What Snippets Say About Pages in Federated Web Search

Share/Save/Bookmark

Demeester, Thomas and Nguyen, Dong-Phuong and Trieschnigg, Dolf and Develder, Chris and Hiemstra, Djoerd (2012) What Snippets Say About Pages in Federated Web Search. In: 8th Asia Information Retrieval Societies Conference, AIRS 2012, 17-19 December 2012, Tianjin, China.

[img]
Preview
PDF (Author's version)
135Kb
Abstract:What is the likelihood that a Web page is considered relevant to a query, given the relevance assessment of the corresponding snippet? Using a new federated IR test collection that contains search results from over a hundred search engines on the internet, we are able to investigate such research questions from a global perspective. Our test collection covers the main Web search engines like Google, Yahoo!, and Bing, as well as a number of smaller search engines dedicated to multimedia, shopping, etc., and as such reflects a realistic Web environment. Using a large set of relevance assessments, we are able to investigate the connection between snippet quality and page relevance. The dataset is strongly inhomogeneous, and although the assessors’ consistency is shown to be satisfying, care is required when comparing resources. To this end, a number of probabilistic quantities, based on snippet and page relevance, are introduced and evaluated.
Item Type:Conference or Workshop Item
Faculty:
Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:
Link to this item:http://purl.utwente.nl/publications/81857
Conference URL:http://airs2012.sinaapp.com/
Export this item as:BibTeX
EndNote
HTML Citation
Reference Manager

 

Repository Staff Only: item control page