Grammar-based task analysis of web logs

The daily use of Internet-based services is involved with hundreds of different tasks being performed by multiple users. A single task is typically involved with a sequence of Web URLs invocation. We study the problem of pattern detection in Web logs to identify tasks performed by users, and analyze task trends over time using a grammar-based framework. Our results are demonstrated on a corporate Intranet portal application with 7000 users over a 6 week period and demonstrate compelling business value from this high-level task analysis. Categories and Subject Descriptors H.3.1 [Information Storage and Retrieval]: Content Analysis xing – Abstracting methods. H.3.4 [Information Storage and Retrieval]: Systems and Software – Performance evaluation (efficiency and effectiveness). General Terms: Algorithms, Measurement, Design

• Type: Conference
• Year: 2004
• Where: CIKM
• Authors: Savitha Srinivasan, Arnon Amir, Prasad M. Deshpande, Vladimir Zbarsky
• Keywords: CIKM 2004, Information Storage, Single Task, Web URLs Invocation