Abstract
Search engines have improved gradually for the last few years. The Artificial Intelligence (AI) field has played a big role in this area. The Internet has a lot of raw and informative data. Most popular search engines try to identify and understand the connection between those data and make it useful. In this paper, I propose an AI technique to classify and add some ranking and scoring to the listing phrases across the documents that have the same key-phrase. If the document has a listing like 1, 2, 3´�RU�$��%��&´ or I, II, III, or bullet points and so on. The inverted index will have the keys with their lists plus their scores as a phrase. When we search for a key that has a listing in it, the query will search for the key for matches through the index. Then we will get the results organized by their Ranking. (Abstract) Keywords-phrases Information Extraction; AI; Listing; Ordering; Classification; Pattern recognition; Named Entity (key words)
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