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| Content Provider | ACM Digital Library |
|---|---|
| Author | Zhou, Michelle X. Lu, Jie |
| Abstract | We are building an interactive, smart notepad system where users enter brief notes to drive a dynamic information-seeking process. In this paper, we focus on describing our work from two aspects: 1) dynamic interpretation of user notes in context to infer a user's information needs, and 2) automatic generation of data queries to satisfy the inferred user needs. Compared to existing information systems, our work offers three unique contributions. First, our system allows users to focus on what to retrieve instead of how, since users can use brief notes to express their information needs without worrying about specific retrieval details. Second, users can use notes to efficiently request multiple pieces of information at once instead of issuing one query at a time. Third, users can easily update any part of their notes to obtain new or updated information. Whenever a user's notes are modified, our system automatically detects and evaluates all affected note sections to retrieve new or updated information. Our preliminary evaluation shows the promise of this work. |
| Starting Page | 127 |
| Ending Page | 136 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781605581682 |
| DOI | 10.1145/1502650.1502671 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2009-02-08 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Note-driven information retrieval Automatic query formulation Context-sensitive information seeking |
| Content Type | Text |
| Resource Type | Article |
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| 1 | Ministry of Education (GoI), Department of Higher Education |
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