Relevance feedback with too much data
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Poison pills: harmful relevant documents in feedback
Proceedings of the 14th ACM international conference on Information and knowledge management
Towards a unified approach to document similarity search using manifold-ranking of blocks
Information Processing and Management: an International Journal
Improved latent concept expansion using hierarchical markov random fields
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Utilizing inter-passage and inter-document similarities for reranking search results
ACM Transactions on Information Systems (TOIS)
| Hi-index | 0.00 |
Using relevance feedback can significantly improve (ad hoc) retrieval effectiveness. Yet, if little feedback is available, effectively exploiting it is a challenge. To that end, we present a novel approach that utilizes document passages. Empirical evaluation demonstrates the merits of the approach.