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

Table 2

The comparison of different QE term selection methods with Okapi-BM25 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
CBQE	0.2221	0.1176	0.2163	0.1965	0.1847	0.2963
RSVBQE	0.2380	0.1184	0.2201	0.1994	0.1895	0.3045
IGBQE	0.2419	0.1297	0.2458	0.2142	0.2391	0.3205
KLDBQE	0.2517	0.1299	0.2481	0.2150	0.2397	0.3268