Query expansion using lexical-semantic relations
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
A network approach to probabilistic information retrieval
ACM Transactions on Information Systems (TOIS)
A new method of weighting query terms for ad-hoc retrieval
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Analyses of multiple evidence combination
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Improving two-stage ad-hoc retrieval for short queries
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Phase-based information retrieval
Information Processing and Management: an International Journal
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms
Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms
Fusion Via a Linear Combination of Scores
Information Retrieval
PRINCIPAR: an efficient, broad-coverage, principle-based parser
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 1
The NRRC reliable information access (RIA) workshop
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Hedge Trimmer: a parse-and-trim approach to headline generation
HLT-NAACL-DUC '03 Proceedings of the HLT-NAACL 03 on Text summarization workshop - Volume 5
Neural Computation
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
Improving weak ad-hoc queries using wikipedia asexternal corpus
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
SINAI at CLEF 2006 ad hoc robust multilingual track: query expansion using the Google search engine
CLEF'06 Proceedings of the 7th international conference on Cross-Language Evaluation Forum: evaluation of multilingual and multi-modal information retrieval
| Hi-index | 0.00 |
Users experience frustration when their reasonable queries retrieve no relevant documents. We call these weak queries and retrievals. Improving their effectiveness is an important issue in ad-hoc retrieval and will be most rewarding for these users. We offer an explanation (with experimental support) why data fusion of sufficiently different retrieval lists can improve weak query results. This approach requires sufficiently different retrieval lists for an ad-hoc query. We propose various ways of selecting salient terms from longer queries to probe the web, and define alternate queries from web results. Target retrievals by the original and alternate queries are combined. When compared with normal ad-hoc retrieval, web assistance and data fusion can improve weak query effectiveness by over 100%. Another benefit of this approach is that other queries also improve along with weak ones, unlike pseudo-relevance feedback which works mostly for non-weak queries.