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Making Web Results Relevant With SAS

Overview Many companies search the Web to learn about their competition and understand their potential customers. But how accurate are these search results? For instance, has anyone ever submitted the query "SAS", only to get results back about "Scandinavian Airline Systems"? This paper presents a SAS-based solution to accessing and clustering Yahoo! search engine results by using SAS Text Miner. The paper demonstrates how to use matrix factorization techniques, clustering algorithms, and visualizations to discriminate between subsets of documents that are returned as the result of a query.

Further White Paper Details
Publisher	SAS Institute	File Format	PDF
Date Published	May 2007
Format	White Papers
Topics	Search Strategies, Data Mining - Analysis

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