Relevance Feedback Based Query Expansion Model Using Borda Count and Semantic Similarity Approach

Table 4

Comparison of both our proposed approaches with Aguera and Araujo’s model in terms of average precision and recall for FIRE 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	0.2217	0.1043	0.2175	0.1871	0.1839	0.2957
KLDBQE	0.2517	0.1299	0.2481	0.2150	0.2397	0.3268
Aguera and Araujo’s model	0.2738	0.1342	0.2545	0.2363	0.2510	0.3382
BBQE (proposed)	0.2932	0.1413	0.2769	0.2518	0.2656	0.3459
BSBQE (proposed)	0.3050	0.1494	0.2798	0.2612	0.2673	0.3506