Optimization for dynamic inverted index maintenance
SIGIR '90 Proceedings of the 13th annual international ACM SIGIR conference on Research and development in information retrieval
Incremental updates of inverted lists for text document retrieval
SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
Managing gigabytes (2nd ed.): compressing and indexing documents and images
Managing gigabytes (2nd ed.): compressing and indexing documents and images
Fast Incremental Indexing for Full-Text Information Retrieval
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
In-place versus re-build versus re-merge: index maintenance strategies for text retrieval systems
ACSC '04 Proceedings of the 27th Australasian conference on Computer science - Volume 26
Indexing time vs. query time: trade-offs in dynamic information retrieval systems
Proceedings of the 14th ACM international conference on Information and knowledge management
Fast on-line index construction by geometric partitioning
Proceedings of the 14th ACM international conference on Information and knowledge management
InfoScale '06 Proceedings of the 1st international conference on Scalable information systems
Hybrid index maintenance for growing text collections
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Efficient on-line index maintenance for dynamic text collections by using dynamic balancing tree
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
On-line index maintenance using horizontal partitioning
Proceedings of the 18th ACM conference on Information and knowledge management
RESQ: rank-energy selective query forwarding for distributed search systems
Proceedings of the 21st ACM international conference on Information and knowledge management
Rank-energy selective query forwarding for distributed search systems
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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The existing query-log based on-line index maintenance approaches rely on frequency distribution of terms in the static query-log. Though these approaches are proved to be efficient, but in real world, the frequency distribution of the terms changes over a period of time. This negatively affects the efficiency of the static query-log based approaches. To overcome this problem, we propose an index tuning strategy for reorganizing the indexes according to the latest frequency distribution of the terms captured from query-logs.Experimental results show that the proposed tuning strategy improves the performance of static query-log based approaches.