Terms are the basic building block of queries for information retrieval systems, and queries are the primary means of translating user's information needs into a form that information retrieval systems can understand. As such, terms and how they are used in queries reflect the essential components of user's problem solving and decision making interaction with any information retrieval system. If the terms, their semantics, and the query syntax can be modeled, one could tailor the information retrieval system to confirm to this model, which may provide assistance to the user in finding relevant information. In pursue of this goal, we analyzed a transaction log containing over a million queries posed by over 200,000 users of Excite, a major Internet search service. We examined individual queries to isolate basic query structure syntactic patterns. Based on this analysis, we developed a linguistic model, classifying queries into five (5) general categories. Web queries are overwhelming noun phrases, usually in the form of a modifying noun followed by the modified noun. We conclude with the implications of this user model on system design of IR systems.
|Original language||English (US)|
|Number of pages||8|
|Journal||Proceedings of the ASIS Annual Meeting|
|State||Published - Dec 1 2000|
All Science Journal Classification (ASJC) codes
- Information Systems
- Library and Information Sciences