Research Article
Relevance Feedback Based Query Expansion Model Using Borda Count and Semantic Similarity Approach
Table 5
Comparison of both our proposed approaches with Aguera and Araujo’s model in terms of average precision and recall for TREC dataset.
| | Methods | Top 10 retrieved documents | Top 25 retrieved documents | Top 50 retrieved documents | | Average precision | Average recall | Average precision | Average recall | Average precision | Average recall |
| | Okapi-BM25 | 0.2378 | 0.1172 | 0.2204 | 0.1911 | 0.1955 | 0.3012 | | KLDBQE | 0.2536 | 0.1304 | 0.2594 | 0.2191 | 0.2413 | 0.3315 | | Aguera and Araujo’s model | 0.2774 | 0.1350 | 0.2581 | 0.2401 | 0.2593 | 0.3352 | | BBQE (proposed) | 0.2948 | 0.1456 | 0.2795 | 0.2585 | 0.2696 | 0.3467 | | BSBQE (proposed) | 0.3093 | 0.1487 | 0.2851 | 0.2657 | 0.2729 | 0.3544 |
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