Enhancements in query evaluation and page summarization of The Thinking Algorithm

This paper explores a unique way in which the thinking algorithm adds an extra logical substrate to a Web search query using artificial intelligence. Instead of just going after keyword searching, the algorithm tries to assess the motives of the user behind entering a query. The algorithm tries to find the reasons as to why a user has entered a particular query by adding this question with every query: ldquoSitting in a particular region, why has the person entered such a query?rdquo The compounded uniqueness level applies the concept of geo-location searches. The algorithm allots competency level to the user from the query term using topic trees. The query parsers and indexers in the algorithm are more magnetized into extracting meaningful information from queries and web pages than just indexing the words present in a web page. Clustering the search results help to resolve the ambiguity in a userpsilas query.