Incremental Information Retrieval. Finding new information by registering and ignoring already seen search results

Abstract

When searching the internet today we want immediate answers. We often search for a person, or a solution to a problem, or some topic we are interested in. The result quality of this kind of search is pretty good, most of the time we get the answers we need. The results, though, seems to be minor variations on the same results. But what if the search for information is of a different nature, more like exploring. A typical case would be when a person has a hobby, and wants to search for information about it. Very soon all the quickly accessed information has already been seen, and is not that interesting in the context of new information. It appears that no research has been done on search from this angle of approach. This thesis will look into this matter, to attempt to implement a system to give users the kind of search where the user may want to see new results on the same subject, maybe over a period of days, months, even years.