User-Adaptive Search and Evaluation for Complex Information-Seeking Tasks

该项目计划开发一个新的评估框架，以了解和描述网络用户及其在复杂的、多方面的搜索任务中的情况，例如通过求职。虽然对网络搜索引擎效率的评估相对较好，但在具有不同用户的复杂任务的背景下衡量信息检索性能在很大程度上是一个被忽视的问题。该项目计划从行业合作伙伴Seek运营的在线信息服务的复杂档案和交互日志中挖掘用户特定的特征和情况。这些新技术旨在重新定义对面向任务的搜索的理解，并有可能重塑复杂搜索任务的用户体验。这个项目将改变如何在复杂的任务场景中衡量实用的搜索系统。这将使提供基于任务的搜索服务的企业能够提供更多定制的产品，从而产生重大的经济影响。在目标领域(求职)，这极大地增强了一项与澳大利亚生产力高度相关的服务。

This project plans to develop a new evaluation framework to understand and characterise web users and their situation within complex, multi-faceted search tasks, exemplified through job-search. While evaluation of web search engine effectiveness is relatively well understood, measuring information retrieval performance in the context of complex tasks with heterogeneous users is a largely neglected problem. This project plans to mine user-specific characteristics and situations from complex profiles and interaction logs for online information services run by the industry partner, SEEK. The new techniques are intended to redefine understanding of task-oriented search, and have the potential to reinvent the user experience for complex search tasks. This project will transform how practical search systems are measured within complex task scenarios. This will result in substantial economic impact by enabling businesses providing task-based search services to provide more customized offerings. Within the target domain (job search), this greatly enhances a service highly relevant to Australia's productivity.