CN105930376A - Search method and device - Google Patents

Search method and device Download PDF

Info

Publication number
CN105930376A
CN105930376A CN201610229242.7A CN201610229242A CN105930376A CN 105930376 A CN105930376 A CN 105930376A CN 201610229242 A CN201610229242 A CN 201610229242A CN 105930376 A CN105930376 A CN 105930376A
Authority
CN
China
Prior art keywords
search
word
results
list
result list
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201610229242.7A
Other languages
Chinese (zh)
Other versions
CN105930376B (en
Inventor
周德海
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangdong Oppo Mobile Telecommunications Corp Ltd
Original Assignee
Guangdong Oppo Mobile Telecommunications Corp Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangdong Oppo Mobile Telecommunications Corp Ltd filed Critical Guangdong Oppo Mobile Telecommunications Corp Ltd
Priority to CN201610229242.7A priority Critical patent/CN105930376B/en
Publication of CN105930376A publication Critical patent/CN105930376A/en
Application granted granted Critical
Publication of CN105930376B publication Critical patent/CN105930376B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/33Querying
    • G06F16/3331Query processing
    • G06F16/3332Query translation
    • G06F16/3335Syntactic pre-processing, e.g. stopword elimination, stemming
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/951Indexing; Web crawling techniques

Abstract

The invention discloses a search method and device. The method comprises following steps: obtaining a search word input by a user; resolving the search word into at least one keyword; searching according to the at least one keyword and the search word to obtain at least one keyword search result list and a search word search result list; the search results in the at least one keyword search result list and the search word search result list are ordered alternately to obtain a final search result list, and therefore, the present search result ordering scheme is optimized, and the probability of search results selected by users is increased.

Description

A kind of searching method and device
Technical field
The present invention relates to search technique field, particularly relate to a kind of searching method and device.
Background technology
Along with the arrival in intelligence epoch, intelligent terminal has become as work indispensable in people's daily life Tool, the intelligent characteristic of intelligent terminal so that it is seem convenient, efficiently.People generally by downloading and can pacify Fill different types of application software to realize different life requirements.Such as, shopping class application software is downloaded real The demand of cash purchase thing.
Now, different user's requests all can be to having substantial amounts of application software, therefore, it will usually by all kinds of The merging of application software collection arranges an application market.User can input in the search box of application market accordingly Search word after, search, according to the Search Results of display in display screen, the application software needed and download and install and make With.Wherein, Search Results is that the search word degree of correlation according to user's input is ranked up, and in search word The Search Results that some word is corresponding is just ordered into position to the rear, and Search Results corresponding to these words very may be used It can be the Search Results that needs of user.Therefore, user may be caused to miss needs according to above-mentioned searching method Search Results.
Summary of the invention
In view of this, the embodiment of the present invention provides a kind of searching method and device, to optimize existing Search Results Sequencing schemes, improves Search Results and is easily selected by a user the probability of application.
First aspect, embodiments provides a kind of searching method, including:
Obtain the search word of user's input;
Described search word is split at least one key word;
Scan for according at least one key word described and described search word respectively, obtain at least one crucial Word search result list and search word search result list;
By at least one keyword search results list described and described search word search result list in each Search Results oscillation sorting is to obtain final search result list.
Second aspect, the embodiment of the present invention additionally provides a kind of searcher, including:
Acquisition module, for obtaining the search word of user's input;
Split module, for described search word is split at least one key word;
Search module, for scanning for according at least one key word described and described search word respectively, To at least one keyword search results list and search word search result list;
Order module, for searching for described search word at least one keyword search results list described Each Search Results oscillation sorting in the results list is to obtain final search result list.
A kind of searching method of embodiment of the present invention offer and device, by obtaining the search word of user's input also Split at least one key word, scan for obtaining at least at least one key word and search word respectively One keyword search results list and search word search result list, and at least one keyword search is tied Really list and search word search result list oscillation sorting obtain final search result list, optimize existing Search result ordering method, adds the Search Results of key word, Ke Yiti in final search result list The high user selection rate to Search Results, improves the experience of user.
Accompanying drawing explanation
The detailed description that non-limiting example is made made with reference to the following drawings by reading, the present invention Other features, objects and advantages will become more apparent upon:
The flow chart of a kind of searching method that Fig. 1 provides for the embodiment of the present invention one;
The flow chart of a kind of searching method that Fig. 2 provides for the embodiment of the present invention two;
The flow chart of a kind of searching method that Fig. 3 provides for the embodiment of the present invention three;
Fig. 4 determines the flow chart of method for a kind of popular search the results list that the embodiment of the present invention three provides;
The flow chart of a kind of searching method that Fig. 5 provides for the embodiment of the present invention four;
The structural representation of a kind of searcher that Fig. 6 provides for the embodiment of the present invention five.
Detailed description of the invention
The present invention is described in further detail with embodiment below in conjunction with the accompanying drawings.It is understood that this Specific embodiment described by place is used only for explaining the present invention, rather than limitation of the invention.The most also need Be noted that for the ease of describing, accompanying drawing illustrate only part related to the present invention and not all in Hold.
Embodiment one
The flow chart of a kind of searching method that Fig. 1 provides for the embodiment of the present invention one.What the present embodiment provided searches Suo Fangfa is applicable to obtain the situation that the search word of user's input scans for.The searcher that the present embodiment provides Method can be performed by searcher, and this searcher can be realized by software and/or hardware, and integrated In the background server scanned for.With reference to Fig. 1, this searching method includes:
Step 110, the search word of acquisition user's input.
Exemplary, obtain searching of the user's all kinds of application software input possessing function of search by client Rope word.
Step 120, described search word is split at least one key word.
Wherein, key word is the available vocabulary determining Search Results, such as " wallpaper " " wechat " etc..Search Rope word can comprise at least one key word.
Further, the fractionation rule that search word is concrete can be set according to practical situation.The most word for word Search word is checked, each vocabulary checked is splitted out, to obtain key word.For another example, Word for word search word is checked, the vocabulary conduct in extracting directly search word, Search Results being had a major impact Key word.
Optionally, at least one key word, final key word can be determined according to certain rule, and finally The number of key word is less than or equal to the number of key word.Wherein, certain rule can be entered according to practical situation Row sets, such as setting search number of times, is selected above the key word of setting search number of times as final crucial Word.
Such as, the search word obtaining user is " the most beautiful screen locking wallpaper ", word for word checks search word After, determine that fractionation search word obtains key word " the most beautiful ", " screen locking " and " wallpaper ".Optionally, Setting search number of times is in the week searched for 500 times, in above-mentioned key word " screen locking " and " wallpaper " Searching times meets setting search number of times, then retain " screen locking " and " wallpaper " as final key word.
Step 130, scan for according at least one key word described and described search word respectively, obtain to A few keyword search results list and search word search result list.
Exemplary, split, according to search word, at least one key word obtained and scan for, obtain comprising to The keyword search results list of a few key word.Wherein it is possible to be that each key word respectively obtains correspondence Keyword search results list, it is also possible to be whole key words are associated search, obtain a key Word search result list.It is preferably, each key word is searched for respectively, to obtain the keyword search of correspondence The results list.
Further, search word is scanned for, obtain search word search result list.The most respectively to extremely The search order that a few key word and search word scan for is not construed as limiting.
Wherein, each Search Results in each search result list obtained can select number of applications according to user Height sorts respectively in each search result list.Such as, in web searches, can click on according to user Number of times height sort in corresponding search result list each Search Results;At application navigation class application software In, just can sort in corresponding search result list each Search Results according to the number of times that user downloads.
Such as, search word is " the most beautiful screen locking wallpaper ", and it splits the keyword obtained is " lock Screen " and " wallpaper ", " screen locking " and " wallpaper " scans for obtaining the screen locking search knot of correspondence respectively Really list and wallpaper search result list, scans for obtaining the search of correspondence to " the most beautiful screen locking wallpaper " Word search result list.
Step 140, by least one keyword search results list described and described search word Search Results Each Search Results oscillation sorting in list is to obtain final search result list.
Exemplary, by least one the keyword search results list obtained and search word search result list In each Search Results oscillation sorting, generate final search result list after oscillation sorting.To finally search for knot Really list feeds back to the client of input search word, and shows in client screen for user's inquiry and choosing Select.
Such as, search word is " the most beautiful screen locking wallpaper ", and it splits the key word obtained is " screen locking " " wallpaper ", scans for each key word and search word respectively, obtains screen locking search result list, wall Paper search result list and search word search result list.By screen locking search result list, wallpaper Search Results Each Search Results oscillation sorting in list and search word search result list obtains final search result list. So, user is possible not only to see the Search Results of search word, it is further seen that the Search Results of key word.
Further, during oscillation sorting, preferably by first search knot in search word search result list Fruit comes final search result list foremost.
Optionally, concrete alternating sequence can be selected by user according to the Search Results in each search result list The number of times height selecting application carries out oscillation sorting.Such as, search obtain the first keyword search results list, Second keyword search results list and search word search result list, by search word search result list One Search Results is as first Search Results of final search result list, and by three Search Results row Each Search Results in table carries out oscillation sorting according to the number of times height being easily selected by a user application, if first is crucial Two Search Results in word search result list and search word search result list are easily selected by a user the secondary of application Number is identical, then preferentially the Search Results in search word search result list is come the first keyword search results Before Search Results in list.Equally, if the first keyword search results list and the second keyword search The number of times that two Search Results in the results list are easily selected by a user application is identical, then preferential by the first key word Search Results in search result list comes before the Search Results in the second keyword search results list.
Optionally, when each Search Results oscillation sorting, can be a certain number of in each search result list Search Results oscillation sorting.Such as, each the Search Results oscillation sorting in each search result list, Or every three the Search Results oscillation sortings in each search result list.
Optionally, the Search Results that check whether there is repeats when oscillation sorting, if at least two Search Results List all contains same Search Results, this Search Results occurred for the first time when the most only retaining oscillation sorting.
Optionally, if keyword search results list is at least one, then at least one keyword search results Random order can be used, it would however also be possible to employ each key word is suitable before and after the position in search word between list Sequence, it is also possible to the number of times height searched according to each key word of record arranges.Determine that at least one closes After order between keyword search result list, according to this order by least one keyword search results list In with each Search Results oscillation sorting in search word search result list.
Such as, search word is " the most beautiful screen locking wallpaper ", and it splits the key word obtained is " screen locking " " wallpaper ", scans for each key word and search word respectively, obtains screen locking search result list, wall Paper search result list and search word search result list, wherein, the order of the oscillation sorting set as: Beautiful screen locking wallpaper search result list, screen locking search result list and the sequence of wallpaper search result list, First Search Results in the most beautiful screen locking wallpaper search result list is the most first selected to come final Search Results First position of list, in reselection screen locking search result list, first Search Results comes final search Second position of the results list, in reselection wallpaper search result list, first Search Results comes finally 3rd position of search result list, will respectively search for knot in each search result list the most successively Really oscillation sorting obtains final search result list.
A kind of searching method that the embodiment of the present invention one provides, by obtaining the search word of user's input and splitting Become at least one key word, scan for obtaining at least one at least one key word and search word respectively Keyword search results list and search word search result list, and by keyword search results list and search Word search result list oscillation sorting obtains final search result list, optimizes existing search results ranking Method, adds the Search Results of key word in final search result list, can increase user to search The selection rate of result, improves the experience of user.
On the basis of above-described embodiment, the search word of the described user of acquisition input may include that acquisition user is led to Cross the search word of application market search box input.Wherein, application market is that the application installed in the client is soft The application software of part navigation type.User can search for, by application market, the application software needed and download.Phase Answering, background server is the background server that application market is corresponding.
Embodiment two
The flow chart of a kind of searching method that Fig. 2 provides for the embodiment of the present invention two.The present embodiment is above-mentioned On the basis of embodiment, the operation to described search word splits at least one key word has been made further Limit.
Further, described described search word is split at least one key word may include that at search word Data base searches the search application conversion ratio of described search word;Search application conversion ratio when described search word During less than first threshold, described search word is split at least one key word.With reference to Fig. 2, this searcher Method includes:
Step 210, the search word of acquisition user's input.
Step 220, in search word data base, search the search application conversion ratio of described search word.
Wherein, search application conversion ratio is that each Search Results in search word search result list is easily selected by a user The probability of application, its value is the highest, shows that search word search result list more meets the actual demand of user.Search The concrete computational methods of Suo Yingyong conversion ratio can be each Search Results in search word search result list by with Family selects the ratio of the number of times total degree searched with corresponding search word of application.Different use environment Under, the statistical of search application conversion ratio can be different.Such as, user is utilizing application market search to answer When using software, search application conversion ratio can also be referred to as search and download conversion ratio, and it is search word search knot The ratio of the total degree that total degree that really each application software in list is downloaded by user is searched with corresponding search word Value.Further, search application conversion ratio can be carried out for search word statistical result within a certain period of time Determine.
Concrete, search word data base has searched each search word, and searched total of each search word Number of times, and the search application conversion ratio of each search word.Wherein, search word data base can be with real-time update, also Can be with regular update, renewal frequency can be set according to practical situation.
Step 230, when described search word search application conversion ratio less than first threshold time, by described search Word splits at least one key word.
Exemplary, first threshold can be set according to practical situation, such as set first threshold as 30%, then the search application conversion ratio and 30% of search word is compared, if the search application of search word converts Rate is higher than 30%, then each Search Results in explanation search word search result list is easily selected by a user the general of application Rate is higher, now, directly as final search result list, search word search result list is returned to client End.Otherwise, then each Search Results in explanation search word search result list is easily selected by a user the probability of application Relatively low, now search word is split, obtain at least one key word.
Step 240, scan for according at least one key word described and described search word respectively, obtain to A few keyword search results list and search word search result list.
Step 250, by least one keyword search results list described and described search word Search Results Each Search Results oscillation sorting in list is to obtain final search result list.
A kind of searching method that the embodiment of the present invention two provides, by obtaining the search word of user's input, and will The search application conversion ratio of search word compares with first threshold, and the search word that will be less than first threshold is carried out Split, obtain at least one key word, scan for obtaining at least one key word and search word respectively At least one keyword search results list and search word search result list, and at least one key word is searched Rope the results list and search word search result list oscillation sorting obtain final search result list, optimize existing Some search result ordering methods, particularly with the search word that search application conversion ratio is relatively low, in final search The results list adds the Search Results of key word, user's selection rate to Search Results can be improved, carry Rise the experience of user.
Embodiment three
The flow chart of a kind of searching method that Fig. 3 provides for the embodiment of the present invention three.The present embodiment is in above-mentioned reality On the basis of executing example, to scanning for according at least one key word described and described search word respectively, obtain At least one keyword search results list and the operation of search word search result list and by described at least one In keyword search results list and described search word search result list in each Search Results oscillation sorting with Further restriction has been made in the operation obtaining final search result list.
Further, described scan for according at least one key word described and described search word respectively, May include that described in extraction extremely at least one keyword search results list and search word search result list Popular key word in a few key word;Search according to described popular key word and described search word respectively Rope, obtains popular search the results list and search word search result list.Described by least one key described Each Search Results oscillation sorting in word search result list and in described search word search result list is to obtain Final search result list may include that will be tied with the search of described search word in described popular search the results list Really each Search Results oscillation sorting in list is to obtain final search result list.With reference to Fig. 3, this search Method includes:
Step 310, the search word of acquisition user's input.
Step 320, described search word is split at least one key word.
Step 330, the popular key word extracted at least one key word described.
Exemplary, popular key word can be the word that searched number of times is higher than set point number in a period of time Converge, or searched total degree is higher than the vocabulary of set point number.Concrete parameter can be according to practical situation It is set.
Further, according to the searched number of times of at least one key word of statistics, determine that at least one is crucial Popular key word in word, wherein the number of popular key word is less than or equal to the number of key word.
Step 340, scan for according to described popular key word and described search word respectively, obtain hot topic and search Rope the results list and search word search result list.
Further, after determining at least one popular key word, at least one popular key word is scanned for Obtain at least one popular search the results list.Search word is scanned for simultaneously, obtain search word search knot Really list.
Optionally, it is also possible to respectively at least one popular key word association search, obtain a popular search The results list.
Optionally, with reference to Fig. 4, this step may include that step 341-343.
Step 341, scan for according to described popular key word, obtain initially searching of described popular key word Rope the results list.
Exemplary, scan for according at least one popular key word respectively, at least one obtained is searched Rope the results list is respectively designated as the initial search result list of correspondence.Each initial search result list be according to Original search rule scans for the search result list generated.
Step 342, described initial search result list will meet pre-conditioned each Search Results composition heat Door search result list.
Wherein, described pre-conditioned can be that search application conversion ratio that Search Results is corresponding is higher than the second threshold Value, such as, search application conversion ratio corresponding to setting search result is higher than 5%.Described pre-conditioned all right Being higher than the 3rd threshold value for the number of applications that Search Results is corresponding, such as, setting search result is easily selected by a user should With number of times higher than 200 times.
Concrete, retain in initial search result list and meet pre-conditioned each Search Results, can be by full The most pre-conditioned each Search Results named high-quality Search Results of foot, and pre-conditioned respectively search for knot by meeting Fruit composition popular search the results list.Further, the heat that at least one popular key word is corresponding is determined respectively Door search result list.
Step 343, scan for according to described search word, obtain search word search result list.
Step 350, each by described popular search the results list and in described search word search result list Search Results oscillation sorting is to obtain final search result list.
Such as, search word is " the most beautiful screen locking wallpaper ", and the key word of confirmation is " the most beautiful ", " lock Screen " and " wallpaper ", and determine that the popular key word in this key word is " screen locking " and " wallpaper ", point Not Sou Suo " screen locking " " wallpaper " and " the most beautiful screen locking wallpaper ", will search " screen locking " and " wallpaper " The result obtained is identified as screen locking initial search result list and wallpaper initial search result list, and selects Select the search application conversion ratio each Search Results higher than 5% in two initial results lists and separately constitute the lock of correspondence Screen popular search the results list and wallpaper popular search the results list, by screen locking popular search the results list, wall Paper popular search the results list and each Search Results oscillation sorting in search word search result list are to obtain Whole search result list.
A kind of searching method that the embodiment of the present invention three provides, is determined by the search word of user's input extremely A few key word, and extract the popular key word at least one key word, the popular key word of search respectively Scan for obtaining popular search the results list and search word search result list with search word, and according to upper State each search result list and determine final search result list.Optimize existing search result ordering method, In final search result list, add the high-quality Search Results that each popular key word is corresponding, further carry High user's selection rate to Search Results, improves the experience of user.
Embodiment four
The flow chart of a kind of searching method that Fig. 5 provides for the embodiment of the present invention four.The present embodiment is above-mentioned On the basis of embodiment, to by described popular search the results list and in described search word search result list Each Search Results oscillation sorting made further restriction with the operation obtaining final search result list.
Further, described by described popular search the results list and in described search word search result list Each Search Results oscillation sorting may include that described popular search is tied obtaining final search result list In really in list, the search application conversion ratio of each Search Results is multiplied by Preset Time respectively, corresponding Search Results searches Rope number of times, obtains the exposure value that each described Search Results is corresponding;Each described Search Results is taken according to exposure value Value size order interts in described search word search result list, obtains final search result list.Reference Fig. 5, this searching method includes:
Step 510, the search word of acquisition user's input.
Step 520, described search word is split at least one key word.
Step 530, the popular key word extracted at least one key word described.
Step 540, scan for according to described popular key word and described search word respectively, obtain hot topic and search Rope the results list and search word search result list.
Step 550, by the search application conversion ratio of each Search Results in described popular search the results list respectively In being multiplied by Preset Time, the searching times of corresponding Search Results, obtains the exposure that each described Search Results is corresponding Value.
Wherein, exposure value is the biggest, and the probability that expression Search Results is displayed to user is the highest.Preset Time can To be set according to practical situation, such as 7 days, 10 days etc..
Step 560, each described Search Results is interted into described search word according to exposure value value size order In search result list, obtain final search result list.
Exemplary, determine at least one popular search the results list after the exposure value of each Search Results, press Size according to each Search Results exposure value sorts, and respectively will search for respectively at least one popular search the results list Result order is interted in described search word search result list, obtains final search result list.
Further, during final search result list is returned to the client of acquisition search word.
A kind of searching method that the embodiment of the present invention four provides, is determined by the search word of user's input extremely A few key word, and extract the popular key word at least one key word, the popular key word of search respectively Scan for obtaining popular search the results list and search word search result list with search word, and calculate heat The exposure value of each Search Results in door search result list, sorts according to the size of exposure value, hot topic is searched Each Search Results corresponding in rope the results list interts in search word search result list, is finally searched for The results list, optimizes existing search result ordering method, improves the exposure rate of popular search result, Further increase user's selection rate to Search Results, improve the experience of user.
Embodiment five
The structural representation of a kind of searcher that Fig. 6 provides for the embodiment of the present invention five.With reference to Fig. 6, described Searcher includes: acquisition module 601, fractionation module 602, search module 603 and order module 604.
Wherein, acquisition module 601, for obtaining the search word of user's input;Splitting module 602, being used for will Described search word splits at least one key word;Search module 603, for respectively according to described at least one Individual key word and described search word scan for, and obtain at least one keyword search results list and search word Search result list;Order module 604, for neutralizing at least one keyword search results list described Each Search Results oscillation sorting in described search word search result list is to obtain final search result list.
A kind of searcher that the embodiment of the present invention five provides, by obtaining the search word of user's input and splitting Become at least one key word, scan for obtaining at least one at least one key word and search word respectively Keyword search results list and search word search result list, and by keyword search results list and search Word search result list oscillation sorting obtains final search result list, optimizes existing search results ranking Method, adds the Search Results of key word in final search result list, can improve user to search The selection rate of result, improves the experience of user.
On the basis of the various embodiments described above, described fractionation module 602 may include that lookup unit, is used for Search word data base searches the search application conversion ratio of described search word;Search word split cells, for working as When the search application conversion ratio of described search word is less than first threshold, described search word is split at least one Key word.
On the basis of the various embodiments described above, described search module 603 may include that extraction unit, is used for carrying Take the popular key word at least one key word described;Search Results unit, for respectively according to described warm Door key word and described search word scan for, and obtain popular search the results list and search word Search Results row Table.
On the basis of the various embodiments described above, described order module 604 specifically may be used for: described hot topic is searched Each Search Results oscillation sorting in rope the results list and in described search word search result list is final to obtain Search result list.
On the basis of the various embodiments described above, described Search Results unit may include that initial results subelement, For scanning for according to described popular key word, obtain the initial search result row of described popular key word Table;Hot topic bears fruit unit, for meeting pre-conditioned each search in described initial search result list Result composition popular search the results list;Search word subelement, for scanning for according to described search word, Obtain search word search result list.
On the basis of the various embodiments described above, described pre-conditioned can be Search Results corresponding search application turn Rate is higher than Second Threshold, or number of applications corresponding to Search Results is higher than the 3rd threshold value.
On the basis of the various embodiments described above, described order module 604 may include that multiplying unit, and being used for will In described popular search the results list, the search application conversion ratio of each Search Results is right in being multiplied by Preset Time respectively Answer the searching times of Search Results, obtain the exposure value that each Search Results is corresponding;Interspersed unit, for by each Described Search Results interts in described search word search result list according to exposure value value size order, To final search result list.
On the basis of the various embodiments described above, described acquisition module 601 specifically may be used for: obtains user and passes through The search word of application market search box input.
The searcher that the embodiment of the present invention provides may be used for performing the searcher that above-mentioned any embodiment provides Method, possesses corresponding function and beneficial effect.
Note, above are only presently preferred embodiments of the present invention and institute's application technology principle.Those skilled in the art It will be appreciated that the invention is not restricted to specific embodiment described here, can enter for a person skilled in the art Row various obvious changes, readjust and substitute without departing from protection scope of the present invention.Therefore, though So by above example, the present invention is described in further detail, but the present invention be not limited only to Upper embodiment, without departing from the inventive concept, it is also possible to include other Equivalent embodiments more, And the scope of the present invention is determined by scope of the appended claims.

Claims (14)

1. a searching method, it is characterised in that including:
Obtain the search word of user's input;
Described search word is split at least one key word;
Scan for according at least one key word described and described search word respectively, obtain at least one crucial Word search result list and search word search result list;
By at least one keyword search results list described and described search word search result list in each Search Results oscillation sorting is to obtain final search result list.
Searching method the most according to claim 1, it is characterised in that described search word is split into At least one key word includes:
The search application conversion ratio of described search word is searched in search word data base;
When described search word search application conversion ratio less than first threshold time, described search word is split into A few key word.
Searching method the most according to claim 1, it is characterised in that respectively according to described at least one Individual key word and described search word scan for, and obtain at least one keyword search results list and search word Search result list includes:
Extract the popular key word at least one key word described;
Scan for according to described popular key word and described search word respectively, obtain popular search the results list With search word search result list;
Accordingly, will at least one keyword search results list described arrange with described search word Search Results Each Search Results oscillation sorting in table includes to obtain final search result list:
Each Search Results in described popular search the results list and in described search word search result list is handed over For sequence to obtain final search result list.
Searching method the most according to claim 3, it is characterised in that respectively according to described popular pass Keyword and described search word scan for, and obtain popular search the results list and search word search result list bag Include:
Scan for according to described popular key word, obtain the initial search result row of described popular key word Table;
Described initial search result list will meet pre-conditioned each Search Results composition popular search result List;
Scan for according to described search word, obtain search word search result list.
Searching method the most according to claim 4, it is characterised in that described pre-conditioned for search Search application conversion ratio corresponding to result is higher than Second Threshold, or number of applications corresponding to Search Results is higher than 3rd threshold value.
6. according to the searching method described in claim 3 or 4 or 5, it is characterised in that described hot topic is searched Each Search Results oscillation sorting in rope the results list and in described search word search result list is final to obtain Search result list includes:
By when in described popular search the results list, the search application conversion ratio of each Search Results is multiplied by default respectively The searching times of interior corresponding Search Results, obtains the exposure value that each described Search Results is corresponding;
Each described Search Results is interted according to exposure value value size order and arranges into described search word Search Results In table, obtain final search result list.
Searching method the most according to claim 1, it is characterised in that obtain the search of user's input Word includes:
Obtain the search word that user is inputted by application market search box.
8. a searcher, it is characterised in that including:
Acquisition module, for obtaining the search word of user's input;
Split module, for described search word is split at least one key word;
Search module, for scanning for according at least one key word described and described search word respectively, To at least one keyword search results list and search word search result list;
Order module, for searching for described search word at least one keyword search results list described Each Search Results oscillation sorting in the results list is to obtain final search result list.
Searcher the most according to claim 8, it is characterised in that described fractionation module includes:
Search unit, for searching the search application conversion ratio of described search word in search word data base;
Search word split cells, is used for when the search application conversion ratio of described search word is less than first threshold, Described search word is split at least one key word.
Searcher the most according to claim 8, it is characterised in that described search module includes:
Extraction unit, for extracting the popular key word at least one key word described;
Search Results unit, for scanning for according to described popular key word and described search word respectively, To popular search the results list and search word search result list;
Accordingly, described order module specifically for:
Each Search Results in described popular search the results list and in described search word search result list is handed over For sequence to obtain final search result list.
11. searchers according to claim 10, it is characterised in that described Search Results unit Including:
Initial results subelement, for scanning for according to described popular key word, obtains described popular crucial The initial search result list of word;
Hot topic bears fruit unit, for meeting pre-conditioned each search in described initial search result list Result composition popular search the results list;
Search word subelement, for scanning for according to described search word, obtains search word Search Results row Table.
12. searchers according to claim 11, it is characterised in that described pre-conditioned for searching The search application conversion ratio that hitch fruit is corresponding is higher than Second Threshold, or the number of applications height that Search Results is corresponding In the 3rd threshold value.
13. according to the searcher described in claim 10 or 11 or 12, it is characterised in that described sequence Module includes:
Multiplying unit, for by the search application conversion ratio of each Search Results in described popular search the results list In being multiplied by Preset Time respectively, the searching times of corresponding Search Results, obtains the exposure that each described Search Results is corresponding Light value;
Intert unit, for by each described Search Results according to exposure value value size order intert into described in search In rope word search result list, obtain final search result list.
14. searchers according to claim 8, it is characterised in that described acquisition module is specifically used In:
Obtain the search word that user is inputted by application market search box.
CN201610229242.7A 2016-04-12 2016-04-12 A kind of searching method and device Active CN105930376B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610229242.7A CN105930376B (en) 2016-04-12 2016-04-12 A kind of searching method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610229242.7A CN105930376B (en) 2016-04-12 2016-04-12 A kind of searching method and device

Publications (2)

Publication Number Publication Date
CN105930376A true CN105930376A (en) 2016-09-07
CN105930376B CN105930376B (en) 2019-08-02

Family

ID=56839039

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610229242.7A Active CN105930376B (en) 2016-04-12 2016-04-12 A kind of searching method and device

Country Status (1)

Country Link
CN (1) CN105930376B (en)

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106649606A (en) * 2016-11-29 2017-05-10 华为技术有限公司 Method and device for optimizing search result
CN108345601A (en) * 2017-01-23 2018-07-31 腾讯科技(深圳)有限公司 Search result ordering method and device
WO2019041282A1 (en) * 2017-08-31 2019-03-07 深圳市云中飞网络科技有限公司 Information processing method and related product
TWI681304B (en) * 2018-12-14 2020-01-01 財團法人工業技術研究院 System and method for adaptively adjusting related search words
CN110770720A (en) * 2017-08-31 2020-02-07 深圳市欢太科技有限公司 Resource searching method and related product
CN110866144A (en) * 2019-11-06 2020-03-06 腾讯音乐娱乐科技(深圳)有限公司 Song retrieval method and device
EP3663932A4 (en) * 2017-08-31 2020-08-19 Shenzhen Heytap Technology Corp., Ltd. Resource search method and related product
CN111881316A (en) * 2020-07-28 2020-11-03 腾讯音乐娱乐科技(深圳)有限公司 Search method, search device, server and computer-readable storage medium
US11314794B2 (en) 2018-12-14 2022-04-26 Industrial Technology Research Institute System and method for adaptively adjusting related search words

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104750822A (en) * 2015-03-31 2015-07-01 北京奇虎科技有限公司 Method and device for providing search suggestion
CN104881504A (en) * 2015-06-23 2015-09-02 郑州悉知信息技术有限公司 Information search method and device
CN104991915A (en) * 2015-06-23 2015-10-21 郑州悉知信息技术有限公司 Information search method and apparatus
CN105389344A (en) * 2015-10-21 2016-03-09 南方电网科学研究院有限责任公司 Self-service novelty retrieval method and system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104750822A (en) * 2015-03-31 2015-07-01 北京奇虎科技有限公司 Method and device for providing search suggestion
CN104881504A (en) * 2015-06-23 2015-09-02 郑州悉知信息技术有限公司 Information search method and device
CN104991915A (en) * 2015-06-23 2015-10-21 郑州悉知信息技术有限公司 Information search method and apparatus
CN105389344A (en) * 2015-10-21 2016-03-09 南方电网科学研究院有限责任公司 Self-service novelty retrieval method and system

Cited By (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106649606B (en) * 2016-11-29 2020-03-31 华为技术有限公司 Method and device for optimizing search results
CN106649606A (en) * 2016-11-29 2017-05-10 华为技术有限公司 Method and device for optimizing search result
CN108345601A (en) * 2017-01-23 2018-07-31 腾讯科技(深圳)有限公司 Search result ordering method and device
CN108345601B (en) * 2017-01-23 2020-11-20 腾讯科技(深圳)有限公司 Search result ordering method and device
EP3663932A4 (en) * 2017-08-31 2020-08-19 Shenzhen Heytap Technology Corp., Ltd. Resource search method and related product
CN110770720A (en) * 2017-08-31 2020-02-07 深圳市欢太科技有限公司 Resource searching method and related product
EP3667508A4 (en) * 2017-08-31 2020-06-17 Shenzhen Heytap Technology Corp., Ltd. Resource search method and related product
WO2019041282A1 (en) * 2017-08-31 2019-03-07 深圳市云中飞网络科技有限公司 Information processing method and related product
US11188582B2 (en) 2017-08-31 2021-11-30 Shenzhen Heytap Technology Corp., Ltd. Method for resource search and related products
US11468125B2 (en) * 2017-08-31 2022-10-11 Shenzhen Heytap Technology Corp., Ltd. Resource search method and related product
CN110770720B (en) * 2017-08-31 2023-11-07 深圳市欢太科技有限公司 Resource searching method and related products
TWI681304B (en) * 2018-12-14 2020-01-01 財團法人工業技術研究院 System and method for adaptively adjusting related search words
US11314794B2 (en) 2018-12-14 2022-04-26 Industrial Technology Research Institute System and method for adaptively adjusting related search words
CN110866144A (en) * 2019-11-06 2020-03-06 腾讯音乐娱乐科技(深圳)有限公司 Song retrieval method and device
CN110866144B (en) * 2019-11-06 2022-08-05 腾讯音乐娱乐科技(深圳)有限公司 Song retrieval method and device
CN111881316A (en) * 2020-07-28 2020-11-03 腾讯音乐娱乐科技(深圳)有限公司 Search method, search device, server and computer-readable storage medium

Also Published As

Publication number Publication date
CN105930376B (en) 2019-08-02

Similar Documents

Publication Publication Date Title
CN105930376A (en) Search method and device
CN101359331B (en) Method and system for reordering search result
KR100451649B1 (en) Image search system and method
CN102043833B (en) Search method and device based on query word
US8843470B2 (en) Meta classifier for query intent classification
JP5386663B1 (en) Information processing apparatus, information processing method, information processing program, and recording medium
US20070260597A1 (en) Dynamic search engine results employing user behavior
JP2009509266A (en) Structured data navigation
EP1891558A2 (en) Relationship networks
US10445367B2 (en) Search engine for textual content and non-textual content
CN103324631B (en) The method and device of data search is provided
CN102567290A (en) Method, device and equipment for expanding short text to be processed
CN104881431B (en) A kind of method and apparatus for obtaining search results pages in computer equipment
US8538941B2 (en) Visual information search tool
KR100729184B1 (en) Method and Apparatus for searching related information by using associated keyword
CN107562750A (en) A kind of method and apparatus for providing search result
CN104951534B (en) Search result optimization method and search engine
JP2013050905A (en) Association device, association method, association program and record medium
EP1328117A3 (en) Television apparatus with programme information search function
CN107180058A (en) A kind of method and apparatus for being inquired about based on caption information
KR102170535B1 (en) Apparatus and method for searching based on user preference using sentiment analysis
JP2014154142A (en) System, method and program for generating preview of search result
KR101596370B1 (en) Ad delivery method and system for based on users' queries
KR101896177B1 (en) An Image Searching System Providing Multiplex Result
CN108681580B (en) A kind of Services Composition recommended method based on link prediction

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
CB02 Change of applicant information
CB02 Change of applicant information

Address after: 523860 No. 18, Wu Sha Beach Road, Changan Town, Dongguan, Guangdong

Applicant after: OPPO Guangdong Mobile Communications Co., Ltd.

Address before: 523860 No. 18, Wu Sha Beach Road, Changan Town, Dongguan, Guangdong

Applicant before: Guangdong OPPO Mobile Communications Co., Ltd.

GR01 Patent grant
GR01 Patent grant