Colace, F.; Santo, M. De; Greco, L.; Napoletano, P.: Weighted word pairs for query expansion (2015)
0.01
0.010392102 = product of:
0.04676446 = sum of:
0.018148692 = weight(_text_:of in 2687) [ClassicSimilarity], result of:
0.018148692 = score(doc=2687,freq=12.0), product of:
0.061262865 = queryWeight, product of:
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.03917671 = queryNorm
0.29624295 = fieldWeight in 2687, product of:
3.4641016 = tf(freq=12.0), with freq of:
12.0 = termFreq=12.0
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.0546875 = fieldNorm(doc=2687)
0.028615767 = weight(_text_:systems in 2687) [ClassicSimilarity], result of:
0.028615767 = score(doc=2687,freq=2.0), product of:
0.12039685 = queryWeight, product of:
3.0731742 = idf(docFreq=5561, maxDocs=44218)
0.03917671 = queryNorm
0.23767869 = fieldWeight in 2687, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.0731742 = idf(docFreq=5561, maxDocs=44218)
0.0546875 = fieldNorm(doc=2687)
0.22222222 = coord(2/9)
- Abstract
- This paper proposes a novel query expansion method to improve accuracy of text retrieval systems. Our method makes use of a minimal relevance feedback to expand the initial query with a structured representation composed of weighted pairs of words. Such a structure is obtained from the relevance feedback through a method for pairs of words selection based on the Probabilistic Topic Model. We compared our method with other baseline query expansion schemes and methods. Evaluations performed on TREC-8 demonstrated the effectiveness of the proposed method with respect to the baseline.