买还是不买，这是个问题

Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining Pub Date : 2013-08-11 DOI:10.1145/2487575.2491129

Oren Etzioni

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引用次数: 0

摘要

购物可以分解为三个基本问题:买什么，在哪里买，什么时候买?在这次演讲中，我将描述我们如何利用先进的数据挖掘和文本挖掘技术在decisi.com(以及早些时候在Farecast)为在线购物者解决这些问题。我们的算法利用数十亿个数据点预测价格，并根据数百万条评论对产品进行排名。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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To buy or not to buy: that is the question

Shopping can be decomposed into three basic questions: what, where, and when to buy? In this talk, I'll describe how we utilize advanced data-mining and text-mining techniques at Decide.com (and earlier at Farecast) to solve these problems for on-line shoppers. Our algorithms have predicted prices utilizing billions of data points, and ranked products based on millions of reviews.

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Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining

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