Hybrid intelligent trail to search engine answering machine: Squat appraisal on pedestal technology (hybrid search machine)

摘要

Arched type Swing in loom of information retrieval system is observed with record progression to information fetch, to knowledge data processing, to intelligent information progression. Subsequent processing machines like document retrieval, text summarization, search engines, rule based machines, expert systems have been developed. These machines have dedicated performance with retrieval measure in particular dimension. Machine learning methods have facilitated reasoning machine with ability like humans. Still a corner in research argues highly intelligent time constraint fact seeking real world information processing machine. Hybrid technology is integration of optimized approaches at various levels of information processing. We proposed a hybrid search answer machine with four techniques of optimization “question reformulation” (from user-intent, profile), “search method” (semantic concept, context, machine learning), “answer presentation” (ranking algorithm), “decision support ” (comparative analysis to choose best techniques to retrieve results). Data corpus is heart of any IR system large dataset facilitates good search which argue to distributed data and computing. Intelligence is reformation proceeds that excel our time and dataset. The machine is designed to facilitated updatable training dataset for fact seeking knowledge acquirement “it trains over data”. Muti-agent model distributed search methodology is proposed. In precise Hybrid extraction of “hybrid models” is performed. Semantic context (concept based) user profiled; best machine learning, decision supportive multiagent distributed search system is proposed. This paper gives underlying technologies overview, with examinations of 30 papers is done as with recent review of technology advancement. The review outcomes are orderly placed with 3 research query answering. The outputs of query structure a trail - o search engine answering machine. We facilitate research done by scholars on technology perspective we integrate them to draw a sketch of hybrid search answering. In domain “a point of reference” concepts of research are studied, with comparative views on advance in IR. We identify the benchmark of research methods blueprint and explore space of research in area of intelligent machine implementation.