CN104102746A - Webpage data updating method and webpage data updating system - Google Patents

Webpage data updating method and webpage data updating system Download PDF

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CN104102746A
CN104102746A CN 201410380304 CN201410380304A CN104102746A CN 104102746 A CN104102746 A CN 104102746A CN 201410380304 CN201410380304 CN 201410380304 CN 201410380304 A CN201410380304 A CN 201410380304A CN 104102746 A CN104102746 A CN 104102746A
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lt
webpage
data
updating
updated
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CN 201410380304
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CN104102746B (en )
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吴鹏越
蔡新发
徐毅翔
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携程计算机技术(上海)有限公司
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    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor ; File system structures therefor
    • G06F17/30861Retrieval from the Internet, e.g. browsers
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/02Reservations, e.g. for tickets, services or events
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/12Hotels or restaurants

Abstract

The invention provides a webpage data updating method and a webpage data updating system. The method comprises the following steps that: Step 1, the probability value of each object in a plurality of objects of a webpage is calculated by utilizing a formula that G=q<b>*B+q<h>*H+q<s>*S, wherein B=C/U, the C is the data volume needing to be updated in the unit time of the webpage, and the U is the data volume capable of being updated in the unit time of the webpage; H=q<v>*(V<c>-V<b>)+q<o>*(O<c>-O<b>), wherein the V<c> is the page view of a target to be sold in the current object in the recent period of time, the O<c> is the order quantity of the target to be sold in the recent period of time, the V<b> is a page view baseline, and the O<b> is a order quantity baseline; and S=A<b>-A<c>, wherein the A<b> is the for-sale quantity of the target to be sold in the current object, and the A<c> is a for-sale baseline; and Step 2, the data of the objects in the webpage is sequentially updated in a sequence from large ones to small ones according to the probability values; the dynamic data of the objects in the webpage is more favorably updated; and the probability that users cannot successfully complete reservation is reduced.

Description

网页数据更新方法及系统 Method and system for updating data pages

技术领域 FIELD

[0001] 本发明涉及一种网页数据更新方法和网页数据更新系统。 [0001] The present invention relates to a method for updating data and web page data updating system.

背景技术 Background technique

[0002] 网页中包括的对象有很多,例如酒店、机票或旅游门票等,下面以酒店为例,网页中酒店的动态数据指房型、房价、房态和房量,酒店的动态数据每天都会有大量的变化。 [0002] Web page include objects are many, such as hotels, air tickets or travel tickets, hotel below to, for example, in the hotel's web page dynamic data refers to room types, rates, room availability and room rate, the hotel's dynamic data every day a lot of changes. 为了更新网页中酒店的动态数据,有些网络公司会登陆管理该些酒店动态数据的后台网页管理系统,以人工录入的方式更新网页中酒店的数据;有些公司会通过接口等技术手段自动更新网页中酒店的数据。 In order to update hotel pages dynamic data, some Internet companies will log in to manage the more background pages Management System Hotel dynamic data manually entered by way of updating the hotel's web page data; Some companies are automatically updated through the interface and other technical means pages data of the hotel.

[0003] 目前自动更新网页中酒店数据的方式有以下不足:有些网页对应的网络接口有流量和次数限制,当网络接口的流量超出限制量时网络接口停止传输数据,当网络接口传输数据的次数超出限制值时网络接口也停止传输数据,将导致网页中的酒店的数据无法实时更新。 [0003] Currently automatically update the page hotel the way data has the following shortcomings: some pages corresponding network interface has traffic and the number of restrictions, when the flow of the network interface exceeds limit the amount of network interface stop transmitting data, when the number of network interface to transfer data limit value is exceeded the network interface also stop transmitting data, will lead to the page of the hotel's data can not be updated in real time. 有些网页对应的网络接口虽然并无流量和次数限制,但是当数据传输量很大且并发传输时,数据传输速度很慢、会超时,同步酒店所有数据耗费时间很长,这同样将导致网页中的酒店数据无法实时地、准确地更新,甚至会出现这一情况:网页中显示某一酒店的标准间有房,但是实际上该酒店的标准间已经没房了,造成用户无法成功地完成预订;或者,网页中显示的价格和用户最终支付的价格不一样,这些都将降低用户的使用体验。 Some pages corresponding network interface although there is no traffic and the number of restrictions, but when a large amount of data transmission and multiplexing, data transmission speed is very slow, time out, time-consuming data synchronization All the hotel is very long, it will lead to the same web page the hotel real time data can not be accurately updated, there may even be the case: there is room to display pages in a standard hotel room, but in fact the standard rooms have no room, causing the user can not successfully complete the booking ; or, the price displayed web page and users will eventually pay the price not the same, which will degrade the user experience.

发明内容 SUMMARY

[0004] 本发明要解决的技术问题是为了克服现有技术中网页数据更新方式无法及时地、 准确地更新网页中各对象的数据的缺陷,提供一种更有利于网页中对象的动态数据的更新以及降低用户无法成功预订的概率的网页数据更新方法及系统。 [0004] The present invention to solve the technical problem is to overcome the disadvantages of the prior art web data update is not timely and accurately update the data page of each object, to provide a more conducive to dynamic data objects in a web page updates, and users can not reduce the probability of success of the book page data update method and system.

[0005] 本发明是通过下述技术方案来解决上述技术问题的: [0005] The present invention is to solve the above problems by the following technical solution:

[0006] 本发明提供一种网页数据更新方法,其特点在于,其包括以下步骤: [0006] The present invention provides a method for updating data page, characterized in that it comprises the following steps:

[0007] Si、利用公式G = qb*B+qh*H+qs*S计算一网页的多个对象中的每一对象的概率数值; [0007] Si, using the formula G = qb * B + qh * H + qs * S calculating the probability values ​​for each object in the plurality of objects of a web page;

[0008] 其中,G为概率数值,qb、qh和qs均为权重,且q b+qh+qs = 1 ; [0008] wherein, G is the probability value, qb, qh and qs are weights, and q b + qh + qs = 1;

[0009] B = C/U,C为该网页单位时间内需更新的数据量,U为该网页单位时间内可更新的数据量; [0009] B = C / U, C the amount of data per unit time that page update domestic demand, the amount of data that can be updated U-page unit time;

[0010] H = qv* (Ve_Vb) +q。 [0010] H = qv * (Ve_Vb) + q. * (0e_0b),qv 和q。 * (0e_0b), qv and q. 均为权重,且qv+q。 Both weight and qv + q. = 1,V。 = 1, V. 为最近一时间段内对当前对象中的待售目标的浏览量,0。 Recently a period of time for the views of the current target object for sale, 0. 为最近该时间段内对该待售目标的订单量,vb为浏览量基线,〇b为订单量基线; The orders for the most recent period the target for sale, vb as the baseline views, 〇b orders for the baseline;

[0011] S = Ab-A。 [0011] S = Ab-A. , Ab为当前对象中待售目标的待售量,A。 , Ab amount for sale for sale in the current object target, A. 为待售量基线; The amount for sale baseline;

[0012] S2、按照概率数值由大至小的顺序依次更新该网页中的对象的数据。 [0012] S2, the data value is updated according to the probability of the object from the web page of the order of large to small.

[0013] 在本方案中,在计算出该网页中各对象的概率数值后,按照概率数值由大至小的顺序先更新概率数值大的对象的动态数据,再更新概率数值小的对象的动态数据,也就是说,这种数据更新方式是先更新网页中用户关注度高的对象的数据,再更新网页中用户关注度低的对象的数据,更有利于网页中各对象的动态数据的更新以及降低用户无法成功预订的概率。 [0013] In the present embodiment, in the calculation of the probability of the value of the page of each object, according to the probability values ​​from large to small in order to update the probability of a large value of the dynamic data object, then updates the small probability value object data, that is to say, such a data update method is to update the data page of the user object of interest is high, and then update the data pages of low user awareness of objects, more conducive to update pages dynamic data of each object and reduce the probability of a user can not successfully subscribed.

[0014] 较佳地,q。 [0014] Preferably, q. > qv,由于订单量比浏览量更为重要,所以订单量对应的权重值大于浏览量对应的权重值即q。 > Qv, since the order is more important than the views, the right orders larger than a weight corresponding to the weight value, i.e., views corresponding to q. > qv。 > Qv.

[0015] 本发明还提供一种网页数据更新系统,其特点在于,其包括一计算模块和一更新模块; [0015] The present invention also provides a web page data updating system, characterized in that it comprises a calculation module and an updating module;

[0016] 该计算模块用于利用公式G = qb*B+qh*H+qs*S计算一网页的多个对象中的每一对象的概率数值; [0016] The means for calculating using the formula G = qb * B + qh * H + qs * S calculating the probability values ​​for each object in the plurality of objects of a web page;

[0017] 其中,G为概率数值,qb、qh和qs均为权重,且q b+qh+qs = 1 ; [0017] wherein, G is the probability value, qb, qh and qs are weights, and q b + qh + qs = 1;

[0018] B = C/U,C为该网页单位时间内需更新的数据量,U为该网页单位时间内可更新的数据量; [0018] B = C / U, C the amount of data per unit time that page update domestic demand, the amount of data that can be updated U-page unit time;

[0019] H = qv* (Ve_Vb) +q。 [0019] H = qv * (Ve_Vb) + q. * (0e_0b),qv 和q。 * (0e_0b), qv and q. 均为权重,且qv+q。 Both weight and qv + q. = 1,V。 = 1, V. 为最近一时间段内对当前对象中的待售目标的浏览量,〇。 Recently a period of time for the views of the current target object for sale, square. 为最近该时间段内对该待售目标的订单量,Vb为浏览量基线,〇b为订单量基线; The orders for the most recent period the target for sale, Vb views as baseline, 〇b orders for the baseline;

[0020] S = Ab_A。 [0020] S = Ab_A. , Ab为当前对象中待售目标的待售量,A。 , Ab amount for sale for sale in the current object target, A. 为待售量基线; The amount for sale baseline;

[0021] 该更新模块用于按照概率数值由大至小的顺序依次更新该网页中的对象的数据。 [0021] The update module according to the probability value for that page is sequentially updated data objects from large to small order.

[0022] 较佳地,q。 [0022] Preferably, q. > qv。 > Qv.

[0023] 在符合本领域常识的基础上,上述各优选条件,可任意组合,即得本发明各较佳实例。 [0023] On the basis of compliance with the general knowledge in the art, the above-described preferred conditions, can be any combination, i.e., to obtain various preferred examples of the present invention.

[0024] 本发明的积极进步效果在于: [0024] The positive effect of the present invention is characterized in progress:

[0025] 本发明提供一种网页数据更新方法及系统,先计算一网页的多个对象中的每一对象的概率数值,再根据计算出的概率数值由大至小的顺序依次更新该网页中的对象的数据,更有利于网页中各对象的动态数据的更新,降低用户无法成功预订的概率,提升用户的使用体验。 [0025] The present invention provides a method and system for updating the page data, to calculate the probability value of each object in the plurality of objects in a page, and then based on the calculated probability values ​​from large to small in the order of the updated page data objects, more conducive to update each page in dynamic data object, the user can not reduce the probability of a successful reservation, enhance the user experience.

附图说明 BRIEF DESCRIPTION

[0026] 图1为本发明较佳实施例的网页数据更新方法的流程图。 [0026] FIG. 1 is a flowchart of page data updating method of the preferred embodiment of the invention.

[0027] 图2为本发明较佳实施例的网页数据更新系统的结构框图。 [0027] Figure 2 a block diagram showing the structure of the page data updating system of the preferred embodiment of the present invention.

具体实施方式 detailed description

[0028] 下面通过实施例的方式进一步说明本发明,但并不因此将本发明限制在所述的实施例范围之中。 [0028] The present invention is further described below by way of example, but not to limit the invention thus described embodiments within the scope of embodiments.

[0029] 参考图1所示,本实施例提供了一种网页数据更新方法,其包括以下步骤: As shown in FIG. 1 with reference to [0029], the present embodiment provides a method for updating the page data, comprising the steps of:

[0030] 步骤101、利用公式G = qb*B+qh*H+qs*S计算一网页的多个对象中的每一对象的概率数值; [0030] Step 101, using the formula G = qb * B + qh * H + qs * S calculating the probability values ​​for each object in the plurality of objects of a web page;

[0031] 其中,G为概率数值,qb、qh和qs均为权重,且q b+qh+qs = 1 ; [0031] wherein, G is the probability value, qb, qh and qs are weights, and q b + qh + qs = 1;

[0032] B = C/U,C为该网页单位时间内需更新的数据量,U为该网页单位时间内可更新的数据量; [0032] B = C / U, C the amount of data per unit time that page update domestic demand, the amount of data that can be updated U-page unit time;

[0033] Η = qv* (V「Vb) +q。* (0「0b),qv 和q。均为权重,q。> qv 且qv+q。= 1,V。为最近一时间段内对当前对象中的待售目标的浏览量,〇。为最近该时间段内对该待售目标的订单量,Vb 为浏览量基线,〇b为订单量基线; [0033] Η = qv * (V "Vb) + q. * (0" 0b), qv and q. Are weights, q.> Qv and qv + q. = 1, V. A period of time for the most recent views on the current target object for sale, as recent orders of the square to the target time period for sale, Vb views as baseline, 〇b orders for the baseline.;

[0034] S = Ab_A。 [0034] S = Ab_A. , Ab为当前对象中待售目标的待售量,A。 , Ab amount for sale for sale in the current object target, A. 为待售量基线; The amount for sale baseline;

[0035] 步骤102、按照概率数值由大至小的顺序依次更新该网页中的对象的数据。 [0035] Step 102, the data value is updated according to the probability of the object from the web page of the order of large to small.

[0036] 如图2所示,本实施例还提供一种网页数据更新系统,其包括一计算模块1和一更新模块2。 [0036] 2, the present embodiment also provides a web page data updating system, comprising a computing module and an updating module 1 2.

[0037] 该计算模块1用于利用公式G = qb*B+qh*H+qs*S计算一网页的多个对象中的每一对象的概率数值; [0037] The computing module using equation 1 for G = qb * + qh * H + a probability value of each object qs * S calculated plurality of objects in a page B;

[0038] 其中,G为概率数值,qb、qh和qs均为权重,且q b+qh+qs = 1 ; [0038] wherein, G is the probability value, qb, qh and qs are weights, and q b + qh + qs = 1;

[0039] B = C/U,C为该网页单位时间内需更新的数据量,U为该网页单位时间内可更新的数据量; [0039] B = C / U, C the amount of data per unit time that page update domestic demand, the amount of data that can be updated U-page unit time;

[0040] H = qv* (V「Vb) +q。* (0e_0b) , qv 和q。均为权重,q。> qv 且qv+q。= 1, V。为最近一时间段内对当前对象中的待售目标的浏览量,〇。为最近该时间段内对该待售目标的订单量,Vb 为浏览量基线,〇b为订单量基线; [0040] H = qv * (V "Vb) + q. * (0e_0b), qv and q. Are weights, q.> Qv and qv + q. = 1, V. is the most recent time period of the current the views of the target object for sale, as recent orders of the square to the target time period for sale, Vb views as baseline, 〇b orders for the baseline.;

[0041] S = Ab_A。 [0041] S = Ab_A. , Ab为当前对象中待售目标的待售量,A。 , Ab amount for sale for sale in the current object target, A. 为待售量基线; The amount for sale baseline;

[0042] 该更新模块2用于按照概率数值由大至小的顺序依次更新该网页中的对象的数据。 [0042] The updating module 2 according to the probability value for that page is sequentially updated data objects from large to small order.

[0043] 基于上述的网页数据更新方法和网页数据更新系统,下面通过一个具体的例子如酒店网页数据更新流程来进一步说明本发明,本领域的技术人员应当理解,虽然下面的实施例以对酒店网页中的数据更新来进行说明网页数据更新方法及系统,但本发明并不局限于只能应用于对酒店网页中的数据进行更新,本发明可应用于对各种网页中数据进行更新。 [0043] Based on the above page data updating method and web page data updating system, below with a specific example as hotel Web page data update process to further illustrate the present invention, those skilled in the art will appreciate that although the following embodiments are presented to the hotel updating the page data in the page will be described data updating method and system, but the present invention is not limited to only be applied to the updating of the hotel web page, the present invention can be applied to various data page is updated.

[0044] 假设携程网站的一酒店网页单位时间(如1秒)内需更新的数据量为10个,该酒店网页对应的网络接口单位时间内可更新的数据量为20个,即B = C/U = 10/20 = 1/2。 The amount of data [0044] a hotel page unit time assuming ctrip site (e.g., one second) domestic updated to 10, the amount of data can be updated within the network interface unit time, the property page corresponding to 20, i.e., B = C / U = 10/20 = 1/2.

[0045] 该酒店网页中有10家酒店,假设qv = 〇. 2, q。 [0045] The property page 10 hotels, assuming qv = square. 2, q. = 0. 8,本领域技术人员根据经验设置浏览量基线和订单量基线,且设置浏览量基线为30和订单量基线为20,然后统计最近24小时内用户对第1家酒店中可售房型(例如单人间、双人间、三人间、豪华套间等)的浏览量,则统计出对第1家酒店中可售房型的浏览量为1〇〇次,其后依次统计用户对第2-10 家的酒店中可售房型的浏览量,则统计出对第2-10家酒店中可售房型的浏览量依次为50、 40、150、70、45、130、160、200 和80 次。 = 0.8, according to the person skilled in the baseline views and experience to set the baseline orders, views and set a baseline to baseline 30 orders and 20, then the user statistics of the first hotels in the available houses within the last 24 hours type (such as single, double, triple rooms, deluxe suites, etc.) views, the statistics 1〇〇 times of the first hotels in the available houses for the type of page views, followed by a second user statistics -10 family hotel in house sales type of page views, the statistics on 2-10 hotels in the type of views available houses were 50, and 40,150,70,45,130,160,200 80 times.

[0046] 其后统计最近24小时内用户对第1家酒店中可售房型的订单量,则统计出对第1 家酒店中可售房型的订单量为80次,其后依次统计用户对第2-10家的酒店中可售房型的订单量,则统计出对第2-10家酒店中可售房型的浏览量依次为30、28、100、50、30、120、90、 160和60次。 [0046] After that statistics in the last 24 hours of the first user in a hotel-type orders available houses, the statistics of the first hotels in the type of houses can be orders of 80 times, followed by users of statistics for 2-10 family hotel in orders can type houses, the statistics on 2-10 hotels in the type of available houses were 30,28,100,50,30,120,90 views , 60 and 160 times.

[0047] 然后计算第1家酒店的数据热度氏=0. 2 (100-30) +0. 8 (80-20) = 62,第2 家酒店的数据热度H2 = 0.2(50-30)+0.8(30-20) = 12,第3家酒店的数据热度H3 = 0· 2 (40-30) +0· 8 (28-20) = 3. 6,第4 家酒店的数据热度H4 = 0· 2 (150-30) +0· 8 (100-20)= 88,第5家酒店的数据热度H5 = 0. 2 (70-30) +0. 8 (50-20) = 32,第6家酒店的数据热度H6 =0· 2 (45-30) +0· 8 (30-20) = 11,第7 家酒店的数据热度H7 = 0· 2 (130-30) +0· 8 (120-20) =100,第8家酒店的数据热度H8 = 0. 2(160-30)+0. 8(90-20) = 82,第9家酒店的数据热度H9 = 0. 2 (200-30) +0. 8 (160-20) = 146,第10家酒店的数据热度H1Q = 0.2(80-30)+0.8(60-20) = 42。 [0047] Calculation and a data heat hotel's = 0.2 (100-30) +0. 8 (80-20) = 62, the second data heat hotel H2 = 0.2 (50-30) + 0.8 (30-20) = 12, the third data heat hotel H3 = 0 · 2 (40-30) + 0 · 8 (28-20) = 3. 6, the fourth data heat hotel H4 = 0 · 2 (150-30) + 0.8 (100-20) = 88, the fifth data heat hotel H5 = 0. 2 (70-30) +0. 8 (50-20) = 32, 6 hotel data heat H6 = 0 · 2 (45-30) + 0 · 8 (30-20) = 11, 7 hotel data heat H7 = 0 · 2 (130-30) + 0 · 8 (120 -20) = 100, 8 hotel data heat H8 = 0. 2 (160-30) +0. 8 (90-20) = 82, 9, hotel data heat H9 = 0. 2 (200- 30) +0. 8 (160-20) = 146, 10 hotel data heat H1Q = 0.2 (80-30) +0.8 (60-20) = 42.

[0048] 然后统计第1家酒店的当前可售房型的可订房量,例如单人间未售出的间数,双人间未售出的间数,即统计第1家酒店还未售出的房间数为60,第2家酒店的当前可售房型的可订房量为40,第3家酒店的当前可售房型的可订房量为50,第4家酒店的当前可售房型的可订房量为130,第5家酒店的当前可售房型的可订房量为70,第6家酒店的当前可售房型的可订房量为50,第7家酒店的当前可售房型的可订房量为150,第8酒店的当前可售房型的可订房量为130,第9家酒店的当前可售房型的可订房量为180,第10家酒店的当前可售房型的可订房量为70,本领域技术人员根据经验设置可订房量基线为30,所以由公式S = Ab-A。 [0048] Statistical then a hotel-type houses currently booking amount can be, for example, the number of unsold single room, double the number of unsold, namely statistics on a hotel yet sold number of rooms is 60, currently houses can type the first two hotel booking amount is 40, currently houses can type the first three hotel booking amount is 50, currently houses the fourth type of hotel Reservations may amount to 130, currently houses can type the first five hotel booking amount is 70, 6 currently houses the hotel's booking type can amount to 50, the first of seven hotels currently houses type Loading may be an amount of 150, the current type may be available houses 8 hotel reservation amount is 130, the current type may be available houses 9 hotel reservation amount is 180, 10 hotels currently available houses type Loading may be an amount of 70, one skilled in the art can empirically Loading amount provided baseline 30, so by the formula S = Ab-a. 计算这10家的数据稀缺度,分别为Si = 60-30 = 30, S2 = 40-30 = 10, S3 = 50-30 = 20, S4 = 130-30 = 100, S5 = 70-30 = 40, S6 = 50-30 = 20, S7 = 150-30 = 120, S8 = 130-30 = 100, S9 = 180-30 = 150, S1(l = 70-30 = 40。 This calculation of the degree of scarcity of data 10, respectively Si = 60-30 = 30, S2 = 40-30 = 10, S3 = 50-30 = 20, S4 = 130-30 = 100, S5 = 70-30 = 40 , S6 = 50-30 = 20, S7 = 150-30 = 120, S8 = 130-30 = 100, S9 = 180-30 = 150, S1 (l = 70-30 = 40.

[0049] 然后利用公式G = qb*B+qh*H+qs*S计算该酒店网页中这10家酒店的概率数值, 设定qb 为〇. 1,qh 为〇. 6, qs 为0. 3,第1 家酒店的概率数值Gi = 0. 1*0. 5+0. 6*62+0. 3*30 =46. 25, G2 = 0. 1*0. 5+0. 6*12+0. 3*10 = 10. 25, G3 = 0. 1*0. 5+0. 6*3. 6+0. 3*20 = 8. 21,G4 = 0. 1*0. 5+0. 6*88+0. 3*100 = 82. 85, G5 = 0. 1*0. 5+0. 6*32+0. 3*40 = 31. 25, G6 = 0. 1*0. 5+0. 6*11+0. 3*20 = 12. 65, G7 = 0. 1*0. 5+0. 6*100+0. 3*120 = 96. 05, G8 = 0. 1*0. 5+0. 6*82+0. 3*100 = 79. 25, G9 = 0. 1*0. 5+0. 6*146+0. 3*150 = 132. 25, G1(l = 0. 1*0. 5+0. 6*42+0. 3*40 = 37. 25。 [0049] Then using the equation G = qb * B + qh * H + qs * S to calculate the probability value of the property page 10 this property is set to qb billion. 1, qh is square. 6, qs 0. 3, the first probability value hotels Gi = 0. 1 * 0. 5 + 0. 6 * 62 + 0. 3 * 30 = 46. 25, G2 = 0. 1 * 0. 5 + 0. 6 * 12 +0. 3 * 10 = 10. 25, G3 = 0. 1 * 0. 5 + 0. 6 * 3. 6 + 0. 3 * 20 = 8. 21, G4 = 0. 1 * 0. 5 + 0 . 6 * 88 + 0. 3 * 100 = 82. 85, G5 = 0. 1 * 0. 5 + 0. 6 * 32 + 0. 3 * 40 = 31. 25, G6 = 0. 1 * 0. 5 +0. 6 * 11 + 0. 3 * 20 = 12. 65, G7 = 0. 1 * 0. 5 + 0. 6 * 100 + 0. 3 * 120 = 96. 05, G8 = 0. 1 * 0 . 5 + 0. 6 * 82 + 0. 3 * 100 = 79. 25, G9 = 0. 1 * 0. 5 + 0. 6 * 146 + 0. 3 * 150 = 132. 25, G1 (l = 0 1 * 0.5 + 0.6 * 42 + 0.3 * 40 = 37.25.

[0050] 按照概率数值Gi-Gi。 [0050] according to the probability value Gi-Gi. 由大至小的顺序(GyGpGpGpGpG^GpGpGyh)依次更新该酒店网页中的这10家酒店的数据,即依次更新该酒店网页中第9家酒店的数据、第7家酒店的数据、第4家酒店的数据、第8家酒店的数据、第1家酒店的数据、第10家酒店的数据、第5家酒店的数据、第6家酒店的数据、第2家酒店的数据以及第3家酒店的数据。 Update from large to small order (GyGpGpGpGpG ^ GpGpGyh) successively the property page in the 10 hotel data, which in turn updates the property page 9 hotel data, the seventh hotel data, 4 hotels data, 8 hotels data, the first hotel data, 10 hotels data, the fifth hotel data, the sixth hotel data, the second hotel data, and the third hotel data. 而且,从上述可以看出,本发明先更新该酒店网页中用户关注度高的酒店的数据,再更新该酒店网页中用户关注度低的酒店的数据,这种网页中数据更新的方式更有利于网页中各对象的动态数据的更新。 Further, it can be seen from the above, the present invention is to update the user's hotel property page high data concerned, and then update the property page hotel low degree of user interest in the data, the data in this way is more updated pages conducive to update each page in dynamic data object.

[0051] 综上所述,本发明先更新网页中用户关注度高的对象的数据,再更新网页中用户关注度低的对象的数据,更有利于网页中各对象的动态数据的更新以及降低用户无法成功预订的概率。 [0051] In summary, the present invention is to update the data page of the user object of interest is high, then the update data pages in a low degree of user interest in the object, the update page is more conducive to dynamic data of each object and to reduce users can not book the probability of success.

[0052] 本发明中的各个功能模块均能够在现有的硬件条件下结合现有的软件编程手段加以实现,故在此对其具体实现方法均不做赘述。 [0052] in the present invention are capable of binding various functional modules in the existing hardware conditions existing software programming tools to be implemented, so in this particular implementation thereof do not repeated.

[0053] 虽然以上描述了本发明的具体实施方式,但是本领域的技术人员应当理解,这些仅是举例说明,本发明的保护范围是由所附权利要求书限定的。 [0053] While the above described specific embodiment of the present invention, those skilled in the art will appreciate that these are merely illustrative, the scope of the present invention is defined by the appended claims. 本领域的技术人员在不背离本发明的原理和实质的前提下,可以对这些实施方式做出多种变更或修改,但这些变更和修改均落入本发明的保护范围。 Those skilled in the art without departing from the principles and spirit of the present invention is the premise that various changes or modifications may be made to these embodiments, but variations and modifications fall within the scope of the present invention.

Claims (4)

  1. 1. 一种网页数据更新方法,其特征在于,其包括以下步骤: 51、 利用公式G = qb*B+qh*H+qs*S计算一网页的多个对象中的每一对象的概率数值; 其中,G为概率数值,qb、qh和qs均为权重,且qb+q h+qs = 1 ; B = C/U,C为该网页单位时间内需更新的数据量,U为该网页单位时间内可更新的数据量; H = qv* %-Vb) +q。 CLAIMS 1. A method for updating data page, characterized in that it comprises the steps of: 51, using the formula G = qb * B + qh * H + qs * S to calculate the probability of each object in the plurality of objects in a page value ; wherein, G is the probability value, qb, qh and qs are weights, and qb + q h + qs = 1; B = C / U, C for the data amount per unit time domestic page update, U, that page units the amount of data can be updated within the time; H = qv *% -Vb) + q. * (0。_(\),qv和q。均为权重,且qv+q。= 1,V。为最近一时间段内对当前对象中的待售目标的浏览量,〇。为最近该时间段内对该待售目标的订单量,Vb为浏览量基线,〇b为订单量基线; S = Ab-A。, Ab为当前对象中待售目标的待售量,A。为待售量基线; 52、 按照概率数值由大至小的顺序依次更新该网页中的对象的数据。 * (0 ._ (\), qv and Q. Are weights, and qv + q. = 1, V. A period of time for the most recent views of the current target object for sale, square. This was recently orders the target period for sale, Vb as the baseline views, 〇b orders to baseline; S = Ab-a, Ab of unsold target current object for sale, a is for sale. baselines; 52, according to the probability value of the data page is sequentially updated by an object in the order of small to large.
  2. 2. 如权利要求1所述的网页数据更新方法,其特征在于,q。 The method of updating the web page data as claimed in claim 1, wherein, q. > qv。 > Qv.
  3. 3. -种网页数据更新系统,其特征在于,其包括一计算模块和一更新模块; 该计算模块用于利用公式G = qb*B+qh*H+qs*S计算一网页的多个对象中的每一对象的概率数值; 其中,G为概率数值,qb、qh和qs均为权重,且qb+q h+qs = 1 ; B = C/U,C为该网页单位时间内需更新的数据量,U为该网页单位时间内可更新的数据量; H = qv* %-Vb) +q。 3 - Species webpage data updating system, characterized in that it comprises a calculation module and an updating module; means for calculating the plurality of objects using the formula G = qb * B + qh * H + qs * S calculate a page the probability of each target value; wherein, G is the probability value, qb, qh and qs are weights, and qb + q h + qs = 1; B = C / U, C is updated to the page unit time domestic demand data amount, the amount of data that can be updated U-page unit time; H = qv *% -Vb) + q. * (0。_(\),qv和q。均为权重,且qv+q。= 1,V。为最近一时间段内对当前对象中的待售目标的浏览量,〇。为最近该时间段内对该待售目标的订单量,Vb为浏览量基线,〇b为订单量基线; S = Ab-A。, Ab为当前对象中待售目标的待售量,A。为待售量基线; 该更新模块用于按照概率数值由大至小的顺序依次更新该网页中的对象的数据。 * (0 ._ (\), qv and Q. Are weights, and qv + q. = 1, V. A period of time for the most recent views of the current target object for sale, square. This was recently orders the target period for sale, Vb as the baseline views, 〇b orders to baseline; S = Ab-a, Ab of unsold target current object for sale, a is for sale. baselines; according to the means for updating probability values ​​from large to small in the order of the update data page object.
  4. 4. 如权利要求3所述的网页数据更新系统,其特征在于,q。 Web page data updating system as claimed in claim 3, characterized in that, q. > qv。 > Qv.
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