Getting work done on the web: supporting transactional queries

Many searches on the web have a transactional intent. We argue that pages satisfying transactional needs can be distinguished from the more common pages that have some information and links, but cannot be used to execute a transaction. Based on this hypothesis, we provide a recipe for constructing a transaction annotator. By constructing an annotator with one corpus and then demonstrating its classification performance on another, we establish its robustness. Finally, we show experimentally that a search procedure that exploits such pre-annotation greatly outperforms traditional search for retrieving transactional pages. Categories and Subject Descriptors H.3.1 [Information Storage and Retrieval]: Content Analysis and Indexing; H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval General Terms Algorithms, Experimentation Keywords Information Extraction, Intranet Search, Transactional Search

• Type: Conference
• Year: 2006
• Where: SIGIR
• Authors: Yunyao Li, Rajasekar Krishnamurthy, Shivakumar Vaithyanathan, H. V. Jagadish
• Keywords: SIGIR 2006, Transaction Annotator, Transactional Intent, Transactional Needs