CN105653705A - Hot event searching method and device - Google Patents
Hot event searching method and device Download PDFInfo
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- CN105653705A CN105653705A CN201511026203.9A CN201511026203A CN105653705A CN 105653705 A CN105653705 A CN 105653705A CN 201511026203 A CN201511026203 A CN 201511026203A CN 105653705 A CN105653705 A CN 105653705A
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- G—PHYSICS
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
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- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
Abstract
The embodiment of the invention provides a hot event searching method and device. The method comprises the steps of determining query words with the search volume greater than a first preset threshold value in a preset time period from the current time; determining the search trend index of the query words; determining the query words with the search trend index greater than a second preset threshold value as real-time hot words; storing the determined real-time hot words in a hot word database; when receiving search terms sent by users, sequencing search results on the basis of the hot word database; and sending the sequenced search results to the users. According to the method provided by the embodiment of the invention, the search results are sequenced on the basis of the hot word database, the sequencing of the search results can be controlled by means of the sequencing mode when the search terms sent by the users directs at hot events and the results, related to the hot events, in the search results are forward positioned, so that the problem that the hot event search feedback of search engines is delayed in the prior art is avoided.
Description
Technical field
The present invention relates to field of information processing, it is specifically related to a kind of hot ticket searching method and device.
Background technology
Along with the development of science and technology, internet has been applied to the every aspect of people's life at present, become people give pleasure to live in an indispensable part.
People can obtain the multi-media information self wanting to obtain whenever and wherever possible by internet searching, such as, and webpage, news, picture, video, audio frequency, text etc. Along with the lifting of search engine rate of utilization, it has now become a kind of effective means of user's obtaining information. The current sequence for Search Results has according to mainly containing following dimension degree:
1) dependency dimension degree
As, the text matches degree of multimedia file title, descriptor, query word, semantic layer matching degree etc.;
2) dimension degree is clicked
The searching times of video on different time dimension degree, clicking rate etc.;
3) document quality dimension degree
Described document quality dimension degree refers to the attribute factor of multimedia file itself, as video file then refer to a yard rate, time length etc.;
4) time dimension degree
The issuing time of multimedia file and the time of renewal;
5) other dimension degree
Search Results candidate collection is done last sequence by the score of fixing weight each dimension degree comprehensive by search engine usually.
But dissimilar query word may be different to the attention degree of each dimension degree, if all adopting unified order models for various types of query word, some problems can be produced, as, when hot ticket occurs, the representative query word that a large number of users searches for this event by search engine in a short time searches for associated multimedia file, when but search engine presents Search Results according to unified order models to user, often first query word is carried out participle, mate with the file title in Search Results storehouse again, Search Results in the multimedia file that the match is successful, before often the Search Results with the click of higher history being come, but, the comparison often occurred due to hot ticket is unexpected, and the time is shorter, therefore, the usual clicking rate of associated multimedia file is lower than other relevant to query word in history multimedia file, for example, such as during Nepal's Explosion earthquake, query word " Nepal's earthquake " volumes of searches is increased sharply, but under unified order models, video such as the sequence of " Nepal's tourism " having more history number of clicks can be very forward, and the earthquake associated video newly reached the standard grade sorts often rearward.
Therefore, coming Search Results above in the result that user searches is not often the content that user really wants search, and this makes user's search experience not good.
Summary of the invention
The problem that during in order to solve that in prior art, hot ticket is searched for by user by search engine, search experience is not good, the embodiment of the present invention is expected to provide a kind of hot ticket searching method and device.
Embodiments provide a kind of hot ticket searching method, comprising:
Determine to be greater than the query word of the first predetermined threshold value apart from volumes of searches in current time preset time period;
Determine the search Trend index of described query word;
The query word that search Trend index is greater than the 2nd predetermined threshold value is defined as real-time hot word;
Determined real-time hot word is stored in hot word database;
When receiving the search phrase that user sends, based on described hot word database, Search Results is sorted;
Search Results after sequence is sent to user.
Preferably, the described search Trend index determining described query word is tr:
Tr=�� wiratioi,
Wherein, described ratioiIt it is the ratio apart from volumes of searches under current time preset time period volumes of searches and different dimensions; wiFor the weighted value of different dimensions; Described different dimensions comprise following dimension degree at least one of them: apart from the preset time period dimension degree before current time preset time period, apart from two preset time period dimension degree before current time preset time period, distance the day before yesterday and current time same time point preset time period dimension degree, the last week distance and current time same time point preset time period dimension degree on the same day.
Preferably, in the weighted value of described different dimensions, described the last week is on the same day apart from the weighted value that the weighted value with current time same time point preset time period dimension degree is maximum.
Preferably, described method also comprises: upgraded by the real-time hot word in hot word database in the following manner:
When real-time hot word enters hot word database for the first time, it is determined that the search Trend index of the real-time hot word that in 24 hours, searching times is maximum in one hour; When determined search Trend index is less than the 3rd predetermined threshold value ttr_lower, it is determined that described hot word is described in real time is not burst hot ticket, is removed by described real-time hot word from hot word database.
Preferably, described method also comprises: upgraded by the real-time hot word in hot word database in the following manner:
The volumes of searches volumes of searches firstday of maximum hour and search Trend index tr got in real-time hot word in entering 24 hours of hot word database for the first timeold;
After real-time hot word enters hot word database, determined same hour of every day the search Trend index tr of described real-time word as followsnew:
Wherein impnewIt is the volumes of searches of renewable time, impoldVolumes of searches when being enter hot word database, decay is reduction coefficient;
As determined trnewWhen being less than the 3rd predetermined threshold value ttr_lower, described real-time hot word is removed from hot word database.
Preferably, described based on described hot word database, Search Results is sorted, comprising:
Described search phrase is carried out participle, obtains query word;
Described query word is mated with the real-time hot word in current hot word database;
When the match is successful for the real-time hot word in described query word and current hot word database, increase Search Results after the weight of time dimension degree, Search Results is sorted.
Embodiments providing a kind of hot ticket search device, described device comprises: determination module, memory module, receiver module, order module and sending module; Wherein,
Described determination module, for determining to be greater than the query word of the first predetermined threshold value apart from volumes of searches in current time preset time period; Also for determining the search Trend index of described query word; Also it is defined as real-time hot word for determined search Trend index being greater than the query word of the 2nd predetermined threshold value;
Described memory module, for being stored in hot word database by determined real-time hot word;
Described receiver module, for receiving the search phrase that user sends;
Described order module, for sorting to Search Results based on described hot word database;
Described sending module, for being sent to user by the Search Results after sequence.
Preferably, described determination module determines described query word search Trend index tr in the following manner:
Tr=�� wiratioi,
Wherein, described ratioiIt it is the ratio apart from volumes of searches under current time preset time period volumes of searches and different dimensions; wiFor the weighted value of different dimensions; Described different dimensions comprise following dimension degree at least one of them: apart from the preset time period dimension degree before current time preset time period, apart from two preset time period dimension degree before current time preset time period, distance the day before yesterday and current time same time point preset time period dimension degree, the last week distance and current time same time point preset time period dimension degree on the same day.
Preferably, in the weighted value of described different dimensions, described the last week is on the same day apart from the weighted value that the weighted value with current time same time point preset time period dimension degree is maximum.
Preferably, described device also comprises: more new module, for being upgraded by the real-time hot word in hot word database;
Described more new module, comprising: really stator modules, judge submodule block and remove submodule block; Wherein,
Described true stator modules, for when real-time hot word enters hot word database for the first time, it is determined that the search Trend index of the real-time hot word that in 24 hours, searching times is maximum in one hour;
Described judgement submodule block, for judging whether determined search Trend index is less than the 3rd predetermined threshold value ttr_lower;
Described true stator modules, for when judging the judged result of submodule block as being, it is determined that described hot word is described in real time is not burst hot ticket;
Described remove submodule block, for being removed from hot word database by described real-time hot word.
Preferably, described true stator modules, also determines the volumes of searches volumes of searches firstday of maximum hour and search Trend index tr for entering for the first time at real-time hot word in 24 hours of hot word databaseold; Also for after entering hot word database at real-time hot word, determining same hour of every day the search Trend index tr of described real-time hot word as followsnew:
Wherein impnewIt is the volumes of searches of renewable time, impoldVolumes of searches when being enter hot word database, decay is reduction coefficient;
Described judgement submodule block, for judging determined trnewWhether it is less than the 3rd predetermined threshold value ttr_lower;
Described remove submodule block, for as determined trnewWhen being less than the 3rd predetermined threshold value ttr_lower, described real-time hot word is removed from hot word database.
Preferably, described order module comprises: participle submodule block, matched sub-block and sorting sub-module; Wherein,
Described participle submodule block, for described search phrase is carried out participle, obtains query word;
Described matched sub-block, for mating described query word with the real-time hot word in current hot word database;
Described sorting sub-module, when the match is successful for the real-time hot word in described query word and current hot word database, increases Search Results after the weight of time dimension degree, is sorted by Search Results.
Compared with prior art, the embodiment of the present invention comprises following advantage:
A kind of hot ticket searching method that the embodiment of the present invention provides and device, determine to be greater than the query word of the first predetermined threshold value apart from volumes of searches in current time preset time period by network side or terminating unit, like this, can tentatively determine which query word can as the candidate word of real-time hot word, afterwards, the search Trend index of each candidate word is determined respectively, the candidate word that search Trend index is greater than the 2nd predetermined threshold value is defined as real-time hot word, and determined real-time hot word is stored in hot word database, afterwards, when receiving the search phrase that user sends, based on described hot word database, Search Results is sorted, the Search Results after sequence is sent to user. like this, network side or terminating unit can after receiving the search phrase that user sends, based on hot word database, Search Results is sorted, such sequence mode can differentiate whether the search phrase that user sends is for hot ticket, especially happen suddenly the search phrase of hot ticket, and after determining Search Results, based on hot word database, Search Results is sorted, this kind of sequence mode can when the search phrase that user sends be the search phrase for hot ticket, the sequence of Search Results is controlled, make sort result position relevant to hot ticket in Search Results in advance, thus avoid the problem that search engine in prior art is sluggish to hot ticket search feedback.
Accompanying drawing explanation
The hot ticket searching method schema one that Fig. 1 provides for the embodiment of the present invention;
The hot ticket searching method flowchart 2 that Fig. 2 provides for the embodiment of the present invention;
Certain popular variety query word that Fig. 3 provides for embodiment of the present invention volumes of searches change curve in 192 hours;
Fig. 4 provides for the embodiment of the present invention Oscar Award prize-giving same day, 24 hours volumes of searches change comparison diagrams on the same day one day after and before a week;
The basic block diagram of the hot ticket search device that Fig. 5 provides for the embodiment of the present invention.
Embodiment
Embodiment one
With reference to Fig. 1, show the flow chart of steps of a kind of hot ticket searching method embodiment one of the present invention, specifically can comprise:
Step 101, the query word determining to be greater than the first predetermined threshold value apart from volumes of searches in current time preset time period;
Concrete, the method is applied to network side or end side; Wherein, network side refers to be positioned at the server possessing search engine functionality of network side; Terminating unit can be any equipment possessing function of search of computer, mobile phone, panel computer, personal digital assistant etc.
Concrete, the time length of preset time period can be arranged as required, such as, can be arranged to one hour, two hours, three hours ... can also be arranged to 30 minutes, 45 minutes etc.; Preferably, it is possible to be set to one hour.
Concrete, before this step, it is necessary to the search phrase of user is carried out participle; This is because the search phrase of user is normally made up of multiple word, a such as complete sentence, consequently, it is desirable to search phrase is carried out participle, obtains multiple queries word.
Concrete, described first predetermined threshold value can be arranged according to actual needs, is not restricted here.
Step 102, the search Trend index determining described query word;
Concrete, after determining the query word being greater than the first predetermined threshold value apart from volumes of searches in current time preset time period in a step 101, can determining the search Trend index of described query word further, described search Trend index can be used in characterizing the volumes of searches changing conditions of described query word.
Step 103, the query word that search Trend index is greater than the 2nd predetermined threshold value are defined as real-time hot word.
Concrete, in distance current time preset time period, volumes of searches is greater than in the query word of the first predetermined threshold value, it is determined that going out to search for the query word that Trend index is greater than the 2nd predetermined threshold value, these query words determined are confirmed as real-time hot word.
Real-time hot word is the word for describing hot ticket.
Step 104, determined real-time hot word is stored in hot word database;
After step 101 is to 103, real-time hot word can be determined, afterwards described real-time hot word is stored in hot word database.
Step 105, receive user send search phrase time, based on described hot word database, Search Results is sorted;
In this step, when receiving the search phrase of user's transmission, also namely receiving the searching request that user sends, described searching request comprises described search phrase; Described search phrase is the key sentence for characterizing the content of multimedia that user wishes to search for or keyword.
After receiving the search phrase that user sends, based on hot word database, Search Results can be sorted, whether this kind of sequence is the content of multimedia for hot ticket in order to what differentiate that user searches for, if, then based on described hot word database, the sequencer procedure of Search Results can be controlled, thus foremost is mentioned in the sequence of the Search Results about hot ticket.
Step 107, by sequence after Search Results be sent to user.
Mentioned here Search Results after sequence is sent to user, refers to and possible represent the Search Results that the Search Results after sequence is presented on the search interface of user for user to select self needs by form with any.
After receiving the search phrase that user sends, based on hot word database, Search Results can be sorted, whether this kind of sequence is the content of multimedia for hot ticket in order to what differentiate that user searches for, if, then based on described hot word database, the sequencer procedure of Search Results can be controlled, thus will about hot ticket, foremost is mentioned in the sequence of the Search Results of the hot ticket that especially happens suddenly, and the Search Results after sequence is sent to user.
To sum up, a hot ticket searching method provided according to embodiments of the present invention, determine to be greater than the query word of the first predetermined threshold value apart from volumes of searches in current time preset time period by network side or terminating unit, like this, can tentatively determine which query word can as the candidate word of real-time hot word, afterwards, the search Trend index of each candidate word is determined respectively, the candidate word that search Trend index is greater than the 2nd predetermined threshold value is defined as real-time hot word, and determined real-time hot word is stored in hot word database, afterwards, when receiving the search phrase that user sends, based on described hot word database, Search Results is sorted, the Search Results after sequence is sent to user. like this, network side or terminating unit can after receiving the search phrase that user sends, based on hot word database, Search Results is sorted, such sequence mode can differentiate whether the search phrase that user sends is for hot ticket, especially happen suddenly the search phrase of hot ticket, and after determining Search Results, based on hot word database, Search Results is sorted, this kind of sequence mode can when the search phrase that user sends be the search phrase for hot ticket, the sequence of Search Results is controlled, make sort result position relevant to hot ticket in Search Results in advance, thus avoid the problem that search engine in prior art is sluggish to hot ticket search feedback.
Embodiment two
With reference to Fig. 2, show the flow chart of steps of a kind of hot ticket searching method embodiment of the present invention, specifically can comprise:
Step 201, the query word determining to be greater than the first predetermined threshold value apart from volumes of searches in current time preset time period;
Concrete, the method is applied to network side or end side; Wherein, network side refers to be positioned at the server possessing search engine functionality of network side; Terminating unit can be any equipment possessing function of search of computer, mobile phone, panel computer, personal digital assistant etc.
Concrete, before this step, it is necessary to the search phrase of user is carried out participle; This is because the search phrase of user is normally made up of multiple word, such as search phrase can be a complete sentence, consequently, it is desirable to search phrase is carried out participle, obtains multiple queries word.
Concrete, the time length of preset time period can be arranged as required, such as, can be arranged to one hour, two hours, three hours, it is also possible to is arranged to 30 minutes, 45 minutes etc.; Preferably, it is possible to be set to one hour.
Concrete, described first predetermined threshold value can be arranged according to actual needs, is not restricted here.
Step 202, the search Trend index determining described query word;
Concrete, after determining the query word being greater than the first predetermined threshold value apart from volumes of searches in current time preset time period in step 201, can determining the search Trend index of described query word further, described search Trend index can be used in characterizing the volumes of searches changing conditions of described query word.
Fig. 3 is certain popular variety query word (non sudden hot ticket) 192 hours (8 days) interior volumes of searches change curve, and wherein, transverse axis represents the time, and unit is hour, and the longitudinal axis represents volumes of searches.
Fig. 4 is that Oscar Award was given out an award 04 month 19 days (hot ticket) same day, 04 month 20 days one day after, and before one week, 24 hours volumes of searches of 04 month 13 days change comparison diagrams on the same day. Wherein, transverse axis represents the time, and unit is hour, and the longitudinal axis represents volumes of searches.
If preset time period is one hour, as shown in Figure 3, volumes of searches peak place (Friday) is this variety broadcast time at weekend, it can be seen that the impact of popular search time in being subject to a day during to contrast volumes of searches apart from one hour dimension degree before current time, as higher than the morning in volumes of searches at noon; With the day before yesterday and current time same time dimension degree contrast volumes of searches can by the impact searching for temperature weekend, as much higher than volumes of searches Thursday in Friday; And as seen in Figure 4, (namely hot ticket query word to be separated by a Zhou Weidu, the last week is same hour dimension degree on the same day) contrast volumes of searches and have a greater change, therefore, taking week age dimension degree of being separated by as principal dimensions, can avoiding the impact that the volumes of searches cycle fluctuates and brings, but not hot ticket query word is separated by, volumes of searches change in a week is relatively stable; The impact of comprehensive each dimension degree can draw following formula, for determining the search Trend index tr of current query word:
Tr=�� wiratioi,
Wherein, described ratioiIt it is the ratio apart from volumes of searches under current time preset time period volumes of searches and different dimensions; wiFor the weighted value of different dimensions; Described different dimensions comprise following dimension degree at least one of them: apart from the preset time period dimension degree before current time preset time period, apart from two preset time period dimension degree before current time preset time period, distance the day before yesterday and current time same time point preset time period dimension degree, the last week distance and current time same time point preset time period dimension degree on the same day.
Below by a concrete example, above-mentioned each dimension degree is illustrated.
If preset time period is 1 hour, current time is the 13:40 on Tuesday on the 3rd November in 2015, then apart from current time preset time period, namely distance current time 1 hour, refers to the 12:40 to 13:40 on November 3; Then refer to the 11:40 to 12:40 on November 3 apart from the preset time period before current time preset time period, refer to the 10:40 to 11:40 on November 3 apart from two preset time period before current time preset time period; Apart from the day before yesterday and the same time point preset time period of current time, referring to a hour before the 13:40 in the day before yesterday (November 2), namely 12:40 the day before yesterday is to 13:40 the day before yesterday; The last week, on the same day apart from time point preset time period same as current time, refers to a hour before 13: 40 of Tuesday of the last week, that is, the 12:40 to 13:40 on 27 Tuesday of November. With reason, when preset time period is other time, each concrete time range representated by dimension degree can be determined by identical method.
As can be seen from Figure 4, to be separated by, week age dimension degree contrast volumes of searches has a greater change hot ticket query word, and taking week age dimension degree of being separated by as principal dimensions, the impact that the volumes of searches cycle fluctuates can be avoided, therefore, in above-mentioned formula, the last week is configured to maximum apart from the weighted value with current time same time point preset time period dimension degree on the same day, the impact that the volumes of searches cycle fluctuates can be avoided, namely, in the weighted value of described different dimensions, described the last week is on the same day apart from the weighted value that the weighted value with current time same time point preset time period dimension degree is maximum.
Below by a concrete example, the defining method of search Trend index is described.
If, preset time period is one hour, current time is 21:00 on May 13rd, 2015, query word " brother of running " apart from current time in one hour the volumes of searches of (on 05 13rd, 2015 20:00 to 21:00) be 120000, the volumes of searches of one hour (the 2015 year 05 month 13 day 19:00 to 20:00) of distance current time before one hour is 100000, same hour of the day before yesterday is (namely, on 05 12nd, 2015 20:00 to 21:00) volumes of searches be 110000, the last week, same hour (namely on the same day, on May 6th, 2015 20:00 to 21:00) volumes of searches is 90000, then this search word is respectively at the ratio of the volumes of searches of above-mentioned dimension degree:
Ratio-hour=120000/100000;
Ratio-day=120000/110000;
Ratio-week=120000/90000;
Afterwards, it is determined that the weights of different dimensions, the search Trend index tr of described query word can be determined.
Step 203, the query word that search Trend index is greater than the 2nd predetermined threshold value are defined as real-time hot word.
Concrete, in distance current time preset time period, volumes of searches is greater than in the query word of the first predetermined threshold value, it is determined that going out to search for the query word that Trend index is greater than the 2nd predetermined threshold value, these query words determined are confirmed as real-time hot word.
Real-time hot word is the word for describing hot ticket.
Concrete, described 2nd predetermined threshold value is a predetermined threshold value of search Trend index, and this predetermined threshold value can be determined according to actual observation data cases. When the search Trend index of the query word by being greater than the first predetermined threshold value apart from volumes of searches in current time preset time period arranges by order from big to small, the quantity that this threshold value is used for searching for these query word corresponding to Trend index controls between the 3% to 5% of all query words. Also be exactly, via the control of the 2nd predetermined threshold value, the query word being finally confirmed as real-time hot word by search Trend index by the query word corresponding to before getting all search Trend index to little putting in order greatly 3% to 5%.
Step 204, determined real-time hot word is stored in hot word database;
After step 201 is to 203, real-time hot word can be determined, afterwards described real-time hot word is stored in hot word database.
Afterwards, redefine new real-time hot word every one hour repeated execution of steps 201 to step 204, and it is stored into hot word database.
In another kind of optional embodiment of the present invention, described method also comprises: upgraded by the real-time hot word in hot word database in the following manner:
When real-time hot word enters hot word database for the first time, it is determined that the search Trend index of the real-time hot word that in 24 hours, searching times is maximum in one hour; When determined search Trend index is less than the 3rd predetermined threshold value ttr_lower, it is determined that described by described real-time hot word is not burst hot ticket, is removed by described real-time hot word from hot word database;
The search Trend index tr of the query word entering hot word database for the first time is greater than the first predetermined threshold value, but, the search Trend index of this query word can be allowed in ensuing 24 hours to be less than the first predetermined threshold value, but it is greater than the 3rd predetermined threshold value, otherwise hot word when being regarded as non-solid, 3rd predetermined threshold value is generally the threshold value being less than the first predetermined threshold value, and after the first predetermined threshold value is determined, the value of the 3rd predetermined threshold value is generally the 50% of the first predetermined threshold value value.
In another optional embodiment of the present invention, described method also comprises: upgraded by the real-time hot word in hot word database in the following manner:
The volumes of searches volumes of searches firstday of maximum hour and search Trend index tr got in real-time hot word in entering 24 hours of hot word database for the first timeold;
After real-time hot word enters hot word database, determined same hour of every day the search Trend index tr of described real-time word as followsnew:
Wherein impnewIt is the volumes of searches of renewable time, impoldVolumes of searches when being enter hot word database, decay is reduction coefficient;
As determined trnewWhen being less than the 3rd predetermined threshold value ttr_lower, described real-time hot word is removed from hot word database.
Such scheme is when practical application, and the value of decay can be 0.9; The reason arranging reduction coefficient in above-mentioned formula is: when a multimedia file, as, webpage, video, audio frequency, text etc., after becoming the multimedia file corresponding to hot ticket, along with the increase of number of days, the multimedia file of the new issue corresponding to hot ticket can accumulate certain click volume, and at this moment the weight of click volume dimension degree is corresponding is promoted, then need the weight weakening time dimension degree.
Below by a concrete example, the real-time hot word in above-mentioned hot word database is carried out update method and briefly introduces.
If maximum search amount time of occurrence in, query word " Nepal's earthquake " enters 24 hours of hot word database for the first time is on 04 26th, 2015 20:00, volumes of searches is 10000, if, troldBe 100, ttr_lower=40, afterwards, upgrade its search Trend index tr every daynewAs follows:
During 20:00 on the 27th April in 2015, volumes of searches is 11000, trnew=trold��(11000/10000)��0.9(11000�C10000)=99;
During 20:00 on the 28th April in 2015, volumes of searches is 10000, trnew=trold��(10000/10000)��0.9(10000�C10000)=81;
����
Every day is new search Trend index tr morenew, until trnew< during ttr_lower, described query word is moved out hot word file.
Step 205, receive user send search phrase time, described search phrase is carried out participle, obtains query word;
In this step, described search phrase is the key sentence for characterizing the content of multimedia that user wishes to search for or keyword.
Step 206, described query word is mated with the real-time hot word in current hot word database;
Concrete, hot word database is inquired about the real-time hot word whether having and mating mutually with described query word.
Step 207, when the match is successful for the real-time hot word in described query word and current hot word database, increase Search Results after the weight of time dimension degree, Search Results is sorted;
In this step, when the match is successful for the real-time hot word in described query word and current hot word database, what can determine that user searches for is the multimedia file that hot ticket is corresponding, at this moment, increase the weight of Search Results at time dimension degree, can putting in order in advance by the multimedia file of recent renewal in Search Results, like this, user can find the multimedia file oneself wanting the hot ticket searched corresponding faster.
Concrete, for video search, to how increasing the method for Search Results in the weight of time dimension degree it is introduced.
The final score final_score of corresponding Search Results on time dimension degree is determined by following formula:
Final_score=matcha��qualityb��freshc;
Wherein match represents matching degree, and quality represents video quality score, and fresh represents time dimension scores, and a, b, c are constants, is respectively the weighted value of match, quality and fresh;
Wherein, the time weighted value of dimension scores fresh is determined by following formula,
The search Trend index tr of the query word corresponding to Search Results is normalized in interval [1,2] scope, obtains norm_tr, improved the value of weight c by following formula:
C=c �� norm_tr.
Step 208, by sequence after Search Results be sent to user.
Mentioned here Search Results after sequence is sent to user, refers to and possible represent the Search Results that the Search Results after sequence is presented on the search interface of user for user to select self needs by form with any.
After receiving the search phrase that user sends, based on hot word database, Search Results can be sorted, whether this kind of sequence is the content of multimedia for hot ticket in order to what differentiate that user searches for, if, then based on described hot word database, the sequencer procedure of Search Results can be controlled, thus will about hot ticket, foremost is mentioned in the sequence of the Search Results of the hot ticket that especially happens suddenly, and the Search Results after sequence is sent to user.
Visible, utilize the hot ticket searching method that the embodiment of the present invention two provides, real-time hot word can be determined via the scheme of a kind of science, and become hot word database based on this journey, after the search phrase receiving user, described search phrase is carried out participle, obtain query word, described query word is mated with the real-time hot word in current hot word database, thus determine the search intention of user fast, whether what namely user searched for is hot ticket, especially happen suddenly the multimedia file corresponding to hot ticket, if, then increase Search Results after the weight of time dimension degree, Search Results is sorted, putting in order of multimedia file corresponding to hot ticket is shifted to an earlier date, thus improve the search experience of user.
Device embodiment
With reference to Fig. 5, showing the structure block diagram of a kind of hot ticket search device embodiment of the present invention, described device is positioned on mobile terminal, and described device comprises: determination module 51, memory module 52, receiver module 53, order module 54 and sending module 55; Wherein,
Described determination module 51, for determining to be greater than the query word of the first predetermined threshold value apart from volumes of searches in current time preset time period; Also for determining the search Trend index of described query word; Also it is defined as real-time hot word for determined search Trend index being greater than the query word of the 2nd predetermined threshold value;
Described memory module 52, for being stored in hot word database by determined real-time hot word;
Described receiver module 53, for receiving the search phrase that user sends;
Described order module 54, for sorting to Search Results based on described hot word database;
Described sending module 55, for being sent to user by the Search Results after sequence.
In such scheme, described determination module 51 determines described query word search Trend index tr in the following manner:
Tr=�� wiratioi,
Wherein, described ratioiIt it is the ratio apart from volumes of searches under current time preset time period volumes of searches and different dimensions; wiFor the weighted value of different dimensions; Described different dimensions comprise following dimension degree at least one of them: apart from the preset time period dimension degree before current time preset time period, apart from two preset time period dimension degree before current time preset time period, distance the day before yesterday and current time same time point preset time period dimension degree, the last week distance and current time same time point preset time period dimension degree on the same day.
Concrete, the time length of preset time period can be arranged as required, such as, can be arranged to one hour, two hours, three hours, it is also possible to is arranged to 30 minutes, 45 minutes etc.; Preferably, it is possible to be set to one hour.
In such scheme, in the weighted value of described different dimensions, described the last week is on the same day apart from the weighted value that the weighted value with current time same time point preset time period dimension degree is maximum.
In such scheme, described device also comprises: more new module 56, for being upgraded by the real-time hot word in hot word database;
Described more new module 56, comprising: really stator modules, judge submodule block and remove submodule block; Wherein,
Described true stator modules, for when real-time hot word enters hot word database for the first time, it is determined that the search Trend index of the real-time hot word that in 24 hours, searching times is maximum in one hour;
Described judgement submodule block, for judging whether determined search Trend index is less than the 3rd predetermined threshold value ttr_lower;
Described true stator modules, for when judging the judged result of submodule block as being, it is determined that described hot word is described in real time is not burst hot ticket;
Described remove submodule block, for being removed from hot word database by described real-time hot word.
In another kind of optional embodiment of the present invention, described true stator modules, also determines the volumes of searches volumes of searches firstday of maximum hour and search Trend index tr for entering for the first time at real-time hot word in 24 hours of hot word databaseold; Also for after entering hot word database at real-time hot word, determining same hour of every day the search Trend index tr of described real-time hot word as followsnew:
Wherein impnewIt is the volumes of searches of renewable time, impoldVolumes of searches when being enter hot word database, decay is reduction coefficient;
Described judgement submodule block, for judging determined trnewWhether it is less than the 3rd predetermined threshold value ttr_lower;
Described remove submodule block, for as determined trnewWhen being less than the 3rd predetermined threshold value ttr_lower, described real-time hot word is removed from hot word database.
In the optional embodiment of another kind of the present invention, described order module comprises: participle submodule block, matched sub-block and sorting sub-module; Wherein,
Described participle submodule block, for described search phrase is carried out participle, obtains query word;
Described matched sub-block, for mating described query word with the real-time hot word in current hot word database;
Described sorting sub-module, when the match is successful for the real-time hot word in described query word and current hot word database, increases Search Results after the weight of time dimension degree, is sorted by Search Results.
In specific implementation process, above-mentioned determination module 51, memory module 52, receiver module 53, order module 54, sending module 55, more new module 56, true stator modules, judge submodule block, remove submodule block, participle submodule block, matched sub-block and sorting sub-module can by the central processing unit (CPU in network side server or end side terminating unit, CentralProcessingUnit), microprocessor (MPU, MicroProcessingUnit), digital signal processor (DSP, or logic array (FPGA able to programme DigitalSignalProcessor), Field-ProgrammableGateArray) realize.
For device embodiment, due to itself and embodiment of the method basic simlarity, so what describe is fairly simple, relevant part illustrates see the part of embodiment of the method.
Each embodiment in this specification sheets all adopts the mode gone forward one by one to describe, each embodiment emphasis illustrate be the difference with other embodiments, between each embodiment identical similar part mutually see.
Those skilled in the art are it should be appreciated that the embodiment of the embodiment of the present invention can be provided as method, device or computer program. Therefore, the embodiment of the present invention can adopt the form of complete hardware embodiment, completely software implementation or the embodiment in conjunction with software and hardware aspect. And, the embodiment of the present invention can adopt the form at one or more upper computer program implemented of computer-usable storage medium (including but not limited to multiple head unit, CD-ROM, optical memory etc.) wherein including computer usable program code.
The embodiment of the present invention is that schema and/or skeleton diagram with reference to method according to embodiments of the present invention, terminating unit (system) and computer program describe. Should understand can by the combination of the flow process in each flow process in computer program instructions flowchart and/or skeleton diagram and/or square frame and schema and/or skeleton diagram and/or square frame. These computer program instructions can be provided to the treater of multi-purpose computer, special purpose computer, Embedded Processor or other programmable datas process terminating unit to produce a machine so that the instruction performed by the treater of computer or other programmable datas process terminating unit is produced for realizing the device of function specified in schema flow process or multiple flow process and/or skeleton diagram square frame or multiple square frame.
These computer program instructions also can be stored in and computer or other programmable datas can be guided to process in the computer-readable memory that terminating unit works in a specific way, making the instruction that is stored in this computer-readable memory produce the manufacture comprising instruction device, this instruction device realizes the function specified in schema flow process or multiple flow process and/or skeleton diagram square frame or multiple square frame.
These computer program instructions also can be loaded on computer or other programmable datas process terminating unit, make to perform a series of operation steps to produce computer implemented process on computer or other programmable terminal equipment, thus the instruction performed on computer or other programmable terminal equipment is provided for realizing the step of the function specified in schema flow process or multiple flow process and/or skeleton diagram square frame or multiple square frame.
Although having described the preferred embodiment of the embodiment of the present invention, but those skilled in the art once the substantially creative concept of cicada, then these embodiments can be made other change and amendment. Therefore, it is intended that the appended claims shall be construed comprise preferred embodiment and fall into all changes and the amendment of scope.
Finally, also it should be noted that, herein, the such as relational terms of first and second grades and so on is only used for separating an entity or operation with another entity or operational zone, and not necessarily requires or imply to there is any this kind of actual relation or sequentially between these entities or operation. And, term " comprises ", " comprising " or its any other variant are intended to contain comprising of nonexcludability, so that comprise the process of a series of key element, method, article or terminating unit not only comprise those key elements, but also comprise other key elements clearly do not listed, or also comprise the key element intrinsic for this kind of process, method, article or terminating unit. When not more restrictions, the key element limited by statement " comprising ... ", and be not precluded within process, method, article or the terminating unit comprising described key element and also there is other identical element.
Above to a kind of hot ticket searching method provided by the present invention and device, it is described in detail, apply specific case herein the principle of the present invention and enforcement mode to have been set forth, illustrating just for helping the method understanding the present invention and core concept thereof of above embodiment; Meanwhile, for one of ordinary skill in the art, according to the thought of the present invention, all will change in specific embodiments and applications, in sum, this description should not be construed as limitation of the present invention.
Claims (12)
1. a hot ticket searching method, it is characterised in that, described method comprises:
Determine to be greater than the query word of the first predetermined threshold value apart from volumes of searches in current time preset time period;
Determine the search Trend index of described query word;
The query word that search Trend index is greater than the 2nd predetermined threshold value is defined as real-time hot word;
Determined real-time hot word is stored in hot word database;
When receiving the search phrase that user sends, based on described hot word database, Search Results is sorted;
Search Results after sequence is sent to user.
2. method according to claim 1, it is characterised in that, the described search Trend index determining described query word is tr:
Tr=�� wiratioi,
Wherein, described ratioiIt it is the ratio apart from volumes of searches under current time preset time period volumes of searches and different dimensions; wiFor the weighted value of different dimensions; Described different dimensions comprise following dimension degree at least one of them: apart from the preset time period dimension degree before current time preset time period, apart from two preset time period dimension degree before current time preset time period, distance the day before yesterday and current time same time point preset time period dimension degree, the last week distance and current time same time point preset time period dimension degree on the same day.
3. method according to claim 2, it is characterised in that, in the weighted value of described different dimensions, described the last week is on the same day apart from the weighted value that the weighted value with current time same time point preset time period dimension degree is maximum.
4. according to the method for claims 1 to 3 according to any one of it, it is characterised in that, described method also comprises: upgraded by the real-time hot word in hot word database in the following manner:
When real-time hot word enters hot word database for the first time, it is determined that the search Trend index of the real-time hot word that in 24 hours, searching times is maximum in one hour; When determined search Trend index is less than the 3rd predetermined threshold value ttr_lower, it is determined that described hot word is described in real time is not burst hot ticket, is removed by described real-time hot word from hot word database.
5. method according to claim 4, it is characterised in that, described method also comprises: upgraded by the real-time hot word in hot word database in the following manner:
The volumes of searches volumes of searches firstday of maximum hour and search Trend index tr got in real-time hot word in entering 24 hours of hot word database for the first timeold;
After real-time hot word enters hot word database, determined same hour of every day the search Trend index tr of described real-time word as followsnew:
Wherein impnewIt is the volumes of searches of renewable time, impoldVolumes of searches when being enter hot word database, decay is reduction coefficient;
As determined trnewWhen being less than the 3rd predetermined threshold value ttr_lower, described real-time hot word is removed from hot word database.
6. method according to claim 1, it is characterised in that, described based on described hot word database, Search Results is sorted, comprising:
Described search phrase is carried out participle, obtains query word;
Described query word is mated with the real-time hot word in current hot word database;
When the match is successful for the real-time hot word in described query word and current hot word database, increase Search Results after the weight of time dimension degree, Search Results is sorted.
7. a hot ticket search device, it is characterised in that, described device comprises: determination module, memory module, receiver module, order module and sending module; Wherein,
Described determination module, for determining to be greater than the query word of the first predetermined threshold value apart from volumes of searches in current time preset time period; Also for determining the search Trend index of described query word; Also it is defined as real-time hot word for determined search Trend index being greater than the query word of the 2nd predetermined threshold value;
Described memory module, for being stored in hot word database by determined real-time hot word;
Described receiver module, for receiving the search phrase that user sends;
Described order module, for sorting to Search Results based on described hot word database;
Described sending module, for being sent to user by the Search Results after sequence.
8. device according to claim 7, it is characterised in that, described determination module determines described query word search Trend index tr in the following manner:
Tr=�� wiratioi,
Wherein, described ratioiIt it is the ratio apart from volumes of searches under current time preset time period volumes of searches and different dimensions; wiFor the weighted value of different dimensions; Described different dimensions comprise following dimension degree at least one of them: apart from the preset time period dimension degree before current time preset time period, apart from two preset time period dimension degree before current time preset time period, distance the day before yesterday and current time same time point preset time period dimension degree, the last week distance and current time same time point preset time period dimension degree on the same day.
9. device according to claim 8, it is characterised in that, in the weighted value of described different dimensions, described the last week is on the same day apart from the weighted value that the weighted value with current time same time point preset time period dimension degree is maximum.
10. according to the device of claim 7 to 9 according to any one of it, it is characterised in that, described device also comprises: more new module, for being upgraded by the real-time hot word in hot word database;
Described more new module, comprising: really stator modules, judge submodule block and remove submodule block; Wherein,
Described true stator modules, for when real-time hot word enters hot word database for the first time, it is determined that the search Trend index of the real-time hot word that in 24 hours, searching times is maximum in one hour;
Described judgement submodule block, for judging whether determined search Trend index is less than the 3rd predetermined threshold value ttr_lower;
Described true stator modules, for when judging the judged result of submodule block as being, it is determined that described hot word is described in real time is not burst hot ticket;
Described remove submodule block, for being removed from hot word database by described real-time hot word.
11. devices according to claim 10, it is characterised in that, described true stator modules, also determines the volumes of searches volumes of searches firstday of maximum hour and search Trend index tr for entering for the first time at real-time hot word in 24 hours of hot word databaseold; Also for after entering hot word database at real-time hot word, determining same hour of every day the search Trend index tr of described real-time hot word as followsnew:
Wherein impnewIt is the volumes of searches of renewable time, impoldVolumes of searches when being enter hot word database, decay is reduction coefficient;
Described judgement submodule block, for judging determined trnewWhether it is less than the 3rd predetermined threshold value ttr_lower;
Described remove submodule block, for as determined trnewWhen being less than the 3rd predetermined threshold value ttr_lower, described real-time hot word is removed from hot word database.
12. devices according to claim 7, it is characterised in that, described order module comprises: participle submodule block, matched sub-block and sorting sub-module; Wherein,
Described participle submodule block, for described search phrase is carried out participle, obtains query word;
Described matched sub-block, for mating described query word with the real-time hot word in current hot word database;
Described sorting sub-module, when the match is successful for the real-time hot word in described query word and current hot word database, increases Search Results after the weight of time dimension degree, is sorted by Search Results.
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