Call for Paper - January 2023 Edition
IJCA solicits original research papers for the January 2023 Edition. Last date of manuscript submission is December 20, 2022. Read More

Faceted Search using Bootstrap List Extraction Method

Print
PDF
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Authors:
Shery T. S., Sreeja M. U., Binsu C. Kovoor
10.5120/ijca2017915188

Shery T S., Sreeja M U. and Binsu C Kovoor. Faceted Search using Bootstrap List Extraction Method. International Journal of Computer Applications 172(7):40-43, August 2017. BibTeX

@article{10.5120/ijca2017915188,
	author = {Shery T. S. and Sreeja M. U. and Binsu C. Kovoor},
	title = {Faceted Search using Bootstrap List Extraction Method},
	journal = {International Journal of Computer Applications},
	issue_date = {August 2017},
	volume = {172},
	number = {7},
	month = {Aug},
	year = {2017},
	issn = {0975-8887},
	pages = {40-43},
	numpages = {4},
	url = {http://www.ijcaonline.org/archives/volume172/number7/28267-2017915188},
	doi = {10.5120/ijca2017915188},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

The traditional way of interaction between users and search engines has changed a lot by the invention of faceted search. Earlier, the user had to enter keywords on search engines and the search engine returns a set of web pages on the basis of input keyword. The user has to traverse through these web pages to identify the relevant information. Also, the search results are multifaceted which further reduces clarity in the results. The proposed system presents a systematic solution for finding query facets from top results on search engines by utilizing list extraction algorithm. This helps the users to find the right information without searching a large number of pages. The paper proposes Bootstrap technique in the list extraction phase which will add more results into the extracted list.

References

  1. Friedrich, J., Lindemann, C. and Petrifke, M. 2015. Utilizing Query Facets for Search Result Navigation. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 271-275.
  2. Dou, Z., Jiang, Z., Hu, S., Wen, J. R. and Song, R . 2016. Automatically Mining Facets for Queries from Their Search Results IEEE Transactions on Knowledge and Data Engineering. 28(2), 385-397.
  3. Wei, B., Liu, J., Zheng, Q., Zhang, W., Fu, X., Feng, B.2013. A survey of faceted search. In: Journal of Web Engineering, 12(1-2), 41-64.
  4. Dou, Z., Hu, S., Luo, Y., Song, R., Wen, J. 2011. Finding dimensions for queries. In Proceedings of the ACM international conference on Information and knowledge management.
  5. Anju, G. R. and Karthik, M. 2016. Minning Queries From Search Results: A Survey. Imperial Journal of Interdisciplinary Research (IJIR). 2(12), 1840-1842.
  6. Li, C., Yan, N., Roy, S. B., Lisham,.L. and Das,.G. 2010. Facetedpedia: dynamic generation of query-dependent faceted interfaces for Wikipedia. . In Proceedings of the International conference on World Wide Web. 651- 660.
  7. Stoica, E., Hearst, M. A., and Richardson, M. 2007. Automating creation of hierarchical faceted metadata structures. In Proceedings of NAACL HLT. 244-251.
  8. Carlson, A., Betteridge, J. and Wang, R.C., Estevam, R. H., Mitchell, T. M. 2010. Coupled Semi-Supervised Learning for Information Extraction. In Proceedings of the ACM international conference on Web search and data mining.
  9. Daniel, N., Esenther, A. 2009. Semi-Supervised Information Extraction From Variable-Length Web Page Lists. International Conference on Enterprise information Systems.261-266.

Keywords

Query facets, faceted search, clustering, multifacets, bootstrap method.