Comprehensive Review and Future Research Directions on Dynamic Faceted Search

Mohammed Najah Mahdi,Abdul Rahim Ahmad,Mohammed Ahmed Subhi,Qais Saif Qassim,Hayder Natiq

doi:10.3390/app11178113

Mohammed Najah Mahdi, Abdul Rahim Ahmad + Show 3 more

Open Access

https://doi.org/10.3390/app11178113

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Abstract

In modern society, the increasing number of web search operations on various search engines has become ubiquitous due to the significant number of results presented to the users and the incompetent result-ranking mechanism in some domains, such as medical, law, and academia. As a result, the user is overwhelmed with a large number of misranked or uncategorized search results. One of the most promising technologies to reduce the number of results and provide desirable information to the users is dynamic faceted filters. Therefore, this paper extensively reviews related research articles published in IEEE Xplore, Web of Science, and the ACM digital library. As a result, a total of 170 related research papers were considered and organized into five categories. The main contribution of this paper is to provide a detailed analysis of the faceted search’s fundamental attributes, as well as to demonstrate the motivation from the usage, concerns, challenges, and recommendations to enhance the use of the faceted approach among web search service providers.

Highlights

Search Engines (SEs) have become some of the most necessary tools for Internet users
Faceted technologies: We focus on the fundamental idea of Faceted search (FS), which is to solicit and capture keywords supplied by a user from which to prune out branches of the hierarchy irrelevant to the user’s informational need
The fourth category included thirty-six articles focused on various techniques used to evaluate the different FS implementations

Summary

Introduction

Search Engines (SEs) have become some of the most necessary tools for Internet users. Exploratory search (ES) has a similar mechanism as SEs except that it further narrows down the search results using faceted classification. It has the potential to give a complete overview of a topic based on fewer queries [6,7]. Both SEs and ES have specific issues, such as the user’s poor vocabulary and search-result overload challenges [8]. Faceted search (FS) is considered as one of the ES techniques that aids users in exploring items of interest within such a vast data repository. FS has received significant attention from researchers in the last decade [11,12]

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