Boosting Search with Deep Understanding of Contents and Users

Kaihua Zhu
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Abstract

Recent years have witnessed dramatic changes in how people interact with search engines. Search engines are expected to be more intelligent in understanding users' intention and fulfilling users' needs with direct answers rather than raw information. Furthermore, search engines are expected to be equipped with recommendation and dialogue capabilities, making the interaction with users more natural and smoother. In this talk, I will introduce Baidu's work on how to make some of them come true through the deep understanding of users, queries and web pages, and discuss challenges behind these technologies.
通过对内容和用户的深入理解来促进搜索
近年来,人们与搜索引擎的互动方式发生了巨大变化。人们期望搜索引擎在理解用户意图和满足用户需求方面更加智能,提供直接的答案而不是原始的信息。此外,搜索引擎有望配备推荐和对话功能,使与用户的交互更加自然和流畅。在这次演讲中,我将介绍百度如何通过对用户、查询和网页的深入理解来实现其中的一些目标,并讨论这些技术背后的挑战。
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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