Alternative Search Engines October 13, 2007Posted by shahan in Uncategorized.
Tags: information retrieval, search engines, semi-structured information
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In response to WebWorkerDaily’s article, none of the search engines listed include retrieval using structured information. Although I’m involved with information retrieval as part of my research, I don’t spend a lot of time exploring the search engines “out there”. The only reason I can give is that they haven’t done for me what Google already does with a little bit of query creativity. While searching news or blogs may have the benefit of limited scope, there’s no demonstration of added benefit.
A consequence of limiting search to a niche is that the popular terms within that niche become “boosted” automatically without being subsumed, e.g., by a larger news service or certain wiki. Another is that the rate of re-crawling already indexed pages can be better managed. I’ll make it a point to explore whether these search engines examine markup on the page when crawling though this is unlikely.
Currently my research efforts in information retrieval are over semi-structured document collections. Within our group we have been experimenting with boosts to certain structural elements and although our efforts have met slight improvements in the result rankings, there are a number of other tests to be run which I anticipate to reveal better boosting factors. The boosts thus far that we have experimented with have excluded subelement content lengths and are calculated as: sum, log(sum), 1/log(sum), avg, and no boosting. The boosting is based on a Markov Chain Model developed for Strucutural Relevance by Sadek Ali and shows great promise in using summaries.