Abstract
In this paper we examined how a semantically enriched query alter- natives improve the score and rank of the search results in Information Retrieval Systems. This enrichment is statistically analysed and presented using TREC data and utilizing Solr full-text search platform. The improvement are measured using scoring functions such as BM25. Mean Average Precision (mAP) measure was used to compare different configurations of search engine using a scheme we designed for this purpose.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 36th International Workshop on Statistical Modelling, July 18-22, 2022, Trieste, Italy |
| Publisher | EUT Editions University of Trieste |
| Pages | 462-466 |
| Number of pages | 5 |
| ISBN (Print) | 9788855113090 |
| Publication status | Published - 2022 |
| Event | International Workshop on Statistical Modelling - Duration: 18 Jul 2022 → … |
Conference
| Conference | International Workshop on Statistical Modelling |
|---|---|
| Period | 18/07/22 → … |
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