Computing Reviews
Today's Issue Hot Topics Search Browse Recommended My Account Log In
Review Help
Automated expertise retrieval: a taxonomy-based survey and open issues
Gonçalves R., Dorneles C.  ACM Computing Surveys 52 (5): 1-30, 2019. Type: Article
Date Reviewed: Aug 31 2021

Due to the rigorous advancement in skill sets through knowledge enhancement, multiple methods of sharing the required skills can challenge industries that are looking for the “right fit.” At the same time, the storage of information in the paperback version is becoming restrained, therefore leading to the transfer of information through the Internet, database services, and social media. Manually analyzing expertise linked to data and information could be a daunting job, hence demands for an automated approach.

In this detailed survey, the authors focus on the structure of the automated expertise retrieval process. Readers are also introduced to a faceted taxonomy where several existing methodologies are considered and classified into various approaches and classifications. Section 1, “Introduction,” is very well written in a simplified tone, to keep the reader’s attention. The survey includes reviews of existing work done in similar areas. The proposed faceted taxonomy in section 2 serves as a guide and introduces new issues for discussion. Taxonomy facets in tabular form present the general picture before diving into the details of each component in sections 3 through 6, making the flow very clear for readers.

Extensive comparison is made between “a selected set of works related to expertise retrieval” in section 7. The study covers 26 related works and includes the most recent and/or relevant ones. Finally, section 8 highlights open issues, discussion, and suggestions.

This article clearly identifies a platform and recommendations for future studies in the field. Its comprehensive list of references depicts the extensive study already performed by the authors. I would recommend it to data scientists involved in expertise retrieval system design.

Reviewer:  Brijendra Singh Review #: CR147344 (2112-0290)
Bookmark and Share
General (H.0 )
Information Search And Retrieval (H.3.3 )
Would you recommend this review?
Other reviews under "General": Date
Incorporating system-level objectives into recommender systems
Abdollahpouri H.  WWW 2019 (Companion Proceedings of the 2019 World Wide Web Conference, San Francisco, CA,  May 13-17, 2019) 2-6, 2019. Type: Proceedings
Jan 20 2022
Integrating runtime data with development data to monitor external quality: challenges from practice
Aghabayli A., Pfahl D., Martínez-Fernández S., Trendowicz A.  SQUADE 2019 (Proceedings of the 2nd ACM SIGSOFT International Workshop on Software Qualities and Their Dependencies, Tallinn, Estonia,  Aug 26, 2019) 20-26, 2019. Type: Proceedings
Jan 18 2022
Distributed joins and data placement for minimal network traffic
Polychroniou O., Zhang W., Ross K.  ACM Transactions on Database Systems 43(3): 1-45, 2018. Type: Article
Jan 13 2022

E-Mail This Printer-Friendly
Send Your Comments
Contact Us
Reproduction in whole or in part without permission is prohibited.   Copyright © 2000-2022 ThinkLoud, Inc.
Terms of Use
| Privacy Policy