一个现实生活中基于网络的营销优化框架与外部数据

Sadi Evren Seker
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引用次数: 0

摘要

近年来,随着数据收集和处理速度的提高,大数据和数据科学研究呈指数级增长。作为一个不可避免的结果,大多数网络公司正在将他们的商业模式迁移到基于大数据和数据科学研究的新技术上。本文是基于一个真实的生活经验,基于一个网络商店与最高的销量在土耳其。该项目是建立一个基于大数据技术的数据科学模型,根据外部数据进行估计,如天气状况、客户人口统计、报纸新闻、当前产品替代品、金融事实(如货币汇率或股票市场价值),最重要的是社交网络、博客和新闻的情感分析和意见挖掘。在本文中,详细的问题和可能的解决方案和方法的问题解决和解决方案和研究的结果解释在给定的顺序。
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A REAL LIFE WEB BASED MARKETING OPTIMIZATION FRAMEWORK with EXTERNAL DATA
Big data and data science studies in recent years are booming exponentially, parallel to the data collected and increased processing speeds. As an inevitable consequence, most of the web-based companies are migrating their business models to novel technologies based on the big data and data science research. This paper is based on a real life experience based on one of the web stores with highest volume sales in Turkey. The project was building a data science model on big data technologies to make estimations based on the external data, such as weather conditions, customer demography, news at newspapers, current product alternatives, financial facts (like currency exchange rate or stock market values) and most importantly the sentimental analysis and opinion mining on social network, blogs and news. In the paper, details of problems and possible solution alternatives and methodology for problem solving and solutions and outcomes of the study are explained in the given order.
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