论文信息 - Synthesise Web Queries: Search the Web by Examples

Synthesise Web Queries: Search the Web by Examples

An algorithm to synthesise a web search query from example documents is described. A user searching for information on the Web can use a rudimentary query to locate a set of potentially relevant documents. The user classifies the retrieved documents as being relevant or irrelevant to his or her needs. A query can be synthesised from these categorised documents to perform a definitive search with good recall and precision characteristics.

David Johnson | Vishv M. Malhotra | Sunanda Patro

[1] Fabrizio Sebastiani,et al. Machine learning in automated text categorization , 2001, CSUR.

[2] Sholom M. Weiss,et al. Automated learning of decision rules for text categorization , 1994, TOIS.

[3] Jianhua Chen,et al. An incremental learning algorithm for constructing Boolean functions from positive and negative examples , 2002, Comput. Oper. Res..

[4] Vishv M. Malhotra,et al. Characteristics of the Boolean Web Search Query: Estimating Success from Characteristics , 2005, WEBIST.

[5] Sergey Brin,et al. The Anatomy of a Large-Scale Hypertextual Web Search Engine , 1998, Comput. Networks.