CN103093003A - Search result ordering system and method based on mutual assistance popularizing function - Google Patents
Search result ordering system and method based on mutual assistance popularizing function Download PDFInfo
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Abstract
The invention provides a search result ordering system and a method based on a mutual assistance popularizing function. The system comprises an information releasing module, an information popularizing module, a database and an ordering module, wherein the information popularizing module is used for generating and displaying a mutual assistance popularizing link corresponding to information needing to be popularized as required by a user, the user spreads the mutual assistance popularizing link in a wide range to introduce flow to a search engine correlated with a system, the information popularizing module is further used for analyzing and processing hyper text transport protocol (HTTP) request introduced by the mutual assistance popularizing link and generating an information popularizing record corresponding to the information to be popularized, the information popularizing record is then stored in a database, the ordering module is used for executing various ordering algorithms according to the information popularizing record to obtain final ordering information of a search result. According to the search result ordering system, information popularizing requirements of the user and flow requirements of the search engine are fully considered, the simple and effective information popularizing service can be provided for the user, and endogenous and stable flow sources are provided for the search engine.
Description
Technical field
The present invention relates to searching engine field, particularly relate to a kind of search results ranking system and method for function of promoting based on helping each other.
Background technology
Along with the develop rapidly of internet and the explosive growth of various information, how to allow the information of oneself be found by potential customers in magnanimity information, become the difficult problem of a headache of information publisher.Search engine is the surf the Net main entrances of obtaining information of people, in order to occupy desirable rank in search result list when searching for some information, thereby obtain more potential customers' concern, the information publisher often needs to spend plenty of time energy and carries out SEO or buy the paying extension service that search engine provides.The SEO more complicated is loaded down with trivial details, and there is certain drawback mostly in the paying extension service that provides of each search engine at present, as: just there is the problem of click fraud in bid ranking, and fixedly but sky-high price often of the expense of rank, cause many prestiges and step back.On the other hand, each search engine is in order to contend for markets and to keep market share also to exist huge traffic demand, and therefore those outside partners for oneself providing the flow entrance to serve usually are provided, but no matter are that paying extension service or SEO can not bring flow for search engine.Therefore, design a kind of information popularization demand that can satisfy simply and effectively the user, the search results ranking system and method that can provide interior life, stable flow to originate for search engine again is the realistic problem that needs to be resolved hurrily in current searching engine field.
Summary of the invention
The object of the present invention is to provide a kind of search results ranking system and method for promoting function based on helping each other, be intended to solve the problem that prior art can't effectively satisfy the traffic demand of user's information popularization demand and search engine simultaneously.
The technical solution adopted for the present invention to solve the technical problems is:
A kind of search results ranking system based on the popularization function of helping each other comprises database, order module, it is characterized in that, described system also comprises information issuing module and information popularization module;
Described information issuing module is used for the information of the needs popularization of reception user submission, and stores in the described database of information importing that will describedly need to promote;
Described information popularization module is used for extracting the described information that needs popularization that described database is stored, generate and represent corresponding the helping each other of information of promoting with described needs and promote and link, the user promotes chain and fetches the associated search engine introducing flow (namely attracting the netizen to come described search engine) for described system by propagating described helping each other on a large scale; Described information popularization module also is used for described the helping each other of analyzing and processing and promotes the HTTP request that link is introduced, generate the required information popularization record corresponding with the described information that need to promote of sort algorithm, and will store in the described database of described information popularization record importing;
Described database is used for storing the described information that needs popularization that described information issuing module provides, supplying described information popularization module is generating and is representing described extraction of helping each other when promoting link, also be used for storing the described information popularization record that described information popularization module generates the extraction when supplying described order module execution sort algorithm;
Described order module is used for carrying out multiple sort algorithm according to the described information popularization record that described database is stored, and obtains the final sequencing information of Search Results.
Described sort algorithm comprises independent sort algorithm and Algorithm for Final Priorities;
Described independent sort algorithm comprises helping each other at least promotes the record analysis method, can also comprise increment popularization record analysis method;
Described independent sort algorithm calculates ordering score corresponding to each Search Results independently of each other;
Described Algorithm for Final Priorities calculates integrated ordered score value corresponding to each Search Results according to ordering score corresponding to each Search Results that the described independent sort algorithm of execution obtains.
Described information popularization module comprises the promotional module of helping each other at least, can also comprise the increment promotional module;
Described information popularization record comprises the popularization record of helping each other at least, can also comprise increment popularization record;
The described promotional module of helping each other is used for extracting the described information that needs popularization that described database is stored, generate and represent the popularization of helping each other corresponding to information of promoting with described needs and link, the user fetches the associated search engine introducing flow into described system by propagating the described popularization chain of helping each other on a large scale, and then promotes the described rank of information in Search Results that needs popularization; The described promotional module of helping each other also is used for described the helping each other of analyzing and processing and promotes the HTTP request that link is introduced, generate to promote with described corresponding the helping each other of information that needs to promote and record and import in described database, extract and the popularization record analysis method of taking to help each other is calculated ordering score corresponding to each Search Results for described order module;
Described increment promotional module is used for arranging and provides increment to promote set meal, generates the increment corresponding with required promotion message and promote the set meal order when the user is the described increment popularization of the information purchase set meal of required popularization; Described increment promotional module also is used for the described increment of analyzing and processing and promotes the set meal order, generating with described needs increment corresponding to the information promoted to promote to record and import in described database, extracts and the popularization record analysis method of taking to rise in value is calculated ordering score corresponding to each Search Results for described order module.
The described promotional module of helping each other further comprises helping each other promotes link module, HTTP request processing module and the popularization History Parser Module of helping each other, and described increment promotional module comprises that further set meal module, order processing module are promoted in increment and the popularization History Parser Module that rises in value;
The described popularization link module of helping each other is used for extracting the described information that needs popularization that described database is stored, generate and represent corresponding the helping each other of information of promoting with described needs and promote and link, the user can promote chain and fetch the associated search engine introducing flow into described system by propagating described helping each other on a large scale;
Described HTTP request processing module is used for described the helping each other of analyzing and processing and promotes the HTTP request that link is introduced;
Analysis processing result and old the help each other popularization record corresponding with the described information that need to promote of described database that the described popularization History Parser Module of helping each other is used for described HTTP request processing module is generated are integrated, generate new the help each other popularization record corresponding with the described information that need to promote, and import in described database and store, extract and take to help each other for described order module and promote the record analysis method and calculate ordering score corresponding to each Search Results;
Described increment popularization set meal module is used for arranging and provides increment to promote set meal, generates the increment corresponding with required promotion message and promote the set meal order when the user is the described increment popularization of the information purchase set meal of required popularization;
Described order processing module is used for that the set meal order is promoted in the described increment that described increment popularization set meal module generates and carries out analyzing and processing;
Analysis processing result and the old increment popularization record corresponding with the described information that need to promote of described database that described increment popularization History Parser Module is used for described order processing module is generated are integrated, generate the new increment corresponding with the described information that need to promote and promote record, and import in described database and store, extract and take to rise in value for described order module and promote the record analysis method and calculate ordering score corresponding to each Search Results.
Described information popularization module also is used for promoting the HTTP request that link introduces and generating the preference result page according to described helping each other, and the described information that needs to promote is represented remarkable position in described preference result page.Described preference result page is that described information popularization module is in the relevant information results page of netizen's information requirement being carried out generate on the basis of effective analyses and prediction.
Described information popularization module also is used for the click behavior of analyzing and processing netizen on search results pages, and analysis processing result is stored in described database.
A kind of search result ordering method based on the popularization function of helping each other is characterized in that, said method comprising the steps of:
A. the user links by propagating the popularization of helping each other corresponding with its required promotion message on a large scale, for the associated search engine of search results ranking system is introduced flow, the HTTP request that the described popularization link of helping each other of information popularization module analysis processing is introduced, the generation information popularization corresponding with the described information that need to promote records and import in database to be stored;
B. the netizen inputs term and searches in described search engine, obtains corresponding Search Results;
C. order module is promoted record from described database information extraction, carries out multiple sort algorithm and obtains integrated ordered score value corresponding to each Search Results in this time search;
D. the integrated ordered score value corresponding according to each Search Results sorts to described Search Results, and final sequencing information is shown output.
Described information popularization module further comprises promotional module and increment at least one or both in promotional module that help each other, and comprises at least the promotional module of helping each other;
Described information popularization record further comprising helping each other to be promoted record and increment and promotes at least a in record or both, comprises at least the popularization record of helping each other; Described sort algorithm comprises independent sort algorithm and Algorithm for Final Priorities;
Described independent sort algorithm comprises helping each other to be promoted record analysis method and increment and promotes at least a in the record analysis method or both, and comprising at least helps each other promotes the record analysis method,
Described independent sort algorithm calculates ordering score corresponding to each Search Results independently of each other;
Described Algorithm for Final Priorities calculates integrated ordered score value corresponding to each Search Results according to ordering score corresponding to each Search Results that the described independent sort algorithm of execution obtains.
Described steps A further comprises at least one or both in steps A 1 and steps A 2, comprises at least steps A 1;
Described steps A 1:
A1. the user links by propagating the popularization of helping each other corresponding with its required promotion message on a large scale, for the associated search engine of search results ranking system is introduced flow, described the helping each other of the described promotional module analyzing and processing of helping each other promoted the HTTP request that link is introduced, generate the preference result page, and the described information of need promoting is represented remarkable position in described preference result page, generate simultaneously to promote with corresponding the helping each other of the described information that need to promote and record and import in described database, extract and take to help each other for described order module and promote the record analysis method and calculate ordering score corresponding to each Search Results,
Described steps A 2:
A2. the described increment promotional module information that is required popularization the user is bought and to be generated when set meal is promoted in increment and described increment popularization set meal order corresponding to the information promoted that need, and the set meal order is promoted in described increment carried out analyzing and processing, generating with described needs increment corresponding to the information promoted to promote to record and import in described database, extracts and the popularization record analysis method of taking to rise in value is calculated ordering score corresponding to each Search Results for described order module;
Described step C further comprises:
C1. described order module is promoted record from described database information extraction, takes respectively each independent sort algorithm to calculate ordering score corresponding to each Search Results;
C2. described order module according to the result of calculation that described step C1 obtains, takes Algorithm for Final Priorities to calculate integrated ordered score value corresponding to each Search Results;
In described step C2, Algorithm for Final Priorities utilizes following formula to calculate:
S(K,Ri)?=?∑Si(j)*?Wj，?∑Wj?=1，(0<=Wj<=1)；
In described formula, K is term, Ri is Search Results, i is the numbering of Search Results, j is the numbering of independent sort algorithm, Si (j) carries out No. j ordering score corresponding to independent sort algorithm gained Search Results Ri when being illustrated in search term K, Wj represents the weight factor of No. j independent sort algorithm, the integrated ordered score value that during S (K, Ri) expression search term K, Search Results Ri has.
Described method further comprises at least one or both in step e and step F:
E. described order module stores described final sequencing information in described database into;
F. the click behavior on search results pages feeds back to the information popularization module and carries out analyzing and processing with the netizen, and analysis processing result is stored in described database.
The invention has the beneficial effects as follows, can satisfy simply and effectively user's information popularization demand (and having than the high investment output ratio) concerning the user, can originate for search engine provides interior life, stable flow again.
Description of drawings
Fig. 1 promotes the search results ranking system construction drawing of function based on helping each other in the present invention;
Fig. 2 promotes the search result ordering method process flow diagram of function based on helping each other in the present invention;
Fig. 3 promotes the search result ordering method process flow diagram of function based on helping each other in one embodiment of the present of invention.
Embodiment
In order to make purpose of the present invention, technical scheme and advantage clearer, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, is not intended to limit the present invention.
The present invention has built one and has promoted the search results ranking system of function based on helping each other, and system comprises information issuing module, information popularization module, database and order module.Information issuing module is used for the information of the needs popularization of reception user submission, and stores in the described database of information importing that will describedly need to promote; The information popularization module is used for extracting the described information that needs popularization that described database is stored, generate and represent corresponding the helping each other of information of promoting with described needs and promote and link, the user promotes chain and fetches the associated search engine introducing flow into described system by propagating described helping each other on a large scale; Described information popularization module also is used for described the helping each other of analyzing and processing and promotes the HTTP request that link is introduced, generate the required information popularization record corresponding with the described information that need to promote of sort algorithm, and will store in the described database of described information popularization record importing; Order module is used for carrying out multiple sort algorithm according to the described information popularization record that described database is stored, and obtains the final sequencing information of Search Results.This system has taken into full account user's information popularization demand and the traffic demand of search engine, can provide simply for the user, effectively information popularization service, can provide interior life, stable flow source for search engine again.
Fig. 1 shows in the present invention the structure of the search results ranking system that promotes function based on helping each other, this ordering system can be arranged in search engine, also can be in search engine the relation of independent parallel, comprising information issuing module 100, information popularization module 200, database 300 and order module 400.
Information issuing module 100 is used for the information of the needs popularization of reception user submission, and described information is imported storage in database 300.
Information popularization module 200 provides the information popularization function and can be used for the information popularization record of various independent sort algorithms, and the information popularization record is imported to storage in database 300, this information popularization module 200 comprises help each other promotional module 210 and increment promotional module 220, and both can be separate.The independent sort algorithm that the present invention takes comprises that help each other popularization record analysis method and increment popularization record analysis method etc. are multiple, and each independent sort algorithm calculates ordering score corresponding to each Search Results independently of each other.Described helping each other promoted the record analysis method, refer to by statistical study the help each other popularization record corresponding with the described information that need to promote, calculate described ordering score corresponding to information that needs popularization, this ordering score can reflect that the popularization of helping each other corresponding to information of promoting with described needs is linked as frequecy characteristic and the uninterrupted that the associated search engine of this system is introduced flow, decides the described sequence of information in Search Results that needs popularization with this.for example user's first has been issued a business information relevant to " mobile phone " in advance, and promote by help each other corresponding with this information of wide-scale distribution and be linked as described search engine and introduced flow (namely attracting the netizen to come described search engine), generated the help each other popularization record corresponding with this information, when certain netizen uses described search engine search " mobile phone " relevant information, system is 9.9 by its ordering score of information that the popularization record analysis method of helping each other calculates the issue of user's first, and in this moment Search Results ordering score corresponding to other object informations all lower than 9.9, " mobile phone " relevant information of user's first being issued comes first in Search Results.The record analysis method is promoted in described increment, refer to promote record by the statistical study increment corresponding with the described information that need to promote, calculate described ordering score corresponding to information that needs popularization, this ordering score can reflect that the information of described needs popularization for the influence degree of described search engine business revenue, decides the described sequence of information in Search Results that needs popularization with this.For example user's second has been issued a business information relevant to " fresh flower " in advance, and bought increment for this information and promoted set meal, generate the increment corresponding with this information and promoted record, when certain netizen uses described search engine search " fresh flower " relevant information, it is 8.8 that system promotes by increment its ordering score of information that the record analysis method calculates user's second issue, and in this moment Search Results, ordering score corresponding to other object informations all lower than 8.8, comes " fresh flower " relevant information of user's second issue first in Search Results.Sort algorithm of the present invention, can be expanded for satisfying the more demands of user and search engine development need including, but not limited to above-mentioned two kinds.
The promotional module of helping each other 210 further comprises helping each other to be promoted link module 211, HTTP request processing module 212 and helps each other and promote History Parser Module 213.Wherein, help each other and promote link module 211 for the information of promoting according to the described needs of described database 300 storages, generate and represent the popularization of helping each other corresponding to information of promoting with described needs and link, the user fetches the associated search engine introducing flow into described system by propagating the described popularization chain of helping each other on a large scale, and then promotes the described rank of information in Search Results that needs popularization; HTTP request processing module 212 is used for described the helping each other of analyzing and processing and promotes the HTTP request that link is introduced; Help each other and promote History Parser Module 213 for receiving the analysis processing result that described HTTP request processing module 212 provides, the help each other popularization record corresponding with the described information that need to promote old in described analysis processing result and described database 300 integrated, promote and record and import in described database 300 thereby generate new and described corresponding the helping each other of information that needs to promote, extract and the popularization record analysis method of taking to help each other is calculated ordering score corresponding to each Search Results for described order module 400;
Increment promotional module 220 comprises that further set meal module 221, order processing module 222 are promoted in increment and the popularization History Parser Module 223 that rises in value.Wherein, the popularization set meal module 221 of rising in value is used for arranging and provides increment to promote set meal, generates the increment corresponding with required promotion message and promote the set meal order when the user is the described increment popularization of the information purchase set meal of required popularization; The described increment that order processing module 222 is used for receiving described increment popularization set meal module 221 and provides is promoted the set meal order and carries out analyzing and processing; Increment is promoted History Parser Module 223 and is used for receiving the analysis processing result that described order processing module 222 provides, record is promoted in the increment corresponding with the described information that need to promote old in described analysis processing result and described database 300 to be integrated, promote and record and import in described database 300 thereby generate new and described increment corresponding to information that needs to promote, extract and the popularization record analysis method of taking to rise in value is calculated ordering score corresponding to each Search Results for described order module 400.
Information popularization module 200 also is used for promoting the HTTP request that link introduces and generating the preference result page according to described helping each other, and the described information that needs to promote is represented remarkable position in described preference result page.
Information popularization module 200 also is used for the click behavior of analyzing and processing netizen on search results pages, and analysis processing result is stored in described database.
It is to be noted, module in described information popularization module 200 can be expanded or delete according to sort algorithm, for example, if ordering system of the present invention need to increase new algorithm, increase corresponding module in this information popularization module 200, the information popularization that can be used for this algorithm record is provided.
Database 300 is used for storing the described information that needs popularization that described information issuing module 100 provides, supply described information popularization module 200 and promote extraction when linking generating and represent corresponding the helping each other of information of promoting with described needs, also be used for storing the information popularization record that described information popularization module 200 is that provide and the described information that need to promote is corresponding extraction when supplying described order module 400 execution sort algorithm.
400 of order module are used for carrying out various independent sort algorithms, and Algorithm for Final Priorities.Order module 400 is extracted the information popularization record that can be used for certain independent sort algorithm from database 300, thereby takes this independent sort algorithm to calculate ordering score corresponding to each Search Results.Order module 400 again according to these by the ordering score that independent sort algorithm obtains, take Algorithm for Final Priorities to calculate integrated ordered score value corresponding to each Search Results in this time search, sort according to integrated ordered score value, and show output.
Described order module 400 also is used for storing described final sequencing information into described database 300;
Fig. 2 shows the flow process of the search result ordering method of promoting function based on helping each other in the present invention.
In step S201, the user links by propagating the popularization of helping each other corresponding with its required promotion message on a large scale, come to introduce flow for the associated search engine of search results ranking system, described the helping each other of the promotional module of helping each other 210 analyzing and processing promoted the HTTP request that link is introduced, generate the preference result page, and the described information of need promoting is represented remarkable position in described preference result page, generate simultaneously to promote to record and import in database 300 with described corresponding the helping each other of information that needs to promote and store; When the information that increment promotional module 220 is required popularization the user is bought increment popularization set meal, generate the increment corresponding with required promotion message and promote the set meal order, and the set meal order is promoted in described increment carried out analyzing and processing, generate the increment popularization corresponding with the described information that need to promote and record and import storage in database 300.
In step S202, the netizen inputs term and searches in described search engine, obtain corresponding Search Results.
In step S203, order module 400 is promoted record from database 300 information extractions, takes each independent sort algorithm and Algorithm for Final Priorities to calculate integrated ordered score value corresponding to each Search Results in this time search.Detailed process is: at first, take respectively each independent sort algorithm to calculate ordering score corresponding to each Search Results; Then, according to the result of calculation that the independent sort algorithm of execution obtains, take Algorithm for Final Priorities to calculate integrated ordered score value corresponding to each Search Results.
In step S204, the integrated ordered score value corresponding according to each Search Results sorts to Search Results, and final sequencing information is shown output, also final sequencing information stored in database 300 simultaneously.
Fig. 3 shows in one embodiment of the present of invention the flow process of the search result ordering method of promoting function based on helping each other, take certain term K as example, supposes that user's first issued the information R3 relevant to K, and user's second has been issued the information R4 relevant to K, and details are as follows:
In step S301, user's first links by propagating the popularization of helping each other corresponding with R3 on a large scale, come to introduce flow for the associated search engine of search results ranking system, described the helping each other of the promotional module of helping each other 210 analyzing and processing promoted the HTTP request that link is introduced, generate the preference result page, and the described information of need promoting is represented remarkable position in described preference result page, generate simultaneously help each other corresponding with R3 and promote to record and import in database 300 and store.
In step S302, when the R4 that increment promotional module 220 is required popularization in user's second buys increment popularization set meal, generate the increment corresponding with R4 and promote the set meal order, and the set meal order is promoted in described increment carried out analyzing and processing, generate the increment popularization corresponding with R4 and record and import storage in database 300.
In step S303, the netizen inputs term K and searches in search engine, obtain corresponding Search Results, and for example the Search Results of relevant K has following 6: R1, R2, R3, R4, R5, R6.Certainly, the present invention's limit search number as a result not.
In step S304, order module 400 is extracted the required information popularization record of each sort algorithm from database 300, takes at first respectively each independent sort algorithm to calculate ordering score corresponding to each Search Results in this time search.Detailed process is as follows:
Take the first independence sort algorithm, as help each other and promote the record analysis method, promote record according to helping each other in database and calculate, obtain ordering score corresponding to each Search Results, represent with Si (1).Suppose that in this time search, ordering score corresponding to each Search Results is: S1 (1)=5, S2 (1)=1, S3 (1)=6, S4 (1)=4, S5 (1)=2, S6 (1)=3.
Take the second independence sort algorithm, promote the record analysis method as increment, promote record according to the increment in database and calculate, obtain ordering score corresponding to each Search Results, represent with Si (2).Suppose that in this time search, ordering score corresponding to each Search Results is: S1 (2)=1, S2 (2)=2, S3 (2)=5, S4 (2)=6, S5 (2)=3, S6 (2)=4.
It is as shown in the table that two minor sorts calculate ordering score corresponding to each Search Results of gained:
Wherein i is the numbering of Search Results, 1＜=i in this embodiment＜=6; J is the numbering of independent sort algorithm, and the independent sort algorithm that uses in this embodiment of the present invention has two kinds, so 1＜=j＜=2.As above shown in the table, the ordering score that Search Results R1 obtains in two minor sorts calculate is respectively: Sl (1)=5, S1 (2)=1.
In step S305, take Algorithm for Final Priorities to calculate integrated ordered score value corresponding to each Search Results in this time search.Namely utilize following computing formula:
S(K,Ri)?=?Si(1)*W1+Si(2)*W2，W1+W2=1，(0<=Wl,W2<=1)
In this computing formula, K is term, Ri is Search Results, Si (1), Si (2) carry out ordering score corresponding to each independent sort algorithm gained Search Results Ri when being illustrated respectively in search term K, Wl, W2 (for example can be set as W1=0.8 for the weight factor of each independent sort algorithm, the integrated ordered score value that when W2=0.2), term K is searched in S (K, Ri) expression, Search Results Ri has.
In this embodiment, each minor sort score value corresponding according to each Search Results that has obtained in step S304 uses this computing formula to calculate integrated ordered score value corresponding to each Search Results, and the integrated ordered score value that for example Search Results R1 is corresponding is:
S(K,R1)=S1(1)*W1+Sl(2)*?W2
=5*0.8+1*0.2
=4.2
Use the same method, calculate integrated ordered score value corresponding to other each Search Results in this time search, be respectively: S (K, R2)=1.2, S (K, R3)=5.8, S (K, R4)=4.4, S (K, RS)=2.2, S (K, R6)=3.2.
In step S306, the integrated ordered score value corresponding according to each Search Results compares, and is according to from big to small order: S (K, R3), S (K, R4), S (K, R1), S (K, R6), S (K, R5), S (K, R2).Therefore the array correspondence of each Search Results is: R3, R4, R1, R6, R5, R2, and when showing output also on webpage the order with " R3, R4, R1, R6, R5, R2 " be shown to the user.Again this sequence is deposited in database 300 at last.
After this step, the netizen obtains search results pages, and can choose thereon and click own interested content.Ordering system of the present invention can utilize information popularization module 200 (promotional module 210 of especially helping each other) analyzing and processing user's wherein click behavior, and the analysis processing result that obtains is stored in database 300.This result can reflect that search engine is that the user releases news and brings audient's frequency and the size of pageview, facilitate the user to weigh the pros and cons to participate in information popularization must with mistake.
Search results ranking of the present invention system can promote with helping each other HTTP request Real-time Feedback that link introduces to the promotional module 210 of helping each other, to rise in value popularization set meal order Real-time Feedback to increment promotional module 220, and processing formation is helped each other by analysis, and popularization is recorded and the increment popularization is recorded and stored in described database 300.When the netizen searched for information, search results ranking of the present invention system can sort according to the record of the information popularization in database 300, and up-to-date ranking results in time is shown to the netizen.This ranking results can in time embody flow and the value that the user brings to search engine, therefore also can in time give the user with corresponding flow and be worth feedback, can effectively satisfy user's information popularization demand, and make it keep good enthusiasm.
Should be noted that independent sort algorithm used in the present invention is not limited to mentioned several, can expand as required or delete, the module in information popularization module 200 also can be expanded or delete according to sort algorithm in addition.
The above is only preferred embodiment of the present invention, not in order to limiting the present invention, all any modifications of doing within the spirit and principles in the present invention, is equal to and replaces and improvement etc., within all should being included in protection scope of the present invention.
Claims (10)
1. promote the search results ranking system of function based on helping each other for one kind, comprise database, order module, it is characterized in that, described system also comprises information issuing module and information popularization module;
Described information issuing module is used for the information of the needs popularization of reception user submission, and stores in the described database of information importing that will describedly need to promote;
Described information popularization module is used for extracting the described information that needs popularization that described database is stored, and generates and represent the popularization of helping each other corresponding to information of promoting with described needs to link; Described information popularization module also records and imports described database for the generation information popularization corresponding with the described information that need to promote and stores;
Described database is used for storing the described information that needs popularization that described information issuing module provides, supplying described information popularization module is generating and is representing described extraction of helping each other when promoting link, also be used for storing the described information popularization record that described information popularization module generates the extraction when supplying described order module execution sort algorithm;
Described order module is used for carrying out multiple sort algorithm according to the described information popularization record that described database is stored, and obtains the final sequencing information of Search Results.
2. search results ranking as claimed in claim 1 system, is characterized in that, described sort algorithm comprises independent sort algorithm and Algorithm for Final Priorities;
Described independent sort algorithm comprises helping each other at least promotes the record analysis method, can also comprise increment popularization record analysis method;
Described independent sort algorithm calculates ordering score corresponding to each Search Results independently of each other;
Described Algorithm for Final Priorities calculates integrated ordered score value corresponding to each Search Results according to ordering score corresponding to each Search Results that the described independent sort algorithm of execution obtains.
3. search results ranking as claimed in claim 1 or 2 system, is characterized in that, described information popularization module comprises the promotional module of helping each other at least, can also comprise the increment promotional module;
Described information popularization record comprises the popularization record of helping each other at least, can also comprise increment popularization record;
The described promotional module of helping each other is used for extracting the described information that needs popularization that described database is stored, and generates and represent the popularization of helping each other corresponding to information of promoting with described needs to link; The described promotional module of helping each other also is used for described the helping each other of analyzing and processing and promotes the HTTP request that link is introduced, generate to promote with described corresponding the helping each other of information that needs to promote and record and import in described database, extract and the popularization record analysis method of taking to help each other is calculated ordering score corresponding to each Search Results for described order module;
Described increment promotional module is used for providing rising in value promotes set meal, and generates the increment popularization set meal order corresponding with required promotion message when the information that the user is required popularization is bought described increment popularization set meal; Described increment promotional module also is used for the described increment of analyzing and processing and promotes the set meal order, generating with described needs increment corresponding to the information promoted to promote to record and import in described database, extracts and the popularization record analysis method of taking to rise in value is calculated ordering score corresponding to each Search Results for described order module.
4. search results ranking as claimed in claim 3 system, it is characterized in that, the described promotional module of helping each other further comprises helping each other promotes link module, HTTP request processing module and the popularization History Parser Module of helping each other, and described increment promotional module comprises that further set meal module, order processing module are promoted in increment and the popularization History Parser Module that rises in value;
The described popularization link module of helping each other is used for extracting the described information that needs popularization that described database is stored, and generates and represent the popularization of helping each other corresponding to information of promoting with described needs to link;
Described HTTP request processing module is used for described the helping each other of analyzing and processing and promotes the HTTP request that link is introduced;
Analysis processing result and old the help each other popularization record corresponding with the described information that need to promote of described database that the described popularization History Parser Module of helping each other is used for described HTTP request processing module is generated are integrated, generate new the help each other popularization record corresponding with the described information that need to promote, and import in described database and store, extract and take to help each other for described order module and promote the record analysis method and calculate ordering score corresponding to each Search Results;
Described increment is promoted the set meal module and is used for providing the popularization set meal that rises in value, and generates the increment popularization set meal order corresponding with required promotion message when set meal is promoted in the described increment of information purchase that the user is required popularization;
Described order processing module is used for that the set meal order is promoted in the described increment that described increment popularization set meal module generates and carries out analyzing and processing;
Analysis processing result and the old increment popularization record corresponding with the described information that need to promote of described database that described increment popularization History Parser Module is used for described order processing module is generated are integrated, generate the new increment corresponding with the described information that need to promote and promote record, and import in described database and store, extract and take to rise in value for described order module and promote the record analysis method and calculate ordering score corresponding to each Search Results.
5. search results ranking as claimed in claim 1 or 2 system, it is characterized in that, described information popularization module also is used for promoting the HTTP request that link introduces and generating the preference result page according to described helping each other, and the described information that needs to promote is represented remarkable position in described preference result page.
6. search results ranking as claimed in claim 1 or 2 system, is characterized in that, described information popularization module also is used for the click behavior of analyzing and processing netizen on search results pages, and analysis processing result is stored in described database.
7. promote the search result ordering method of function based on helping each other for one kind, it is characterized in that, said method comprising the steps of:
A. the user links by propagating the popularization of helping each other corresponding with its required promotion message on a large scale, for the associated search engine of search results ranking system is introduced flow, the HTTP request that the described popularization link of helping each other of information popularization module analysis processing is introduced, the generation information popularization corresponding with the described information that need to promote records and import in database to be stored;
B. the netizen inputs term and searches in described search engine, obtains corresponding Search Results;
C. order module is promoted record from described database information extraction, carries out multiple sort algorithm and obtains integrated ordered score value corresponding to each Search Results in this time search;
D. the integrated ordered score value corresponding according to each Search Results sorts to described Search Results, and final sequencing information is shown output.
8. search result ordering method as claimed in claim 7, is characterized in that, described information popularization module comprises the promotional module of helping each other at least, can also comprise the increment promotional module;
Described information popularization record comprises the popularization record of helping each other at least, can also comprise increment popularization record;
Described sort algorithm comprises independent sort algorithm and Algorithm for Final Priorities;
Described independent sort algorithm comprises helping each other at least promotes the record analysis method, can also comprise increment popularization record analysis method;
Described independent sort algorithm calculates ordering score corresponding to each Search Results independently of each other;
Described Algorithm for Final Priorities calculates integrated ordered score value corresponding to each Search Results according to ordering score corresponding to each Search Results that the described independent sort algorithm of execution obtains.
9. search result ordering method as claimed in claim 7 or 8, is characterized in that, described steps A further comprises at least one or both in steps A 1 and steps A 2, comprises at least steps A 1;
Described steps A 1:
A1. the user links by propagating the popularization of helping each other corresponding with its required promotion message on a large scale, for the associated search engine of search results ranking system is introduced flow, described the helping each other of the described promotional module analyzing and processing of helping each other promoted the HTTP request that link is introduced, generate to promote with described corresponding the helping each other of information that needs to promote and record and import in described database, extract and the popularization record analysis method of taking to help each other is calculated ordering score corresponding to each Search Results for described order module;
Described steps A 2:
A2. the described increment promotional module information that is required popularization the user is bought and to be generated when set meal is promoted in increment and described increment popularization set meal order corresponding to the information promoted that need, and the set meal order is promoted in described increment carried out analyzing and processing, generating with described needs increment corresponding to the information promoted to promote to record and import in described database, extracts and the popularization record analysis method of taking to rise in value is calculated ordering score corresponding to each Search Results for described order module;
Described step C further comprises:
C1. described order module is promoted record from described database information extraction, takes respectively each independent sort algorithm to calculate ordering score corresponding to each Search Results;
C2. described order module according to the result of calculation that described step C1 obtains, takes Algorithm for Final Priorities to calculate integrated ordered score value corresponding to each Search Results;
In described step C2, Algorithm for Final Priorities utilizes following formula to calculate:
S(K,Ri)?=?∑Si(j)*?Wj，?∑Wj?=1，(0<=Wj<=1)；
In described formula, K is term, Ri is Search Results, i is the numbering of Search Results, j is the numbering of independent sort algorithm, Si (j) carries out No. j ordering score corresponding to independent sort algorithm gained Search Results Ri when being illustrated in search term K, Wj represents the weight factor of No. j independent sort algorithm, the integrated ordered score value that during S (K, Ri) expression search term K, Search Results Ri has.
10. search result ordering method as claimed in claim 7 or 8, is characterized in that, described method further comprises at least one or both in step e and step F:
E. described order module stores described final sequencing information in described database into;
F. the click behavior on search results pages feeds back to the information popularization module and carries out analyzing and processing with the netizen, and analysis processing result is stored in described database;
Described steps A further comprises at least one or both in steps A 1 and steps A 2, comprises at least steps A 1;
Described steps A 1:
A1. the user links by propagating the popularization of helping each other corresponding with its required promotion message on a large scale, for the associated search engine of search results ranking system is introduced flow, described the helping each other of the described promotional module analyzing and processing of helping each other promoted the HTTP request that link is introduced, generate the preference result page, and the described information of need promoting is represented remarkable position in described preference result page, generate simultaneously to promote with corresponding the helping each other of the described information that need to promote and record and import in described database, extract and take to help each other for described order module and promote the record analysis method and calculate ordering score corresponding to each Search Results,
Described steps A 2:
A2. the described increment promotional module information that is required popularization the user is bought and to be generated when set meal is promoted in increment and described increment popularization set meal order corresponding to the information promoted that need, and the set meal order is promoted in described increment carried out analyzing and processing, generating with described needs increment corresponding to the information promoted to promote to record and import in described database, extracts and the popularization record analysis method of taking to rise in value is calculated ordering score corresponding to each Search Results for described order module.
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