Search Engine Final Project Demonstration

Evaluation analysis the comparison result shows that

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Unformatted text preview: rooms in nova scotia ○ Questions: ■ Of the top ten results, how many were relevant to the information need? Evaluation Analysis ● The comparison result shows that ○ Our MSE have decreased the precision of the result ● Why these results ○ Existing Ranking ○ Evaluation method ○ Definition of relevance Conclusions Research ● Findings show that precision not more accurate ● Extensions ○ Classifying user queries ○ Determine which results are relevant Limitations ● Evaluation method ● Number of search engines ● Methods of re-ranking Future Work ● ● ● ● Further Evaluation More in-depth study Increase number of search engines Methods of re-ranking/classifying searches DEMO http://web.cs.dal. ca/~miller1/cs4141/project References [1] Srinivas, K., A. Govardhan, V. Valli Kumari, and P. V. S. Srinivas.2013. "Concept Similarity and Cosine Similarity Result Merging Approaches in Metasearch Engine." In Proceedings of the Third International Conference on Trends in Information, Telecommunication and Computing, pp. 65-74. Springer New York, 2013. [2] Feng, Junliang, Jun...
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This document was uploaded on 02/14/2014 for the course CSCI 6403 at Dalhousie.

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