CN101206647A - Method for expressing and searching commercial articles pop measurement using color - Google Patents
Method for expressing and searching commercial articles pop measurement using color Download PDFInfo
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- CN101206647A CN101206647A CNA2006101553375A CN200610155337A CN101206647A CN 101206647 A CN101206647 A CN 101206647A CN A2006101553375 A CNA2006101553375 A CN A2006101553375A CN 200610155337 A CN200610155337 A CN 200610155337A CN 101206647 A CN101206647 A CN 101206647A
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Abstract
The present invention relates to a method which is related to design a goods hot degree measurement system, uses colors, temperature and semantic instructions for display, and simultaneously gets relevant goods information from a shopping search engine according the goods color search and a hot degree and correlation degree sorting algorithm (HotRank sorting method). The method is realized through the computer Internet and software systems set on servers. The present invention is characterized in that: the hot degree of goods is measured as the sum of basic hot degree of congeneric goods, the action hot degree of goods operation and the keyword degree value of user search; color changes, temperature changes and semantic instructions are adopted to be transformed comparably for displaying hot degree changes; the complex information of hot degree measurement of goods is displayed in an intuitive mode, so as to ensure that browsers feel the hot degree information of goods intuitively.
Description
Technical field:
The present invention relates in the e-commerce field, utilize merchandise news and the popular degree methods of commodity of user behavior tolerance on the internet, and adopt color, temperature to show the popular degree of commodity, and carry out the method for commercial articles searching based on this.
Technical background:
Along with the fast development of B2C (B2C pattern) and C2C (consumer to consumer's electronic business mode) Online Store, shopping online in recent years, online commodity amount is the trend of rapid growth.People can see the information that commodity price, picture, performance, introduction etc. are abundant by the webpage of online merchants or other specialty shopping platforms.But the attribute that one of them people relatively pays close attention to: the popular degree of commodity, also only rest on the basis that the searching key word number of times measures, obviously, there is great limitation in this measure, and the technique of expression does not meet the requirement of hommization yet.
This limitation mainly show following some:
1, the popular degree of commodity is the notion of kind commodity rather than the notion of particular commodity.
2, the popular degree of commodity exists the static relatively popular degree tolerance and the popular degree tolerance of relative dynamic.When certain commodity enters system, it should have the popular degree tolerance of comparison unanimity with other similar commodity in the system, but simultaneously, popular degree is again a dynamic measurement process, user behavior should influence the tolerance of clicking commodity to be changed, and having influenced other does not simultaneously relatively have the tolerance of clicking commodity to change yet.Therefore, popular degree is a time point amount rather than storage.
3, adopt searching key word tolerance method can't or difficulty on show the popular degree of individual commodity, more can't make complete judgement to the popular degree trend of commodity.
4, because neither one is reasonably measured existence, the popular characteristic of commodity is difficult to performance, or the technique of expression is not directly perceived, user's indigestion.
5, can't or be difficult to itself search for dependent merchandise with popular characteristic.
In present stage, the good method of neither one can solve the tolerance and the performance problem of the popular degree of above-mentioned commodity.In existing shopping related web site, or do not provide the characteristic of commodity hot topic degree, or partly address these problems with the method for point for face.
Goal of the invention:
Purpose of the present invention be exactly to adopt a kind of reasonably, the tolerance system of science, the popular degree characteristic of commodity is showed in the mode that meets the cognitive custom of user, the user can be had with reference to reference function in selecting commodity.
Secondly, the notion that will adopt people such as color, temperature to be easy to accept exactly shows the complex information of the popular degree tolerance of commodity, to allow the viewer experience the popular degree information of commodity intuitively in mode intuitively.
A free-revving engine more of the present invention is by selecting color block, keyword search mode, make the viewer can recognize the commodity of different popular degree simply by search engine, and the popular trend of the same kind of goods in nearest one month or longer period, and other relevant information.
Technical scheme:
The popular kilsyth basalt of commodity shows:
Reasonably tolerance expression System Design is as follows:
The popular degree value=B+ ∑ of the same kind of goods
a+ W
Annotate: the basic popular degree of B=the same kind of goods
A=user behavior hot topic degree
The key word degree of W=user search
Wherein, the notion of commodity is divided into three taxonomic properties, i.e. " individual commodity ", " the same kind of goods ", " similar commodity ".
Zero " individual commodity " promptly are meant single independent commodity, refer to here in computer system, and be commodity with unique ID number;
Zero " the same kind of goods " promptly is meant the set of a plurality of " individual commodity " of the same race, is made up of a plurality of individual commodity;
Zero " similar commodity " promptly are meant to have the common key property of commodity, a lot of different types of commodity have been gathered, all belong to " playshoes " category as " lovers' money sports play shoes " and " all-round athletic event playshoes ", so similar commodity just are meant " playshoes ";
In addition, computer system will be according to the keyword of expression commodity key property in the trade name, and will to select this keyword be commodity center of gravity speech, and be judged as the taxonomic property of commodity by commodity center of gravity speech, in " lovers' money sports play shoes ", " playshoes " is commodity center of gravity speech, is to belong to " similar commodity " character.
The initial basic popular degree of the same kind of goods is be the basic quiescent value of commodity, so mainly consider the same kind of goods number and similar commodity number, the number of times that its numerical value can be linked from the commodity in the shop on the network obtains reflection, and this factor is from the popular degree of amount reflection the same kind of goods of commodity.So, we can be as follows the basic temperature formula of the same kind of goods:
The link number of basic popular degree=the same kind of goods quilt of the same kind of goods and the ratio of similar commodity number
The reach of user behavior hot topic degree has difference because of the character of user behavior, but the tolerance of popular degree is not limited to user's click behavior, also comprised user search key word and user search behind the commodity to operations such as commodity define, inquire, share.Operand as the commodity definition is the same kind of goods, and then its user behavior hot topic degree also is to have influence in all the same kind of goods, and the operand that defines as commodity is particular commodity (not the same kind of goods of these commodity), and it only influences the popular degree value of these commodity so.
According to description, we are as follows with its factor design:
1, commodity center of gravity speech is as the searched ratio of number of times in all searching times of computer system of keyword.This factor has reflected of the same race/similar commodity are by the aggregate level of user search.
2, the ratio of the average clicks of the same kind of goods and the average clicks of similar commodity.This factor reflection the same kind of goods user clicks the aggregate level in similar.
3, the clicked ratio of crossing commodity number and all commodity sums of the same race (comprising click and not clicked the same kind of goods) in the same kind of goods.This factor has reflected that user's click is with respect to the level relatively of the same kind of goods sum in the same kind of goods.
4, to behaviors such as the same kind of goods define, inquires, shares and the behavior similar of degree of generation value and the ratio of degree of generation value with this.
So, it is as follows that we can describe its formula:
The ratio of the average operation number of the commodity of this operand and the operation of this kind of existence in user behavior hot topic degree=these commodity.
According to us observation and analysis, draw the another one principle: after after commodity of the same race are through a series of operation and other each side's factors, producing the temperature value, when including another " individual commodity " in the same kind of goods again as system, its basic popular degree value should be the mean value of this same kind of goods hot topic degree value.We can be called " the basic popular degree value in back "
The popular measure of above-mentioned commodity has following advantage:
● individual commodity have the initial popular degree value of the same kind of goods.This meets the consistent understanding of people to popular degree.
● combine the popular degree influence that all operations produced to commodity.This can effectively be avoided is the limitation of popular degree tolerance with click only, more can reflect the popular degree of commodity.
● popular degree value has static characteristics, can be saved in database, thereby for performance, search, the trend analysis of popular degree provides solid foundation, simultaneously, popular degree value also has dynamic perfromance, can in time reflect popular degree change.
● popular degree value is not a linear growth, and this shows that when commodity were not operated, popular degree was progressively taken off, even and when having operation to exist, the variation of popular degree also has difference because of the operational circumstances of other commodity.This specific character all meets the popular degree intension of commodity.
The color of commodity hot topic degree, the temperature technique of expression:
Because the value scope of commodity hot topic degree can't be determined in the tolerance expression, simultaneously, adopts the expression of numerical value also can't allow the user experience the popular degree variation of these commodity intuitively.For this reason, we specially are convenient to people the change color of direct feel and temperature variation and are dissolved among popular degree changes.After adopting the technique of expression of color, temperature, the variation of hot topic degree just obtains impression intuitively, as the popular degree of computer system will being made up and show by white, blue or green, green, yellow, red color block progressive formation with by 0 ℃ to 100 ℃ temperature progressive formation.Change in color is the best performance of people's visual experience, and the temperature value understanding that also to be people daily is understood, these external manifestations the hot topic of commodity change.
Commodity hot topic degree value changes into color block, temperature changing process following (in our computer system, be that color is divided 4 blocks, temperature range is set in 0 ℃ to 100 ℃):
1, gets colors block as the temperature expressive force, arrive red 4 kind color blocks to green, green to yellow, yellow to blue or green, green grass or young crops as white, and adopt progressive formations, obtain a certain amount of color block as the performance piece at 4 blocks, as get 600 color block, be exactly 600 temperature performance pieces so.
2, obtain the maximal value of each similar commodity hot topic degree in the current commodity storehouse, as the maximum interval value of the temperature of dividing this same kind of goods.
3, similar commodity are divided into N equivalent interval 0 in peaked space, and will incorporate last interval into greater than the interval of the popular degree of current maximum.Like this [0, ∞) set up on the interval N equivalent interval.
4, color is corresponding one by one with the interval, thus realized the conversion and the correspondence of popular degree value.
5, a certain amount of color block is divided into 101 five equilibrium minizones by sequence number value, each minizone is corresponding one by one with 1 ℃, thereby realizes the conversion of color and temperature and corresponding.
The conversion method of commodity hot topic degree and color, temperature has following advantage:
● elusive popular degree value is converted into acceptant change color directly perceived and temperature variation, helps user experience.
● get a maximum popular degree value of commodity and repartition the popular degree variation that popular degree minizone can be reflected commodity in real time by certain intervals.
● after color conversion is popular degree interval, for the commodity of searching for specific popular degree by color provide the foundation.
● the scope of temperature is corresponded to freezing point, cold, temperature, heat, boiling point, the friendly more semantic understanding of people and user's impression can be provided.
The color search:
Popular kilsyth basalt show with popular degree interval with color one to one on the basis, can further realize searching for the commodity of corresponding popular degree and these commodity being carried out popular degree ordering, commodity classification analysis, popular degree trend analysis etc. by color.
The process of searching for by color is as follows:
1. similar commodity are converted to interval value by the corresponding relation in color and popular degree interval.
2. in the interval value scope, search out effective commodity.
3. these commodity are classified and show or other analytical applications.
The process of according to keywords searching for is as follows:
1, searching system is according to keywords searched for and is obtained Search Results, wherein has information such as relevance degree, commodity ID number
2, according to information such as popular degree value that obtains current commodity for commodity ID number and prices, according to popular degree: color: the corresponding relation of temperature, popular degree value is converted to temperature value, calculate the comprehensive degree of correlation of keyword as follows:
The original degree of correlation+the temperature value of the comprehensive degree of correlation=key word of key word * ratio
3, the information that embodies in the key word that the user submits to, analyze its key message that comprises and meet suitable search condition and carry out the Different Strategies ordering, as pressing comprehensive relevancy ranking strategy or popular degree ordering strategy or price ordering strategy or the compound ordering strategy of three.
4, ranking results is generated template by results page and generate the interface, show the user to browse.
For popular degree relevancy ranking (being " HotRank " sort method), this ordering tactful as follows:
1, popular degree ordering strategy: carry out the priority ordering according to popular degree, it will carry out ordering strategy targetedly to popular implication key words of embodiment such as " fashion ", " hot topic ", " popular ".
2, price ordering strategy: in the commodity of identical popular degree value, be that the key word of focus is sorted by price with the price as " the highest ", " minimum ", " costliness ", " cheaply " " worthwhile " etc. with what submit to according to the user.
3, comprehensive relevancy ranking strategy: if the key word that the user submits to not have demonstration to popular degree and special concern in price, promptly key word is neutral vocabulary, and system is comprehensive popular degree and price factor so, and sorts with the mean value size.
The process of the same kind of goods hot topic degree trend analysis is as follows:
1, in the particular commodity page, behind the click color item, system obtains current the same kind of goods hot topic degree average, is converted to temperature and saves as in the same kind of goods temperature history information table.
2, according to the same kind of goods item information of particular commodity, obtain the same kind of goods temperature history information, generate the same kind of goods hot topic degree trend map.
Method realizes that framework and system form:
The employed system of the inventive method is composed as follows: acquisition analysis system, information storage system, user interactive system, searching system, ordering system and results page generation system.These six systems are the software systems according to function setting, can be linked to each other by internet or in-house network by six station servers respectively.These servers can be the servers of various brands and configuration, as adopting the server of brands such as IBM, HP, association, Founder.Corresponding operating system can be multiple choices, as Windows, Linux, Solaris etc.The concrete function of each subsystem is as follows:
● acquisition analysis system: the commodity data that grasps the shop on the internet by system automatically, gather and when storing database into, system will analyze what of commodity in network links number of similar commodity automatically, obtaining the same kind of goods number, thereby obtain or increase the popular degree value (also being a kind of ranking method of popular degree value) of these commodity.
● information storage system: form by database, deposit merchandise news and other information.
● user interactive system: give the user with commodity displaying, the user clicks, defines, inquires, shares relevant merchandise news according to the needs of oneself.These behavioural informations are saved in the database.
● searching system: accept key word or color that search subscriber submits to simultaneously and select, and select to provide the core content of search result corresponding according to key word or color.
● ordering system: the various rules according to default sort to Search Results.
● the results page generation system: according to the webpage format template that sets in advance, the sequence integration with Search Results provides according to ordering system generates final results page.
Embodiment:
Below in conjunction with each subsystem, the embodiment of the present invention in each system is described.
The commodity acquisition system:
Commodity hot topic degree is by the numerical value of basic popular degree, user behavior hot topic degree and the user search key word degree value three sum of the same kind of goods.The basic popular degree of the same kind of goods is wherein finished in the commodity acquisition system.
Acquisition analysis system is by Http agreement or Webservice technology or other communications protocol are gathered or the merchandise news of reception businessman and commodity link, and merchandise news, commodity link, Business Information are saved in the database.Obtaining merchandise news and commodity link number and being saved in the process of database, form the basic popular degree value of the same kind of goods of these commodity simultaneously, this forming process is as follows:
At first, the grasping system mode of system's basis oneself obtains the merchandise news of businessman on the network, commodity link and other relevant informations, is stored in the computer system.
Secondly,, trade name is carried out participle, and analyze commodity center of gravity speech, thereby judge commodity classification character according to word bank systems such as the commodity in the computer system, brands.
Such as:
1. trade name is: " ADIDAS 35 anniversary version sports play shoes "
The commodity center of gravity speech of " ADIDAS 35 anniversary version sports play shoes " is " playshoes "
The sale Info Link number of businessman (being the commodity links) in " ADIDAS 35 anniversary version sports play shoes " these commodity in system's meeting phase-split network, and must this same kind of goods number.According to the division principle of commodity classification character, commodity " ADIDAS35 age in week angry version sports play shoes " will be included in " playshoes " similar commodity automatically.According to systematic analysis go out " playshoes " similar all commodity number of links, obtain the commodity number of this kind, thereby calculate the basic popular degree value of the same kind of goods according to the formula that designs " the link number of basic popular degree=the same kind of goods quilt of the same kind of goods and the ratio of similar commodity number ", be saved in the database.
2. trade name is: " N70 of Nokia "
The commodity center of gravity speech of " N70 of Nokia " is exactly " N70 of Nokia "
According to the division principle of commodity classification character, and " N70 of Nokia " will be included in " mobile phone " similar commodity automatically, and be calculated as the similar commodity number with " mobile phone " of commodity number of " N70 of Nokia " simultaneously.So, the basic popular degree value of " N70 of Nokia " the same kind of goods is saved in the database.
Information storage system:
Calculate good basic popular degree information and be saved in information storage system together with merchandise news.Information storage system is made up of a background data base.Database described here is a general reference notion, represents the relevant database of various forms, and is not limited to the database of certain specific format, can select business database such as DB2 for use, Oracle, SQL Server etc. also can select free database such as MySQL etc.
User interactive system:
The user is by interactive system, the operation that can be correlated with to the commodity that system showed, these operations comprise check merchandise news, to commodity carry out self-defined, submit some problems to, this merchandise news sent to user's operations such as friend at these commodity.In user's operating process, interactive system is calculated popular degree value synchronously, and calculates total popular degree value, is saved in the database.This computing formula is:
The ratio of the average operation number of the commodity of this operand and the operation of this kind of existence in user behavior hot topic degree=these commodity.
Searching system:
Searching system can respond the color searching request and the keyword search request of search subscriber, and system accepts key word or the laggard line retrieval of color.Wherein the color retrieval is a searching system based on database, and the mode of its realization can be a lot, and as the mode based on language such as JDBC or ODBC and JSP, ASP, or the software of other exploitations is realized.Keyword search is can be based on the searching system of database or other modes, as the full-text index system based on Lucene equally.
The color search is returned Search Results by the corresponding relation in color and commodity hot topic degree interval by commodity hot topic degree interval.Keyword search is found the commodity with correlativity by the key word that the user submits in trade name, relevance degree obtains the comprehensive degree of correlation after following formula is revised, and returns Search Results.
The original degree of correlation+the temperature value of the comprehensive degree of correlation=keyword of keyword * ratio
Ordering system:
For the keyword search result, system will carry out the pre-designed popular degree of correlation (HotRank) ordering, if have only one in the return results, then enter the detailed interface of this commodity color, this interface will show that the popular degree, user of these commodity are estimated, one month popular trend and upward price trend etc., otherwise can be according to the rule of prior setting as sorting by the degree of correlation, popular degree, price etc.
The results page generation system:
This system is an automatic webpage generator program, and it gets up search result content according to the webpage format template that sets in advance by the given sequence integration of ordering system, generate final results page.
If only there is one to return, the results page generation system enters the detailed interface of commodity color, and in this page, system forms relevant information such as upward price trend figure, popular degree trend map according to the historical price of these commodity, historical popular degree value.
Claims (6)
1. one kind about commodity hot topic degree tolerance system and utilize color, temperature to carry out concrete manifestation, and is attached to the method in the commodity purchasing search engine, and this method is by computer internet, utilizes to be arranged on the software systems on the server and to realize.It is characterized in that, commodity hot topic tolerance is the basic popular degree of the same kind of goods, the behavior hot topic degree of commodity operation and the key word degree value three sum of user search, and adopt change color, temperature variation to show popular degree variation; On this basis,, generate results page, give the viewer directly perceived, reasonable, complete impression on the popular characteristic of commodity according to search of the commodity color in the shopping search engine and popular degree relevancy ranking algorithm (" HotRank " sort method) algorithm.It comprises following main points:
1) commodity are divided into three taxonomic properties: " individual commodity ", " the same kind of goods ", " similar commodity ", adopt commodity center of gravity speech to form the automatic division polymerization of the same kind of goods, similar commodity when commodity are gathered.
2) the popular degree value=B+ ∑ of the same kind of goods
aThe key word degree value of the basic popular degree a=user behavior hot topic degree W=user search of+W B=the same kind of goods
3) the basic popular degree of the same kind of goods considered user in aggregate level factor that the same kind of goods clicked by the aggregate level factor of user search, the same kind of goods user, the same kind of goods click relative horizontal factor with respect to the same kind of goods sum, from the popular degree factor of the sale Info Link number similar commodity of reflection on network of the commodity of each businessman.
4) adopt the intensity of variation that performance commodity hot topic degree is described by color block and temperature range value.
5) commodity hot topic degree and color block, temperature value, semantic description will be realized by interval corresponding conversion method, and wherein commodity hot topic degree is interval exists one-to-one relationship with color block, and realizes equivalent the division with temperature value.
6) user's piece that gets colors is by the corresponding relation of color block with commodity hot topic degree interval, with the commodity collection of realizing in the search commercial articles hot topic degree interval, the color searching algorithm that carries out classification analysis or other analyses.
7) user entered keyword, in the keyword search result, commodity hot topic degree is converted to temperature value, set up new relevance degree in " the original degree of correlation+temperature value of the comprehensive degree of correlation=keyword of keyword * ratio " formula, sort according to popular degree relevancy ranking algorithm (" HotRank " sort method) algorithm policy, by the results page generation system, generate the algorithm of final user's browsing pages.
8) the same kind of goods hot topic degree average of specific time point is converted to temperature after, save as historical temperature information, be used for the method for the same kind of goods hot topic degree trend analysis.
2. according to the described method of claim 1, it is characterized in that, search engine is the general reference notion, be anyly can import key word, the mode of obtaining Search Results after the submission is carried out the computer network system of information searching, comprises comparative shopping search system, consumer to consumer's electronic retailing system (C2C), business to consumer's electronic retailing system (B2C).
3. in accordance with the method for claim 1, it is characterized in that, the scope of the merchandise news that search engine is selected is a B2C (B to C pattern, oneself set up special website as sales platform) and 2 kinds of business types of C2C (consumer to consumer's pattern, the platform that utilizes other websites to provide are sold the commodity of oneself).
4. according to the described method of claim 1, it is characterized in that the temperature transition that the temperature semantic description adopts freezing point, cold, temperature, heat, five linguistic context explanations of boiling point to show commodity hot topic degree changes.
5. according to the described method of claim 1, it is characterized in that the color block and the temperature range of performance temperature are can rationally adjust according to computer system user needs, promptly color block and temperature range are variate-values, do not fix.
6. according to the described method of claim 1, it is characterized in that " HotRank " sort method is to be based upon on the popular degree value basis of the same kind of goods, but usable range is not limited thereto, can be placed in the commercial articles searching engine; For " HotRank " sort method, the enforcement of this ordering then can be adopted any of following three kinds of sequencing schemes simultaneously:
A, popular degree ordering strategy: carry out the priority ordering according to popular degree, it will carry out ordering strategy targetedly to popular implication key words of embodiment such as " fashion ", " hot topic ", " popular ".
B, price ordering strategy: in the commodity of identical popular degree value, be that the key word of focus is sorted by price with the price as " the highest ", " minimum ", " costliness ", " cheaply " " worthwhile " etc. with what submit to according to the user.
C, comprehensive relevancy ranking strategy: if the key word that the user submits to not have demonstration to popular degree and special concern in price, promptly key word is neutral vocabulary, and system is comprehensive popular degree and price factor so, and sorts with the mean value size.
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