CN104008170A - Search result providing method and device - Google Patents

Search result providing method and device Download PDF

Info

Publication number
CN104008170A
CN104008170A CN201410241866.1A CN201410241866A CN104008170A CN 104008170 A CN104008170 A CN 104008170A CN 201410241866 A CN201410241866 A CN 201410241866A CN 104008170 A CN104008170 A CN 104008170A
Authority
CN
China
Prior art keywords
search results
user
information dimension
optimal weights
place value
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201410241866.1A
Other languages
Chinese (zh)
Other versions
CN104008170B (en
Inventor
黄明辉
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangzhou Cheetah Network Technology Co ltd
Original Assignee
Kingsoft Guangzhou Network Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Kingsoft Guangzhou Network Technology Co Ltd filed Critical Kingsoft Guangzhou Network Technology Co Ltd
Priority to CN201410241866.1A priority Critical patent/CN104008170B/en
Publication of CN104008170A publication Critical patent/CN104008170A/en
Application granted granted Critical
Publication of CN104008170B publication Critical patent/CN104008170B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9535Search customisation based on user profiles and personalisation

Landscapes

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

Abstract

The invention provides a search result providing method and device. The search result providing method comprises the steps of receiving search words input by a user and obtaining search results according the search words; obtaining total points of the search results according to pre-determined optimal weight of each information dimension and score of each corresponding information dimension, wherein the optimal weights are confirmed according to results selected by the user from the search results in historical data and enable preset evaluation parameters to be optimal, and the evaluation parameters are used for search result evaluation; sorting the search results according to the total points of the search results and displaying the sorted search results for the user. The search results provided by adopting the search result providing method meets the demand of the user.

Description

The supplying method of Search Results and device
Technical field
The present invention relates to search technique field, relate in particular to a kind of supplying method and device of Search Results.
Background technology
Along with the development of network technology and day by day expanding of network information resource, search engine has become the Main Means of people's obtaining information.Particularly search for the information (as music, novel etc.) of particular category, also need to rely on more professional vertical search engine.These search engines can be by the search word fixer network information resources (comprising relevant information, file resource etc.) rapidly and accurately of input.Wherein, when search engine provides Search Results according to search word to user, by the network information resource associated with search word sorted, provide Search Results to user, the engine that assists search more and more " understands " that people want to obtain which information or file resource, makes the search engine use of becoming better and better.
At present, in the correlation technique that the network information resource associated with search word sorted, first (for example need to obtain each information dimension that each network information resource associated with search word is corresponding, temperature, download, user's scoring etc.) weight, and according to the weight order of each information dimension and the corresponding each network information resource associated with search word of Weight Acquisition thereof.
The problem that correlation technique exists is, in the time obtaining the weight of each information dimension that each network information resource associated with search word is corresponding, according to user's search behavior, the weights of each information dimension are adjusted, so repetition can reach tens of times, causes on the one hand whole adjustment process workload greatly and excessive cycle; Correlation technique is online adjustment on the other hand, uses thereby affect user, increases the risk of system stability.
Summary of the invention
The present invention is intended to solve at least to a certain extent one of technical matters in correlation technique.
For this reason, first object of the present invention is to propose a kind of supplying method of Search Results.The Search Results that the method provides meets user's demand more.
Second object of the present invention is to propose the generator of another kind of Search Results.
To achieve these goals, the supplying method of the Search Results of first aspect present invention embodiment, comprising: receive the search word of user's input, and obtain Search Results according to described search word; According to the optimal weights of predetermined each information dimension, and the mark of corresponding each information dimension, obtain the total score of each Search Results, wherein, described optimal weights is that the selection result in multiple Search Results is determined according to user in historical data, described optimal weights makes predefined evaluating optimum, and described evaluating is used for evaluating search effect; According to the total score of described each Search Results, described each Search Results is sorted, and the Search Results after sequence is shown to user.
The supplying method of the Search Results of the embodiment of the present invention, optimal weights is that the selection result in multiple Search Results is determined according to user in historical data on the one hand, if the sequence of selection result in multiple Search Results is forward, illustrate that ranking results more meets user's demand, sequence effect is better, definite optimal weights meets demand more thus, thereby the Search Results providing meets user's demand more; Only need obtain historical data on the other hand, repeatedly repeat debugging without on-line running, can obtain optimal weights, overcome the defect of adjusting on correlation technique center line, improve efficiency, reduced adjustment cycle and workload, reduced risk, promoted stability.
To achieve these goals, the generator of the Search Results of second aspect present invention embodiment, comprising: receiver module, for receiving the search word of user's input; First obtains module, for obtaining Search Results according to described search word; Second obtains module, be used for according to the optimal weights of predetermined each information dimension, and the mark of corresponding each information dimension, obtain the total score of each Search Results, wherein, described optimal weights is that the selection result in multiple Search Results is determined according to user in historical data, and described optimal weights makes predefined evaluating optimum, and described evaluating is used for evaluating search effect; Order module, for according to the total score of described each Search Results, described each Search Results being sorted, and is shown to user by the Search Results after sequence.
The generator of the Search Results of the embodiment of the present invention, optimal weights is that the selection result in multiple Search Results is determined according to user in historical data on the one hand, if the sequence of selection result in multiple Search Results is forward, illustrate that ranking results more meets user's demand, sequence effect is better, definite optimal weights meets demand more thus, thereby the Search Results providing meets user's demand more; Only need obtain historical data on the other hand, repeatedly repeat debugging without on-line running, can obtain optimal weights, overcome the defect of adjusting on correlation technique center line, improve efficiency, reduced adjustment cycle and workload, reduced risk, promoted stability.
The aspect that the present invention is additional and advantage in the following description part provide, and part will become obviously from the following description, or recognize by practice of the present invention.
Brief description of the drawings
The present invention above-mentioned and/or additional aspect and advantage will become from the following description of the accompanying drawings of embodiments obviously and easily and understand, wherein,
Fig. 1 is the process flow diagram of the supplying method of Search Results according to an embodiment of the invention;
Fig. 2 is according to the process flow diagram of the optimal weights of definite each information dimension of the embodiment of the present invention;
Fig. 3 is according to the process flow diagram of the S202 of the embodiment of the present invention;
Fig. 4 is the structured flowchart of the generator of Search Results according to an embodiment of the invention;
Fig. 5 is the structured flowchart of the generator of Search Results in accordance with another embodiment of the present invention; And
Fig. 6 is according to the structured flowchart of the determination module of the embodiment of the present invention.
Embodiment
Describe embodiments of the invention below in detail, the example of described embodiment is shown in the drawings, and wherein same or similar label represents same or similar element or has the element of identical or similar functions from start to finish.Be exemplary below by the embodiment being described with reference to the drawings, only for explaining the present invention, and can not be interpreted as limitation of the present invention.On the contrary, embodiments of the invention comprise all changes, amendment and the equivalent within the scope of spirit and the intension that falls into additional claims.
In description of the invention, it will be appreciated that, term " first ", " second " etc. are only for describing object, and can not be interpreted as instruction or hint relative importance.In description of the invention, it should be noted that, unless otherwise clearly defined and limited, term " is connected ", " connection " should be interpreted broadly, and for example, can be to be fixedly connected with, and can be also to removably connect, or connects integratedly; Can be mechanical connection, can be also electrical connection; Can be to be directly connected, also can indirectly be connected by intermediary.For the ordinary skill in the art, can concrete condition understand above-mentioned term concrete meaning in the present invention.In addition,, in description of the invention, except as otherwise noted, the implication of " multiple " is two or more.
Any process of otherwise describing in process flow diagram or at this or method are described and can be understood to, represent to comprise that one or more is for realizing module, fragment or the part of code of executable instruction of step of specific logical function or process, and the scope of the preferred embodiment of the present invention comprises other realization, wherein can be not according to order shown or that discuss, comprise according to related function by the mode of basic while or by contrary order, carry out function, this should be understood by embodiments of the invention person of ordinary skill in the field.
At present, for the Search Results that makes to provide meets user's demand more, in the time carrying out the sequence of Search Results, generally according to the search behavior of user on line, corresponding weight is adjusted.But, on line, adjust and cause that adjustment cycle is long, workload is large, risk is high, poor stability.Therefore, embodiments of the invention provide a kind of supplying method and device of Search Results, by adjusting the defect that overcomes correlation technique under line.
Describe according to the supplying method of the Search Results of the embodiment of the present invention and device below with reference to accompanying drawing.
Fig. 1 is the process flow diagram of the supplying method of Search Results according to an embodiment of the invention.
As shown in Figure 1, the supplying method of Search Results comprises:
S101, receives the search word of user's input, and obtains Search Results according to search word.
For example, inputted search word in the searched page that user can provide at search engine, also can be in quick search box inputted search word, embodiments of the invention do not limit this.After obtaining the search word of user's input, can from corresponding database, mate corresponding Search Results, this is prior art, does not repeat them here.
S102, according to the optimal weights of predetermined each information dimension, and the mark of corresponding each information dimension, obtain the total score of each Search Results, wherein, optimal weights is that the selection result in multiple Search Results is determined according to user in historical data, and optimal weights makes predefined evaluating optimum, and evaluating is used for evaluating search effect.
Particularly, information dimension is the factor that affects search results ranking.More specifically, in one embodiment of the invention, information dimension comprises and one or more in the associated temperature of search word, download, click volume, user's scoring etc.Each information dimension has corresponding weight, and in different Search Results, has different marks (for example, download be 100,000 etc.).
More specifically, the total score of each Search Results as shown in formula (1),
sorce=s 1·w 1+s 2·w 2+...+s n·w n (1)
Wherein, n represents the number of information dimension, s 1, s 2... s nrepresent respectively the mark of each information dimension, w 1, w 2..., w nrepresent respectively the weight of each information dimension, sorce represents the total score of each Search Results, only should understand herein for the total score of Search Results for convenience of description illustrates, can not be using above-mentioned formula as limiting the scope of the present invention.
For example, if the information dimension of needs assessment is 3, be respectively the associated temperature s with search word 1, download s 2, the user s that marks 3, the weight of correspondence is w respectively 1, w 2, w 3.If Search Results " rice perfume (or spice)-Zhou Jielun ", with the associated temperature mark s of inputted search word " rice perfume (or spice) " 1be assumed to 0.4, w 1be assumed to 1000, the download s of " rice perfume (or spice)-Zhou Jielun " 2be assumed to 10000, w 2be assumed to 0.5, the user of " rice perfume (or spice)-Zhou Jielun " s that marks 3be assumed to 9 points, w 3being assumed to 10, is 5490 according to the total score of formula (1) acquisition " rice perfume (or spice)-Zhou Jielun ".As can be seen here, in the time that information dimension mark can be determined, optimum if the weight of each information dimension reaches, it is optimum that the effect that the total score of obtaining according to optimal weights sorts can reach.
In embodiments of the invention, optimal weights is that the selection result in multiple Search Results is determined according to user in historical data, if the sequence of selection result in multiple Search Results is forward, illustrate that ranking results more meets user's demand, sequence effect is better.
S103, sorts to each Search Results according to the total score of each Search Results, and the Search Results after sequence is shown to user.
The supplying method of the Search Results of the embodiment of the present invention, optimal weights is that the selection result in multiple Search Results is determined according to user in historical data on the one hand, if the sequence of selection result in multiple Search Results is forward, illustrate that ranking results more meets user's demand, sequence effect is better, definite optimal weights meets demand more thus, thereby the Search Results providing meets user's demand more; Only need obtain historical data on the other hand, repeatedly repeat debugging without on-line running, can obtain optimal weights, overcome the defect of adjusting on correlation technique center line, improve efficiency, reduced adjustment cycle and workload, reduced risk, promoted stability.
In one embodiment of the invention, evaluating is the mean place value obtaining according to selection result, and optimal weights makes mean place value minimum.For example, if there are four historical datas to comprise log1, log2, log3 and log4, in log1, Search Results is A, B, C, and in log2, Search Results is D, E, F, and in log3, Search Results is G, H, I, and in log4, Search Results is J, K, L.If user has clicked Search Results C in log1, its position is 3, if user has clicked Search Results D in log2, its position is 1, if user has clicked Search Results G and H in log3, its position is 1 and 2, and the mean place value of obtaining is (3+1+1+2)/4=1.75.Should be understood that above-mentioned example only understands the acquisition process of mean place value for convenience, can not serve as limiting the scope of the present invention.
This shows, mean place value is less, illustrates that the Search Results of being clicked by user is more forward, and the effect of sequence is better, because the weights of each information dimension are also optimum.
In one embodiment of the invention, the supplying method of Search Results also comprises: the optimal weights of determining each information dimension.Describe in detail below in conjunction with accompanying drawing.
Fig. 2 is according to the process flow diagram of the optimal weights of definite each information dimension of the embodiment of the present invention.
As shown in Figure 2, the optimal weights of determining each information dimension comprises:
S201, obtains historical data, and historical data comprises the selection result of each user in multiple Search Results of correspondence.
Wherein, historical data can, as described in above-described embodiment, not repeat them here.
S202, adjusts weight corresponding to each information dimension successively, determines the optimal weights of corresponding each information dimension, makes the mean place value minimum obtaining according to selection result.
Particularly, Fig. 3 is according to the process flow diagram of the S202 of the embodiment of the present invention, in one embodiment of the invention, as described in Figure 3, determines that the optimal weights of corresponding each information dimension specifically comprises in S202:
S301 according to default weight initial value and step-length, obtains different weights in weight interval corresponding to each information dimension of setting.
Wherein, the implication that each information dimension can be expressed according to reality has different weight initial values, step-length and weight interval, and those skilled in the art can arrange according to actual conditions.Should be understood that and arrange after weight initial value, step-length, in definite weight interval, can obtain the different weight of each information dimension, can automatically realize the adjustment of weights.
S302, calculates in the time of each weight the total score of multiple Search Results corresponding to each user.
Particularly, adjusting after weight, can recalculate according to each weight the total score of multiple Search Results in historical data according to the method described in the above embodiments.
S303, determines mean place value according to the total score of multiple Search Results.
In one embodiment of the invention, first, according to the total score of multiple Search Results, multiple Search Results of correspondence are sorted,, in each historical data, again multiple Search Results are sorted according to the total score of multiple Search Results; Afterwards, the position of each selection result after definite sequence in multiple Search Results, particularly, after multiple Search Results rearrangements, in multiple Search Results, the relevant position of user's selection result also changes, and need to redefine the position of selection result; After again the position of all selection results being averaged, obtain mean place value, can recalculate again the mean place value after sequence according to the mean place value calculating method described in above-described embodiment, do not repeat them here.
S304, by mean place value a hour corresponding weight be defined as optimal weights.
The supplying method of the Search Results of the embodiment of the present invention, can automatically adjust the weight of each information dimension, without manually arrange at every turn, thus further raising efficiency, can ensure to converge to optimal weights, thereby the more excellent Search Results that finally can reach provides effect simultaneously; In addition, after adjusting each weight, again historical data is adjusted, without again reaching the standard grade, greatly reduced adjustment cycle.
In order to realize above-described embodiment, embodiments of the invention also propose a kind of generator of Search Results.
Fig. 4 is the structured flowchart of the generator of Search Results according to an embodiment of the invention.
As shown in Figure 4, the generator 100 of Search Results comprises: receiver module 110, first obtains module 120, second and obtains module 130 and order module 140.
Particularly, receiver module 110 is for receiving the search word of user's input; First obtains module 120 for obtaining Search Results according to search word.For example, inputted search word in the searched page that user can provide at search engine, also can be in quick search box inputted search word, embodiments of the invention do not limit this.After obtaining the search word of user's input, can from corresponding database, mate corresponding Search Results, this is prior art, does not repeat them here.
Second obtains module 130 for according to the optimal weights of predetermined each information dimension, and the mark of corresponding each information dimension, obtain the total score of each Search Results, wherein, optimal weights is that the selection result in multiple Search Results is determined according to user in historical data, optimal weights makes predefined evaluating optimum, and evaluating is used for evaluating search effect.
More specifically, information dimension is the factor that affects search results ranking.More specifically, in one embodiment of the invention, information dimension comprises and one or more in the associated temperature of search word, download, click volume, user's scoring etc.Each information dimension has corresponding weight, and in different Search Results, has different marks (for example, download be 100,000 etc.).Wherein, the total score of each Search Results can reference method embodiment described in, do not repeat them here.
In embodiments of the invention, optimal weights is that the selection result in multiple Search Results is determined according to user in historical data, if the sequence of selection result in multiple Search Results is forward, illustrate that ranking results more meets user's demand, sequence effect is better.
Order module 140 is for according to the total score of each Search Results, each Search Results being sorted, and the Search Results after sequence is shown to user.
The generator of the Search Results of the embodiment of the present invention, optimal weights is that the selection result in multiple Search Results is determined according to user in historical data on the one hand, if the sequence of selection result in multiple Search Results is forward, illustrate that ranking results more meets user's demand, sequence effect is better, definite optimal weights meets demand more thus, thereby the Search Results providing meets user's demand more; Only need obtain historical data on the other hand, repeatedly repeat debugging without on-line running, can obtain optimal weights, overcome the defect of adjusting on correlation technique center line, improve efficiency, reduced adjustment cycle and workload, reduced risk, promoted stability.
In one embodiment of the invention, evaluating is the mean place value obtaining according to selection result, and optimal weights makes mean place value minimum.For example, if there are four historical datas to comprise log1, log2, log3 and log4, in log1, Search Results is A, B, C, and in log2, Search Results is D, E, F, and in log3, Search Results is G, H, I, and in log4, Search Results is J, K, L.If user has clicked Search Results C in log1, its position is 3, if user has clicked Search Results D in log2, its position is 1, if user has clicked Search Results G and H in log3, its position is 1 and 2, and the mean place value of obtaining is (3+1+1+2)/4=1.75.Should be understood that above-mentioned example only understands the acquisition process of mean place value for convenience, can not serve as limiting the scope of the present invention.
This shows, mean place value is less, illustrates that the Search Results of being clicked by user is more forward, and the effect of sequence is better, because the weights of each information dimension are also optimum.
Fig. 5 is the structured flowchart of the generator of Search Results in accordance with another embodiment of the present invention.
As shown in Figure 5, on basis embodiment illustrated in fig. 4, the generator 100 of Search Results also comprises: determination module 150.
Particularly, determination module 150 is for determining the optimal weights of each information dimension.
More specifically, Fig. 6 is according to the structured flowchart of the determination module of the embodiment of the present invention.As shown in Figure 6, determination module 150 comprises: acquiring unit 151 and determining unit 152.
Particularly, acquiring unit 151 is for obtaining historical data, and historical data comprises the selection result of each user in multiple Search Results of correspondence, wherein, historical data can reference method embodiment described in, do not repeat them here.
Determining unit 152, for adjusting successively weight corresponding to each information dimension, is determined the optimal weights of corresponding each information dimension, makes the mean place value minimum obtaining according to selection result.
Determining unit 152 specifically for:
First,, according to default weight initial value and step-length, in weight interval corresponding to each information dimension of setting, obtain different weights.Wherein, the implication that each information dimension can be expressed according to reality has different weight initial values, step-length and weight interval, and those skilled in the art can arrange according to actual conditions.Should be understood that and arrange after weight initial value, step-length, in definite weight interval, can obtain the different weight of each information dimension, can automatically realize the adjustment of weights.
Then, calculate in the time of each weight the total score of multiple Search Results corresponding to each user.Particularly, adjusting after weight, can recalculate according to each weight the total score of multiple Search Results in historical data according to the method described in the above embodiments.
Afterwards, determine mean place value according to the total score of multiple Search Results.
In one embodiment of the invention, determining unit 152 is in the time determining mean place value according to the total score of multiple Search Results, first, according to the total score of multiple Search Results, multiple Search Results of correspondence are sorted, in each historical data, again multiple Search Results are sorted according to the total score of multiple Search Results; Afterwards, the position of each selection result after definite sequence in multiple Search Results, particularly, after multiple Search Results rearrangements, in multiple Search Results, the relevant position of user's selection result also changes, and need to redefine the position of selection result; After again the position of all selection results being averaged, obtain mean place value, can recalculate again the mean place value after sequence according to the mean place value calculating method described in above-described embodiment, do not repeat them here.
Finally by mean place value a hour corresponding weight be defined as optimal weights.
The generator of the Search Results of the embodiment of the present invention, can automatically adjust the weight of each information dimension according to determination module, without manually arrange at every turn, thereby further raising efficiency, can ensure to converge to optimal weights, thereby the more excellent Search Results that finally can reach provides effect simultaneously; In addition, after adjusting each weight, again historical data is adjusted according to determination module, without again reaching the standard grade, greatly reduced adjustment cycle.
Should be appreciated that each several part of the present invention can realize with hardware, software, firmware or their combination.In the above-described embodiment, multiple steps or method can realize with being stored in software or the firmware carried out in storer and by suitable instruction execution system.For example, if realized with hardware, the same in another embodiment, can realize by any one in following technology well known in the art or their combination: there is the discrete logic for data-signal being realized to the logic gates of logic function, there is the special IC of suitable combinational logic gate circuit, programmable gate array (PGA), field programmable gate array (FPGA) etc.
In the description of this instructions, the description of reference term " embodiment ", " some embodiment ", " example ", " concrete example " or " some examples " etc. means to be contained at least one embodiment of the present invention or example in conjunction with specific features, structure, material or the feature of this embodiment or example description.In this manual, the schematic statement of above-mentioned term is not necessarily referred to identical embodiment or example.And specific features, structure, material or the feature of description can be with suitable mode combination in any one or more embodiment or example.
Although illustrated and described embodiments of the invention, those having ordinary skill in the art will appreciate that: in the situation that not departing from principle of the present invention and aim, can carry out multiple variation, amendment, replacement and modification to these embodiment, scope of the present invention is limited by claim and equivalent thereof.

Claims (12)

1. a supplying method for Search Results, is characterized in that, comprising:
Receive the search word of user's input, and obtain Search Results according to described search word;
According to the optimal weights of predetermined each information dimension, and the mark of corresponding each information dimension, obtain the total score of each Search Results, wherein, described optimal weights is that the selection result in multiple Search Results is determined according to user in historical data, described optimal weights makes predefined evaluating optimum, and described evaluating is used for evaluating search effect;
According to the total score of described each Search Results, described each Search Results is sorted, and the Search Results after sequence is shown to user.
2. method according to claim 1, is characterized in that, described evaluating is the mean place value obtaining according to described selection result, and described optimal weights makes described mean place value minimum.
3. method according to claim 2, is characterized in that, also comprises: determine the optimal weights of each information dimension, the described optimal weights of determining each information dimension, comprising:
Obtain historical data, described historical data comprises the selection result of each user in multiple Search Results of correspondence;
Adjust successively weight corresponding to each information dimension, determine the optimal weights of corresponding each information dimension, make the described mean place value minimum obtaining according to described selection result.
4. method according to claim 3, is characterized in that, the optimal weights of the each information dimension of described definite correspondence, comprising:
According to default weight initial value and step-length, in weight interval corresponding to each information dimension of setting, obtain different weights;
Calculate in the time of each weight the total score of described multiple Search Results corresponding to described each user;
Determine mean place value according to the total score of described multiple Search Results;
By mean place value a hour corresponding weight be defined as optimal weights.
5. method according to claim 4, is characterized in that, the described total score according to described multiple Search Results is determined mean place value, comprising:
According to the total score of described multiple Search Results, described multiple Search Results of correspondence are sorted;
The position of each selection result after definite sequence in described multiple Search Results;
After being averaged, the position of all selection results obtains described mean place value.
6. according to the method described in any one in claim 1 to 5, it is characterized in that, described information dimension comprises one or more in marking with associated temperature, download, click volume, the user of search word.
7. a generator for Search Results, is characterized in that, comprising:
Receiver module, for receiving the search word of user's input;
First obtains module, for obtaining Search Results according to described search word;
Second obtains module, be used for according to the optimal weights of predetermined each information dimension, and the mark of corresponding each information dimension, obtain the total score of each Search Results, wherein, described optimal weights is that the selection result in multiple Search Results is determined according to user in historical data, and described optimal weights makes predefined evaluating optimum, and described evaluating is used for evaluating search effect;
Order module, for according to the total score of described each Search Results, described each Search Results being sorted, and is shown to user by the Search Results after sequence.
8. device according to claim 7, is characterized in that, described evaluating is the mean place value obtaining according to described selection result, and described optimal weights makes described mean place value minimum.
9. device according to claim 8, is characterized in that, also comprises: determination module, and for determining the optimal weights of each information dimension, described determination module comprises:
Acquiring unit, for obtaining historical data, described historical data comprises the selection result of each user in multiple Search Results of correspondence;
Determining unit, adjusts weight corresponding to each information dimension successively, determines the optimal weights of corresponding each information dimension, makes the described mean place value minimum obtaining according to described selection result.
10. device according to claim 9, is characterized in that, described determining unit specifically for:
According to default weight initial value and step-length, in weight interval corresponding to each information dimension of setting, obtain different weights;
Calculate in the time of each weight the total score of described multiple Search Results corresponding to described each user;
Determine mean place value according to the total score of described multiple Search Results;
By mean place value a hour corresponding weight be defined as optimal weights.
11. devices according to claim 10, it is characterized in that, described determining unit is in the time determining mean place value according to the total score of described multiple Search Results, according to the total score of described multiple Search Results, described multiple Search Results of correspondence are sorted, and determine the position of each selection result in described multiple Search Results after sequence, and after being averaged, the position of all selection results obtains described mean place value.
12. according to the device described in any one in claim 7 to 11, it is characterized in that, described information dimension comprises one or more in marking with associated temperature, download, click volume, the user of search word.
CN201410241866.1A 2014-05-30 2014-05-30 The offer method and apparatus of Search Results Expired - Fee Related CN104008170B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201410241866.1A CN104008170B (en) 2014-05-30 2014-05-30 The offer method and apparatus of Search Results

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201410241866.1A CN104008170B (en) 2014-05-30 2014-05-30 The offer method and apparatus of Search Results

Publications (2)

Publication Number Publication Date
CN104008170A true CN104008170A (en) 2014-08-27
CN104008170B CN104008170B (en) 2017-03-29

Family

ID=51368827

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201410241866.1A Expired - Fee Related CN104008170B (en) 2014-05-30 2014-05-30 The offer method and apparatus of Search Results

Country Status (1)

Country Link
CN (1) CN104008170B (en)

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105630871A (en) * 2015-12-16 2016-06-01 广州神马移动信息科技有限公司 Search result display method and device as well as search system
CN106469206A (en) * 2016-08-31 2017-03-01 广州酷狗计算机科技有限公司 The method and apparatus of pushed information
CN106776741A (en) * 2016-11-18 2017-05-31 北京奇虎科技有限公司 A kind of searching method and device
CN106790369A (en) * 2016-11-09 2017-05-31 腾讯科技(深圳)有限公司 A kind of multimedia application interface is dressed up method and device
CN108804674A (en) * 2018-06-11 2018-11-13 北京五八信息技术有限公司 A kind of model sort method, device, equipment and computer readable storage medium
CN109213922A (en) * 2017-06-30 2019-01-15 武汉斗鱼网络科技有限公司 A kind of method and apparatus of pair of search results ranking
WO2020019562A1 (en) * 2018-07-27 2020-01-30 天津字节跳动科技有限公司 Search sorting method and device, electronic device, and storage medium
CN110929154A (en) * 2019-11-27 2020-03-27 中国银行股份有限公司 Search result sorting method and system
CN113886685A (en) * 2021-09-23 2022-01-04 北京三快在线科技有限公司 Searching method, searching device, storage medium and electronic equipment
CN114254179A (en) * 2020-09-23 2022-03-29 北京达佳互联信息技术有限公司 Search request processing method and device and search platform

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101046804A (en) * 2006-03-30 2007-10-03 国际商业机器公司 Method for searching order in file system and correlation search engine
US20100114878A1 (en) * 2008-10-22 2010-05-06 Yumao Lu Selective term weighting for web search based on automatic semantic parsing
CN102073699A (en) * 2010-12-20 2011-05-25 百度在线网络技术(北京)有限公司 Method, device and equipment for improving search result based on user behaviors
CN103577413A (en) * 2012-07-20 2014-02-12 阿里巴巴集团控股有限公司 Search result ordering method and system and search result ordering optimization method and system
US20140067798A1 (en) * 2012-08-30 2014-03-06 International Business Machines Corporation Scoring records for sorting by user-specific weights based on relative importance

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101046804A (en) * 2006-03-30 2007-10-03 国际商业机器公司 Method for searching order in file system and correlation search engine
US20100114878A1 (en) * 2008-10-22 2010-05-06 Yumao Lu Selective term weighting for web search based on automatic semantic parsing
CN102073699A (en) * 2010-12-20 2011-05-25 百度在线网络技术(北京)有限公司 Method, device and equipment for improving search result based on user behaviors
CN103577413A (en) * 2012-07-20 2014-02-12 阿里巴巴集团控股有限公司 Search result ordering method and system and search result ordering optimization method and system
US20140067798A1 (en) * 2012-08-30 2014-03-06 International Business Machines Corporation Scoring records for sorting by user-specific weights based on relative importance

Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105630871A (en) * 2015-12-16 2016-06-01 广州神马移动信息科技有限公司 Search result display method and device as well as search system
CN106469206A (en) * 2016-08-31 2017-03-01 广州酷狗计算机科技有限公司 The method and apparatus of pushed information
CN106790369B (en) * 2016-11-09 2021-12-14 腾讯科技(深圳)有限公司 Multimedia application interface decorating method and device
CN106790369A (en) * 2016-11-09 2017-05-31 腾讯科技(深圳)有限公司 A kind of multimedia application interface is dressed up method and device
CN106776741A (en) * 2016-11-18 2017-05-31 北京奇虎科技有限公司 A kind of searching method and device
CN109213922A (en) * 2017-06-30 2019-01-15 武汉斗鱼网络科技有限公司 A kind of method and apparatus of pair of search results ranking
CN109213922B (en) * 2017-06-30 2020-07-10 武汉斗鱼网络科技有限公司 Method and device for sequencing search results
CN108804674A (en) * 2018-06-11 2018-11-13 北京五八信息技术有限公司 A kind of model sort method, device, equipment and computer readable storage medium
WO2020019562A1 (en) * 2018-07-27 2020-01-30 天津字节跳动科技有限公司 Search sorting method and device, electronic device, and storage medium
CN110929154A (en) * 2019-11-27 2020-03-27 中国银行股份有限公司 Search result sorting method and system
CN110929154B (en) * 2019-11-27 2022-09-20 中国银行股份有限公司 Search result sorting method and system
CN114254179A (en) * 2020-09-23 2022-03-29 北京达佳互联信息技术有限公司 Search request processing method and device and search platform
CN113886685A (en) * 2021-09-23 2022-01-04 北京三快在线科技有限公司 Searching method, searching device, storage medium and electronic equipment
CN113886685B (en) * 2021-09-23 2023-01-06 北京三快在线科技有限公司 Searching method, searching device, storage medium and electronic equipment

Also Published As

Publication number Publication date
CN104008170B (en) 2017-03-29

Similar Documents

Publication Publication Date Title
CN104008170A (en) Search result providing method and device
CN105043400B (en) Paths planning method and device
KR20200069352A (en) Convergence data processing method and information recommendation system
WO2020224445A1 (en) Method and apparatus for processing traffic flow path distribution information, and electronic device
CN104572998A (en) Updating method and device of question answer sequencing model for automatic question answer system
CN105224959A (en) The training method of order models and device
CN103246985A (en) Advertisement click rate predicting method and device
JP5744321B2 (en) Parameter setting device
CN108897829A (en) Modification method, device and the storage medium of data label
CN104573000A (en) Sequential learning based automatic questions and answers device and method
CN103530347A (en) Internet resource quality assessment method and system based on big data mining
JP2013206413A (en) Traffic data prediction device, traffic data prediction method and computer program
CN109271380A (en) A kind of tables of data mass data method of calibration and terminal device
CN103207906A (en) Method for delivering search results and search engine
CN103268360A (en) Search engine as well as method and system for recommending film and television videos by virtue of search engine
CN114758495A (en) Traffic signal lamp adjusting method and device and electronic equipment
CN108776660A (en) A method of the batch based on ArcGIS matches road attribute
CN102411663A (en) Calculation multiplexing method, equipment and system for circuit fine tuning accelerating circuit simulation
JP7080199B2 (en) Production planning support system equipped with work man-hour prediction system and work man-hour prediction system
CN111695047A (en) User clustering method and device, electronic equipment and storage medium
CN102902521B (en) The credible evolution impact analysis method of a kind of composite services based on XCFG
CN107202586A (en) A kind of air navigation aid and device
CN110688623B (en) Training optimization method, device, equipment and storage medium for high-order LR model
CN111597700A (en) Signal control algorithm evaluation method and device, electronic equipment and readable storage medium
US10318682B1 (en) Systems and methods for analyzing node impedance state

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
CP03 Change of name, title or address
CP03 Change of name, title or address

Address after: 510623 Guangdong, Tianhe District, Huaxia Road, No. 26 agile Music Center, floor 07,, 08A unit fifteenth

Patentee after: Guangzhou cheetah Network Technology Co.,Ltd.

Address before: 510623 unit 01-B, Guangzhou bank building, No. 30 Zhujiang Road, Guangzhou, Guangdong, Tianhe District, China

Patentee before: GUANGZHOU KINGSOFT NETWORK TECHNOLOGY Co.,Ltd.

CF01 Termination of patent right due to non-payment of annual fee
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20170329