A survey on search results diversification techniques

Adnan Abid, Naveed Hussain, Kamran Abid, Farooq Ahmad, Muhammad Shoaib Farooq, Uzma Farooq, Sher Afzal Khan, Yaser Daanial Khan, Muhammad Azhar Naeem, Nabeel Sabir
2015 Neural computing & applications (Print)  
Keyword search generally used to search large amount of data. There are certain difficulties occurred to answer some queries due to their ambiguity. Also due to short and uncertain keywords diversification of keyword creates a problem. We proposed a system to address these problems. Our system automatically expands keyword search. It is based on different context information of the XML data. Our system firstly selects a feature selection model for designing an effective XML keyword search from
more » ... large database. Then it will automatically diversify the keyword search. For searching keyword from XML data a short and vague keyword query is used. Feature selection model is used to derive search candidate of the query search. Our proposed model proves the effectiveness of our system by evaluating real as well as synthetic datasets. In this system more efficiency can be achieved as we proposed pruning algorithm and Hadoop platform for implementation of our system.
doi:10.1007/s00521-015-1945-5 fatcat:a2hd7x4kcfhktimz4p2ascnvpq