CN103164424B - Method and device for acquiring time-efficient words - Google Patents

Method and device for acquiring time-efficient words Download PDF

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CN103164424B
CN103164424B CN201110413881.6A CN201110413881A CN103164424B CN 103164424 B CN103164424 B CN 103164424B CN 201110413881 A CN201110413881 A CN 201110413881A CN 103164424 B CN103164424 B CN 103164424B
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time range
statistical time
searching times
search
stability
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CN103164424A (en
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郭瑞
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Alibaba Group Holding Ltd
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Alibaba Group Holding Ltd
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Abstract

The invention discloses a method and a device for acquiring time-efficient words. The method includes: acquiring search times of each search keyword in each unit time interval in a statistic time interval; determining search time stability of each search keyword in the statistic time interval according to the search times of each search keyword in each unit time interval in the statistic time interval; and determining the time-efficient words corresponding to the statistic time interval in each search keyword according to the search time stability. By means of the method for acquiring the time-efficient words, complexity in acquiring the time-efficient words can be reduced, and acquiring efficiency can be improved.

Description

A kind of acquisition methods and device of ageing word
Technical field
The application is related to networking technology area, the acquisition methods and device of more particularly to a kind of ageing word.
Background technology
With developing rapidly for every profession and trade technology and gradually increasing for shopping website commodity, and a large amount of group buying websites are not Disconnected to emerge in large numbers, shopping website is presented to the commodity of user and service is more and more.And shopping website is directly presented to the commodity of user, Great majority are nonsensical for user, or are directed to the weaker search of some timeliness requirements of user, such as " popular Dress ornament ", " trend clothes " etc., the intention difference for returning Search Results and user is often very big.Therefore, the excavation of ageing word becomes Obtain more and more important.Ageing word generally includes hot word, seasonal word, red-letter day property word etc..The characteristics of hot word, is, from sometime Start appearance suddenly, and search rate (searching times in unit time period) is very high, and search in the time before the time Rope frequency is close to 0.The characteristics of words such as seasonal word, red-letter day property word is, searching within annual corresponding season or before and after red-letter day Rope frequency is very high and stable, and search rate is unstable within other periods.
For the excavation of ageing word, needing the Query Information of the inquiry log to magnanimity and various dimensions carries out complicated fortune Calculate, this internal memory required when making memory space and calculating and time receive greatly challenge.Current is obtained by calculating The method of ageing word, using distributed computing system, is calculated by statistical method such as machine learning.
During the application is realized, inventor has found that at least there are the following problems for prior art:With Query Information The continuous growth of data volume, is calculated by statistical method such as machine learning, the requirement more and more higher to hardware, calculating process The shared time is also increasingly longer, due to hardware or time, the restriction in space, even results in algorithm infeasible.
The content of the invention
The purpose of the application is, there is provided a kind of acquisition methods and device of ageing word, is obtained with reducing ageing word The complexity of process simultaneously improves acquisition efficiency, for this purpose, the embodiment of the present application is adopted the following technical scheme that:
A kind of acquisition methods of ageing word, including:
Obtain the searching times in constituent parts period of each search keyword in statistical time range;
The searching times in the constituent parts period according to search keyword in statistical time range, determine the search keyword Searching times degree of stability in the statistical time range;
According to the searching times degree of stability, determine in each search keyword corresponding with the statistical time range ageing Word.
A kind of method that ageing word obtained using method as above carries out merchandise news input, the method bag Include, merchandise news is thrown according to the ageing word for obtaining.
A kind of ageing word acquisition device, including:
Acquisition module, for obtaining the searching times in constituent parts period of each search keyword in statistical time range;
First determining module, for the searching times in the constituent parts period according to search keyword in statistical time range, Determine searching times degree of stability of the search keyword in the statistical time range;
Second determining module, for according to the searching times degree of stability, determining in each search keyword and the system The corresponding ageing word of timing section.
In embodiments herein, server obtains searching in constituent parts period of each search keyword in statistical time range Rope number of times, the searching times in the constituent parts period according to search keyword in statistical time range determine search keyword in system Searching times degree of stability in timing section, further according to the searching times degree of stability for determining, determines and system in each search keyword The corresponding ageing word of timing section, can effectively reduce the complexity of ageing word acquisition process and improve acquisition efficiency.Certainly, it is real The arbitrary product for applying embodiments herein it is not absolutely required to while reaching all the above advantage.
Description of the drawings
One of schematic flow sheet of ageing word acquisition methods that Fig. 1 is provided for the embodiment of the present application;
The two of the schematic flow sheet of the ageing word acquisition methods that Fig. 2 is provided for the embodiment of the present application;
The structural representation of the ageing word acquisition device that Fig. 3 is provided for the embodiment of the present application.
Specific embodiment
Below in conjunction with the accompanying drawing in the application, clear, complete description is carried out to the technical scheme in the application, shown So, described embodiment is a part of embodiment of the application, rather than the embodiment of whole.Based on the enforcement in the application Example, the every other embodiment that those of ordinary skill in the art are obtained on the premise of creative work is not made all belongs to In the scope of the application protection.
In the embodiment of the present application, server obtains the search in constituent parts period of each search keyword in statistical time range Number of times, the searching times in the constituent parts period according to search keyword in statistical time range determine search keyword in statistics Searching times degree of stability in period, further according to the searching times degree of stability for determining, determines and statistics in each search keyword Period corresponding ageing word, to reduce the complexity of ageing word acquisition process and improve acquisition efficiency.
As shown in figure 1, the flow process of the acquisition methods of its ageing word provided for the embodiment of the present application, specifically includes following Step:
Step 101, server obtains the searching times in constituent parts period of each search keyword in statistical time range.
Server can be counted in advance to the inquiry log of each user.When user is input into search statement in webpage Afterwards, server obtains the search statement of user input, then carries out word segmentation processing to search statement, and search statement is divided into into one The search keyword of one, and the time of corresponding record user's search operation.So, server just can get each search The search record of key word and corresponding time.Server further can also classify to search keyword, for example, point Class may include brand word (such as helping red slave, peace to step on), commodity word (such as down jackets, woollen overcoat), model word (such as X010, Z899 Deng) etc..After classification, server can be counted only (for example, only commodity word is counted) to a certain class word, accordingly What is finally got is also the ageing word in this class word.
Server can obtain each list in statistical time range according to the search of each search keyword record and corresponding time Searching times in the period of position.Server can be to search keyword within the constituent parts period searching times record, specifically Record format can be:Word (word) time 1 (time 1) frequency 1 (frequency 1), the frequency of time 2 2...time n frequency n, can be recorded, as shown in table 1 by form.
Table 1
Word 20110201 20110202 20110228
Mobile phone 1182345 1102346 1082348
One-piece dress 17802345 17202386 12802845
…… …… …… …… ……
Server can be counted according to specific statistical demand to multiple statistical time ranges, and for example, server can be obtained Take in adjacent multiple statistical time ranges searching times in the constituent parts period, it is also possible to obtain it is annual in fixed several statistical time ranges Searching times in the middle constituent parts period.
Wherein, unit time period is the minimum time section for scanning for number of times statistics, and its length can be according to specific Statistics needs pre-set, and such as one day, one week, one month, such as in table 1, with day as the unit time period, word " mobile phone " exists On 2 1st, 2011, searching times be 1182345, the rest may be inferred.Statistical time range is made up of multiple unit time periods, and length can be with Pre-set according to specific statistics needs, such as one week, one month, a season, 1 year.When the acquisition of hot word is carried out, The characteristics of can uprushing with reference to hot word search rate (searching times i.e. in unit time period), can be set to one by unit time period Individual shorter value, such as 1 day, and 1 week or 1 month are set to by statistical time range is corresponding.When the acquisition of seasonal word is carried out, can The characteristics of to combine seasonal word with seasonal variations, unit time period is set to one week or two weeks, and statistical time range is set to One season.When the acquisition of red-letter day property word is carried out, can be according to specific red-letter day feature setting unit period and statistical time range.
Step 102, the searching times in constituent parts period of the server according to search keyword in statistical time range, it is determined that Searching times degree of stability of the search keyword in statistical time range.Wherein, searching times degree of stability exists for reacting searching times Situation of change in statistical time range in each unit time period.Searching times in the constituent parts period change more violent, searching times Degree of stability is then lower;Searching times change in the constituent parts period is gentler, and searching times degree of stability is then higher.
The determination method of searching times degree of stability of the search keyword in statistical time range can be as follows:
Method one
First, the searching times in constituent parts period of the server according to search keyword in statistical time range and the search Total searching times of the key word in statistical time range, determine searching in constituent parts period of the search keyword in statistical time range Rope probability.
Server can be added searching times of the search keyword in statistical time range in the constituent parts period, obtain in system Total searching times in timing section, then with the searching times in the constituent parts period divided by total searching times, obtain the search and close Searching probability of the keyword within the constituent parts period.Specifically can be remembered using being done with the time in the form of the searching probability vector of dimension Searching probability in constituent parts period of the record in statistical time range.For example, the length of statistical time range is 7 days, the length of unit time period Spend for 1 day, the searching probability of each unit time period is respectively 0.1,0.15,0.13,0.26,0.18,0.13,0.05, then correspond to Searching probability vector be { 0.1,0.15,0.13,0.26,0.18,0.13,0.05 }.
Then, searching probability of the server according to search keyword in statistical time range in the constituent parts period, it is determined that search Comentropy of the key word in the statistical time range, and using described information entropy as searching times degree of stability.Wherein, comentropy is For the value of identification information amount, the probability that certain information occurs is more unstable, then corresponding comentropy is then lower, and probability of occurrence is more steady Rule comentropy is higher, it is possible to searching times degree of stability is represented with comentropy.The computing formula of comentropy is as follows:
H (x)=E [I (xi)]=E [log (1/p (xi))]=- ∑ p (xi) log (p (xi)) (i=1,2 ..n)
Wherein, the bottom of logarithm determines the unit of the comentropy obtained by calculating in formula.It is single most commonly with 2 as bottom Position is bit (bit);Adopt with e as bottom, unit is then Nat (Nat);Using other bottoms and unit, and can also can carry out Unit mutually converts.
Above-mentioned example is continuing with, calculating comentropy is:
-(0.1*log0.1+0.15*log0.15+0.13*log0.13+0.26*log0.26+0.18*log0.18+ 0.13*log0.13+0.05*log0.05)。
Method two
First, the searching times in constituent parts period of the server according to search keyword in statistical time range, it is determined that searching The meansigma methodss of searching times of the rope key word in statistical time range, are denoted as the first meansigma methodss.Specifically can be by the constituent parts period Searching times be added again divided by the unit time period number in statistical time range.
Then, searching times in constituent parts period of the search keyword in statistical time range and the first meansigma methodss are calculated The absolute value of difference.
After again, the meansigma methodss of above-mentioned absolute difference are calculated, be denoted as the second meansigma methodss, and the first meansigma methodss are flat with second The ratio of average is used as searching times degree of stability.
Step 103, server determines corresponding with statistical time range according to searching times degree of stability, in each search keyword Ageing word.
Specifically, during hot word is obtained, because the characteristics of there is hot word search rate to uprush, therefore it is accordingly being united Searching times degree of stability in timing section will necessarily be relatively low.So, server can determine the searching times in statistical time range Degree of stability is ageing word corresponding with statistical time range less than the search keyword of certain numerical value (can be denoted as first threshold).Its In, because the algorithm of searching times degree of stability is various, accordingly its unit and the order of magnitude are also more various, and under different situations Requirement to the searching times degree of stability of hot word is also different, thus first threshold can as the case may be and specific algorithm come Pre-set.
In specific implementation process, the acquisition to hot word can take the method for obtaining according to predetermined period and preserving.For example, Cycle can be set to one week, server can week about carry out hot word and obtain, by the time point for being obtained it Front one week is preserved the hot word for getting as statistical time range.
For the expiry date of hot word, predetermined time period can be taken to limit, or can also be according to corresponding hot word Search rate judging, if the search rate of that is, corresponding hot word is less than frequency threshold, in period of the hot word after No longer it is hot word.
Specifically, during the words such as seasonal word, red-letter day property word are obtained, because this kind of word had within correspondence season Or search rate before and after red-letter day is stablized, and the characteristics of search rate is unstable within other periods, therefore search can be obtained and closed Searching times degree of stability of the keyword in multiple (two or three) adjacent statistical time range is compared.So server can enter Row judges, if searching times degree of stability of the search keyword in statistical time range is more than the search time in adjacent statistical time range Number degree of stability, and the difference of the searching times degree of stability in statistical time range and the searching times degree of stability in adjacent statistical time range Value is more than certain numerical value (can be denoted as Second Threshold), it is determined that the search keyword is corresponding with the statistical time range ageing Word.
Wherein, because the algorithm of searching times degree of stability is various, corresponding its unit or the order of magnitude are also more various, and Requirement under different situations to the searching times degree of stability of the words such as seasonal word is also different, so Second Threshold can be according to concrete Situation and specific algorithm are pre-setting.
In specific implementation process, for the acquisition of seasonal word, can be by the search in correspondence season in former years and adjacent season Number of times degree of stability is compared, it is also possible to by period that then corresponding season has been experienced with a upper season equal length when Searching times degree of stability in section is compared and (for example, ends the time for coming into one month summer till now, then can select Pass by the statistical time range that this month is contrasted as with summer in month selected in spring).
Server can be to preserve ageing word, as shown in table 2 by the way of form.
Table 2
Note:Mei Mei, on June 26,20 days to 2011 June in 2011 hot topic name.
After execution of step 103, server has got corresponding ageing word, and server will can get Ageing word corresponding with statistical time range be stored in ageing word data base, it is possible to during by statistics residing for current time The corresponding ageing word of section shows user.
Specifically, server can display to the user that the word such as recent hot word or seasonal word, red-letter day property word in webpage. So, user can scan for according to corresponding ageing word, obtain the information of the commodity more related to demand, to save User's search time, reduce the search burden of server.
In another embodiment of the application, the ageing word pair that server can get according to the application said method Merchandise news is thrown in.
(as server carries out the process of merchandise news input according to user search request) in an implementation process, service Device first can obtain the merchandise news of commodity to be presented, so after the searching request that receiving terminal sends according to the searching request The displaying priority of the commodity to be presented in merchandise news with ageing word is improved afterwards, and the displaying further according to commodity to be presented is excellent First level is thrown in the merchandise news of commodity to be presented.For example, user is during commercial articles searching is carried out, by terminal to Server sends searching request, and search keyword therein is " fashion dress ornament ", and server is received after the searching request, and it is right to obtain The Search Results (commodity i.e. to be presented) answered, if at that time be winter, and this season corresponding seasonal word include " down jackets ", " woollen overcoat ", " leather and fur ", server then in commodity to be presented, will have the to be presented of these ageing words in merchandise news The displaying priority of commodity increases default numerical value, and determines that the arrangement of commodity to be presented is suitable according to the displaying priority after adjustment Sequence, carries out corresponding merchandise news input.
(merchandise news input is carried out in another implementation process as server receives login or browse request rear line Process), server can be thrown in the merchandise news with ageing word.Specifically, in User logs in server When, server can throw in the merchandise news with ageing word in the form of Recommendations to user.For example, current heat Word includes " iphone4 ", " mac book ", and server can be thrown in the pop-up window behind User logs in website to user Comprising the information of the commodity of word such as " iphone4 ", " mac book " in merchandise news.
The embodiment of the present application, server obtains the search time in constituent parts period of each search keyword in statistical time range Number, the searching times in the constituent parts period according to search keyword in statistical time range determine search keyword in statistics Searching times degree of stability in section, further according to the searching times degree of stability for determining, when determining in each search keyword with statistics The corresponding ageing word of section, can reduce the complexity of ageing word acquisition process and improve acquisition efficiency.
As shown in Fig. 2 the acquisition methods of its ageing word provided for the embodiment of the present application are in concrete application scene Flow process, specifically include following steps:
Step 201, the inquiry log of server stores user, inquiry log is searching of being input into when user scans for Rope sentence, and corresponding search time.
Step 202, server carries out word segmentation processing to search statement, and search statement is resolved into into multiple search keywords, Probability statistics are scanned for each search keyword according to unit time period, the search in the constituent parts period in statistical time range is obtained Probability vector.
Step 203, server calculates comentropy of the search keyword in statistical time range according to searching probability vector.Heat During word is obtained, statistical time range can be selected one week to one month, and unit time period can select one day;Seasonal word is obtained During, statistical time range can select a season, unit time period to select one week.
Step 204, comentropy of the server according to each search keyword in statistical time range, in determining search keyword Ageing word.When hot word is obtained, it may be determined that comentropy is hot word less than the search keyword of first threshold;Obtaining season Property word when, the comentropy and the comentropy of current statistic period that can choose adjacent statistical time range is compared, if current system The comentropy of timing section is more than the comentropy of adjacent statistical time range, and difference is more than Second Threshold, it is determined that the search keyword For seasonal word.
Step 205, server carries out the displaying of merchandise news according to ageing word, and ageing word is showed into user.
The embodiment of the present application, server obtains the search time in constituent parts period of each search keyword in statistical time range Number, the searching times in the constituent parts period according to search keyword in statistical time range determine search keyword in statistics Searching times degree of stability in section, further according to the searching times degree of stability for determining, when determining in each search keyword with statistics The corresponding ageing word of section, can reduce the complexity of ageing word acquisition process and improve acquisition efficiency.
Based on identical technology design, the embodiment of the present application additionally provides a kind of ageing word acquisition device, such as Fig. 3 institutes Show, the device can include:
Acquisition module 310, for obtaining the searching times in constituent parts period of each search keyword in statistical time range;
First determining module 320, for the search time in the constituent parts period according to search keyword in statistical time range Number, determines searching times degree of stability of the search keyword in the statistical time range;
Second determining module 330, for according to the searching times degree of stability, determine in each search keyword with it is described The corresponding ageing word of statistical time range.
Preferably, first determining module 320, specifically for:
The searching times in the constituent parts period according to search keyword in statistical time range, and the search keyword exists Total searching times in statistical time range, determine the search in constituent parts period of the search keyword in the statistical time range Probability;
According to searching probability of the search keyword in the statistical time range in the constituent parts period, the search is determined Comentropy of the key word in the statistical time range, and using described information entropy as the searching times degree of stability.
Preferably, second determining module 330, specifically for:
It is determined that the searching times degree of stability in the statistical time range less than first threshold search keyword be with it is described The corresponding ageing word of statistical time range;Or,
It is determined that the searching times degree of stability in statistical time range is more than the searching times degree of stability in adjacent statistical time range, And the searching times degree of stability in statistical time range is big with the difference of the searching times degree of stability in the adjacent statistical time range In Second Threshold, search keyword be ageing word corresponding with the statistical time range.
Preferably, also including display module, for the corresponding ageing word of the statistical time range residing for current time to be shown To user.
It is connected there is provided a kind of ageing word acquisition device with described in above-described embodiment in another embodiment of the application Merchandise news delivery device, including:Information putting module, it is ageing for what is obtained according to the ageing word acquisition device Word is thrown in merchandise news.
Preferably, also for the searching request that receiving terminal sends, and obtained according to the searching request including receiver module Take the merchandise news of commodity to be presented;
Described information putting module, specifically for:
Improve the displaying priority of the commodity to be presented in merchandise news with the ageing word;
The merchandise news of commodity to be presented is thrown according to the displaying priority of commodity to be presented.
Preferably, described information putting module, specifically for the merchandise news with the ageing word is thrown in.
The embodiment of the present application, server obtains the search time in constituent parts period of each search keyword in statistical time range Number, the searching times in the constituent parts period according to search keyword in statistical time range determine search keyword in statistics Searching times degree of stability in section, further according to the searching times degree of stability for determining, when determining in each search keyword with statistics The corresponding ageing word of section, can reduce the complexity of ageing word acquisition process and improve acquisition efficiency.
It will be appreciated by those skilled in the art that the module in the device in embodiment can be carried out point according to embodiment description In being distributed in the device of embodiment, it is also possible to carry out respective change and be disposed other than in one or more devices of the present embodiment.On Stating the module of embodiment can merge into a module, it is also possible to be further split into multiple submodule.
Above-mentioned the embodiment of the present application sequence number is for illustration only, does not represent the quality of embodiment.
Through the above description of the embodiments, those skilled in the art can be understood that the application can be by Software adds the mode of required general hardware platform to realize, naturally it is also possible to which by hardware, but in many cases the former is more Good embodiment.Based on such understanding, what the technical scheme of the application substantially contributed in other words to prior art Part can be embodied in the form of software product, and the computer software product is stored in a storage medium, if including Dry instruction is used so that a station terminal equipment (can be mobile phone, personal computer, server, or network equipment etc.) performs sheet Apply for the method described in each embodiment.
The above is only the preferred implementation of the application, it is noted that for the ordinary skill people of the art For member, on the premise of without departing from the application principle, some improvements and modifications can also be made, these improvements and modifications also should Depending on the protection domain of the application.

Claims (5)

1. a kind of acquisition methods of ageing word, it is characterised in that include:
Obtain the searching times in constituent parts period of each search keyword in statistical time range;
The searching times in the constituent parts period according to search keyword in statistical time range, determine the search keyword in institute State the searching times degree of stability in statistical time range;
According to the searching times degree of stability, ageing word corresponding with the statistical time range is determined in each search keyword;
Wherein, the search keyword is server when user obtains the user input after webpage is input into search statement The search statement, and carry out what word segmentation processing was obtained to the search statement, the server is corresponding to record user's search The time of operation;
Searching times in the constituent parts period according to search keyword in statistical time range, determine the search keyword Searching times degree of stability in the statistical time range, specially:
The searching times in the constituent parts period and the search keyword according to search keyword in statistical time range are in statistics Total searching times in period, determine that the search in constituent parts period of the search keyword in the statistical time range is general Rate;
According to searching probability of the search keyword in the statistical time range in the constituent parts period, determine that the search is crucial Comentropy of the word in the statistical time range, and using described information entropy as the searching times degree of stability;
Wherein, the searching times degree of stability is used to react change feelings of the searching times in statistical time range in each unit time period Condition.
2. the method for claim 1, it is characterised in that described according to the searching times degree of stability, closes in each search Ageing word corresponding with the statistical time range is determined in keyword, specially:
It is determined that the searching times degree of stability in the statistical time range is and the statistics less than the search keyword of first threshold Period corresponding ageing word;Or,
It is determined that the searching times degree of stability in statistical time range is more than the searching times degree of stability in adjacent statistical time range, and The difference of the searching times degree of stability in statistical time range and the searching times degree of stability in the adjacent statistical time range is more than the Two threshold values, search keyword be ageing word corresponding with the statistical time range.
3. the method for claim 1, it is characterised in that described according to the searching times degree of stability, closes in each search After ageing word corresponding with the statistical time range is determined in keyword, also include:By the statistical time range pair residing for current time The ageing word answered shows user.
4. a kind of ageing word acquisition device, it is characterised in that include:
Acquisition module, for obtaining the searching times in constituent parts period of each search keyword in statistical time range;
First determining module, for the searching times in the constituent parts period according to search keyword in statistical time range, it is determined that Searching times degree of stability of the search keyword in the statistical time range;
Second determining module, for according to the searching times degree of stability, when determining in each search keyword with the statistics The corresponding ageing word of section;
Wherein, the search keyword is server when user obtains the user input after webpage is input into search statement The search statement, and carry out what word segmentation processing was obtained to the search statement, the server is corresponding to record user's search The time of operation;
First determining module, specifically for:
The searching times in the constituent parts period and the search keyword according to search keyword in statistical time range are in statistics Total searching times in period, determine that the search in constituent parts period of the search keyword in the statistical time range is general Rate;
According to searching probability of the search keyword in the statistical time range in the constituent parts period, determine that the search is crucial Comentropy of the word in the statistical time range, and using described information entropy as the searching times degree of stability;
Wherein, the searching times degree of stability is used to react change feelings of the searching times in statistical time range in each unit time period Condition.
5. device as claimed in claim 4, it is characterised in that second determining module, specifically for:
It is determined that the searching times degree of stability in the statistical time range is and the statistics less than the search keyword of first threshold Period corresponding ageing word;Or,
It is determined that the searching times degree of stability in statistical time range is more than the searching times degree of stability in adjacent statistical time range, and The difference of the searching times degree of stability in statistical time range and the searching times degree of stability in the adjacent statistical time range is more than the Two threshold values, search keyword be ageing word corresponding with the statistical time range.
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