How Web Content Mining Improves Relevance of Search Results

How Web Content Mining Improves Relevance of Search Results

Published On April 28, 2015 -   by

In the race to improve data mining and lead generation, companies often overlook what is potentially their largest data source – the World Wide Web. The bad news? This rich data source is constantly increasing in size, and the task of effectively searching web-based data is an impossible task without employing the most advanced data mining techniques. In this article, DataEntryOutsourced explores the growing importance of web content mining for improving the relevance of search results in response to search queries.

What Is Web Content Mining?

Web content mining – also known as text mining – is the mining of text, graphs and images on a web page in order to analyze web content relevance for search queries. The process starts with structure mining that clusters web pages and then provides results based on search relevance. Web content mining distinguishes between personal home pages and other web content.

Web Structure Mining and Web Usage Mining

To better understand web content mining, it helps to view the process in terms of web structure mining and web usage mining.

  • Web Structure Mining – This emphasizes data describing content structure. Intra-page structure refers to links within a page and inter-page structure refers to connections with other pages.
  • Web Usage Mining – This emphasizes data mining analysis regarding user access patterns available from web usage logs.

How Does Web Data Mining Work?

Text mining is designed to build upon customer search information from search engines. After scanning the entire content of a web cluster, results are ranked in relevance from lowest to highest for suggested queries. The primary goal is to reduce “irrelevant information” by relaying data mining results to search engines – web text mining is very effective for content databases dealing with specific topics. Without web data mining to analyze web content in a coordinated fashion, many HTML documents and images could be overlooked by search engines when determining relevance to a query. The end result (in order of relevance) that is provided to search engines is designed to lead to more productive results for each search. In an era of increasing web content, this is indeed a worthy goal!

Web Content Mining Tools

With any content database, web content categorization is the most important capability for using search engines more efficiently. There are some existing tools to make text mining and clustering an easier chore – examples include Web Content Extractor, Mozenda, Automation Anywhere 6.1, Web Info Extractor and Screen-Scraper.

In a world of “With Web Content Mining” and “Without Web Content Mining,” the clear winner is “With” – without web content mining, users seeking information could literally face the daunting task of searching through thousands of results. In a Win-Win, effective web content mining can reduce frustration, improve search results and enhance lead generation. What’s not to like about that?

Improving Marketing Results

You undoubtedly hope that your website visitors are happy with search results involving your site – but are they really? DataEntryOutsourced can help you get a definitive and expert answer to that question. DEO can show you how to improve your marketing results and increase lead generation by formulating a Web Data Mining Strategy.

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