Friday, March 18, 2011
Muddiest Point for Exam
I'm quite confused about the last question. Can professor explain it on class?
Reading Notes for Lecture 9
Current information retrieval systems have addressed these inherent properties of information seeking and indexing in a variety of ways. Browsing has been employed to facilitate the iterative and ill-defined nature of information seeking, but can lead to a loss of direction and overly narrow searches. Queries provide a means to direct the search, but often rely on the user understanding a complex query language and proper vocabulary to be effective. An integration of these strategies is a promising approach that can solve some of these problems. Information visualization techniques such as the Perspective Wall at Xerox PARC can be used in interface design to improve both browsing and querying.
Good information retrieval system design combines a combination of support for information seeking strategies, such as browsing and direct querying, in an interface that provides effective cues to the location, use, and characteristics of the retrieved information. Feedback techniques are also crucial to support the iterative refinement of information needs.
Guidelines for the design of information retrieval systems must address not only issues of look-and-feel, but also of effective interaction. Dialog models based on relevance feedback and query reformulation explicitly address the ill-defined nature of information seeking by allowing users to learn from the repository and iteratively refine the information need. Systems need to support a number of interaction styles, such as querying and browsing, to accommodate the different kinds of search strategies users may need to use.
Design strategies for retrieval systems need to pay particular attention to the interaction between users and the texts they retrieve. People's information seeking behavior needs to be analyzed in the problem solving context in which their information needs arise. For example, what are some of the common associations people make? What information is closely related? What different perspectives can a piece of information be viewed from? The answers to these questions often differ, depending critically on the nature of the task and the individuals performing the task. Task analysis, user modeling and interaction modeling are some of the strategies that can be used to improve the design of retrieval systems.
Good information retrieval system design combines a combination of support for information seeking strategies, such as browsing and direct querying, in an interface that provides effective cues to the location, use, and characteristics of the retrieved information. Feedback techniques are also crucial to support the iterative refinement of information needs.
Guidelines for the design of information retrieval systems must address not only issues of look-and-feel, but also of effective interaction. Dialog models based on relevance feedback and query reformulation explicitly address the ill-defined nature of information seeking by allowing users to learn from the repository and iteratively refine the information need. Systems need to support a number of interaction styles, such as querying and browsing, to accommodate the different kinds of search strategies users may need to use.
Design strategies for retrieval systems need to pay particular attention to the interaction between users and the texts they retrieve. People's information seeking behavior needs to be analyzed in the problem solving context in which their information needs arise. For example, what are some of the common associations people make? What information is closely related? What different perspectives can a piece of information be viewed from? The answers to these questions often differ, depending critically on the nature of the task and the individuals performing the task. Task analysis, user modeling and interaction modeling are some of the strategies that can be used to improve the design of retrieval systems.
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