CN103034663A - Information searching method and equipment - Google Patents
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- CN103034663A CN103034663A CN201110305094XA CN201110305094A CN103034663A CN 103034663 A CN103034663 A CN 103034663A CN 201110305094X A CN201110305094X A CN 201110305094XA CN 201110305094 A CN201110305094 A CN 201110305094A CN 103034663 A CN103034663 A CN 103034663A
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Abstract
The invention discloses an information searching method and information searching equipment. The method comprises the following steps that a search server receives a search request carrying at least two key phrases, wherein each key phrase comprises one or a plurality of key words; the search server searches according to the key phrases in the search request and records objects obtained by searching and sets to which the objects belong; the search server extracts a set which appears in all the sets corresponding to the key phrases and acquires an object belonging to the extracted set from the objects obtained by searching; and the search server returns a search result which carries information of the extracted set and information of the object belonging to the extracted set. By the information searching method and the information searching equipment, searching efficiency is improved, search time of a user is reduced, interactive times of a user side and a server side are reduced, a load of the server is reduced and occupation on a network bandwidth is also reduced.
Description
Technical field
The application relates to the communications field, relates in particular to a kind of information search method and equipment.
Background technology
Present commercial articles searching server is supported fast text query by the text of needs inquiry is set up inverted index.The querying flow of commodity comprises as shown in Figure 1:
Along with the development of search technique and information content, large-scale search aggregated structure is developed application.Large-scale search aggregated structure adopts the mode of multiple lines and multiple rows to provide extensive height concurrent search service usually.Large-scale search cluster number of files is very large, build the storehouse after index very large, usually need to be divided into many parts, be placed on many searching machine (searcher), as shown in Figure 2, by a index of n platform machine complete.Simultaneously, because the number of users of searching for simultaneously is huge, a machine can't provide such height concurrent search service, so need to jointly provide service by the searching machine of the m with same index, wherein, the machine with same index is 1 row (Col), altogether the n row; Every delegation (Row) consists of a complete index, and m is capable altogether.
The basic process of large-scale search inquiry comprises in conjunction with shown in Figure 2:
1, after polymerization unit (merger) receives a searching request (query), (every probability that is selected is basic identical in 1 row to choose at random 1 searcher from every row searcher, to realize load balancing), and query sent to these searcher that select;
2, after every searcher that is selected out receives query requests query, searching keyword is carried out participle, then each token (mark) behind the participle inquires about its inverted list, and the inverted list of these token carried out set operation and position relationship calculates, obtain the final doclist (Query Result tabulation) of this searching keyword; Do set operation with other querying condition again, then carry out some statistics, rank (grade classification) and ordering after, the result is returned to merger;
3, after merger receives the return results of every searcher, gather, then the result is returned the user.
Under present search framework, no matter be general search or large-scale search, can satisfy and use the same merchandise news of one or more keyword queries.If the user need to inquire about a plurality of merchandise newss, then need respectively these a plurality of merchandise newss to be inquired about.Along with the development of search technique, there is such application demand, namely the user need to buy many commodity, and expectation finds a seller who sells simultaneously all commodity to buy.If realize this demand, adopt existing search technique to need the user repeatedly to submit to searching request to carry out information search, thereby cause that user's complicated operation, network resource overhead are large, search efficiency is lower.As seen, existing search technique is difficult to satisfy this demand.
Summary of the invention
The application provides a kind of information search method and equipment, to improve search efficiency, reduces taking of server burden and the network bandwidth.
In order to reach above purpose, the embodiment of the present application provides a kind of information search method, comprising:
Search server receives the searching request that carries at least 2 keyword sets, wherein comprises one or more keywords in each keyword sets;
Search server is searched for according to the keyword sets in the searching request, and the object that obtains of record searching and affiliated set thereof;
Search server is extracted in the set that all occurs in set corresponding to each keyword sets, and obtains the object that belongs to this set that extracts from the object that search obtains;
Search server returns Search Results, wherein carries the information and the information that belongs to the object of this set that extracts of this set that extracts.
The embodiment of the present application provides a kind of search server, comprising:
The request receiving module is used for receiving the searching request that carries at least 2 keyword sets, wherein comprises one or more keywords in each keyword sets;
The search processing module, the keyword sets in the searching request that receives according to the described request receiver module is searched for, and the object that obtains of record searching and affiliated set thereof;
The result treatment module is extracted in the set that all occurs in set corresponding to each keyword sets, and obtains the object that belongs to this set that extracts from the object that search obtains; Return Search Results, wherein carry the information and the information that belongs to the object of this set that extracts of this set that extracts.
Compared with prior art, the embodiment of the present application has the following advantages at least:
In the embodiment of the present application, the object that each keyword search in the search server basis keyword sets that gets access to is corresponding and affiliated set thereof, and statistics is to the separately set under the corresponding object that searches of each keyword sets, to search the set that in set corresponding to each keyword sets, all occurs, return as Search Results, thereby can satisfy in the prior art user when needs are bought many commodity, search the demand that a seller who sells simultaneously all commodity buys, this has improved search efficiency, reduced user's search time, and reduced the interaction times of user side and server end, reduce the burden of server, reduced simultaneously taking of the network bandwidth.
Description of drawings
Fig. 1 is the querying flow schematic diagram of commodity in the prior art;
Fig. 2 is the basic process schematic diagram of the medium-and-large-sized search inquiry of prior art;
Fig. 3 is the schematic flow sheet of the searching method that provides of the embodiment of the present application one;
Fig. 4 is the specific implementation process schematic diagram of the searching method that provides of the embodiment of the present application one;
Fig. 5 is searching method that the embodiment of the present application one the provides schematic flow sheet when using in large-scale search aggregated structure;
Fig. 6 A is the schematic diagram of the search interface of the searching method that provides of the embodiment of the present application;
Fig. 6 B～6D is the Search Results schematic diagram of the searching method that provides of the embodiment of the present application;
Fig. 7 is the schematic flow sheet of the searching method that provides of the embodiment of the present application two;
Fig. 8 is the structural representation of the search server that provides of the embodiment of the present application three.
Embodiment
Below in conjunction with the accompanying drawing among the application's the embodiment, the technical scheme among the application's the embodiment is clearly and completely described, obviously, the embodiments described below only are the application's part embodiment, rather than whole embodiment.Based on the embodiment among the application, other embodiment that those of ordinary skills obtain belong to the scope of the application's embodiment protection.
When the user wished by obtain the having multiple expectation commodity seller of (or claim target commodity) of search once, existing search technique can't satisfy user's needs.Similarly, when the user searches for magazine in some magazine bibliographic data bases, might need search to comprise simultaneously the many pieces of certain articles magazine of (or claiming the target article), and each piece certain articles all needs to search for by one or more keywords, and existing search technique also can't satisfy user's this needs.
For convenience, below the user is wished to search for the seller or the magazine that obtain be called set, the article that the commodity that the seller need to be comprised or magazine need to comprise is called object.
Among the application's the embodiment, allow the disposable input of the user keyword sets corresponding with a plurality of objects difference, comprise one or more keywords in this keyword sets; Search server is identified keyword sets corresponding to each object, and searches for according to keyword sets corresponding to each object respectively, and Search Results is gathered, and therefrom obtains comprising the set of all objects.For example, search server can show a plurality of search boxes to the user simultaneously in display interface, the corresponding object of the keyword sets in each search box; Search server also can show single search box to the user at display interface, but connect each keyword and each keyword sets in the same keyword sets with special symbol when requiring the user to input, can use " * " to connect such as each keyword in the same keyword sets; Use "+" to connect between different keyword sets.
Below by specific embodiment the searching method that the application provides is further introduced.
Embodiment one
The information search flow process that the embodiment of the present application one provides can as shown in Figure 3, comprise:
In the present embodiment, in order to be described clearly, (be described as commodity in following examples) take object as merchandise news and set is example as seller ID (being described as the seller in following examples), introduce the specific implementation process of step 302-303, as shown in Figure 4, comprising:
Need explanation, search server can not repeat to select the keyword sets of the same kind of goods.
Particularly, seller and commodity that search server obtains according to search are processed seller and the commodity of current record, this process can by but be not limited to following manner and realize:
Steps A, search server carry out the search first time according to keyword sets in the searching request that receives, and obtain and record the affiliated set of object and each object;
Step B, search server judge whether to exist not searched keyword sets; Then to go to step C if be judged as; Otherwise, go to step F;
Step C, search server are selected not searched keyword sets, search for according to this keyword sets;
Step D, search server judge to search in the set that obtains whether comprise the set identical with the set of current record; Then to go to step e if be judged as; Otherwise, go to step F;
Object in the identity set that step e, search server obtain search adds in the set of corresponding current record, and deletion is not included in the set that current search obtains in the set of current record, the set of the current record after obtaining upgrading, and go to step B;
Step F, flow process finish.
Below in conjunction with instantiation this flow process is further described in more detail.
Supposing that search server is searched for has for the first time obtained seller A and commodity A1, A2, seller B and commodity B1 thereof, seller C and commodity C1, C2; The seller that the search server record searching obtains and commodity thereof.When search server is searched for according to other keyword sets, such as for the second time search, seller B and commodity B2, B3 have been obtained, and seller C and commodity C2, C3, the seller (A, B and C) of the seller that the search server comparison search obtains (B and C) and current record, the seller A that finds current record does not appear among the seller that this search obtains, therefore, the seller A of deletion current record (owing to not having seller A among the seller that this search obtains, then seller A can not all occur in set corresponding to each keyword sets); And since the seller B of current record and C appear among the seller that this search obtains, therefore, add to according to the commodity of the seller B that this search is obtained and C in the commodity of the seller B of current record and C, namely after for the second time search, current record is updated to seller B and commodity B1, B2, B3, seller C and commodity C1, C2, C3.If searching for for the third time, search server obtains seller C and commodity C4 and seller D and commodity D1 thereof, because the seller B of current record does not appear among the seller that this search obtains, therefore, the seller B of deletion current record and the commodity that comprise thereof, and since the seller C of current record appear among the seller that current search obtains, therefore, the commodity of the seller C that this search is obtained add in the commodity of seller C of current record, and because therefore seller D record not in current record does not record the seller D that current search obtains; Namely after for the third time search, current record is updated to seller C and commodity C1, C2, C3 and C4.If this moment, the keyword sets in this searching request is all searched for, and the Search Results that this searching request finally obtains is seller C and commodity C1, C2, C3 and C4.And if current search does not finish, and the 4th search obtains seller E and commodity E1, E2, then since the seller of current record do not appear among the seller that this search obtains, this seller (being seller C) that deletion is recorded in the current record is not simultaneously because therefore seller E record not in current record records seller E, namely after the 4th search, the seller of current record is empty, and this time search routine finishes, and fails to obtain the seller who all occurs in seller corresponding to each keyword sets.
Preferably, for each seller in the Search Results each time, search server can only record this seller's commodity.These commodity can obtain by following manner: search server sorts to this seller's that search obtains commodity, first commodity behind the record ordering.Wherein, the mode that seller's commodity are sorted comprises according to price from low to high, perhaps according to the time of making the product by as far as near etc.
After step 404, search server finish the search of all keyword sets, according to seller and the commodity thereof of record, obtain the seller that in seller corresponding to each keyword sets, all occurs, and return Search Results.
Need explanation, when the optimal way in the employing step 403, each time search only can be recorded a seller's commodity, therefore the seller of final entry can comprise two kinds: a kind of seller's different commodity numbers are identical with the quantity of the keyword sets of user's input, and another kind of seller's different commodity numbers are less than the quantity of the keyword sets of user's input.At this moment, search server can be according to front a kind of seller and export of commodities Search Results thereof.
In the embodiment of the present application, when the user wishes to search for the set that comprises a plurality of objects, the keyword sets that user's input is corresponding with each object.The corresponding relation of search equipment identification keyword sets and object, keyword sets according to each object is searched for, and Search Results carried out aggregation process, comprised simultaneously the set of all objects, thereby can satisfy in the prior art user when needs are bought many commodity, search the demand that a seller who sells simultaneously all commodity buys, and the user is when searching for magazine in some magazine bibliographic data bases, search comprises the demand of the magazine of many pieces of certain articles simultaneously, improved search efficiency, reduced user's search time, and reduced the interaction times of user side and server end, reduce the burden of server, reduced simultaneously taking of the network bandwidth.
The searching method that provides in order more clearly to introduce the present embodiment, the below further introduces the method take the large-scale search aggregated structure in commercial articles searching field as example.At this moment, preferably, commodity are carried out pre-service, same seller's commodity are stored on the same server.In order better to support the total price lowest rank, same seller's commodity just sort according to price.The process that commodity are stored comprises: the commodity distributing equipment receives the merchandise news that the seller newly uploads, and calculates according to seller ID, and the server of seller's commodity storage stores the merchandise news of newly uploading into before server before obtaining.Wherein, the Searcher server is introduced as an example of seller ID and commodity ID example the recording mode of seller and commodity.
As shown in Figure 5, the application process of the method in large-scale search aggregated structure may further comprise the steps:
These a plurality of keywords are arranged with ad hoc fashion, for example separate with plus sige between the keyword of different commodity, separate with the space between the keyword of same commodity.Input mode can be to input in a search input frame with certain grammer, also can be to input in a plurality of input frames.
Particularly, preset the arrangement mode of keyword sets, the Searcher server is according to the arrangement mode identification keyword sets corresponding with each commodity of keyword sets.
The keyword sets of each commodity that the Searcher server will obtain sorts, and selects wherein a kind of keyword sets of commodity according to preset strategy, and this preset strategy can be random or select progressively.
Preferably, the Searcher server merges all commodity that satisfy condition that search obtains according to the seller, and namely a seller only keeps commodity, and the seller ID that record searching obtains in seller's table and the corresponding relation of these commodity ID.
Whether step 507 has recorded the seller ID that current search obtains before the Searcher server is judged.Then to go to step 508 if be judged as; Otherwise, go to step 510.
Wherein, when the determination result is NO, illustrate that this seller does not satisfy the commodity of front condition, therefore get rid of this seller.
Before judging, step 508, Searcher server whether recorded the corresponding relation of the commodity ID that this seller ID and current search obtain.Then to go to step 510 if be judged as; Otherwise, go to step 509.
Preferably, the corresponding commodity ID of each the seller ID that searches each time, these commodity ID obtains by following manner: the Searcher server sorts to this seller's that search obtains commodity, selects the commodity ID of first commodity as the commodity ID that belongs to this seller ID.Wherein, the mode that seller's commodity are sorted comprises according to price from low to high, perhaps according to the time of making the product by as far as near etc.
The Searcher server checks seller's table, if the number of a qualified commodity ID of seller is less than the number of the keyword sets of carrying in the searching request, be the number of commodity to be searched, show that then this seller does not have the commodity that satisfy all conditions, deletes this seller's record.For qualified seller, sort according to user's specified requirements (such as total price or the prestige corresponding to seller of commodity corresponding to qualified seller), return Search Results to merger.Same seller's commodity return together.For example, if specify the total price ordering, the Searcher server will calculate the total price of qualified all commodity of each seller, according to returning merger after the total price ordering.
The user can directly buy all commodity, perhaps enters a certain shop and continues to select, and perhaps re-enters querying condition and/or sort criteria etc. and searches for.
It should be noted that, in this embodiment, in guaranteeing each seller who obtains according to each keyword sets search, only comprise under the prerequisite of commodity, the Searcher server can also directly record search obtains according to each keyword sets seller ID and the corresponding relation of commodity ID, and after all keyword sets were all searched, the commodity ID quantity seller identical with keyword sets quantity that will comprise returned as Search Results.
In the embodiment of the present application, the Searcher server receives the searching request that carries a plurality of keyword sets, search for respectively according to each keyword sets, record each commodity and seller's corresponding relation, output comprises the seller of each commodity simultaneously, thereby can satisfy in the prior art user when needs are bought many commodity, search the demand that a seller who sells simultaneously all commodity buys, this has improved search efficiency, reduced user's search time, and reduced the interaction times of user side and server end, and reduced the burden of server, reduced simultaneously taking of the network bandwidth.
Referring to Fig. 6 A, 6B, 6C and 6D.Wherein, the search interface schematic diagram of a kind of information search method of providing for the embodiment of the invention of Fig. 6 A; Fig. 6 B, 6C and 6D be corresponding Search Results schematic diagram then, and Fig. 6 B, 6C and 6D show respectively the Search Results different sellers.In this embodiment, connect by "+" between the different keyword sets of a searching request.After search server obtains Search Results, can be according to the commodity total price in the Search Results to the Search Results corresponding to different sellers be sorted.
Embodiment two
The embodiment of the present application two provides a kind of searching method, is applied to search for the system of the set that comprises simultaneously a plurality of objects, and each object is searched for by the keyword sets of correspondence respectively.This object for example is commodity or article, and is corresponding, gathers to be seller or magazine.As shown in Figure 7, the method comprises:
Concrete, search server is searched for according to the keyword sets of each object, preferably, search server is searched for according to each keyword sets respectively by a plurality of processes, the object that record obtains and the set under each object, and Search Results gathered, therefrom screening is comprised the set (set that namely all occurs) of all objects simultaneously in set corresponding to each keyword sets.
Embodiment three
Based on the technical conceive identical with said method embodiment, the embodiment of the invention three provides a kind of search server, and as shown in Figure 8, this search server comprises:
Request receiving module 81 is used for receiving the searching request that carries at least 2 keyword sets, wherein comprises one or more keywords in each keyword sets;
Wherein, search processing module 82 also is used for, specifically realize searching for according to the keyword sets of searching request by following flow process, and the object that obtains of record searching and affiliated set thereof:
Keyword sets is carried out the search first time in steps A, the basis searching request that receives, and obtains and record the affiliated set of object and each object;
Step B, judge whether to exist not searched keyword sets; Then to go to step C if be judged as; Otherwise, go to step F;
Step C, not searched keyword sets of selection are searched for according to this keyword sets;
Whether comprise the identical set of set of current record in the set that step D, judgement search obtain; Then to go to step e if be judged as; Otherwise, go to step F;
Object in step e, the identity set that search is obtained adds in the set of corresponding current record, and deletion is not included in the set that current search obtains in the set of current record, the set of the current record after obtaining upgrading, and go to step B;
Step F, flow process finish.
Wherein, search processing module 82 specifically is used for, and searches for according to each keyword sets respectively by a plurality of processes, obtains and record the affiliated set of object and each object; Wherein, the search of a corresponding keyword sets of process.
Wherein, in set corresponding to keyword sets, only record an object in the set;
Wherein, described object is merchandise news, and described set is seller ID;
In the embodiment of the present application, the object that each keyword search in the search server basis keyword sets that gets access to is corresponding and affiliated set thereof, and statistics is to the separately set under the corresponding object that searches of each keyword sets, to search the set that in set corresponding to each keyword sets, all occurs, return as Search Results, thereby can satisfy in the prior art user when needs are bought many commodity, search the demand that a seller who sells simultaneously all commodity buys, this has improved search efficiency, reduced user's search time, and reduced the interaction times of user side and server end, reduce the burden of server, reduced simultaneously taking of the network bandwidth.
Through the above description of the embodiments, those skilled in the art can be well understood to the application and can realize by the mode that software adds essential general hardware platform, can certainly pass through hardware, but the former is better embodiment in a lot of situation.Based on such understanding, the part that the application's technical scheme contributes to prior art in essence in other words can embody with the form of software product, this computer software product is stored in the storage medium, comprise that some instructions are with so that a computer equipment (can be personal computer, server, the perhaps network equipment etc.) carry out the described method of each embodiment of the application.
It will be appreciated by those skilled in the art that accompanying drawing is the schematic diagram of a preferred embodiment, the module in the accompanying drawing or flow process might not be that enforcement the application is necessary.
It will be appreciated by those skilled in the art that the module in the device among the embodiment can be distributed in the device of embodiment according to the embodiment description, also can carry out respective change and be arranged in the one or more devices that are different from the present embodiment.The module of above-described embodiment can be merged into a module, also can further split into a plurality of submodules.
Above-mentioned the embodiment of the present application sequence number does not represent the quality of embodiment just to description.
Above disclosed only be several specific embodiments of the application, still, the application is not limited thereto, the changes that any person skilled in the art can think of all should fall into the application's protection domain.
Claims (10)
1. an information search method is characterized in that, comprising:
Search server receives the searching request that carries at least 2 keyword sets, wherein comprises one or more keywords in each keyword sets;
Search server is searched for according to the keyword sets in the searching request, and the object that obtains of record searching and affiliated set thereof;
Search server is extracted in the set that all occurs in set corresponding to each keyword sets, and obtains the object that belongs to this set that extracts from the object that search obtains;
Search server returns Search Results, wherein carries the information and the information that belongs to the object of this set that extracts of this set that extracts.
2. the method for claim 1 is characterized in that;
Search server is searched for according to the keyword sets of searching request, and the object that obtains of record searching and affiliated set thereof, specifically realizes by following flow process:
Steps A, search server carry out the search first time according to keyword sets in the searching request that receives, and obtain and record the affiliated set of object and each object;
Step B, search server judge whether to exist not searched keyword sets; Then to go to step C if be judged as; Otherwise, go to step F;
Step C, search server are selected not searched keyword sets, search for according to this keyword sets;
Step D, search server judge to search in the set that obtains whether comprise the set identical with the set of current record; Then to go to step e if be judged as; Otherwise, go to step F;
Object in the identity set that step e, search server obtain search adds in the set of corresponding current record, and deletion is not included in the set that current search obtains in the set of current record, the set of the current record after obtaining upgrading, and go to step B;
Step F, flow process finish.
3. the method for claim 1 is characterized in that, described search server is searched for according to the keyword sets of searching request, and the object that obtains of record searching and affiliated set thereof, is specially:
Search server is searched for according to each keyword sets respectively by a plurality of processes, obtains and record the affiliated set of object and each object; Wherein, the search of a corresponding keyword sets of process.
4. the method for claim 1 is characterized in that, in set corresponding to keyword sets, only records an object in the set;
Described search server is extracted in the set that all occurs in set corresponding to each keyword sets, is specially:
Set under the object that described search server obtains according to search gathers, and the quantity of the different objects that comprise in each set of statistics;
The quantity that described search server extracts the different objects that comprise in the described set equals the set of the quantity of keyword sets.
5. such as each described method of claim 1-4, it is characterized in that, described object is merchandise news, and described set is seller ID;
Described search server is extracted in the set that all occurs in set corresponding to each keyword sets, and from all objects that search out, obtain after the object that belongs to this set that extracts, also comprise: search server sorts to the seller ID that finds according to total price and/or the prestige corresponding to seller ID of merchandise news corresponding to the seller ID that finds;
The Search Results that described search server returns is the seller ID after sorting and merchandise news corresponding to described seller ID that searches.
6. a search server is characterized in that, comprising:
The request receiving module is used for receiving the searching request that carries at least 2 keyword sets, wherein comprises one or more keywords in each keyword sets;
The search processing module, the keyword sets in the searching request that receives according to the described request receiver module is searched for, and the object that obtains of record searching and affiliated set thereof;
The result treatment module is extracted in the set that all occurs in set corresponding to each keyword sets, and obtains the object that belongs to this set that extracts from the object that search obtains; Return Search Results, wherein carry the information and the information that belongs to the object of this set that extracts of this set that extracts.
7. search server as claimed in claim 6 is characterized in that, described search processing module also is used for, specifically realize searching for according to the keyword sets of searching request by following flow process, and the object that obtains of record searching and affiliated set thereof:
Keyword sets is carried out the search first time in steps A, the basis searching request that receives, and obtains and record the affiliated set of object and each object;
Step B, judge whether to exist not searched keyword sets; Then to go to step C if be judged as; Otherwise, go to step F;
Step C, not searched keyword sets of selection are searched for according to this keyword sets;
Whether comprise the set identical with the set of current record in the set that step D, judgement search obtain; Then to go to step e if be judged as; Otherwise, go to step F;
Object in step e, the identity set that search is obtained adds in the set of corresponding current record, and deletion is not included in the set that current search obtains in the set of current record, the set of the current record after obtaining upgrading, and go to step B;
Step F, flow process finish.
8. search server as claimed in claim 6 is characterized in that, described search processing module specifically is used for, and searches for according to each keyword sets respectively by a plurality of processes, obtains and record the affiliated set of object and each object; Wherein, the search of a corresponding keyword sets of process.
9. search server as claimed in claim 6 is characterized in that, in set corresponding to keyword sets, only records an object in the set;
Described result treatment module specifically is used for, and the set under the object that obtains according to search gathers, and the quantity of the different objects that comprise in each set of statistics; The quantity of extracting the different objects that comprise in the described set equals the set of the quantity of keyword sets.
10. such as each described search server of claim 6-9, it is characterized in that, described object is merchandise news, and described set is seller ID;
Described result treatment module also is used for,
Total price and/or prestige corresponding to seller ID according to merchandise news corresponding to the seller ID that finds sort to the seller ID that finds; The Search Results that returns is the seller ID after sorting and merchandise news corresponding to described seller ID that searches.
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| CN201110305094.XA CN103034663B (en) | 2011-09-29 | 2011-09-29 | A kind of information search method and equipment |
| HK13106139.4A HK1179372A1 (en) | 2011-09-29 | 2013-05-24 | Method and equipment for information searching |
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| CN201110305094.XA CN103034663B (en) | 2011-09-29 | 2011-09-29 | A kind of information search method and equipment |
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| CN103246726B (en) * | 2013-05-09 | 2017-04-12 | 北京奇付通科技有限公司 | Method, device and system for searching network information |
| CN103246726A (en) * | 2013-05-09 | 2013-08-14 | 北京奇虎科技有限公司 | Method, device and system for searching network information |
| CN104298684A (en) * | 2013-07-18 | 2015-01-21 | 深圳中兴网信科技有限公司 | Inquiry method, device and server |
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| CN106776601A (en) * | 2015-11-19 | 2017-05-31 | 北京国双科技有限公司 | The collocation method and device of search condition |
| CN107832330A (en) * | 2017-09-27 | 2018-03-23 | 华为技术有限公司 | A kind of searching method and terminal device |
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| CN109344336A (en) * | 2018-12-25 | 2019-02-15 | 北京时光荏苒科技有限公司 | Searching method, search set creation method, device, medium, terminal and server |
| CN110309375A (en) * | 2019-06-29 | 2019-10-08 | 大众问问(北京)信息科技有限公司 | Information cuing method, device and vehicle-mounted terminal equipment |
| CN110309375B (en) * | 2019-06-29 | 2021-07-20 | 大众问问(北京)信息科技有限公司 | Information prompting method and device and vehicle-mounted terminal equipment |
| CN110609848A (en) * | 2019-07-26 | 2019-12-24 | 上海百检网络技术有限公司 | Multi-condition retrieval method, server and user side |
| CN111143692A (en) * | 2019-12-31 | 2020-05-12 | 亳州职业技术学院 | Medicated diet recommendation electronic commerce platform based on user demands |
| CN111383077A (en) * | 2020-03-09 | 2020-07-07 | 浙江大华技术股份有限公司 | Data management and client type selection system, method and device |
| CN111597206A (en) * | 2020-05-27 | 2020-08-28 | 林思明 | Chip type selection method and device, electronic equipment and computer readable storage medium |
| CN112131455A (en) * | 2020-09-28 | 2020-12-25 | 贝壳技术有限公司 | List page retrieval degradation method and device, electronic equipment and storage medium |
| CN112131455B (en) * | 2020-09-28 | 2021-09-17 | 贝壳找房(北京)科技有限公司 | List page retrieval degradation method and device, electronic equipment and storage medium |
| CN112784156A (en) * | 2021-01-13 | 2021-05-11 | 携程旅游信息技术（上海）有限公司 | Search feedback method, system, device and storage medium based on intention recognition |
Also Published As
| Publication number | Publication date |
|---|---|
| HK1179372A1 (en) | 2013-09-27 |
| CN103034663B (en) | 2016-07-06 |
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