Open AccessReview of Intent Diversity in Information Retrieval : Approaches, Models and Trends
Author(s) -
Muh. Mustakim,
Retantyo Wardoyo,
Khabib Mustofa
Publication year - 2018
Publication title -
jitecs (journal of information technology and computer science)
Language(s) - English
Resource type - Journals
eISSN - 2540-9824
pISSN - 2540-9433
DOI - 10.25126/jitecs.20183259
Subject(s) - computer science , information retrieval , diversity (politics) , process (computing) , data science , sociology , anthropology , operating system
The fast increasing volume of information databases made some difficulties for a user to find the information that they need. Its important for researchers to find the best method for challenging this problem. user intention detection can be used to increase the relevancies of information delivered from the information retrieval system. This research used a systematic mapping process to identify what area, approaches, and models that mostly used to detect user intention in information retrieval in four years later. the result of this research identified that item-based approach is still the most approach researched by researchers to identify intent diversity in information retrieval. The used of item-based approach still increasing from 2015 until 2017. 34% paper used topic models in their research. It means that Topic models still the necessary models explored by the researchers in this study.