IMPROVE WEB INFORMTION QUALITY USING ADVANCE SEARCHING METHODOLOGIES AND INFORMATION RETRIEVAL TECHNIQUES

Abstract

This Thesis deals with the latest and advance technique for web searching i.e. image search using Natural language processing, security advice, statistical ranking with social tagging and website recommendation with security and purpose information retrieval. The result of a search will yield many thousands of results but what is important is how relevant those results are to what was intended. Natural language processing is partly used in text search but not in image search; this report proposes a Search Engine superior to any other, which uses natural language processing for images as well. This search engine is based on machine language, AIML with consideration of social tagging and also adds various features like security advice, spam checking and purpose of the intended site and also it also deal with advertising problem on web by proposing efficient and effective way of presentation of advertising.