CN103870607A - Sequencing method and device of search results of multiple search engines - Google Patents
Sequencing method and device of search results of multiple search engines Download PDFInfo
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- CN103870607A CN103870607A CN201410139320.5A CN201410139320A CN103870607A CN 103870607 A CN103870607 A CN 103870607A CN 201410139320 A CN201410139320 A CN 201410139320A CN 103870607 A CN103870607 A CN 103870607A
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
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Abstract
The invention discloses a sequencing method and device of search results of multiple search engines. The method includes the steps of receiving a search request of a user, obtaining the search results obtained after the search engines respond to the search request, rearranging the search results of the search engines according to user behavior weights of the search results, sequencing the search engines, and showing the sequencing result of the search engines and the rearranged search results of the search engines in an online application mode of a label page. According to the method, the search results of the search engines are rearranged by means of the user behavior weights, and the search engines are sequenced and optimized.
Description
Technical field
The present invention relates to internet arena, be specifically related to a kind of sort method and device of multiple search engine Search Results.
Background technology
Existing search engine ordering system mainly contains two classes, and a class is search engine independently, and as Google's music etc., another kind of is multiple search engine, as unit's search etc.First kind search engine, lacks some resource because of copyright resource problem etc., can not meet consumers' demand; Due to the Ordination based on self user behavior, lacked other engine user behavior datas, non-optimum at large data sorting.Equations of The Second Kind search engine, although met resource requirement, but all represent multiple search engine ranking results by fixing sort method, it does not calculate multiple search engine result weights based on large data, also lack the Ordination between result rearrangement and engine in engine, the search results ranking of simultaneously not optimizing multiple search engine, the sort result of each search engine is bad, can not meet user's demand.
Summary of the invention
In view of the above problems, the present invention has been proposed to provide a kind of sort method of the multiple search engine Search Results that overcomes the problems referred to above or address the above problem at least in part and the collator of corresponding multiple search engine Search Results.
According to an aspect of the present invention, provide a kind of sort method of multiple search engine Search Results, having comprised:
Receive user's searching request, obtain respectively the Search Results that searching request obtains described in each search engine response;
According to the user behavior weights of each Search Results, the Search Results of each search engine is reset respectively, and each search engine is sorted;
With the form of the online application of Shipping Options Page represent the ranking results of each search engine and reset after the Search Results of each search engine.
Alternatively, describedly according to the user behavior weights of each Search Results, the Search Results of each search engine is reset respectively, and each search engine is sorted and further comprised:
According to the user behavior weights of each Search Results, the Search Results of all search engines is carried out integrated ordered, obtain desirable integrated ordered result;
Utilize described desirable integrated ordered result, the Search Results of each search engine is reset respectively, and each search engine is sorted.
Alternatively, the form of the described online application with Shipping Options Page represent the ranking results of each search engine and reset after the Search Results of each search engine further comprise:
In described online application, represent respectively each search engine with multiple buttons with sequencing, wherein, the order of described multiple buttons is consistent with the sequencing of described each search engine, by switch the Search Results that represents each search engine after rearrangement between described multiple buttons.
Alternatively, described according to the user behavior weights of each Search Results, the Search Results of all search engines is carried out integrated ordered, obtain desirable integrated ordered result and further comprise:
Obtain user behavior weights and the search engine relevance weights of each Search Results;
According to the user behavior weights of each Search Results and search engine relevance weights, the Search Results of all search engines is carried out integrated ordered, obtain desirable integrated ordered result.
Alternatively, the user behavior weights that obtain each Search Results are specially: add up the click volume of the whole network user to Search Results, calculate the user behavior weights of Search Results according to click volume.
Alternatively, the search engine relevance weights that obtain each Search Results are specially:
Analyze described Search Results and appear at the position of each search engine and appear at the number of times of partner, the number of times that appears at the position of each search engine and appear at partner according to described Search Results calculates search engine relevance weights.
Alternatively, described according to the user behavior weights of each Search Results and search engine relevance weights, the Search Results of all search engines is carried out integrated ordered, obtain desirable integrated ordered result and further comprise:
Calculate respectively the described user behavior weights of each Search Results and the weighting weights of the described search engine relevance weights weighted value as each Search Results, according to the described weighted value of each Search Results order from high to low, the Search Results of described all search engines is sorted.
Alternatively, described desirable integrated ordered result is to sort and obtain according to the weighted value of each Search Results order from high to low;
Describedly utilize described desirable integrated ordered result, each search engine sorted and further comprised:
Calculate the summation of weighted value of all Search Results of each search engine as the weighted value of this search engine;
According to the weighted value of each search engine, each search engine is sorted.
Alternatively, the Search Results of all search engines is carried out integrated ordered described, obtains before desirable integrated ordered result also comprising:
The Search Results of described each search engine is carried out to re-scheduling processing.
According to a further aspect in the invention, provide a kind of collator of multiple search engine Search Results, having comprised:
Customer requirement retrieval module, is suitable for receiving user's searching request;
Multiple search engine result acquisition module, is suitable for obtaining respectively the Search Results that searching request obtains described in each search engine response;
Order module, is suitable for the user behavior weights according to each Search Results, the Search Results of each search engine is reset respectively, and each search engine is sorted;
Multiple search engine result presentation module, be suitable for the form of the online application of Shipping Options Page represent the ranking results of each search engine and reset after the Search Results of each search engine.
Alternatively, described order module further comprises:
Integrated ordered submodule, is suitable for the user behavior weights according to each Search Results, the Search Results of all search engines is carried out integrated ordered, obtains desirable integrated ordered result;
Multiple search engine result is reset submodule, is suitable for utilizing described desirable integrated ordered result, and the Search Results of each search engine is reset respectively;
Multiple search engine sequence submodule, utilizes described desirable integrated ordered result, and each search engine is sorted.
Alternatively, multiple search engine result presentation module is further adapted for:
In described online application, represent respectively each search engine with multiple buttons with sequencing, wherein, the order of described multiple buttons is consistent with the sequencing of described each search engine, by switch the Search Results that represents each search engine after rearrangement between described multiple buttons.
Alternatively, described integrated ordered submodule is further adapted for:
Weight calculation unit, is suitable for obtaining user behavior weights and the search engine relevance weights of each Search Results;
Integrated ordered unit, is suitable for according to the user behavior weights of each Search Results and search engine relevance weights, the Search Results of all search engines is carried out integrated ordered, obtains desirable integrated ordered result.
Alternatively, described weight calculation unit is further adapted for: add up the click volume of the whole network user to Search Results, calculate the user behavior weights of Search Results according to click volume.
Alternatively, described weight calculation unit is further adapted for: analyze described Search Results and appear at the position of each search engine and appear at the number of times of partner, the number of times that appears at the position of each search engine and appear at partner according to described Search Results calculates search engine relevance weights.
Alternatively, described integrated ordered unit is further adapted for: calculate respectively the described user behavior weights of each Search Results and the weighting weights of the described search engine relevance weights weighted value as each Search Results, according to the described weighted value of each Search Results order from high to low, the Search Results of described all search engines is sorted.
Alternatively, described desirable integrated ordered result is to sort and obtain according to the weighted value of each Search Results order from high to low;
Described multiple search engine sequence submodule is further adapted for: calculate the summation of weighted value of all Search Results of each search engine as the weighted value of this search engine; According to the weighted value of each search engine, each search engine is sorted.
Alternatively, described device also comprises: re-scheduling module, is suitable for the Search Results of described each search engine to carry out re-scheduling processing.
The method according to this invention, after receiving user's searching request, obtain respectively the Search Results that searching request obtains described in each search engine response, according to the user behavior weights of each Search Results, Search Results to each search engine is reset respectively, and each search engine is sorted, with the form of the online application of Shipping Options Page represent the ranking results of each search engine and reset after the Search Results of each search engine.The method utilizes user behavior weights to reset respectively the Search Results of each search engine, and each search engine is sorted, thereby be better than resource disappearance and the sequence of independent search engine, make that each search engine sequence in multiple search engine is optimized, sorting between engine is also optimized.
Above-mentioned explanation is only the general introduction of technical solution of the present invention, in order to better understand technological means of the present invention, and can be implemented according to the content of instructions, and for above and other objects of the present invention, feature and advantage can be become apparent, below especially exemplified by the specific embodiment of the present invention.
Brief description of the drawings
By reading below detailed description of the preferred embodiment, various other advantage and benefits will become cheer and bright for those of ordinary skill in the art.Accompanying drawing is only for the object of preferred implementation is shown, and do 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 process flow diagram of the sort method of multiple search engine Search Results according to an embodiment of the invention;
Fig. 2 shows the process flow diagram of the sort method of multiple search engine Search Results in accordance with another embodiment of the present invention;
Fig. 3 shows the structural representation of the collator of multiple search engine Search Results according to an embodiment of the invention.
Embodiment
Exemplary embodiment of the present disclosure is described below with reference to accompanying drawings in more detail.Although shown exemplary embodiment of the present disclosure in accompanying drawing, but should be appreciated that and can realize the disclosure and the embodiment that should do not set forth limits here with various forms.On the contrary, it is in order more thoroughly to understand the disclosure that these embodiment are provided, and can be by the those skilled in the art that conveys to complete the scope of the present disclosure.
Fig. 1 shows the process flow diagram of the sort method of multiple search engine Search Results according to an embodiment of the invention.As shown in Figure 1, the method comprises the steps:
Step S100, reception user's searching request, obtains respectively the Search Results that each search engine response searching request obtains.
Step S110, according to the user behavior weights of each Search Results, resets respectively the Search Results of each search engine, and each search engine is sorted.
User behavior weights major embodiment the click volume of the whole network user to a certain Search Results, or the click statistics amount of a period of time in-group user to a certain Search Results.
Step S120, with the form of the online application of Shipping Options Page represent the ranking results of each search engine and reset after the Search Results of each search engine.
The method providing according to the above embodiment of the present invention, after receiving user's searching request, obtain respectively the Search Results that each search engine response searching request obtains, according to the user behavior weights of each Search Results, Search Results to each search engine is reset respectively, and each search engine is sorted, with the form of the online application of Shipping Options Page represent the ranking results of each search engine and reset after the Search Results of each search engine.The method utilizes user behavior weights to reset respectively the Search Results of each search engine, and each search engine is sorted, thereby be better than resource disappearance and the sequence of independent search engine, make that each search engine sequence in multiple search engine is optimized, sorting between engine is also optimized.
Fig. 2 shows the process flow diagram of the sort method of multiple search engine Search Results in accordance with another embodiment of the present invention.As shown in Figure 2, the method comprises the steps:
Step S200, reception user's searching request, obtains respectively the Search Results that each search engine response searching request obtains.
For instance, user inputs a certain singer name XX by client, server receives after user's searching request, user's searching request is sent to each search engine for example A, B, C, D, E, obtain respectively the Search Results that each search engine response searching request obtains, wherein, the Search Results that search engine A obtains is: a, c, d, e, b; The Search Results that search engine B obtains is: c, e, f, h, a; The Search Results that search engine C obtains is: f, k, m, d, b; The Search Results that search engine D obtains is: m, n, k, a, h; The Search Results that search engine E obtains is: a, e, o, d, n, analyze each Search Results and the each Search Results sorting position at each search engine.
Step S210, carries out re-scheduling processing to the Search Results of each search engine.
The Search Results of each search engine obtaining in step S200 is carried out to re-scheduling processing, and the result obtaining after re-scheduling is: a, b, c, d, e, f, h, k, m, n, o.
Step S220, obtains user behavior weights and the search engine relevance weights of each Search Results.
User behavior weights major embodiment the click volume of the whole network user to a certain Search Results, instead of the click volume to a certain Search Results based on a certain user or several user only.User behavior weights based on be large data, large data also claim Big data, or claim flood tide data, magnanimity data, refer to related data quantity huge to seeing through current main flow Software tool, reaching acquisition, management, processing within reasonable time, also arranging and become the information that helps the more positive object of enterprise management decision-making.Large data have the features such as scale, high speed, diversity, value, and it has integrated the multi-form data of separate sources, can carry out real-time analysis but not batch type analysis, finds frequently internal association in magnanimity, kind between data.The present invention utilizes the advantage of large data, adds up the click volume of the whole network user to Search Results, calculates the user behavior weights of Search Results according to click volume.Particularly, click volume by statistics the whole network user to Search Results in step S200, calculates in step S210 the user behavior weights of Search Results after re-scheduling according to click volume and is respectively: 20,18,25,10,14,15,12,19,21,13,16.
Analyze Search Results and appear at the position of each search engine and appear at the number of times of partner, the number of times that appears at the position of each search engine and appear at partner according to Search Results calculates search engine relevance weights.For instance, to search engine A, B, C, D, in E, the position of each Search Results is analyzed, utilize position weights to represent the sequencing that each Search Results occurs in search engine, the position weights of Search Results in search engine are respectively: 50, 40, 30, 20, 10, because same Search Results may appear in different search engines, therefore get the weighted mean value of this Search Results position weights in different engines as the position weights of this Search Results, for example Search Results a is at search engine A, B, D, position weights in E are respectively 50, 10, 20, 50, the position weights of Search Results a are (50+10+20+50)/4=32.5, utilize the method to calculate the position weights of other Search Results, calculate b, c, d, e, f, h, k, m, n, the position weights of o are respectively: 10, 45, 23.3, 50, 40, 15, 35, 40, 25, 30.Analyze the number of times that Search Results appears at partner, the number of times that each Search Results after statistics re-scheduling appears at partner is respectively: 4,2,2,3,3,2,2,2,2,2,1, and the number of times that appears at partner according to Search Results determines that number of times weights are respectively 40,20,20,30,30,20,20,20,20,20,10.The position weights that the correlativity weights of search engine are Search Results and the weighting weights of number of times weights, the many engines correlativity weights that obtain each Search Results are respectively: 72.5,30,65,53.3,80,60,35,55,60,45,40.
Step S230, according to the user behavior weights of each Search Results and search engine relevance weights, carries out the Search Results of all search engines integrated ordered, obtains desirable integrated ordered result.
Particularly, calculate respectively the user behavior weights of each Search Results and the weighting weights of the search engine relevance weights weighted value as each Search Results, according to the weighted value of each Search Results order from high to low, the Search Results of all search engines is sorted, desirable integrated ordered result is to sort and obtain according to the weighted value of each Search Results order from high to low.The weighted value that calculates each Search Results is respectively: 92.5,48,90,63.3,94,75,47,74,81,58,56, according to the weighted value of each Search Results order from high to low, the Search Results of all search engines is sorted, obtain desirable integrated ordered result and be: e, a, c, m, f, k, d, n, o, b, h.
Step S240, utilizes desirable integrated ordered result, the Search Results of each search engine is reset respectively, and each search engine is sorted.
Particularly, according to the desirable integrated ordered result obtaining in step S220, the Search Results of each search engine in step S200 is reset, the sequencing of the Search Results that more preferably, each search engine is reset should be consistent with the sequencing of desirable integrated ordered result.The Search Results of search engine A after rearrangement is: e, a, c, d, b; The Search Results of search engine B is: e, a, c, f, h; The Search Results of search engine C is: m, f, k, d, b; The Search Results of search engine D is: a, m, k, n, h; The Search Results of search engine E is: e, a, d, n, o.
Calculate the summation of weighted value of all Search Results of each search engine as the weighted value of this search engine, according to the weighted value of each search engine, each search engine is sorted.For example, the weighted value sum of all Search Results of search engine A is: 94+92.5+90+63.3+48=387.8, the weighted value of all Search Results of calculating search engine B, C, D, E of using the same method is respectively: 398.5,341.3,352.5,363.8, according to the user behavior sum of Search Results in the search engine calculating, each search engine is sorted, the sequence that obtains each search engine is: B, A, E, D, C.
The present embodiment is to obtain desirable integrated ordered result according to user behavior weights and search engine relevance weights.But the present invention is not limited only to this, also can be only according to user behavior weights or only obtain desirable integrated ordered result according to search engine relevance weights, concrete grammar and said method are similar, repeat no more herein.In addition, the present embodiment above circular of the weighted value of weighted value, the search engine of described user behavior weights, search engine relevance weights and each Search Results is concrete example of the present invention, according to actual conditions, can adjust concrete computing method.
Step S250, with the form of the online application of Shipping Options Page represent the ranking results of each search engine and reset after the Search Results of each search engine.
After the Search Results of each search engine of client after obtaining the ranking results of each search engine and resetting, represent with the form of the online application of Shipping Options Page.This ways of presentation can be diversified, for instance, in online application, represent respectively each search engine with multiple buttons with sequencing, wherein, the order of multiple buttons is consistent with the sequencing of each search engine, by switch the Search Results that represents each search engine after rearrangement between multiple buttons.By this online application, user can open-and-shutly know that the Search Results which search engine provides is preferably, and which Search Results providing is preferably, and user can be according to recommending preferential selection.
The method providing according to the above embodiment of the present invention, receive user's searching request, obtain respectively the Search Results that each search engine response searching request obtains, the Search Results of each search engine is carried out to re-scheduling processing, obtain user behavior weights and the search engine relevance weights of each Search Results, according to the user behavior weights of each Search Results and search engine relevance weights, the Search Results of all search engines is carried out integrated ordered, obtain desirable integrated ordered result, utilize desirable integrated ordered result, Search Results to each search engine is reset respectively, and each search engine is sorted, with the form of the online application of Shipping Options Page represent the ranking results of each search engine and reset after the Search Results of each search engine.The method is first carried out re-scheduling processing to Search Results, then Search Results is reset and search engine is sorted according to user behavior weights and search engine relevance weights, the large data about user behavior in the whole network are utilized, can sort to Search Results more accurately and search engine be sorted, thereby be better than the resource disappearance of independent search engine, large shortage of data and sequence, make that each search engine sequence in multiple search engine is optimized, sorting between engine is also optimized.
Fig. 3 shows the structural representation of the collator of multiple search engine Search Results according to an embodiment of the invention.As shown in Figure 3, this device comprises: customer requirement retrieval module 300, multiple search engine result acquisition module 310, order module 320, multiple search engine result presentation module 330.
Customer requirement retrieval module 300, is suitable for receiving user's searching request.
Multiple search engine result acquisition module 310, is suitable for obtaining respectively the Search Results that each search engine response searching request obtains.
Integrated ordered submodule 340, is suitable for the user behavior weights according to each Search Results, the Search Results of all search engines is carried out integrated ordered, obtains desirable integrated ordered result.
Integrated ordered submodule 340 further comprises: weight calculation unit 370, is suitable for obtaining user behavior weights and the search engine relevance weights of each Search Results.
User behavior weights major embodiment the click volume of the whole network user to a certain Search Results.
Integrated ordered unit 380, is suitable for according to the user behavior weights of each Search Results and search engine relevance weights, the Search Results of all search engines is carried out integrated ordered, obtains desirable integrated ordered result.
Integrated ordered unit 380 is further adapted for: calculate respectively the user behavior weights of each Search Results and the weighting weights of the search engine relevance weights weighted value as each Search Results, according to the weighted value of each Search Results order from high to low, the Search Results of all search engines is sorted.
Multiple search engine result is reset submodule 350, is suitable for utilizing desirable integrated ordered result, and the Search Results of each search engine is reset respectively;
Multiple search engine sequence submodule 360, is suitable for utilizing desirable integrated ordered result, and each search engine is sorted.
Desirable integrated ordered result is to sort and obtain according to the weighted value of each Search Results order from high to low;
Multiple search engine sequence submodule 360 is further adapted for: calculate the summation of weighted value of all Search Results of each search engine as the weighted value of this search engine; According to the weighted value of each search engine, each search engine is sorted.
Multiple search engine result presentation module 330, be suitable for the form of the online application of Shipping Options Page represent the ranking results of each search engine and reset after the Search Results of each search engine.
Multiple search engine result presentation module 330 is further adapted for: in online application, represent respectively each search engine with multiple buttons with sequencing, wherein, the order of multiple buttons is consistent with the sequencing of each search engine, by switch the Search Results that represents each search engine after rearrangement between multiple buttons.
Alternatively, collator also comprises: re-scheduling module 390, is suitable for the Search Results of each search engine to carry out re-scheduling processing.
The Search Results that re-scheduling module 390 is suitable for multiple search engine result acquisition module 310 to obtain carries out re-scheduling processing.
The device providing according to the above embodiment of the present invention, after receiving user's searching request, obtain respectively the Search Results that each search engine response searching request obtains, according to the user behavior weights of each Search Results, Search Results to each search engine is reset respectively, and each search engine is sorted, with the form of the online application of Shipping Options Page represent the ranking results of each search engine and reset after the Search Results of each search engine.This device first carries out re-scheduling processing to Search Results, then Search Results is reset and search engine is sorted according to user behavior weights and search engine relevance weights, the large data about user behavior in the whole network are utilized, can sort to Search Results more accurately and search engine be sorted, thereby be better than the resource disappearance of independent search engine, large shortage of data and sequence, make that each search engine sequence in multiple search engine is optimized, sorting between engine is also optimized.
The algorithm providing at this is intrinsic not relevant to any certain computer, virtual system or miscellaneous equipment with demonstration.Various general-purpose systems also can with based on using together with this teaching.According to description above, it is apparent constructing the desired structure of this type systematic.In addition, the present invention is not also for any certain programmed language.It should be understood that and can utilize various programming languages to realize content of the present invention described here, and the description of above language-specific being done is in order to disclose preferred forms of the present invention.
In the instructions that provided herein, a large amount of details are described.But, can understand, embodiments of the invention can be put into practice in the situation that there is no 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 one or more in each inventive aspect, in the above in the description of exemplary embodiment of the present invention, each feature of the present invention is grouped together into single embodiment, figure or sometimes in its description.But, the method for the disclosure should be construed to the following intention of reflection: the present invention for required protection requires than the more feature of feature of clearly recording in each claim.Or rather, as reflected in claims below, inventive aspect is to be less than all features of disclosed single embodiment above.Therefore, claims of 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 can the module in the equipment in embodiment are adaptively changed 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 can put them in addition multiple submodules or subelement or sub-component.At least some in such feature and/or process or unit are mutually repelling, and can adopt any combination to combine all processes or the unit of disclosed all features in this instructions (comprising claim, summary and the accompanying drawing followed) and disclosed any method like this or equipment.Unless clearly statement in addition, in this instructions (comprising claim, summary and the accompanying drawing followed) disclosed each feature can be by providing identical, be equal to or the alternative features of similar object replaces.
In addition, those skilled in the art can understand, although embodiment more described herein comprise some feature instead of further feature included in other embodiment, the combination of the feature of different embodiment means within scope of the present invention and forms different embodiment.For example, in the following claims, the one of any of embodiment required for protection can be used with array mode arbitrarily.
All parts embodiment of the present invention can realize with hardware, or realizes with the software module of moving on one or more processor, or realizes with their combination.It will be understood by those of skill in the art that and can use in practice microprocessor or digital signal processor (DSP) to realize according to the some or all functions of the some or all parts in the sequencing equipment of the multiple search engine Search Results of the embodiment of the present invention.The present invention can also be embodied as part or all equipment or the device program (for example, computer program and computer program) for carrying out method as described herein.Realizing program of the present invention and can be stored on computer-readable medium like this, or can there is the form of one or more signal.Such signal can be downloaded and obtain from internet website, or provides on carrier signal, or provides with any other form.
It should be noted above-described embodiment the present invention will be described instead of limit the invention, and those skilled in the art can design alternative embodiment in the case of 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 is not listed as element or step in the claims.Being positioned at word " " before element or " one " does not get rid of and has multiple such elements.The present invention can be 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 of having enumerated some devices, several in these devices can be to carry out imbody by same hardware branch.The use of word first, second and C grade does not represent any order.Can be title by these word explanations.
Claims (10)
1. a sort method for multiple search engine Search Results, comprising:
Receive user's searching request, obtain respectively the Search Results that searching request obtains described in each search engine response;
According to the user behavior weights of each Search Results, the Search Results of each search engine is reset respectively, and each search engine is sorted;
With the form of the online application of Shipping Options Page represent the ranking results of each search engine and reset after the Search Results of each search engine.
2. sort method according to claim 1, describedly resets respectively the Search Results of each search engine according to the user behavior weights of each Search Results, and each search engine is sorted and further comprised:
According to the user behavior weights of each Search Results, the Search Results of all search engines is carried out integrated ordered, obtain desirable integrated ordered result;
Utilize described desirable integrated ordered result, the Search Results of each search engine is reset respectively, and each search engine is sorted.
3. sort method according to claim 1 and 2, the form of the described online application with Shipping Options Page represent the ranking results of each search engine and reset after the Search Results of each search engine further comprise:
In described online application, represent respectively each search engine with multiple buttons with sequencing, wherein, the order of described multiple buttons is consistent with the sequencing of described each search engine, by switch the Search Results that represents each search engine after rearrangement between described multiple buttons.
4. according to the sort method described in claim 1-3 any one, described according to the user behavior weights of each Search Results, the Search Results of all search engines is carried out integrated ordered, obtain desirable integrated ordered result and further comprise:
Obtain user behavior weights and the search engine relevance weights of each Search Results;
According to the user behavior weights of each Search Results and search engine relevance weights, the Search Results of all search engines is carried out integrated ordered, obtain desirable integrated ordered result.
5. according to the sort method described in claim 1-4 any one, the user behavior weights that obtain each Search Results are specially: add up the click volume of the whole network user to Search Results, calculate the user behavior weights of Search Results according to click volume.
6. according to the sort method described in claim 1-5 any one, the search engine relevance weights that obtain each Search Results are specially:
Analyze described Search Results and appear at the position of each search engine and appear at the number of times of partner, the number of times that appears at the position of each search engine and appear at partner according to described Search Results calculates search engine relevance weights.
7. according to the sort method described in claim 1-6 any one, described according to the user behavior weights of each Search Results and search engine relevance weights, the Search Results of all search engines is carried out integrated ordered, obtains desirable integrated ordered result and further comprise:
Calculate respectively the described user behavior weights of each Search Results and the weighting weights of the described search engine relevance weights weighted value as each Search Results, according to the described weighted value of each Search Results order from high to low, the Search Results of described all search engines is sorted.
8. according to the sort method described in claim 1-7 any one, described desirable integrated ordered result is to sort and obtain according to the weighted value of each Search Results order from high to low;
Describedly utilize described desirable integrated ordered result, each search engine sorted and further comprised:
Calculate the summation of weighted value of all Search Results of each search engine as the weighted value of this search engine;
According to the weighted value of each search engine, each search engine is sorted.
9. according to the sort method described in claim 1-8 any one, the Search Results of all search engines is carried out integrated ordered described, obtain also comprising before desirable integrated ordered result:
The Search Results of described each search engine is carried out to re-scheduling processing.
10. a collator for multiple search engine Search Results, comprising:
Customer requirement retrieval module, is suitable for receiving user's searching request;
Multiple search engine result acquisition module, is suitable for obtaining respectively the Search Results that searching request obtains described in each search engine response;
Order module, is suitable for the user behavior weights according to each Search Results, the Search Results of each search engine is reset respectively, and each search engine is sorted;
Multiple search engine result presentation module, be suitable for the form of the online application of Shipping Options Page represent the ranking results of each search engine and reset after the Search Results of each search engine.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410139320.5A CN103870607A (en) | 2014-04-08 | 2014-04-08 | Sequencing method and device of search results of multiple search engines |
| PCT/CN2015/076111 WO2015154679A1 (en) | 2014-04-08 | 2015-04-08 | Method and device for ranking search results of multiple search engines |
Applications Claiming Priority (1)
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| WO2015154679A1 (en) | 2015-10-15 |
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