Deep Root Memory Optimized Indexing Methodology for Image Search Engines

Negligence of Phrase Indexing in Search Engines

Currently, search engines suffer from conceptual problems despite the application of refi ned techniques. The fundamental problem lies in the absence of classical information processing concepts in search engine processing. The limitation of search engines in phrase processing is highlighted in this paper. The results of search engine retrievals are compared with propriety database search resul...

NASA Indexing Benchmarks: Evaluating Text Search Engines

Stipulated Ranking Technique for Image Search Engines

The social media sites, such as Flickr and del.icio.us, allow users to upload content and annotate it with descriptive labels known as tags, join special-interest groups, etc. We believe user-generated metadata expresses user’s tastes and interests and can be used to personalize information to an individual user. Specifically, we describe a machine learning method that analyzes a corpus of tagg...

Automatic Indexing of Handwritten Medical Forms for Search Engines

A new paradigm, which models the relationships between handwriting and topic categories (denoted as ‘concepts’), in the context of medical forms, is presented. The ultimate goals are (i) the recognition of medical handwriting, and (ii) the use of such information for a medical form search engine. Medical forms have diverse, complex and large lexicons consisting of English, Medical and Pharmacol...

User Adaptive Image Ranking for Search Engines

In the past few years, user adaptive information retrieval has received increased attention. Most of the work has focused on eliciting user’s preferences using query histories, demographics and click-through rates. Although such approaches might improve the search results in some cases, they do not address the full problem. Moreover, users might change their goals rapidly and therefore cause re...