CN105095464A - Method and device for detecting retrieval system - Google Patents

Method and device for detecting retrieval system Download PDF

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Publication number
CN105095464A
CN105095464A CN201510461502.9A CN201510461502A CN105095464A CN 105095464 A CN105095464 A CN 105095464A CN 201510461502 A CN201510461502 A CN 201510461502A CN 105095464 A CN105095464 A CN 105095464A
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result
retrieval
searching system
keyword
sequence
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CN105095464B (en
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方婧
雷明月
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Beijing Qihoo Technology Co Ltd
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Beijing Qihoo Technology Co Ltd
Qizhi Software Beijing Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2453Query optimisation

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  • Theoretical Computer Science (AREA)
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  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
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  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The invention discloses a method for detecting a retrieval system. The method comprises the steps of obtaining and comparing a first retrieved result and a second retrieved result which are retrieved respectively in a first retrieval system and a second retrieval system according to keyword samples; if the first retrieved result is not consistent with the second retrieved result, further comparing the second retrieved result and a reference retrieved result preset according to the keyword samples; and if the second retrieved result is not consistent with the reference retrieved result, correcting the second retrieval system according to the error type of the second retrieved result. According to the method, the retrieval system detection accuracy can be improved.

Description

A kind of detection method of searching system and device
Technical field
The present invention relates to communication technique field, particularly relate to a kind of searching system detection method and a kind of searching system pick-up unit.
Background technology
Along with the development of mechanics of communication, people rely on retrieval service to search information more and more, the requirement to retrieval service that retrieval service provider improves day by day in order to meet user, especially to the requirement of the accuracy aspect of result for retrieval, need often to carry out upgrading to searching system to upgrade, so that searching system can provide retrieval service more accurately.
After searching system upgrading is upgraded, whether the result for retrieval that the searching system after normally going detection upgrading by artificial mode provides relative to old searching system is more accurate, concrete operation is generally manually determine that several popular retrieval vocabulary or emphasis retrieval vocabulary are as keyword, the redaction searching system of this keyword after the searching system of legacy version and upgrading is utilized to retrieve respectively, the accuracy of the result for retrieval of artificial contrast's two systems.
But the method that existing searching system detects, whether the result for retrieval that the result for retrieval provided for redaction searching system provides than legacy version searching system is more accurate, depend on artificial subjective judgement, judged result is not objective, therefore result in the problem that accurately cannot judge that whether the redaction searching system after upgrading is optimised.
Summary of the invention
In view of the above problems, the present invention is proposed to provide a kind of overcoming the problems referred to above or the searching system detection method solved the problem at least in part and corresponding a kind of searching system pick-up unit.
According to one aspect of the present invention, provide a kind of searching system detection method, comprising:
Obtain and the first result for retrieval of retrieving in the first searching system and the second searching system respectively according to keyword sample of comparison and the second result for retrieval;
If described first result for retrieval and described second result for retrieval inconsistent, then further the second result for retrieval described in comparison with for the preset reference retrieval result of keyword sample;
If described second result for retrieval and described reference retrieval result inconsistent, then the second searching system according to the second result for retrieval type of error correction.
Alternatively, the step of the first result for retrieval of retrieving in the first searching system and the second searching system respectively according to keyword sample of described acquisition comparison and the second result for retrieval comprises:
The sequence of comparison target retrieval result in described first result for retrieval and the sequence in described second result for retrieval.
Alternatively, if described first result for retrieval and described second result for retrieval inconsistent, then further the second result for retrieval described in comparison comprises with the step of the reference retrieval result done for keyword sample:
If the sequence of described target retrieval result in described first result for retrieval is inconsistent with the sequence in described second result for retrieval, then the sequence of target retrieval result in described second result for retrieval described in comparison and the sequence in described reference retrieval result further.
Alternatively, if described second result for retrieval and described reference retrieval result inconsistent, then according to the second result for retrieval type of error correction, the step of the second searching system is specially:
If the sequence of described target retrieval result in described second result for retrieval is inconsistent with the sequence in described reference retrieval result, then the second searching system according to described second result for retrieval type of error correction.
Alternatively, if described second result for retrieval and described reference retrieval result inconsistent, then according to the second result for retrieval type of error correction, the step of the second searching system comprises:
Obtain the 3rd result for retrieval retrieved in the 3rd searching system according to described keyword sample;
Using described 3rd result for retrieval as described reference retrieval result.
Alternatively, if described second result for retrieval and described reference retrieval result inconsistent, according to the second result for retrieval type of error correction, the step of the second searching system comprises:
Judge described keyword sample respectively in described first searching system with whether consistent in the keyword categories information of described second searching system, if inconsistent, then described second result for retrieval type of error is identified as keyword classification mistake;
Upgrade the keyword categories information of described keyword sample in described second searching system.
Alternatively, if described second result for retrieval and described reference retrieval result inconsistent, according to the second result for retrieval type of error correction, the step of the second searching system comprises:
If whether target retrieval result is present in described first result for retrieval and is not present in described second result for retrieval, then described second result for retrieval type of error is identified as target retrieval result gaps and omissions mistake;
Add the corresponding relation of described target retrieval result and described keyword sample to described second searching system.
Alternatively, if described second result for retrieval and described reference retrieval result inconsistent, according to the second result for retrieval type of error correction, the step of the second searching system comprises:
Inconsistent with the sequence in described reference retrieval result according to the sequence of target retrieval result in described second result for retrieval, described second result for retrieval type of error is identified as result for retrieval misordering;
Using the sequence of described target retrieval result in described reference retrieval result as the sequence of described target retrieval result in described second result for retrieval.
Alternatively, described method also comprises:
The keyword categories information of described keyword sample is obtained by internet;
The keyword categories information got is corresponded to described keyword sample and adds described second searching system to.
Alternatively, described method also comprises:
Add up described keyword sample retrieval frequency and add detect priority tag accordingly.
According to a further aspect in the invention, provide a kind of searching system pick-up unit, comprising:
First result for retrieval comparing module, for obtaining and the first result for retrieval of retrieving in the first searching system and the second searching system respectively according to keyword sample of comparison and the second result for retrieval;
Reference retrieval result comparing module, if for described first result for retrieval and described second result for retrieval inconsistent, then further the second result for retrieval described in comparison with for the preset reference retrieval result of keyword sample;
Correcting module, if for described second result for retrieval and described reference retrieval result inconsistent, then the second searching system according to the second result for retrieval type of error correction.
Alternatively, described first result for retrieval comparing module comprises:
First result for retrieval sequence comparer module, for the sequence of comparison target retrieval result in described first result for retrieval and the sequence in described second result for retrieval.
Alternatively, described reference retrieval result comparing module comprises:
Reference retrieval sort result comparer module, if inconsistent with the sequence in described second result for retrieval for the sequence of target retrieval result in described first result for retrieval, then the sequence of target retrieval result in described second result for retrieval described in comparison and the sequence in described reference retrieval result further.
Alternatively, described correcting module specifically for:
If the sequence of described target retrieval result in described second result for retrieval is inconsistent with the sequence in described reference retrieval result, then the second searching system according to described second result for retrieval type of error correction.
Alternatively, described correcting module comprises:
3rd result for retrieval obtains submodule, for obtaining the 3rd result for retrieval retrieved in the 3rd searching system according to described keyword sample;
Reference retrieval bears fruit module, for using described 3rd result for retrieval as described reference retrieval result.
Alternatively, described correcting module comprises:
First judges submodule, judge described keyword sample respectively in described first searching system with whether consistent in the keyword categories information of described second searching system, if inconsistent, then described second result for retrieval type of error is identified as keyword classification mistake;
First revises submodule, for upgrading the keyword categories information of described keyword sample in described second searching system.
Alternatively, described correcting module comprises:
Second judges submodule, if be not present in described second result for retrieval for whether target retrieval result is present in described first result for retrieval, then described second result for retrieval type of error is identified as target retrieval result gaps and omissions mistake;
Second revises submodule, for adding the corresponding relation of described target retrieval result and described keyword sample to described second searching system.
Alternatively, described correcting module comprises:
3rd judges submodule, inconsistent with the sequence in described reference retrieval result according to the sequence of target retrieval result in described second result for retrieval, and described second result for retrieval type of error is identified as result for retrieval misordering;
3rd revises submodule, for using the sequence of described target retrieval result in described reference retrieval result as the sequence of described target retrieval result in described second result for retrieval.
Alternatively, described device also comprises:
Keyword categories data obtaining module, for obtaining the keyword categories information of described keyword sample by internet;
Add module, add described second searching system to for the keyword categories got information is corresponded to described keyword sample.
Alternatively, described device also comprises:
Label add module, for add up described keyword sample retrieval frequency and add detect priority tag accordingly.
Can by obtaining and the first result for retrieval of retrieving in the first searching system and the second searching system respectively according to keyword sample of comparison and the second result for retrieval according to searching system detection method of the present invention, if the first result for retrieval and the second result for retrieval inconsistent, then further comparison second result for retrieval with for the preset reference retrieval result of keyword sample, the method solving manual detection thus accurately cannot judge the problem whether the redaction searching system after upgrading is optimised, achieve and accurately judge the beneficial effect whether redaction searching system is optimised, improve the accuracy that searching system detects.
Secondly, if the second result for retrieval and reference retrieval result inconsistent, then the second searching system according to the second result for retrieval type of error correction, thus when redaction searching system exists mistake, can accurately identify that the type made a mistake and reason also correspondingly revise the searching system of redaction.
3rd, searching system detection method of the present invention does not need artificial participation, saves manpower and time.And relative to the manual detection method randomly drawed a limited number of keyword sample and carry out detecting, detection method of the present invention can detect for a large amount of search key samples, what improve that searching system detects is comprehensive.
Above-mentioned explanation is only the general introduction of technical solution of the present invention, in order to technological means of the present invention can be better understood, and can be implemented according to the content of instructions, and can become apparent, below especially exemplified by the specific embodiment of the present invention to allow above and other objects of the present invention, feature and advantage.
Accompanying drawing explanation
By reading hereafter detailed description of the preferred embodiment, various other advantage and benefit will become cheer and bright for those of ordinary skill in the art.Accompanying drawing only for illustrating the object of preferred implementation, and does not think limitation of the present invention.And in whole accompanying drawing, represent identical parts by identical reference symbol.In the accompanying drawings:
Fig. 1 shows the flow chart of steps according to a kind of searching system detection method of the present invention embodiment 1;
Fig. 2 shows the flow chart of steps according to a kind of searching system detection method of the present invention embodiment 2;
Fig. 3 shows the flow chart of steps according to a kind of searching system detection method of the present invention embodiment 3;
Fig. 4 shows the structured flowchart according to a kind of searching system pick-up unit of the present invention embodiment 1;
Fig. 5 shows the structured flowchart according to a kind of searching system pick-up unit of the present invention embodiment 2.
Embodiment
Below with reference to accompanying drawings exemplary embodiment of the present disclosure is described in more detail.Although show exemplary embodiment of the present disclosure in accompanying drawing, however should be appreciated that can realize the disclosure in a variety of manners and not should limit by the embodiment set forth here.On the contrary, provide these embodiments to be in order to more thoroughly the disclosure can be understood, and complete for the scope of the present disclosure can be conveyed to those skilled in the art.
With reference to Fig. 1, show the flow chart of steps according to a kind of searching system detection method of the present invention embodiment 1, specifically can comprise the steps:
Step 101, obtains and the first result for retrieval of retrieving in the first searching system and the second searching system respectively according to keyword sample of comparison and the second result for retrieval.
Above-mentioned first searching system and the second searching system can be respectively the redaction searching system after legacy version searching system and upgrading, are detected the retrieval performance of the new system after upgrading by the embodiment of the present invention.
In concrete realization, detect server and use certain keyword sample, retrieve in the first searching system and the second searching system respectively, the first searching system and the second searching system correspondingly return the first result for retrieval and the second result for retrieval.Detect server thus obtain the first result for retrieval and the second result for retrieval and process of comparing.
As the preferred exemplary of the embodiment of the present invention, the retrieval frequency of described keyword sample can also be added up and according to retrieval frequency, accordingly priority tag is detected to the interpolation of keyword sample.Detection server can add up the retrieval frequency for each keyword in searching system, and retrieval frequency can be that user uses certain keyword to carry out the number of times retrieved in searching system in preset time period.Detect server and add detection priority tag senior, intermediate, rudimentary accordingly according to retrieval frequency, the keyword with senior detection priority tag is preferentially tested when detecting, and the keyword do not detected it is pressed for time time with rudimentary detection priority tag, thus improve detection efficiency while ensure that Detection results.
It should be noted that, above-mentioned keyword sample can be multiple keyword sample be interrelated, such as, one of them keyword sample is " Peking University ", and related keyword sample can be " Beijing University ", " school district, Peking University Haidian ", " school district, Peking University Daxing " etc.Because in the user search scene of reality, user may use different keyword retrievals to retrieve same information, such as in the scene using certain place of map retrieval system retrieval, user may use keyword " Beijing University " to retrieve, also " Peking University " may be used to retrieve, and user real retrieval intention may be the location information searching school district, Peking University Haidian, above-mentioned multiple inter-related keyword sample is utilized to retrieve, even if user only employs " Beijing University " as keyword, also can retrieve the location information of school district, Peking University Haidian.Therefore, the embodiment of the present invention, when carrying out the detection of searching system, utilizes multiple related keyword sample to detect, and avoids the keyword omitted certain user and may use, thus more fully can detect searching system.
Step 102, if described first result for retrieval and described second result for retrieval inconsistent, then further the second result for retrieval described in comparison with for the preset reference retrieval result of keyword sample.
Result for retrieval can include one or more target retrieval result preset.
Above-mentioned result for retrieval is inconsistent, can comprise multiple inconsistent situation, such as, can be that certain target retrieval result is present in the first result for retrieval, and not be present in the second result for retrieval; Also may be that the target retrieval that the first result for retrieval and the second result for retrieval comprise comes to the same thing, but inconsistent to the sequence of target retrieval result.Certainly, can there is the situation that other result for retrieval is inconsistent in practical operation, the embodiment of the present invention is not restricted this.
The above-mentioned reference retrieval result preset for keyword sample, it can be the default reference retrieval result of of sorting for the significance level of certain each target retrieval result of keyword sample evidence, such as, keyword for " Beijing University " carries out the retrieval of location information, and above-mentioned reference retrieval result can be " Peking University ", " school district, Peking University Haidian ", " school district, Peking University Daxing ", " hotel of Peking University ", " affiliated middle school of Peking University ", also can be the reference retrieval result generated by the feedback of collection user, such as, getting " Peking University " when collecting multiple user, " school district, Peking University Haidian ", " school district, Peking University Daxing ", " hotel of Peking University ", after the reference retrieval result of " affiliated middle school of Peking University " each location information, click the feedback of " school district, Peking University Haidian ", the sequence of " school district, Peking University Haidian " can be raised by above-mentioned reference retrieval result, be updated to " school district, Peking University Haidian ", " Peking University ", " school district, Peking University Daxing ", " hotel of Peking University ", " affiliated middle school of Peking University ".
In practical operation, first result for retrieval and the second result for retrieval inconsistent, namely the result for retrieval that provides of redaction searching system after legacy version searching system and upgrading is inconsistent, likely that redaction searching system is optimised, also may be that certain function that escalation process has influence on searching system is normally run, cause redaction searching system to be deteriorated.By the second result for retrieval and preset reference retrieval result being compared, the good and bad situation of the redaction searching system after upgrading can be judged.
Step 103, if described second result for retrieval and described reference retrieval result inconsistent, then the second searching system according to the second result for retrieval type of error correction.
If the second result for retrieval and reference retrieval result inconsistent, can illustrate that the searching system of redaction exists mistake, and different inconsistent situations may be caused by different type of errors, according to the inconsistent situation of the second result for retrieval and the first result for retrieval, reference retrieval result, correspondingly can identify type of error, and correspondingly revise the second searching system.Such as, when the first result for retrieval and reference retrieval result all contain certain target retrieval result, and the second result for retrieval does not comprise this target retrieval result, there is the reason of this situation this target retrieval result that may be the second searching system gaps and omissions, thus this target retrieval result cannot be retrieved according to above-mentioned keyword sample, therefore its type of error can be identified as target retrieval result gaps and omissions mistake, and in the second searching system, add this target retrieval result, thus have modified the mistake of the second searching system.
As the preferred exemplary of the embodiment of the present invention, described step 103 can comprise following sub-step:
Sub-step S11, obtains the 3rd result for retrieval retrieved in the 3rd searching system according to described keyword sample.
Sub-step S12, using described 3rd result for retrieval as described reference retrieval result.
In concrete realization, when the first result for retrieval and the second result for retrieval inconsistent, identical keyword can be used to retrieve in the 3rd searching system being relatively independent of the first searching system and the second searching system, and obtain the 3rd result for retrieval that the 3rd searching system returns.Because the 3rd searching system is independent of the first searching system and the second searching system, the impact of system upgrade can not be subject to, so using the result for retrieval of the 3rd searching system as reference result for retrieval, whether the searching system that can detect more accurately after upgrading is optimised.
Can by obtaining and the first result for retrieval of retrieving in the first searching system and the second searching system respectively according to keyword sample of comparison and the second result for retrieval according to searching system detection method of the present invention, if the first result for retrieval and the second result for retrieval inconsistent, then further comparison second result for retrieval with for the preset reference retrieval result of keyword sample, the method solving manual detection thus accurately cannot judge the problem whether the redaction searching system after upgrading is optimised, achieve and accurately judge the beneficial effect whether redaction searching system is optimised, improve the accuracy that searching system detects.
Secondly, if the second result for retrieval and reference retrieval result inconsistent, then the second searching system according to the second result for retrieval type of error correction, thus when redaction searching system exists mistake, can accurately identify that the type made a mistake and reason also correspondingly revise the searching system of redaction.
3rd, searching system detection method of the present invention does not need artificial participation, saves manpower and time.And relative to the manual detection method randomly drawed a limited number of keyword sample and carry out detecting, detection method of the present invention can detect for a large amount of search key samples, what improve that searching system detects is comprehensive.
With reference to Fig. 2, show the flow chart of steps according to a kind of searching system detection method of the present invention embodiment 2, specifically can comprise the steps:
Step 201, the sequence of comparison target retrieval result in described first result for retrieval and the sequence in described second result for retrieval.
Result for retrieval can include one or more target retrieval result, when result for retrieval comprises multiple target retrieval result, and the process that searching system also can sort to target retrieval result.
In the retrieve application scene of reality, user is after getting the result for retrieval comprising multiple target retrieval result, certain target retrieval result can be clicked further to obtain more detailed information, the target retrieval result meeting user's request is come the prostatitis at result for retrieval, user can be made to obtain relevant information more easily.Therefore, the mode of searching system sequence can be sort according to matching degree priority rule, namely the matching degree of keyword and target retrieval result is higher, sort more forward, the matching degree of such as keyword " hotel of Beijing University " and " hotel of Peking University " is higher than the matching degree with " Peking University ", and therefore the sequence in " hotel of Peking University " is prior to " Peking University "; Also can be sort according to significance level priority rule, namely the significance level of target retrieval result in target retrieval result of the same type is higher, sort more forward, such as keyword " tourism of Beijing sight spot ", the significance level of 5A level tourist attractions " the Forbidden City " higher than 4A level tourist attractions " Safari Park, Daxing District ", therefore the Forbidden City " sequence prior to " Safari Park, Daxing District ".
Searching system uses different priority rules to sort, and may cause target retrieval result in result for retrieval, have different sequences.
As the preferred exemplary of the embodiment of the present invention, can sequence first in a comparison first result for retrieval and the second result for retrieval or first three the target retrieval result of sorting, because in the retrieval scene of reality, user only can pay close attention to several forward target retrieval results of sequence usually, detect the forward target retrieval result of sequence targetedly, the efficiency that searching system detects can be improved.
Step 202, if the sequence of target retrieval result in described first result for retrieval is inconsistent with the sequence in described second result for retrieval, then the sequence of target retrieval result in described second result for retrieval described in comparison and the sequence in described reference retrieval result further.
Step 203, if the sequence of described target retrieval result in described second result for retrieval is inconsistent with the sequence in described reference retrieval result, then the second searching system according to described second result for retrieval type of error correction.
Can the sequence of comparison target retrieval result in the first result for retrieval and the sequence in the second result for retrieval according to searching system detection method of the present invention, if inconsistent, the sequence of comparison target retrieval result in the second result for retrieval and the sequence in reference retrieval result further, thus more fully detect searching system.
With reference to Fig. 3, show the flow chart of steps according to a kind of searching system detection method of the present invention embodiment 3, specifically can comprise the steps:
Step 301, obtains and the first result for retrieval of retrieving in the first searching system and the second searching system respectively according to keyword sample of comparison and the second result for retrieval.
Step 302, if described first result for retrieval and described second result for retrieval inconsistent, then further the second result for retrieval described in comparison with for the preset reference retrieval result of keyword sample.
Step 303, if described second result for retrieval and described reference retrieval result inconsistent, then the second searching system according to the second result for retrieval type of error correction.
As the preferred exemplary one of the embodiment of the present invention, described step 303 can comprise following sub-step:
Sub-step S21, judge described keyword sample respectively in described first searching system with whether consistent in the keyword categories information of described second searching system, if inconsistent, then described second result for retrieval type of error is identified as keyword classification mistake.
Sub-step S22, upgrades the keyword categories information of described keyword sample in described second searching system.
In concrete realization, while obtaining the first result for retrieval and the second result for retrieval retrieved in the first searching system and the second searching system respectively according to keyword sample, the classification information of keyword sample can be obtained.Usual searching system can be classified to keyword, and such as, " Beijing University ", " Peking University " " school district, Peking University Haidian ", " school district, Peking University Daxing " are categorized as " university's class ", and " hotel of Peking University " is categorized as " hotel's class ".User is when using certain keyword to be retrieved by searching system, searching system can be resolved keyword and be determined the classification of this keyword, retrieve according to the classification of keyword and belong to other target retrieval result of same class, such as keyword is " Beijing University ", searching system explains the classification of this keyword for " university's class ", can comprise the target retrieval result such as " Peking University " " school district, Peking University Haidian ", " school district, Peking University Daxing " belonging to " university's class " in result for retrieval.
When the first result for retrieval and the second result for retrieval inconsistent, and keyword sample is in the first searching system and inconsistent in the keyword categories information of the second searching system, can illustrate that the second searching system exists keyword classification mistake for the process of this keyword, for keyword classification mistake, the second searching system can be controlled and again this keyword resolved and redefine the classification of this keyword.Such as, redaction searching system is to the parse error of " Beijing University ", be categorized as " hotel's class ", cause result for retrieval to contain belonging to " hotel of Peking University " of " hotel's class ", detection system controls the second searching system and again resolves keyword " Beijing University ", thus have modified the result for retrieval of the second searching system for keyword " Beijing University ".
Can by judging in the first searching system and the keyword categories information in the second searching system according to searching system detection method of the present invention, and the correspondingly more keyword categories information of new keywords sample in the second searching system, can identify exactly and revise the keyword classification mistake of searching system, improve the accuracy that searching system detects.
As the preferred implementation of the embodiment of the present invention, the keyword categories information of described keyword sample can also be obtained by internet, the keyword categories information got be corresponded to described keyword sample and adds described second searching system to.Such as, the webpage of Baidupedia entry " Peking University " has the classification information of " well-known university " " 985 " " 211 " of this entry etc., detect the relevant classification information that server obtains this webpage, and add corresponding to " Peking University " classification information got from this webpage to second searching system.
As the preferred exemplary two of the embodiment of the present invention, described step 303 can comprise following sub-step:
Sub-step S31, if whether target retrieval result is present in described first result for retrieval and is not present in described second result for retrieval, is then identified as target retrieval result gaps and omissions mistake by described second result for retrieval type of error.
Sub-step S32, adds the corresponding relation of described target retrieval result and described keyword sample to described second searching system.
In concrete realization, after obtaining the first result for retrieval and the second result for retrieval retrieved in the first searching system and the second searching system respectively according to keyword sample, can judge whether some or multiple target retrieval result is present in the first result for retrieval and is not present in the second result for retrieval, if then this inconsistent situation can be identified as target retrieval result gaps and omissions mistake, cause the reason of target retrieval result gaps and omissions mistake can be the corresponding relation of the target retrieval result that there is not described keyword sample and gaps and omissions in the second searching system, therefore, add the corresponding relation of target retrieval result and described keyword sample to second searching system.Such as keyword is " Beijing University ", first result for retrieval comprises " school district, Peking University Daxing ", and the second result for retrieval does not comprise " school district, Peking University Daxing ", its reason is the gaps and omissions corresponding relation of " Beijing University " and " Peking University goes in in a big way school district " in the second searching system, add this corresponding relation to second searching system, thus have modified the result for retrieval of the second searching system for keyword " Beijing University ".
Whether can be present in the first result for retrieval by comparison target retrieval result according to searching system detection method of the present invention and not be present in the second result for retrieval, and correspondingly add the corresponding relation of target retrieval result and keyword sample to described second searching system, can identify exactly and revise the target retrieval result gaps and omissions mistake of searching system, improve the accuracy that searching system detects.
As the preferred exemplary three of the embodiment of the present invention, described step 303 can comprise following sub-step:
Sub-step S41, inconsistent with the sequence in described reference retrieval result according to the sequence of target retrieval result in described second result for retrieval, described second result for retrieval type of error is identified as result for retrieval misordering.
Sub-step S42, using the sequence of described target retrieval result in described reference retrieval result as the sequence of described target retrieval result in described second result for retrieval.
After searching system is upgraded, may occur that legacy version searching system and redaction searching system go out to have the result for retrieval of different sequence for same keyword sample searching, can be that some target retrieval results are inconsistent with the sequence in the second result for retrieval in the sequence of the first result for retrieval, also can be that the sequence of multiple target retrieval results in both is inconsistent.Now further comparison second result for retrieval and reference retrieval result, if both ranking results are also inconsistent, there is result for retrieval misordering in the redaction searching system after can identifying upgrading accordingly.For result for retrieval misordering, can using the sequence of target retrieval result in reference retrieval result as the sequence of described target retrieval result in described second result for retrieval.
Such as, with in " Beijing University " detection for keyword sample, in first result for retrieval, sequence first is " Peking University " this target retrieval result, and " Peking University " in the second result for retrieval is sorted the 5th by the second searching system, and target retrieval result " Peking University " is come first by reference retrieval result, it can be said that bright second searching system exists mistake for the result for retrieval sequence process of keyword " Beijing University ", result in the misordering of " Peking University " this target retrieval result, now " Peking University " can be sorted in the result for retrieval retrieved according to keyword sample " Beijing University " first target retrieval result, thus have modified the result for retrieval of the second searching system for keyword " Beijing University ".
Can by the sequence of comparison target retrieval result in the first result for retrieval and the sequence in the second result for retrieval and in reference retrieval result according to searching system detection method of the present invention, identify the result for retrieval misordering of the second result for retrieval, and correspondingly using the sequence of target retrieval result in reference retrieval result as the sequence of target retrieval result in the second result for retrieval, when to exist in sequence wrong for redaction searching system, can identify exactly and revise the misordering of searching system, improve the accuracy that searching system detects.
For embodiment of the method, in order to simple description, therefore it is all expressed as a series of combination of actions, but those skilled in the art should know, the embodiment of the present invention is not by the restriction of described sequence of movement, because according to the embodiment of the present invention, some step can adopt other orders or carry out simultaneously.Secondly, those skilled in the art also should know, the embodiment described in instructions all belongs to preferred embodiment, and involved action might not be that the embodiment of the present invention is necessary.
With reference to Fig. 4, show the structured flowchart according to a kind of searching system pick-up unit of the present invention embodiment 1, specifically can comprise as lower module:
First result for retrieval comparing module 401, for obtaining and the first result for retrieval of retrieving in the first searching system and the second searching system respectively according to keyword sample of comparison and the second result for retrieval.
As the preferred exemplary of the embodiment of the present invention, described first result for retrieval comparing module 401 can comprise following submodule:
One result for retrieval sequence comparer module, for the sequence of comparison target retrieval result in described first result for retrieval and the sequence in described second result for retrieval.
Reference retrieval result comparing module 402, if for described first result for retrieval and described second result for retrieval inconsistent, then further the second result for retrieval described in comparison with for the preset reference retrieval result of keyword sample.
As the preferred exemplary of the embodiment of the present invention, described reference retrieval result comparing module 402 can comprise following submodule:
Reference retrieval sort result comparer module, if inconsistent with the sequence in described second result for retrieval for the sequence of target retrieval result in described first result for retrieval, then the sequence of target retrieval result in described second result for retrieval described in comparison and the sequence in described reference retrieval result further.
Correcting module 403, if for described second result for retrieval and described reference retrieval result inconsistent, then the second searching system according to the second result for retrieval type of error correction.
As the preferred exemplary of the embodiment of the present invention, described correcting module 403 can be specifically for:
If the sequence of described target retrieval result in described second result for retrieval is inconsistent with the sequence in described reference retrieval result, then the second searching system according to described second result for retrieval type of error correction.
As the preferred exemplary one of the embodiment of the present invention, described correcting module 403 can comprise following submodule:
3rd result for retrieval obtains submodule, for obtaining the 3rd result for retrieval retrieved in the 3rd searching system according to described keyword sample;
Reference retrieval bears fruit module, for using described 3rd result for retrieval as described reference retrieval result.
Can by obtaining and the first result for retrieval of retrieving in the first searching system and the second searching system respectively according to keyword sample of comparison and the second result for retrieval according to searching system pick-up unit of the present invention, if the first result for retrieval and the second result for retrieval inconsistent, then further comparison second result for retrieval with for the preset reference retrieval result of keyword sample, the method solving manual detection thus accurately cannot judge the problem whether the redaction searching system after upgrading is optimised, achieve and accurately judge the beneficial effect whether redaction searching system is optimised, improve the accuracy that searching system detects.
Secondly, if the second result for retrieval and reference retrieval result inconsistent, then the second searching system according to the second result for retrieval type of error correction, thus when redaction searching system exists mistake, can accurately identify that the type made a mistake and reason also correspondingly revise the searching system of redaction.
3rd, searching system detection method of the present invention does not need artificial participation, saves manpower and time.And relative to the manual detection method randomly drawed a limited number of keyword sample and carry out detecting, detection method of the present invention can detect for a large amount of search key samples, what improve that searching system detects is comprehensive
With reference to Fig. 5, show the structured flowchart according to a kind of searching system pick-up unit of the present invention embodiment 2, specifically can comprise as lower module:
First result for retrieval comparing module 501, for obtaining and the first result for retrieval of retrieving in the first searching system and the second searching system respectively according to keyword sample of comparison and the second result for retrieval.
Reference retrieval result comparing module 502, if for described first result for retrieval and described second result for retrieval inconsistent, then further the second result for retrieval described in comparison with for the preset reference retrieval result of keyword sample.
Correcting module 503, if for described second result for retrieval and described reference retrieval result inconsistent, then the second searching system according to the second result for retrieval type of error correction.
As the preferred exemplary one of the embodiment of the present invention, described correcting module 503 can comprise following submodule:
First judges submodule, judge described keyword sample respectively in described first searching system with whether consistent in the keyword categories information of described second searching system, if inconsistent, then described second result for retrieval type of error is identified as keyword classification mistake.
First revises submodule, for upgrading the keyword categories information of described keyword sample in described second searching system.
Can by judging in the first searching system and the keyword categories information in the second searching system according to searching system pick-up unit of the present invention, and the correspondingly more keyword categories information of new keywords sample in the second searching system, can identify exactly and revise the keyword classification mistake of searching system, improve the accuracy that searching system detects.
As the preferred exemplary two of the embodiment of the present invention, described correcting module 503 can comprise following submodule:
Second judges submodule, if be not present in described second result for retrieval for whether target retrieval result is present in described first result for retrieval, then described second result for retrieval type of error is identified as target retrieval result gaps and omissions mistake;
Second revises submodule, for adding the corresponding relation of described target retrieval result and described keyword sample to described second searching system.
Whether can be present in the first result for retrieval by comparison target retrieval result according to searching system pick-up unit of the present invention and not be present in the second result for retrieval, and correspondingly add the corresponding relation of target retrieval result and keyword sample to described second searching system, can identify exactly and revise the target retrieval result gaps and omissions mistake of searching system, improve the accuracy that searching system detects.
As the preferred exemplary three of the embodiment of the present invention, described correcting module 503 can comprise following submodule:
3rd judges submodule, inconsistent with the sequence in described reference retrieval result according to the sequence of target retrieval result in described second result for retrieval, and described second result for retrieval type of error is identified as result for retrieval misordering;
3rd revises submodule, for using the sequence of described target retrieval result in described reference retrieval result as the sequence of described target retrieval result in described second result for retrieval
Can by the sequence of comparison target retrieval result in the first result for retrieval and the sequence in the second result for retrieval and in reference retrieval result according to searching system pick-up unit of the present invention, identify the result for retrieval misordering of the second result for retrieval, and correspondingly using the sequence of target retrieval result in reference retrieval result as the sequence of target retrieval result in the second result for retrieval, when to exist in sequence wrong for redaction searching system, can identify exactly and revise the misordering of searching system, improve the accuracy that searching system detects.
Keyword categories data obtaining module 504, for obtaining the keyword categories information of described keyword sample by internet.
Add module 505, add described second searching system to for the keyword categories got information is corresponded to described keyword sample.
Label add module 506, for add up described keyword sample retrieval frequency and add detect priority tag accordingly.
For device embodiment, due to itself and embodiment of the method basic simlarity, so description is fairly simple, relevant part illustrates see the part of embodiment of the method.
Intrinsic not relevant to any certain computer, virtual system or miscellaneous equipment with display at this algorithm provided.Various general-purpose system also can with use based on together with this teaching.According to description above, the structure constructed required by this type systematic is apparent.In addition, the present invention is not also for any certain programmed language.It should be understood that and various programming language can be utilized to realize content of the present invention described here, and the description done language-specific is above to disclose preferred forms of the present invention.
In instructions provided herein, describe a large amount of detail.But can understand, embodiments of the invention can be put into practice when not having these details.In some instances, be not shown specifically known method, structure and technology, so that not fuzzy understanding of this description.
Similarly, be to be understood that, in order to simplify the disclosure and to help to understand in each inventive aspect one or more, in the description above to exemplary embodiment of the present invention, each feature of the present invention is grouped together in single embodiment, figure or the description to it sometimes.But, the method for the disclosure should be construed to the following intention of reflection: namely the present invention for required protection requires feature more more than the feature clearly recorded in each claim.Or rather, as claims below reflect, all features of disclosed single embodiment before inventive aspect is to be less than.Therefore, the claims following embodiment are incorporated to this embodiment thus clearly, and wherein each claim itself is as independent embodiment of the present invention.
Those skilled in the art are appreciated that and adaptively can change the module in the equipment in embodiment and they are arranged in one or more equipment different from this embodiment.Module in embodiment or unit or assembly can be combined into a module or unit or assembly, and multiple submodule or subelement or sub-component can be put them in addition.Except at least some in such feature and/or process or unit be mutually repel except, any combination can be adopted to combine all processes of all features disclosed in this instructions (comprising adjoint claim, summary and accompanying drawing) and so disclosed any method or equipment or unit.Unless expressly stated otherwise, each feature disclosed in this instructions (comprising adjoint claim, summary and accompanying drawing) can by providing identical, alternative features that is equivalent or similar object replaces.
In addition, those skilled in the art can understand, although embodiments more described herein to comprise in other embodiment some included feature instead of further feature, the combination of the feature of different embodiment means and to be within scope of the present invention and to form different embodiments.Such as, in the following claims, the one of any of embodiment required for protection can use with arbitrary array mode.
All parts embodiment of the present invention with hardware implementing, or can realize with the software module run on one or more processor, or realizes with their combination.It will be understood by those of skill in the art that the some or all functions that microprocessor or digital signal processor (DSP) can be used in practice to realize according to the some or all parts in the detection method of the searching system of the embodiment of the present invention and appliance arrangement.The present invention can also be embodied as part or all equipment for performing method as described herein or device program (such as, computer program and computer program).Realizing program of the present invention and can store on a computer-readable medium like this, or the form of one or more signal can be had.Such signal can be downloaded from internet website and obtain, or provides on carrier signal, or provides with any other form.
The present invention will be described instead of limit the invention to it should be noted above-described embodiment, and those skilled in the art can design alternative embodiment when not departing from the scope of claims.In the claims, any reference symbol between bracket should be configured to limitations on claims.Word " comprises " not to be got rid of existence and does not arrange element in the claims or step.Word "a" or "an" before being positioned at element is not got rid of and be there is multiple such element.The present invention can by means of including the hardware of some different elements and realizing by means of the computing machine of suitably programming.In the unit claim listing some devices, several in these devices can be carry out imbody by same hardware branch.Word first, second and third-class use do not represent any order.Can be title by these word explanations.
The invention discloses the detection method of A1, a kind of searching system, comprising:
Obtain and the first result for retrieval of retrieving in the first searching system and the second searching system respectively according to keyword sample of comparison and the second result for retrieval;
If described first result for retrieval and described second result for retrieval inconsistent, then further the second result for retrieval described in comparison with for the preset reference retrieval result of keyword sample;
If described second result for retrieval and described reference retrieval result inconsistent, then the second searching system according to the second result for retrieval type of error correction.
A2, method as described in claim A1, the step of the first result for retrieval that described acquisition comparison retrieve in the first searching system and the second searching system respectively according to keyword sample and the second result for retrieval comprises:
The sequence of comparison target retrieval result in described first result for retrieval and the sequence in described second result for retrieval.
A3, method as described in claim A2, if described first result for retrieval and described second result for retrieval inconsistent, then the second result for retrieval described in comparison comprises with the step of the reference retrieval result done for keyword sample further:
If the sequence of described target retrieval result in described first result for retrieval is inconsistent with the sequence in described second result for retrieval, then the sequence of target retrieval result in described second result for retrieval described in comparison and the sequence in described reference retrieval result further.
A4, method as described in claim A2, if described second result for retrieval and described reference retrieval result inconsistent, then according to the second result for retrieval type of error correction, the step of the second searching system is specially:
If the sequence of described target retrieval result in described second result for retrieval is inconsistent with the sequence in described reference retrieval result, then the second searching system according to described second result for retrieval type of error correction.
A5, method as described in claim A1, if described second result for retrieval and described reference retrieval result inconsistent, then according to the second result for retrieval type of error correction, the step of the second searching system comprises:
Obtain the 3rd result for retrieval retrieved in the 3rd searching system according to described keyword sample;
Using described 3rd result for retrieval as described reference retrieval result.
A6, method as described in claim A1, if described second result for retrieval and described reference retrieval result inconsistent, according to the second result for retrieval type of error correction, the step of the second searching system comprises:
Judge described keyword sample respectively in described first searching system with whether consistent in the keyword categories information of described second searching system, if inconsistent, then described second result for retrieval type of error is identified as keyword classification mistake;
Upgrade the keyword categories information of described keyword sample in described second searching system.
A7, method as described in claim A1, if described second result for retrieval and described reference retrieval result inconsistent, according to the second result for retrieval type of error correction, the step of the second searching system comprises:
If whether target retrieval result is present in described first result for retrieval and is not present in described second result for retrieval, then described second result for retrieval type of error is identified as target retrieval result gaps and omissions mistake;
Add the corresponding relation of described target retrieval result and described keyword sample to described second searching system.
A8, method as described in claim A1, if described second result for retrieval and described reference retrieval result inconsistent, according to the second result for retrieval type of error correction, the step of the second searching system comprises:
Inconsistent with the sequence in described reference retrieval result according to the sequence of target retrieval result in described second result for retrieval, described second result for retrieval type of error is identified as result for retrieval misordering;
Using the sequence of described target retrieval result in described reference retrieval result as the sequence of described target retrieval result in described second result for retrieval.
A9, method as described in claim A6, described method also comprises:
The keyword categories information of described keyword sample is obtained by internet;
The keyword categories information got is corresponded to described keyword sample and adds described second searching system to.
A10, method as described in claim A1, described method also comprises:
Add up described keyword sample retrieval frequency and add detect priority tag accordingly.
The invention also discloses the pick-up unit of B11, a kind of searching system, comprising:
First result for retrieval comparing module, for obtaining and the first result for retrieval of retrieving in the first searching system and the second searching system respectively according to keyword sample of comparison and the second result for retrieval;
Reference retrieval result comparing module, if for described first result for retrieval and described second result for retrieval inconsistent, then further the second result for retrieval described in comparison with for the preset reference retrieval result of keyword sample;
Correcting module, if for described second result for retrieval and described reference retrieval result inconsistent, then the second searching system according to the second result for retrieval type of error correction.
B12, device as described in claim B11, described first result for retrieval comparing module comprises:
First result for retrieval sequence comparer module, for the sequence of comparison target retrieval result in described first result for retrieval and the sequence in described second result for retrieval.
B13, device as described in claim B12, described reference retrieval result comparing module comprises:
Reference retrieval sort result comparer module, if inconsistent with the sequence in described second result for retrieval for the sequence of target retrieval result in described first result for retrieval, then the sequence of target retrieval result in described second result for retrieval described in comparison and the sequence in described reference retrieval result further.
B14, device as described in claim B12, described correcting module specifically for:
If the sequence of described target retrieval result in described second result for retrieval is inconsistent with the sequence in described reference retrieval result, then the second searching system according to described second result for retrieval type of error correction.
B15, device as described in claim B11, described correcting module comprises:
3rd result for retrieval obtains submodule, for obtaining the 3rd result for retrieval retrieved in the 3rd searching system according to described keyword sample;
Reference retrieval bears fruit module, for using described 3rd result for retrieval as described reference retrieval result.
B16, device as described in claim B11, described correcting module comprises:
First judges submodule, judge described keyword sample respectively in described first searching system with whether consistent in the keyword categories information of described second searching system, if inconsistent, then described second result for retrieval type of error is identified as keyword classification mistake;
First revises submodule, for upgrading the keyword categories information of described keyword sample in described second searching system.
B17, device as described in claim B11, described correcting module comprises:
Second judges submodule, if be not present in described second result for retrieval for whether target retrieval result is present in described first result for retrieval, then described second result for retrieval type of error is identified as target retrieval result gaps and omissions mistake;
Second revises submodule, for adding the corresponding relation of described target retrieval result and described keyword sample to described second searching system.
B18, device as described in claim B11, described correcting module comprises:
3rd judges submodule, inconsistent with the sequence in described reference retrieval result according to the sequence of target retrieval result in described second result for retrieval, and described second result for retrieval type of error is identified as result for retrieval misordering;
3rd revises submodule, for using the sequence of described target retrieval result in described reference retrieval result as the sequence of described target retrieval result in described second result for retrieval.
B19, device as described in claim B16, described device also comprises:
Keyword categories data obtaining module, for obtaining the keyword categories information of described keyword sample by internet;
Add module, add described second searching system to for the keyword categories got information is corresponded to described keyword sample.
B20, device as described in claim B11, described device also comprises:
Label add module, for add up described keyword sample retrieval frequency and add detect priority tag accordingly.

Claims (10)

1. a detection method for searching system, comprising:
Obtain and the first result for retrieval of retrieving in the first searching system and the second searching system respectively according to keyword sample of comparison and the second result for retrieval;
If described first result for retrieval and described second result for retrieval inconsistent, then further the second result for retrieval described in comparison with for the preset reference retrieval result of keyword sample;
If described second result for retrieval and described reference retrieval result inconsistent, then the second searching system according to the second result for retrieval type of error correction.
2. the method for claim 1, wherein the step of the first result for retrieval of retrieving in the first searching system and the second searching system respectively according to keyword sample of described acquisition comparison and the second result for retrieval comprises:
The sequence of comparison target retrieval result in described first result for retrieval and the sequence in described second result for retrieval.
3. method as claimed in claim 2, wherein, if described first result for retrieval is inconsistent with described second result for retrieval, then the second result for retrieval described in comparison and the step of reference retrieval result done for keyword sample comprise further:
If the sequence of described target retrieval result in described first result for retrieval is inconsistent with the sequence in described second result for retrieval, then the sequence of target retrieval result in described second result for retrieval described in comparison and the sequence in described reference retrieval result further.
4. method as claimed in claim 2, wherein, if described second result for retrieval and described reference retrieval result inconsistent, then according to the second result for retrieval type of error correction, the step of the second searching system is specially:
If the sequence of described target retrieval result in described second result for retrieval is inconsistent with the sequence in described reference retrieval result, then the second searching system according to described second result for retrieval type of error correction.
If the method for claim 1, wherein described second result for retrieval and described reference retrieval result inconsistent, then according to the second result for retrieval type of error correction, the step of the second searching system comprises:
Obtain the 3rd result for retrieval retrieved in the 3rd searching system according to described keyword sample;
Using described 3rd result for retrieval as described reference retrieval result.
If the method for claim 1, wherein described second result for retrieval and described reference retrieval result inconsistent, according to the second result for retrieval type of error correction, the step of the second searching system comprises:
Judge described keyword sample respectively in described first searching system with whether consistent in the keyword categories information of described second searching system, if inconsistent, then described second result for retrieval type of error is identified as keyword classification mistake;
Upgrade the keyword categories information of described keyword sample in described second searching system.
If the method for claim 1, wherein described second result for retrieval and described reference retrieval result inconsistent, according to the second result for retrieval type of error correction, the step of the second searching system comprises:
If whether target retrieval result is present in described first result for retrieval and is not present in described second result for retrieval, then described second result for retrieval type of error is identified as target retrieval result gaps and omissions mistake;
Add the corresponding relation of described target retrieval result and described keyword sample to described second searching system.
If the method for claim 1, wherein described second result for retrieval and described reference retrieval result inconsistent, according to the second result for retrieval type of error correction, the step of the second searching system comprises:
Inconsistent with the sequence in described reference retrieval result according to the sequence of target retrieval result in described second result for retrieval, described second result for retrieval type of error is identified as result for retrieval misordering;
Using the sequence of described target retrieval result in described reference retrieval result as the sequence of described target retrieval result in described second result for retrieval.
9. method as claimed in claim 6, wherein, described method also comprises:
The keyword categories information of described keyword sample is obtained by internet;
The keyword categories information got is corresponded to described keyword sample and adds described second searching system to.
10. a pick-up unit for searching system, comprising:
First result for retrieval comparing module, for obtaining and the first result for retrieval of retrieving in the first searching system and the second searching system respectively according to keyword sample of comparison and the second result for retrieval;
Reference retrieval result comparing module, if for described first result for retrieval and described second result for retrieval inconsistent, then further the second result for retrieval described in comparison with for the preset reference retrieval result of keyword sample;
Correcting module, if for described second result for retrieval and described reference retrieval result inconsistent, then the second searching system according to the second result for retrieval type of error correction.
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