CN105335373A - Information searching method and apparatus - Google Patents
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- CN105335373A CN105335373A CN201410271128.1A CN201410271128A CN105335373A CN 105335373 A CN105335373 A CN 105335373A CN 201410271128 A CN201410271128 A CN 201410271128A CN 105335373 A CN105335373 A CN 105335373A
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Abstract
The present invention provides an information searching method and apparatus. The method comprises: receiving a search request from a client, and sending the search request to a search engine cluster; receiving search results that are from different information sources and that are returned by the search engine cluster, and mixing and sorting the search results from the different information sources according to a predetermined parameter; and performing sequence adjustment on a search result that ranks first and that is lower than a predetermined standard and a search result that ranks last and that is higher than the predetermined standard, and returning the adjusted search results to the client, so that the client provides a search result page according to the adjusted search results. The information searching method and apparatus provided by embodiments of the present invention solve the problem of the unreasonable search results caused by a fixed ratio of search results of different information sources in a search result page, thereby better meeting searching demands of users, and improving the searching satisfaction level of users.
Description
Technical field
The present invention relates to Internet technical field, particularly relate to a kind of information search method and device.
Background technology
At present, user washes in a pan the commodity of search engine search subscriber needs by E-commerce Search Engine such as, E-commerce Search Engine such as one is washed in a pan search engine search and is checked relevant product by returning a result of page searching (SearchResultPage, SRP) relevant to the query word that user inputs for user for user.
E-commerce Search Engine is a kind of search engine of verticalization, and the Search Results source in its SRP has multiple, and such as washing in a pan the commodity that can search in search one may from different commodity data platform.Exemplary, these commodity data platforms comprise the B2C (Business-to-Customer such as Taobao, sky cat net, Amazon net, Dangdang.com, business is to visitor) or the data platform of C2C (Customer-to-Customer, visitor to visitor) website.A certain specific search engine can obtain the various features of the commodity of some data platform, but the feature of the commodity for other data platform, and this search engine might not obtain all related datas.In addition, due to the difference of such as customer flow, the not equal factor of data integrity, the data of separate sources do not have comparability under many circumstances.Under SRP, sequence is unified to the Search Results of separate sources and will cause inequitable problem, such as, one washes in a pan search engine can not the sales volume of acquisition station outer businessman merchandising, if but sales volume is the key factor of sequence, sales volume data are not supplied to once the data platform washing in a pan search engine commodity and sales volume data are supplied to the commodity of data platform washing in a pan search engine and do not there is comparability, if now sorted to Search Results according to sales volume, unfairness.
Strategy solution Search Results at present by mixing carries out unifying inequitable problem that sorts, particularly, mixing can be carried out according to the mode of fixed proportion in multiple source, thus make the commodity all having the separate sources of fixed proportion in the every one page in SRP, the feature had by it in same source sorts, and does not need to compare between separate sources.But the strategy above by mixing can solve Search Results to a certain extent to carry out unifying inequitable problem that sorts, but it brings again other unfair problem.The type of service that the query word that the main type of service of data platform (i.e. commodity data classification) and the user in some source inputs relates to is close, but the type of service that the main type of service of other data platforms of originating the query word that non-user inputs relate to.Such as, user's input inquiry word in the search box of search engine is " leisure of jeans Korea Spro version ", and the business that the data platform in some source is main is exactly dress ornament class commodity, and therefore user can obtain more commodity data information from these data platforms of originating; And the main business of data platforms in other sources is electric type commodity, the commodity data information that user can obtain in the data platform in these sources is fewer.If now carry out mixing in strict accordance with ratio to Search Results, the businessman that the type of service that the commodity that namely businessman's commodity of separate sources strictly occupy certain proportion quantity in each search results pages obviously relate to those main businesses and user's input information is more close is unfair.
Therefore can find out, the strategy of mixing has attracted again other unfair problem when the unfair problem of the search results ranking solving E-commerce Search Engine.That is, still there is irrational problem in the search results ranking that current E-commerce Search Engine provides, and the search experience of user is unsatisfactory.
Summary of the invention
The present invention is intended to solve one of technical matters in correlation technique at least to a certain extent.
For this reason, first object of the present invention is to propose a kind of information search method, the Search Results ratio this method solving different aforementioned sources in search results pages is fixed and the irrational problem of Search Results caused, meet the search need of user better, improve the search satisfaction of user.
Second object of the present invention is to propose a kind of information retrieval device.
For reaching above-mentioned purpose, first aspect present invention embodiment proposes a kind of information search method, comprising: receive the searching request from client, and sends described searching request to multi-search engine; Receive the Search Results from different aforementioned sources that described multi-search engine returns, and according to preset parameter, mixed sequencing by merging is carried out to the Search Results from different aforementioned sources; And sequence is carried out sequentially adjustment with sequence at rear and higher than preassigned Search Results at front and lower than preassigned Search Results, and return the Search Results after adjustment to described client, provide search results pages to make described client according to the Search Results after described adjustment.
The information search method of the embodiment of the present invention, by carrying out mixed sequencing by merging according to preset parameter to the Search Results from different aforementioned sources, and sequence is carried out sequentially adjustment with sequence at rear and higher than preassigned Search Results at front and lower than preassigned Search Results, then the Search Results after adjustment is returned to client, thus make client can meet the search need of user better according to the search results pages that the Search Results after adjustment provides, the Search Results ratio solving different aforementioned sources in search results pages is fixed and the irrational problem of Search Results caused, improve the search satisfaction of user.
For reaching above-mentioned purpose, second aspect present invention embodiment proposes a kind of information retrieval device, comprising: forwarding module, for receiving the searching request from client, and sends described searching request to multi-search engine; Mixing module, for receiving the Search Results from different aforementioned sources that described multi-search engine returns, and carries out mixed sequencing by merging according to preset parameter to the Search Results from different aforementioned sources; And adjusting module, for by sequence front and lower than the Search Results of preassigned and sequence rear and carry out the adjustment of sorting higher than the Search Results of preassigned, and return the Search Results after adjustment to described client, provide search results pages to make described client according to the Search Results after described adjustment.
The information retrieval device of the embodiment of the present invention, searching request is sent to multi-search engine by forwarding module, receive by mixing module the Search Results from different aforementioned sources that above-mentioned multi-search engine returns, and according to preset parameter, mixed sequencing by merging is carried out to the Search Results from different aforementioned sources; By adjusting module, sequence is carried out sequentially adjustment with sequence at rear and higher than preassigned Search Results at front and lower than preassigned Search Results, and return the Search Results after adjustment to above-mentioned client, thus make the search results pages that client provides according to the Search Results after adjustment, the search need of user can be met better, the Search Results ratio solving different aforementioned sources in search results pages is fixed and the irrational problem of Search Results caused, and improves the search satisfaction of user.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of information search method according to an embodiment of the invention.
Fig. 2 is the structural representation of server according to an embodiment of the invention.
Fig. 3 is the page schematic diagram one according to an embodiment of the invention after hybrid-sorting.
Fig. 4 is the page schematic diagram two according to an embodiment of the invention after hybrid-sorting.
Fig. 5 completes the page schematic diagram after exchanging according to an embodiment of the invention.
Fig. 6 is the process flow diagram adjusting Search Results according to an embodiment of the invention.
Fig. 7 is the structural representation of information retrieval device according to an embodiment of the invention.
Fig. 8 is the structural representation of information retrieval device in accordance with another embodiment of the present invention.
Embodiment
Be described below in detail embodiments of the invention, the example of described embodiment is shown in the drawings, and wherein same or similar label represents same or similar element or has element that is identical or similar functions from start to finish.Be exemplary below by the embodiment be described with reference to the drawings, be intended to for explaining the present invention, and can not limitation of the present invention be interpreted as.
Below with reference to the accompanying drawings information search method and the device of the embodiment of the present invention are described.
Fig. 1 is the process flow diagram of information search method according to an embodiment of the invention, this embodiment is described from server side, as shown in Figure 2, server can comprise multiple service node, such as be polymerized (aggregator) node, rearrangement (rerank) node and one or more multi-search engine (N number of multi-search engine shown in Fig. 2, wherein, comprising: multi-search engine 1, multi-search engine 2 ... multi-search engine N).Wherein, each multi-search engine comprises at least one search engine.The data platform of the corresponding separate sources of different multi-search engines.Such as, multi-search engine 1 and multi-search engine 2 can as the multi-search engines corresponding to the commodity of two separate sources.Aggregation can as the Heterogeneous Data Processing platform of multi-search engine.
It should be noted that, the aggregation in the embodiment of the present application or rearrangement node are in fact the software modules be positioned on server, also can be the corresponding server realizing polymerization or reset function.
As shown in Figure 1, this information search method comprises:
S101, receives the searching request from client, and sends searching request to multi-search engine.
User is after client inputted search word, client generates searching request, and send this searching request to server, wherein, after the aggregation of server side receives this searching request, send it to the multi-search engine of corresponding different aforementioned sources, particularly, multiple multi-search engines as shown in Figure 2 can be sent to, wherein, the information source that each multi-search engine is corresponding different, the information source in this embodiment can comprise Taobao, sky cat, when when and the commodity data platform such as Amazon.
S102, receives the Search Results from different aforementioned sources that multi-search engine returns, and carries out mixed sequencing by merging according to preset parameter to the Search Results from different aforementioned sources.
Each multi-search engine, after receiving searching request, obtains Search Results from the information source of correspondence, and returns the Search Results after sequence to aggregation.After the Search Results of aggregation after receiving sequence, obtain preset parameter, and according to preset parameter, mixed sequencing by merging is carried out to the Search Results from different aforementioned sources.Wherein, preset parameter comprises the ratio of Search Results shared by each search results pages of Search Results sum and the different aforementioned sources comprised in each search results pages.Such as, obtain the Search Results that can comprise in each search results pages and add up to 10, suppose to obtain the commodity data 20 from sky cat, from the commodity data of working as 15, and can determine that the ratio shared in each search results pages of the commodity data of day cat and Dang Dang is 50% according to preset parameter, then from the Search Results of sky cat and Dang Dang, respectively obtain 5 commodity datas respectively mix and sort, these 10 commodity composition first pages (completely corresponding with the content of the first result of page searching) herein, repeat aforesaid operations, obtain second page successively, 3rd page and the 4th page, just due to from the want of goods of working as, so the 4th page only comprises 5 bars of commodity from sky cat.
In addition, in order to ensure not have a lot of businessman repeated in each search results pages, this preset parameter can also comprise the maximum search number of results of the same attribute from different aforementioned sources comprised in each search results pages, namely the maximum commodity number from same businessman comprised in each search results pages, assuming that be 3 from the maximum commodity number of same businessman, then above-mentioned first page is at least two to each page in the 4th page from the businessman of same information source, such as, commodity in second page are specially: from the commodity a1 of Tian Mao A1 businessman, a2 and a3, from the commodity a4 of Tian Mao A2 businessman, a5, from commodity b1 and b2 when B1 businessman, from the commodity b3 when B2 businessman, b4, from the commodity b5 when B3 businessman, content of pages after hybrid-sorting as shown in Figure 3, again such as, commodity in 3rd page are specially: from the commodity a6 of Tian Mao A1 businessman, a7 and a8, from the commodity a9 of Tian Mao A2 businessman, a10, from commodity b6 and b7 when B1 businessman, from the commodity b8 when B2 businessman, b9, from the commodity b10 when B3 businessman, content of pages after hybrid-sorting as shown in Figure 4.As can be seen here, adopt S102 can ensure in each search results pages, not have a lot of businessman repeated, thus ensure that the number ratio of the businessman comprised in each search results pages is more, further ensure the diversity of information.
It should be noted that, Fig. 3 and Fig. 4 is only schematic diagram, and in actual applications, the page can be other forms.
S103, by sequence front and lower than the Search Results of preassigned and sequence rear and carry out the adjustment of sorting higher than the Search Results of preassigned, and return the Search Results after adjustment to client, provide search results pages to make client according to the Search Results after adjustment.
Above-mentioned adjustment operation can have been come by aggregation, also can have been come by rerank node, if but come by aggregation, implementation efficiency is lower, if come by rerank node, implementation efficiency is high, because: Rerank node is relatively more independent, less with the coupling of other nodes; Particularly, the commodity be input as after hybrid-sorting of Rerank node, exporting also is the commodity of same quantity, for called side and aggregation, only need to transmit and receive these commodity set, do not need the concrete logic knowing Rerank node, so very transparent, coupling is very little.
In actual applications, because user substantially pays close attention to the Search Results of former pages, so need satisfactory commodity in commodity undesirable in former page and the last few pages to exchange, to meet the search need of user better.
Such as, as can be seen from Fig. 3 and Fig. 4, Search Results after hybrid-sorting comprises the commodity of different businessman, but the credit worthiness of certain businessman in the preceding page that likely sorts is very low, such as the credit worthiness of Tu3Zhong businessman B3 is very low, and the credit worthiness of certain businessman in the posterior page that sorts is very high, the credit worthiness of such as, businessman A1 in Fig. 4 is very high, now, the commodity a6 of the commodity B5 of Tu3Zhong businessman B3 and Tu4Zhong businessman A1 can be adjusted, such as exchange, complete the second page face after exchanging as shown in Figure 5, the information comprised in the preceding page of sequence can be made so more to meet the demand of user.Certainly, above-mentioned creditworthiness information is only an example, in actual applications, and can also based on other information of businessman as criterion.
Below for Fig. 6, describe the process of adjustment Search Results, assuming that in this embodiment, adopt the mode of exchanging to adjust Search Results, and the Search Results after hybrid-sorting has N page.This process comprises:
S601, the first search result set needing in preceding search results pages to adjust of determining to sort according to the information of attribute corresponding to Search Results.
Wherein, Search Results can be the commodity of businessman, the information of the attribute that Search Results is corresponding can be the class information of corresponding merchant, class information comprehensively can obtain one or more in the much informations such as the evaluation information of businessman according to the sales volume information of the creditworthiness information of businessman, businessman's commodity, user herein, certainly, the attribute information that Search Results is corresponding can also be other information, the relevant information of such as businessman and industry, also can be the relevant information etc. of businessman and classification, be not specifically limited herein.
Particularly, S601 can comprise S6011-S6015.
S6011, obtains commodity as current commodity in the past in N/2 page.
Particularly, the commodity in front N/2 page can be traveled through from back to front, namely when first time travels through, using last commodity in front N/2 page as current commodity, and mark for current commodity, when second time travels through, find the commodity of non-marking from back to front, the commodity of the non-marking that first is searched out as current commodity, the like.
S6012, judges the class information of the businessman that current commodity is corresponding, if class information is negative, then performs S6013, if class information is just, then turns to S6015.
In this embodiment, class information just can be, also can be negative, if just, showing that the product that this businessman provides is better, namely more can meet the search need of user, if do not bear, show that the product that this businessman provides is poor, namely can not meet the search need of user well.
S6013, judges whether the absolute value of class information is greater than 0, if be greater than, perform S6014, if be less than, then put into the 3rd search result set, turn to S6015.
The commodity putting into the 3rd search result set be the lower such as credit worthiness of rank lower businessman but still need the commodity that retain.
S6014, puts into the first search result set by current commodity, the absolute value of class information is subtracted one, turns to S6015.
S6015, judges whether current commodity is last commodity, if not, turn to S6011, if so, turn to S603.
In this embodiment, the commodity of non-marking can be found from back to front, if there are the commodity of non-marking, then show that current commodity is not last commodity, if there are not the commodity of non-marking, then show that current commodity is last commodity.
S602, the second search result set needing in posterior search results pages to exchange of determining to sort according to the information of attribute corresponding to Search Results.
Particularly, S602 can comprise S6021-S6025.
S6021, obtains commodity as current commodity from rear N/2 page.
Particularly, the commodity in rear N/2 page can be traveled through from front to back, namely when first time travels through, using first commodity in rear N/2 page as current commodity, and mark for current commodity, when second time travels through, find the commodity of non-marking from front to back, the commodity of the non-marking that first is searched out as current commodity, the like.
S6022, judges the class information of the businessman that current commodity is corresponding, if class information is just, then performs S6023, if class information is negative, then turns to S6025.
S6023, judges whether the absolute value of class information is greater than 0, if be greater than, perform S6024, if be less than, then put into the 3rd search result set, turn to S6025.
S6024, puts into the second search result set by current commodity, the absolute value of class information is subtracted one, turns to S6025.
S6025, judges whether current commodity is last commodity, if not, turn to S6021, if so, turn to S603.
In this embodiment, the commodity of non-marking can be found from front to back, if there are the commodity of non-marking, then show that current commodity is not last commodity, if there are not the commodity of non-marking, then show that current commodity is last commodity.
S603, exchanges the first search result set and the second search result set.
Exchange the commodity in the first search result set and the second search result set, complete after exchanging and empty the first search result set and the second search result set, and the 3rd search result set is exchanged to front N/2 page rearward position.
In this embodiment, adopt the class information of businessman as basis for estimation, both can find the commodity needing to exchange, the efficiency realized can be ensured again.
It should be noted that, the process of exchanging shown in Fig. 6 is only an example, can other be adopted as required to exchange mode in practical application.
Above-mentioned information search method embodiment, by carrying out mixed sequencing by merging according to preset parameter to the Search Results from different aforementioned sources, and sequence is carried out sequentially adjustment with sequence at rear and higher than preassigned Search Results at front and lower than preassigned Search Results, then the Search Results after adjustment is returned to client, thus make client can meet the search need of user better according to the search results pages that the Search Results after adjustment provides, the Search Results ratio solving different aforementioned sources in search results pages is fixed and the irrational problem of Search Results caused, improve the search satisfaction of user.
In order to realize above-described embodiment, the present invention also proposes a kind of searcher of information.
Fig. 7 is the structural representation of information retrieval device according to an embodiment of the invention.As shown in Figure 7, this device comprises: forwarding module 71, mixing module 72 and adjusting module 73, wherein:
Forwarding module 71 for receiving the searching request from client, and sends above-mentioned searching request to multi-search engine; The Search Results from different aforementioned sources that mixing module 72 returns for receiving above-mentioned multi-search engine, and according to preset parameter, mixed sequencing by merging is carried out to the Search Results from different aforementioned sources; Adjusting module 73 is for carrying out sequentially adjustment with sequence at rear and higher than preassigned Search Results at front and lower than preassigned Search Results by sequence, and return the Search Results after adjustment to above-mentioned client, provide search results pages to make above-mentioned client according to the Search Results after above-mentioned adjustment.
Wherein, different multi-search engines can be corresponding from different information sources, after searching request from client is sent to multiple multi-search engine by forwarding module 71, the Search Results from different aforementioned sources that multi-search engine returns is received by mixing module 72, wherein, the Search Results that rope engine cluster returns can be sorted Search Results, it can certainly be unsorted Search Results, if unsorted Search Results, mixing module 72 can first sort to improve follow-up treatment effeciency to the Search Results of different aforementioned sources respectively.
In addition, mixing module 72 above-mentioned according to preset parameter mixed sequencing by merging is carried out to the Search Results from different aforementioned sources before, obtain above-mentioned preset parameter, wherein, above-mentioned preset parameter comprises the ratio of Search Results shared by each search results pages of Search Results sum and the different aforementioned sources comprised in each search results pages.In order to ensure not have a lot of businessman repeated in each search results pages, this preset parameter can also comprise the maximum search number of results of the same attribute from different aforementioned sources comprised in each search results pages, namely the maximum commodity number from same businessman comprised in each search results pages, certainly, this same businessman can from Taobao maybe when working as.Mixing module 72 is after acquisition preset parameter, mix after can obtaining the Search Results of respective amount respectively from the Search Results after different aforementioned sources sequence according to above-mentioned preset parameter, and according to above-mentioned preassigned, mixed Search Results is sorted.So both ensure that the Search Results proportion from different aforementioned sources in each search results pages was fixed, namely solve isomeric data cannot the overall situation sequence problem, in turn ensure that the businessman comprised in each search results pages is many, ensure that the diversity of dimension.
In order to improve the quality of the Search Results comprised in each search results pages further, above-mentioned adjusting module 73 specifically for: the Search Results higher than above-mentioned preassigned comprised in the Search Results lower than above-mentioned preassigned that comprises in the preceding search results pages of sequence and the posterior search results pages of sequence is exchanged.
Due in actual applications, user substantially pays close attention to the Search Results of former pages, as long as so exchanged by satisfactory commodity in commodity undesirable in former page and the last few pages, just can meet the search need of user well.
Particularly, above-mentioned adjusting module 73 may be used for: the information calculating attribute corresponding to the Search Results that comprises in each search results pages; To determine to sort according to the information of above-mentioned attribute the second search result set needing in the first search result set and the posterior search results pages of sequence that to need in preceding search results pages to exchange to exchange, and above-mentioned first search result set and above-mentioned second search result set are exchanged.Its concrete implementation procedure see Fig. 6, can not repeat herein.
It should be noted that, above-mentioned forwarding module 71, mixing module 72 and adjusting module 73 is logic module, in actual applications, forwarding module 71 and mixing module 72 can be arranged in aggregation, and adjusting module 73 can be arranged in resets node, as shown in Figure 8, certainly, above-mentioned forwarding module 71, mixing module 72 and adjusting module 73 also all can be arranged in aggregation, if but to be all arranged in aggregation implementation complexity high, and efficiency is low.
Above-mentioned information retrieval device embodiment, searching request is sent to multi-search engine by forwarding module, receive by mixing module the Search Results from different aforementioned sources that above-mentioned multi-search engine returns, and according to preset parameter, mixed sequencing by merging is carried out to the Search Results from different aforementioned sources; By adjusting module, sequence is carried out sequentially adjustment with sequence at rear and higher than preassigned Search Results at front and lower than preassigned Search Results, and return the Search Results after adjustment to above-mentioned client, thus make the search results pages that client provides according to the Search Results after adjustment, the search need of user can be met better, the Search Results ratio solving different aforementioned sources in search results pages is fixed and the irrational problem of Search Results caused, and improves the search satisfaction of user.
In the description of this instructions, specific features, structure, material or feature that the description of reference term " embodiment ", " some embodiments ", " example ", " concrete example " or " some examples " etc. means to describe in conjunction with this embodiment or example are contained at least one embodiment of the present invention or example.In this manual, to the schematic representation of above-mentioned term not must for be identical embodiment or example.And the specific features of description, structure, material or feature can combine in one or more embodiment in office or example in an appropriate manner.In addition, when not conflicting, the feature of the different embodiment described in this instructions or example and different embodiment or example can carry out combining and combining by those skilled in the art.
In addition, term " first ", " second " only for describing object, and can not be interpreted as instruction or hint relative importance or imply the quantity indicating indicated technical characteristic.Thus, be limited with " first ", the feature of " second " can express or impliedly comprise at least one this feature.In describing the invention, the implication of " multiple " is at least two, such as two, three etc., unless otherwise expressly limited specifically.
Describe and can be understood in process flow diagram or in this any process otherwise described or method, represent and comprise one or more for realizing the module of the code of the executable instruction of the step of specific logical function or process, fragment or part, and the scope of the preferred embodiment of the present invention comprises other realization, wherein can not according to order that is shown or that discuss, comprise according to involved function by the mode while of basic or by contrary order, carry out n-back test, this should understand by embodiments of the invention person of ordinary skill in the field.
In flow charts represent or in this logic otherwise described and/or step, such as, the sequencing list of the executable instruction for realizing logic function can be considered to, may be embodied in any computer-readable medium, for instruction execution system, device or equipment (as computer based system, comprise the system of processor or other can from instruction execution system, device or equipment instruction fetch and perform the system of instruction) use, or to use in conjunction with these instruction execution systems, device or equipment.With regard to this instructions, " computer-readable medium " can be anyly can to comprise, store, communicate, propagate or transmission procedure for instruction execution system, device or equipment or the device that uses in conjunction with these instruction execution systems, device or equipment.The example more specifically (non-exhaustive list) of computer-readable medium comprises following: the electrical connection section (electronic installation) with one or more wiring, portable computer diskette box (magnetic device), random access memory (RAM), ROM (read-only memory) (ROM), erasablely edit ROM (read-only memory) (EPROM or flash memory), fiber device, and portable optic disk ROM (read-only memory) (CDROM).In addition, computer-readable medium can be even paper or other suitable media that can print described program thereon, because can such as by carrying out optical scanning to paper or other media, then carry out editing, decipher or carry out process with other suitable methods if desired and electronically obtain described program, be then stored in computer memory.
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 step or method can with to store in memory and the software performed by suitable instruction execution system or firmware realize.Such as, 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: the discrete logic with the logic gates for realizing logic function to data-signal, there is the special IC of suitable combinational logic gate circuit, programmable gate array (PGA), field programmable gate array (FPGA) etc.
Those skilled in the art are appreciated that realizing all or part of step that above-described embodiment method carries is that the hardware that can carry out instruction relevant by program completes, described program can be stored in a kind of computer-readable recording medium, this program perform time, step comprising embodiment of the method one or a combination set of.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing module, also can be that the independent physics of unit exists, also can be integrated in a module by two or more unit.Above-mentioned integrated module both can adopt the form of hardware to realize, and the form of software function module also can be adopted to realize.If described integrated module using the form of software function module realize and as independently production marketing or use time, also can be stored in a computer read/write memory medium.
The above-mentioned storage medium mentioned can be ROM (read-only memory), disk or CD etc.Although illustrate and describe embodiments of the invention above, be understandable that, above-described embodiment is exemplary, can not be interpreted as limitation of the present invention, and those of ordinary skill in the art can change above-described embodiment within the scope of the invention, revises, replace and modification.
Claims (12)
1. an information search method, is characterized in that, comprising:
Receive the searching request from client, and send described searching request to multi-search engine;
Receive the Search Results from different aforementioned sources that described multi-search engine returns, and according to preset parameter, mixed sequencing by merging is carried out to the Search Results from different aforementioned sources; And
By sequence front and lower than the Search Results of preassigned and sequence rear and carry out the adjustment of sorting higher than the Search Results of preassigned, and return the Search Results after adjustment to described client, provide search results pages to make described client according to the Search Results after described adjustment.
2. method according to claim 1, is characterized in that, described according to preset parameter mixed sequencing by merging is carried out to the Search Results from different aforementioned sources before, also comprise:
Obtain described preset parameter, wherein, described preset parameter comprises the ratio of Search Results shared by each search results pages of Search Results sum and the different aforementioned sources comprised in each search results pages.
3. method according to claim 2, is characterized in that, described preset parameter also comprises: the maximum search number of results of the same attribute from different aforementioned sources comprised in each search results pages.
4. according to the method in claim 2 or 3, it is characterized in that, describedly according to preset parameter, mixed sequencing by merging carried out to the Search Results from different aforementioned sources, comprising:
Mix after obtaining the Search Results of respective amount respectively from the Search Results after different aforementioned sources sequence according to described preset parameter, and according to described preassigned, mixed Search Results is sorted.
5. the method according to the arbitrary claim of claim 1-4, is characterized in that, described by sequence front and lower than the Search Results of preassigned and sequence rear and carry out the adjustment of sorting higher than the Search Results of preassigned, comprising:
The Search Results higher than described preassigned comprised in the Search Results lower than described preassigned comprised in the preceding search results pages of sequence and the posterior search results pages of sequence is exchanged.
6. method according to claim 5, it is characterized in that, described the Search Results higher than described preassigned comprised in the Search Results lower than described preassigned that comprises in the preceding search results pages of sequence and the posterior search results pages of sequence to be exchanged, comprising:
Calculate the information of attribute corresponding to the Search Results that comprises in each search results pages;
To determine to sort according to the information of described attribute the second search result set needing in the first search result set and the posterior search results pages of sequence that to need in preceding search results pages to exchange to exchange, and described first search result set and described second search result set are exchanged.
7. an information retrieval device, is characterized in that, comprising:
Forwarding module, for receiving the searching request from client, and sends described searching request to multi-search engine;
Mixing module, for receiving the Search Results from different aforementioned sources that described multi-search engine returns, and carries out mixed sequencing by merging according to preset parameter to the Search Results from different aforementioned sources; And
Adjusting module, for by sequence front and lower than the Search Results of preassigned and sequence rear and carry out the adjustment of sorting higher than the Search Results of preassigned, and return the Search Results after adjustment to described client, provide search results pages to make described client according to the Search Results after described adjustment.
8. device according to claim 7, it is characterized in that, described mixing module, also for: described according to preset parameter mixed sequencing by merging is carried out to the Search Results from different aforementioned sources before, obtain described preset parameter, wherein, described preset parameter comprises the ratio of Search Results shared by each search results pages of Search Results sum and the different aforementioned sources comprised in each search results pages.
9. device according to claim 8, is characterized in that, described preset parameter also comprises: the maximum search number of results of the same attribute from different aforementioned sources comprised in each search results pages.
10. device according to claim 8 or claim 9, is characterized in that, described mixing module, specifically for:
Mix after obtaining the Search Results of respective amount respectively from the Search Results after different aforementioned sources sequence according to described preset parameter, and according to described preassigned, mixed Search Results is sorted.
11. devices according to the arbitrary claim of claim 7-10, is characterized in that, described adjusting module, specifically for:
The Search Results higher than described preassigned comprised in the Search Results lower than described preassigned comprised in the preceding search results pages of sequence and the posterior search results pages of sequence is exchanged.
12. devices according to claim 11, is characterized in that, described adjusting module, specifically for:
Calculate the information of attribute corresponding to the Search Results that comprises in each search results pages;
To determine to sort according to the information of described attribute the second search result set needing in the first search result set and the posterior search results pages of sequence that to need in preceding search results pages to exchange to exchange, and described first search result set and described second search result set are exchanged.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410271128.1A CN105335373A (en) | 2014-06-17 | 2014-06-17 | Information searching method and apparatus |
| HK16106490.4A HK1218453A1 (en) | 2014-06-17 | 2016-06-07 | Method and apparatus for searching for information |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201410271128.1A CN105335373A (en) | 2014-06-17 | 2014-06-17 | Information searching method and apparatus |
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| CN201410271128.1A Pending CN105335373A (en) | 2014-06-17 | 2014-06-17 | Information searching method and apparatus |
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| CN112989232A (en) * | 2019-12-17 | 2021-06-18 | 北京搜狗科技发展有限公司 | Search result ordering method and device |
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| Publication number | Publication date |
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| HK1218453A1 (en) | 2017-02-17 |
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