Implementation and Evaluation of a Quality Based Search Engine
(2006) Implementation and Evaluation of a Quality Based Search Engine. Delivered at 17th ACM Conference on Hypertext and Hypermedia (HT '06), Odense, Denmark. Presentation.
Full text available as: |
Abstract
In this paper, an approach for the implementation of a quality-based Web search engine is proposed. Quality retrieval is introduced and an overview on previous efforts to implement such a service is given. Machine learning approaches are identified as the most promising methods to determine the quality of Web pages. Features for the most appropriate characterization of Web pages are determined. A quality model is developed based on human judgments. This model is integrated into a meta search engine which assesses the quality of all results at run time. The evaluation results show that quality based ranking does lead to better results concerning the perceived quality of Web pages presented in the result set. The quality models are exploited to identify potentially important features and characteristics for the quality of Web pages.
| Keywords: | web information retrieval, automatic quality evaluation, user study |
|---|---|
| Subjects: | L. Information technology and library technology. > LM. Automatic text retrieval. L. Information technology and library technology. > LS. Search engines. L. Information technology and library technology. > LC. Internet, including WWW. |
| ID Code: | 7079 |
| Deposited By: | Mandl, Thomas |
| Deposited On: | 29 August 2006 |
| Alternative Locations: | http://www.uni-hildesheim.de/~mandl/Publikationen/Mandl_ Presentation-ACM_HT2006@Odense_AQUAINT.ppt.pdf |
| All fields: | Show all fields |
Archive Staff Only: edit this record