Solution for Information Overload Using Faceted Search–A Review

Abstract

In the modern society, Internet provides massive amounts of heterogeneous information, hence Information overload has become an ubiquitous issue. In this paper, we conduct a large scale quantitative study for articles dealing with (1) information overloading; (2) faceted search; and (3) filtering the data in three major databases, namely, Web of Science, ScienceDirect, and IEEE Explore. These three databases have presented 172 articles, which can be classified into four categories. The first category contains review and survey papers related to information overload. The second category includes papers that concentrate on developing theoretical frameworks to reduce information overloading. The third category contains papers dealing with improving structure or architectural of software for filtering the huge data. The fourth category includes papers that provide criteria to evaluate filtering techniques. Finally, our contribution provides further understanding of information overload, and gives an important basis for future research. Moreover, we illustrate that the dynamic faceted filters are more efficient to reduce the information overload.

Comprehensive Review and Future Research Directions on Dynamic Faceted Search

“…They also predicted the direction of advancements in the ES area depending on the social state of information search. The authors of [9,[33][34][35][36] studied the development of new decision support tools and explored the visual knowledge system. The main contribution of these studies was to find out how a system can achieve the intended enhancement based on the survey that was performed on the projects by using meta requirements.…”

“…The main challenges in adopting FS are classified according to their nature, presented in this section, and citations for further discussion are given. Although smart FS offers numerous benefits, the evaluation metrics demonstrate that these technologies are limited by information overload [9]. The surveyed works indicated that researchers are concerned about the challenges associated with information filtering and its use.…”

“…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. The FS technique provides relevant results with less user effort and reduces information overload [9,10]. Several conventional search filters could narrow down the search results; however, FS is more effective and highly flexible compared to conventional filters, especially with increased search complexity.…”

Improving the usability of faceted exploratory search tools

“…Generally, in order to achieve an efficient mechanism, three main elements should be considered and carefully designed, namely; information retrieval, information processing, and information presentation (Figure 1). All these three elements should be integrated in order to have a fully functional search engine [1], [2]. The first two elements have been covered in our previous publications [3].…”

HiveRel: hexagons visualization for relationship-based knowledge acquisition

“…Thus, faceted search Mahdi et al. ( 2020 ) allows narrowing results by certain aspects, by providing the distribution of values of certain attributes across the entire result set. In addition to presenting these distributions, the user can limit attributes to specific values, thus reducing the result set to only results that match all selected values Ben-Yitzhak et al.…”