Context-sensitive information retrieval using implicit feedback
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
On off-topic access detection in information systems
Proceedings of the 14th ACM international conference on Information and knowledge management
Detection using clustering query results
ISI'06 Proceedings of the 4th IEEE international conference on Intelligence and Security Informatics
Improving classification based off-topic search detection via category relationships
Proceedings of the 2009 ACM symposium on Applied Computing
| Hi-index | 0.00 |
Retrieving off-topic documents to a user's pre-defined area of interest via a search engine is potentially a violation of access rights and is a concern to every private, commercial, and governmental organization. We improve content-based off-topic search detection approaches by using a sequence of user queries versus the individual queries. In this approach, we reevaluate how off-topic a query is, based on the sequence of queries that preceded it. Our empirical results show that using the information from the queries in a given query window, the false alarm rate is reduced by a statistically significant amount.