像人一样思考:构建面向认知的网络搜索检索模型

Xiangsheng Li
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引用次数: 0

摘要

现有的检索模型已经取得了很大的成功,然而,我们必须承认,这些模型的工作方式与人类做出相关判断的方式相当不同。为了弥补实际用户行为与检索模型之间的差距,有必要构建面向认知的检索模型。IR的认知过程包括两个重要方面:搜索和阅读。搜索是用户与检索系统交互的查询制定、点击等行为,而阅读是用户在特定的登陆页面或文档中寻找信息的行为。我们计划通过开展基于实验室的用户研究,更好地了解用户在这两个方面的认知行为。更重要的是,从认知行为中得出的启发式然后被纳入检索模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Think like a Human: Constructing Cognitive-oriented Retrieval Model for Web Search
Existing retrieval models have gained much success, however, we have to admit that the models work in a rather different manner than how humans make relevance judgments. To bridge the gap between practical user behavior and retrieval model, it is essential to construct cognitive-oriented retrieval model. The cognitive process in IR includes two important aspects: searching and reading. Searching is the user behaviors interacted with retrieval system such as query formulation and click while reading is the information seeking behavior in a specific landing page or document. We plan to better understand user cognitive behaviors in these two aspects by conducting a lab-based user study. More importantly, the heuristics drawn from cognitive behaviors are then incorporated into retrieval models.
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