Optimizing search engines using clickthrough data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Discovering key concepts in verbose queries
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Reducing long queries using query quality predictors
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
A term dependency-based approach for query terms ranking
Proceedings of the 18th ACM conference on Information and knowledge management
A quasi-synchronous dependence model for information retrieval
Proceedings of the 20th ACM international conference on Information and knowledge management
Harvesting visual concepts for image search with complex queries
Proceedings of the 20th ACM international conference on Multimedia
Compact query term selection using topically related text
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Detecting verbose queries and improving information retrieval
Information Processing and Management: an International Journal
| Hi-index | 0.00 |
Query term ranking approaches are used to select effective terms from a verbose query by ranking terms. Features used for query term ranking and selection in previous work do not consider grammatical relationships between terms. To address this issue, we use syntactic features extracted from dependency parsing results of verbose queries. We also modify the method for measuring the effectiveness of query terms for query term ranking.