Title of Thesis: On Pseudo Relevance Feedback Based Approach for Automatic Query Expansion
Current Affiliation: Simon Fraser University, BC, Canada
Imran, H. and Sharan, A. (2010). Improving Effectiveness of Query Expansion Using Information-Theoretic Approach. In García-Pedrajas, N., Herrera, F., Fyfe, C., Benítez Sánchez, J.M., Ali, M. (Eds.) Proceedings of the International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA-AIE), Lecture Notes on Computer Science (LNCS), June 2010, Vol. 6097, 1-11, Spain, Springer Berlin Heidelberg
Imran, H. and Sharan, A. (2010). A Framework for Automatic Query Expansion. In Proceedings of Web Information Systems and Mining, Lecture Notes on Computer Science (LNCS), October 2010, Vol. 6318, 386-393, Springer Berlin Heidelberg
Sharan, A., Imran, H., & Joshi, M. (2008). A Trainable Document Summarizer Using Bayesian Classifier Approach. In Proceedings of the International Conference on Emerging Trends in Engineering and Technology (ICETET), July 2008, 1206-1211, India, IEEE.
Imran, H., & Sharan, A. (2010). A Framework for Efficient Document Ranking Using Order and Non-Order Based Fitness Function. In Proceedings of the International MultiConference of Engineers and Computer Scientists, March 2010, Vol. 1, 71-76, Hong Kong, Newswood Limited.
Imran, H. and Sharan, A. (2010). Co-occurrence Based Predictors for Estimating query difficulty. In Proceeding of International Conference on Data Mining Workshops. 867-874. Australia, IEEE Computer Society.
Automatic Query Expansion. International Journal of Computational Linguistic and Applications, 3(1), 107-119.
Imran, H. and Sharan, A. (2010). Selecting Effective Expansion Terms for Better Information Retrieval. Special issue on Web Semantics of International Journal of Computer Science & Applications, 7(2), 52-64.
Imran, H. and Sharan, A. (2009). Thesaurus and query Expansion. International Journal of Computer science & Information Technology (IJCSIT), 1(2), 89-97.
Imran, H. and Sharan, A. (2010). Genetic Algorithm Based Model for Effective Document Retrieval. In AO, S., Castillo O., Huang X. (Eds.), Intelligent Control and Computer Engineering (pp.191-201). The Netherland, Springer.