A CONTEXT-BASED PHRASAL QUERY MODEL TO PREVENT AMBIGUITY

Abstract

While information retrieval, diversification of keyword search is recognized as at subject otherwise document level however it's not constantly easy to get constructive query logs. The broadened leads to information retrieval are modelled at document levels. Diversifying results concerning retrieval of document were introduced and the majority of the techniques will execute diversification like a publish processing stage of document retrieval process. Within our work we create a manner of supplying different suggestions of keyword query towards customers that derive from specified key phrases in data to become looked. By way of this customers might prefer their selected queries on foundation of came back suggestions of diverse query. Our work proposes a technique that grows keyword search that's based on various contexts within the data and it has introduced three efficient calculations that are based on observed qualities of outcomes of keyword search. We recommend set up a baseline formula for recovery from the outcomes of diversified keyword search and 2 anchor-based pruning solutions are thought to obtain better effectiveness of keyword search diversification by way of utilizing intermediate results.