th weighted value in full-text search engine in this section of article respectively, calculate the first weighted value of each label and the product of the 4th weighted value, and using each product of calculating and as the 3rd weighted value of this section of article, show the article corresponding with the 3rd weighted value according to the 3rd weighted value by high order on earth.
In the embodiment of the present application, preferably, the process calculating the weighted value of label in full-text search engine is prior art, refers to prior art in detail, is not described in detail at this.
The embodiment of the present application provides a kind of information search method, the basis of the information search method that the method provides at above-described embodiment comprises further the 3rd weighted value of every section of article in computing information Search Results, and shown by high order on earth according to the 3rd weighted value, the Search Results that the information search method that the embodiment of the present application is provided provides meets the demand of search subscriber more.
Embodiment four:
The structural representation of a kind of information retrieval device that Fig. 4 provides for the embodiment of the present application four.
As shown in Figure 4, this device comprises: the receiving element 1, generation unit 2 and the result determining unit 3 that are connected successively, wherein:
Receiving element 1, for receiving information search request, wherein carrying search word, specifying text set information and hunting zone information.
Generation unit 2, for generating by the search word list of specifying all articles corresponding to text set information to expand search word.
In the embodiment of the present application, preferably, generation unit 2 comprises the acquiring unit, the first weighted value computing unit, the second weighted value computing unit and the generation subelement that are connected successively, wherein:
Acquiring unit, for obtaining all articles comprising search word of specifying text set information corresponding; First weighted value computing unit, for each label carried for the every section of article got, calculates the first weighted value in this label article belonging to it respectively; Second weighted value computing unit is a class label for each label identical with bookmark name, calculates second weighted value of every class label for search word respectively according to each first weighted value; Generate subelement, for generating the search word list comprising all kinds of label and the second corresponding with every class label respectively weighted value.
In the embodiment of the present application, preferably, the second weighted value computing unit comprises: the first computing unit, maximum second weighted value acquiring unit and the second computing unit that are connected successively, wherein:
First computing unit, be a class label for each label identical with bookmark name, for the every class label except the label classification belonging to each label identical with search word except bookmark name, obtain each label belonging to such label, and the product of the first weighted value of the first weighted value calculating this label for each label respectively label identical with search word with bookmark name in article belonging to this label, and using each product and as second weighted value of this type of label for search word; Maximum second weighted value acquiring unit, for obtaining maximum second weighted value in each second weighted value; Second computing unit is be greater than the arbitrary value in maximum second weighted value for arranging the second weighted value that belonging to bookmark name each label identical with search word, label classification is corresponding.
Result determining unit 3, for obtaining the article of at least one element comprised in search word list as information search result in all articles in the information of hunting zone.
Further, in a kind of information retrieval device that the embodiment of the present application provides, also comprise: display unit, for the 3rd weighted value of section article each in computing information Search Results, and show the article corresponding with the 3rd weighted value according to the 3rd weighted value order from high to low.
The application provides a kind of information retrieval device, the information search request that this device carrying search word by receiving, specifying text set information and hunting zone information, generate by the search word list of specifying all articles corresponding to text set information to expand search word, and in all articles in the information of hunting zone, acquisition comprises the article of at least one element in search word list as information search result.The application specifies all articles corresponding to text set information to realize information seeking processes to the search word list that search word expands by utilizing, avoiding prior art is carrying out in information seeking processes, because of only based on historical search record and click the search word of record to search subscriber input and carries out expansions generation search word list, and the problem that the deviation utilizing this search word list to carry out between information search result that information search obtains and the true personalization preferences of user caused is larger.
In this instructions, each embodiment adopts the mode of going forward one by one to describe, and what each embodiment stressed is the difference with other embodiments, between each embodiment identical similar portion mutually see.For device disclosed in embodiment, because it corresponds to the method disclosed in Example, so description is fairly simple, relevant part illustrates see method part.
Below be only the preferred implementation of the application, those skilled in the art understood or realizes the application.To be apparent to one skilled in the art to the multiple amendment of these embodiments, General Principle as defined herein when not departing from the spirit or scope of the application, can realize in other embodiments.Therefore, the application can not be restricted to these embodiments shown in this article, but will meet the widest scope consistent with principle disclosed herein and features of novelty.
Claims (10)
1. an information search method, is characterized in that, comprising:
Receive information search request, wherein carry search word, specify text set information and hunting zone information;
Generate the search word list of search word being expanded by all articles that described appointment text set information is corresponding;
The article of at least one element comprised in described search word list is obtained as information search result in all articles in the information of described hunting zone.
2. method according to claim 1, is characterized in that, the search word list that described generation is expanded search word by all articles that described appointment text set information is corresponding, comprising:
Obtain all articles comprising described search word that described appointment text set information is corresponding;
For each label that the every section of article got carries, calculate the first weighted value in this label article belonging to it respectively;
Be a class label with each label that bookmark name is identical, calculate second weighted value of every class label for described search word respectively according to the first weighted value described in each;
Generate the search word list comprising all kinds of label and the second corresponding with every class label respectively weighted value.
3. method according to claim 2, is characterized in that, when each label carried for the every section of article got, when calculating the first weighted value in this label article belonging to it respectively, utilizes following formula to calculate:
S
(i)(W
k)=[S
source(W
k)-Pos (W
k) * λ (S
source(W
k))] * idf (W
k) * S
attributes(W
k), wherein, described S
(i)(W
k) be a kth label W in i-th section of article
kthe first weighted value in this article, described S
source(W
k) be label W
kcarry out source dates, described Pos (W
k) be label W
klocation parameter, described λ (S
source(W
k)) be because of label W
kthe punishment parameter introduced of position, described idf (W
k) be described label W
ksignificance level in internet, described S
attributes(W
k) be described label W
kpart of speech parameter.
4. method according to claim 2, is characterized in that, described each label identical with bookmark name is a class label, calculates second weighted value of every class label for described search word respectively, comprising according to the first weighted value described in each:
Be a class label with each label that bookmark name is identical, for the every class label except the label classification belonging to each label identical with described search word except bookmark name, obtain each label belonging to such label, and the product of the first weighted value of the first weighted value calculating this label for each label respectively label identical with search word with bookmark name in article belonging to this label, and using product described in each and as second weighted value of this type of label for described search word;
Obtain maximum second weighted value in the second weighted value described in each;
Arranging the second weighted value that belonging to bookmark name each label identical with described search word, label classification is corresponding is be greater than the arbitrary value in described maximum second weighted value.
5. method according to claim 4, it is characterized in that, also comprise: obtain each second weighted value of threshold value meeting and pre-set, then described generation comprises the search word list of all kinds of label and the second corresponding with every class label respectively weighted value and is: generates each second weighted value and each labels class other search word list corresponding with this second weighted value of comprising the satisfied threshold value pre-set.
6. method according to claim 1, is characterized in that, also comprises: the 3rd weighted value calculating each section article in described information search result, and shows the article corresponding with described 3rd weighted value according to the 3rd weighted value order from high to low.
7. an information retrieval device, is characterized in that, comprising:
Receiving element, for receiving information search request, wherein carrying search word, specifying text set information and hunting zone information;
Generation unit, for generating the search word list of being expanded search word by all articles that described appointment text set information is corresponding;
Result determining unit, for obtaining the article of at least one element comprised in described search word list as information search result in all articles in the information of described hunting zone.
8. device according to claim 7, is characterized in that, described generation unit comprises:
Acquiring unit, for obtaining all articles comprising described search word corresponding to described appointment text set information;
First weighted value computing unit, for each label carried for the every section of article got, calculates the first weighted value in this label article belonging to it respectively;
Second weighted value computing unit is a class label for each label identical with bookmark name, calculates second weighted value of every class label for described search word respectively according to the first weighted value described in each;
Generate subelement, for generating the search word list comprising all kinds of label and the second corresponding with every class label respectively weighted value.
9. device according to claim 8, is characterized in that, described second weighted value computing unit comprises:
First computing unit, be a class label for each label identical with bookmark name, for the every class label except the label classification belonging to each label identical with described search word except bookmark name, obtain each label belonging to such label, and the product of the first weighted value of the first weighted value calculating this label for each label respectively label identical with search word with bookmark name in article belonging to this label, and using product described in each and as second weighted value of this type of label for described search word;
Maximum second weighted value acquiring unit, for obtaining maximum second weighted value in the second weighted value described in each;
Second computing unit is be greater than the arbitrary value in described maximum second weighted value for arranging the second weighted value that belonging to bookmark name each label identical with described search word, label classification is corresponding.
10. device according to claim 7, is characterized in that, also comprises:
Display unit, for calculating the 3rd weighted value of each section article in described information search result, and shows the article corresponding with described 3rd weighted value according to the 3rd weighted value order from high to low.
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Citations (7)
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