Web category search is a search method developed by DeriveIt that attempts to enhance the keyword search method currently available from the Googles of the world by trying to better understand the user’s intent and give them the results they really want.
An example might better illustrate our point. I want to buy golf clubs. I recently went to Google and entered the keywords, buy golf clubs, 7 of the first 10 results were for websites discussing how to buy golf clubs, and only 3 which sold golf equipment. The question arises how do we distinguish between a query where the user wishes to buy golf clubs, and a query where the user wishes information on how to buy golf clubs, because both may type in the keywords, buy golf clubs.
Another example might be the following: If a user goes to Google and types in the words, Taiwan porn, hoping to find web sites containing Taiwanese pornography, all they find in the Google results are links to news articles and discussion groups talking about Taiwanese pornography.
With our search engine they would only see links that our category filter has labeled as pornographic. The reason for this is, they must first select a category, such as pornography, and then they would enter the key words they wish to search on.
The first part represents the category in which they wish to search, and the second, the keywords, represents the content within that category they wish to look at. It is our opinion that keyword search methods place too much emphasis on specific word content, and not the actual intent of the site.
Once the user has selected a search category, and entered their keywords, a Google style search is first performed on the keywords, these results are then sent through our filter, for example, pornography, to see if it’s feature set matches that of the selected category. Thus only pornographic sites with the keywords Taiwan and/or porn would be displayed.