关键词广告

这部分API是以电子商务的关键词广告为应用背景，大数据量的分析数据接口。

This part of the API is based on the keyword advertising of e-commerce .

在此基础上，详细分析了基于开放背景下的电子商务网站关键词广告平台的数据分析API的必要性以及需求。

On which basis , the necessity and demand of e-commerce site based on the open context of keyword advertising platform data analysis API was analyzed in detail .

随着淘宝的关键词广告平台的功能越来越复杂，广告主业务的变化和数量的增加，由第三方服务公司提供广告主SEM（搜索引擎营销）解决方案的业务模式应运而生。

With the Taobao keyword advertising platform more and more complicated , business changes and the increasing number of advertisers , SEM ( search engine marketing ) business model solutions provided by third-party service companies came into being .

在盈利模式上，Google拥有备受称道的关键词广告，其搜索结果保持公正、客观；而百度则总结出竞价排名模式，为百度带来了大量的忠实客户和可观的利润。

Regarding the profit pattern , Google has the widely praised " keyword advertising " and maintains its search result fair and objective ; while baidu developed the pattern of " sponsored search ", which has brought lots of loyal credits and profits .

而“关键词广告”（AdWords）和“内容广告”（Adsense）虽然对消费者来说不那么直观，却同样是对业界影响深远的创新之作。

AdWords and Adsense were also innovations that , while less visible to consumers , had a significant impact .

关键词广告可以帮助企业借助于搜索引擎的功能和作用，寻找潜在客户，推广和销售企业的产品，为企业带来利润。

By means of search engines , keyword advertisement helps enterprises to find potential customers , promote and sale their products , and gain profits eventually .

通过对关键词广告营销的微观经济分析，明确了企业关键词广告营销的成本与利润，为企业的宏观经济决策提供了重要的参考依据。

Through a micro-economical analysis on keyword advertisement marketing , we indentify the cost and revenue measurement of keyword advertisement and provide an important foundation for enterprise macro-economical policies .

通过分离业务层、应用层、服务层、数据层，达到建立起架构合理的关键词广告内部数据平台的目标。

By separating the business layer , application layer , service layer , data layer , the goal of establishing a reasonable structure of data platform of the keyword advertising was achieve .

即便是作为增长迅速的互联网广告业的一部分，视频广告所占的份额也非常小，绝大部分钱花到了关键词广告上。去年，美国网络广告业的产值达到了125亿美元。

Even as a share of the rapidly growing internet advertising sector , which reached $ 12.5bn last year in the US , video commercials are tiny , with most spending going on search - word advertisements .

要经常追踪你的广告，要坚持不懈地测试不同关键词和广告内容。通过对不同版本内容的比较来改进和提高你的潜在客户的转化比例，进而降低你的客户取得成本。

This will improve your overall conversion ratio and lower your average customer acquisition cost .

也正是由于这个原因，包含关键词的广告往往会比那些不包含关键词的广告效果要好的多。

For this reason , ads with searched keywords usually perform better than ones without .

正确的目标市场定位由关键词、广告文本、及语言和国家选择等方面的设置来完成的。

Effective targeting is accomplished through keywords , ad text , and language and country targeting settings .

客户可以通过设定最高每次点击费用和优化关键词对广告进行控制，真正实现您的广告您做主。

Customers can set a maximum cost-per-click advertising keywords and optimizing control , truly your ad you call the shots .

针对您的任一关键词、广告项目、广告组及帐户均有一个报告。

This reporting is available for each of your keywords , ads , Ad Groups , campaigns , and account .

您可能会发现，某些关键词或广告组实际上在较低的搜索结果页面位置时，反而有更好的表现。

You may find certain keywords or ad groups actually perform better when you bid into a position that is lower on the page .

本文使用基于语言模式挖掘的抽取模型，这种模型能保证种子关键词与广告具有很高的相关性。

We apply an extraction model based on language pattern mining . This model can guarantee that the seed keywords have a very high relevance with advertisement .

这一阶段的主要目标是依据种子关键词设计广告关键词扩展模型，以扩展出大量的与种子关键词相关的候选竞价关键词集合。

The main task of this stage is to design the model of advertising keyword expansion and generate plenty of candidate bidding keywords which are related to seed keywords .

同时，拍卖机制的设计，特别是近几年来兴起的基于关键词的网络广告位拍卖，也越来越受到学术界的重视。

At the same time , the auction design gets more and more attention from the academia , especially the keyword auction .

目前广告主的一个普遍需求是自动获得大量跟广告相关的且能够带来最大收益的竟价关键词以提高广告的展示机会和转化几率。

At present , a common demand for advertiser is to obtain plenty of keywords automatically which are related to a specific advertisement and can bring more economic benefits .

搜索竞价广告关键词优化对于广告能否准确的被用户定位并获得更大的展示机会有着至关重要的作用。

Whether the ads can be discovered accurately by users who are interested in them and obtain more chances to exhibit to users depends on the keyword optimization for search engine advertising .

首先验证了基于语言模式挖掘的关键词抽取算法在广告关键词抽取中优于传统的关键词抽取算法。

Firstly , we verify that the keyword extraction model based on language pattern mining is better than traditional keyword extraction model .

最后将搜索竞价广告优化方法与主流广告关键词推荐工具进行了比较实验，实验结果显示，本文的搜索竞价广告优化方法生成的竞价关键词优于主流广告关键词推荐工具的生成的关键词。

Finally , we implement an experiment to compare the search engine advertising keyword optimization method with leading advertising keyword suggestion tools . The result shows that our keyword optimization method is better than leading advertising keyword suggestion tools .