What were the key technology concepts and target areas for SenseBot?
I first came up with a concept of a summary as a type of response to a search engine query several years ago. Since then, the relevance of results returned by major search engines has improved dramatically. However, users’ expectations have grown as well. Today many search engine are trying to do more than just display 10 links on the first results page. On a very high level , we read the sources returned by a major search engine. We perform text mining on each source, extracting key concepts. We assess similarities between the sources and even drop those that are far off, i.e. not related to what the mass of the sources is about. We assign the weighting to the concepts, and ensure preferential treatment to the concepts representing the query. We then perform multi-document summarization, constructing a text summary out of the documents, according to a proprietary algorithm. So the actual result of the Web search turns out to be a summary on the user’s query topic. The best results can
