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搜索伙伴:将搜索引擎引入对话

SearchBuddies: Bringing Search Engines into the Conversation
课程网址: http://videolectures.net/icwsm2012_hecht_searchbuddies/  
主讲教师: Brent Hecht
开课单位: 西北大学
开课时间: 2012-07-06
课程语种: 英语
中文简介:
虽然人们在询问朋友的问题时会收到可靠的,个性化的建议和辅助社会福利,但使用搜索引擎通常是找到答案的有效方式。迄今为止,尝试集成社交和算法搜索已经集中在将社交内容转换为算法搜索结果。然而,通过颠倒这种方法并将算法内容引入基于自然问题的对话,可以保留社交搜索的更多好处。要成功完成此任务,有必要将搜索引擎交互添加到社交环境中。在本文中,我们提出了SearchBuddies,这是一个用算法搜索结果响应Facebook的状态消息问题的系统。通过将系统部署到122个社交网络用户三个月,我们探索人们如何在高度社交的环境中回应内容。部署SearchBuddies的Ourexperience表明,社交嵌入式搜索引擎可以成功地为用户提供社交环境中的独特且高度相关的信息,可以将其集成到围绕信息需求的对话中。该部署还阐明了在社会环境中嵌入搜索引擎的特定挑战,并为解决方案提供指导。
课程简介: Although people receive trusted, personalized recommendations and auxiliary social benefits when they ask questions of their friends, using a search engine is often a more effective way to find an answer. Attempts to integrate social and algorithmic search have thus far focused on bringing social content into algorithmic search results. However, more of the benefits of social search can be preserved by reversing this approach and bringing algorithmic content into natural question-based conversations. To do this successfully, it is necessary to adapt search engine interaction to a social context. In this paper, we present SearchBuddies, a system that responds to Facebook status message questions with algorithmic search results. Via a three-month deployment of the system to 122 social network users, we explore how people responded to search content in a highly social environment. Our experience deploying SearchBuddies shows that a socially embedded search engine can successfully provide users with unique and highly relevant information in a social context and can be integrated into conversations around an information need. The deployment also illuminates specific challenges of embedding a search engine in a social environment and provides guidance toward solutions.
关 键 词: 搜索引擎; 社交环境; 信息需求
课程来源: 视频讲座网
最后编审: 2019-04-27:lxf
阅读次数: 40