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@article{ART001914728},
author={Kiduk Yang},
title={Combining Multiple Sources of Evidenceto Enhance Web Search Performance},
journal={Journal of Korean Library and Information Science Society},
issn={2466-2542},
year={2014},
volume={45},
number={3},
pages={5-36},
doi={10.16981/kliss.45.3.201409.5}

TY - JOUR
AU - Kiduk Yang
TI - Combining Multiple Sources of Evidenceto Enhance Web Search Performance
JO - Journal of Korean Library and Information Science Society
PY - 2014
VL - 45
IS - 3
PB - Korean Library And Information Science Society
SP - 5
EP - 36
SN - 2466-2542
AB - The Web is rich with various sources of information that go beyond the contents of documents, such as hyperlinks and manually classified directories of Web documents such as Yahoo. This research extends past fusion IR studies, which have repeatedly shown that combining multiple sources of evidence (i.e. fusion) can improve retrieval performance, by investigating the effects of combining three distinct retrieval approaches for Web IR: the text-based approach that leverages document texts, the link-based approach that leverages hyperlinks, and the classification-based approach that leverages Yahoo categories. Retrieval results of text-, link-, and classification-based methods were combined using variations of the linear combination formula to produce fusion results, which were compared to individual retrieval results using traditional retrieval evaluation metrics. Fusion results were also examined to ascertain the significance of overlap (i.e. the number of systems that retrieve a document) in fusion. The analysis of results suggests that the solution spaces of text-, link-, and classification-based retrieval methods are diverse enough for fusion to be beneficial while revealing important characteristics of the fusion environment, such as effects of system parameters and relationship between overlap, document ranking and relevance.
KW - Fusion;Web search;Information retrieval
DO - 10.16981/kliss.45.3.201409.5
ER -

Kiduk Yang. (2014). Combining Multiple Sources of Evidenceto Enhance Web Search Performance. Journal of Korean Library and Information Science Society, 45(3), 5-36.

Kiduk Yang. 2014, "Combining Multiple Sources of Evidenceto Enhance Web Search Performance", Journal of Korean Library and Information Science Society, vol.45, no.3 pp.5-36. Available from: doi:10.16981/kliss.45.3.201409.5

Kiduk Yang "Combining Multiple Sources of Evidenceto Enhance Web Search Performance" Journal of Korean Library and Information Science Society 45.3 pp.5-36 (2014) : 5.

Kiduk Yang. Combining Multiple Sources of Evidenceto Enhance Web Search Performance. 2014; 45(3), 5-36. Available from: doi:10.16981/kliss.45.3.201409.5

Kiduk Yang. "Combining Multiple Sources of Evidenceto Enhance Web Search Performance" Journal of Korean Library and Information Science Society 45, no.3 (2014) : 5-36.doi: 10.16981/kliss.45.3.201409.5

Kiduk Yang. Combining Multiple Sources of Evidenceto Enhance Web Search Performance. Journal of Korean Library and Information Science Society, 45(3), 5-36. doi: 10.16981/kliss.45.3.201409.5

Kiduk Yang. Combining Multiple Sources of Evidenceto Enhance Web Search Performance. Journal of Korean Library and Information Science Society. 2014; 45(3) 5-36. doi: 10.16981/kliss.45.3.201409.5

Kiduk Yang. Combining Multiple Sources of Evidenceto Enhance Web Search Performance. 2014; 45(3), 5-36. Available from: doi:10.16981/kliss.45.3.201409.5

Kiduk Yang. "Combining Multiple Sources of Evidenceto Enhance Web Search Performance" Journal of Korean Library and Information Science Society 45, no.3 (2014) : 5-36.doi: 10.16981/kliss.45.3.201409.5