scholarly journals Recruitment Search Engines for Screening Resumes through AI by Using Boolean Search Functions

2021 ◽  
Vol 7 (2) ◽  
pp. 16-26
Author(s):  
Sunaina Arora ◽  
Neeraj Kumari
Keyword(s):  
Artificial Intelligence ◽  
Human Computer Interaction ◽  
Human Resource ◽  
Search Engine ◽  
Search Algorithms ◽  
Database Access ◽  
Search Results ◽  
Search Tool ◽  
Boolean Search ◽  
The Right

The days are gone when hard copies of resumes were sent to recruiters and they used to screen and set aside non relevant resumes. Artificial Intelligence has taken up mundane tasks of recruiters by simplifying search algorithms and human computer interaction. Job Boards provide recruiters with a database of candidates powered by a search tool with lot of filters. The demonstration paper actually carries out searches on recruitment database access tools to filter the relevant applicants from a wide pool of data with the help of search engine tools in resume databases of various jobboards. It shows how Boolean operators get through better search results in few minutes. Recruiter job to get to the right candidate is sorted out with Artificial Intelligence so that they can focus more on strategic tasks. Future of AI in recruitment is immense. Already companies are empowering recruiters with 360 degree tools which help with all Human Resource Aspects.

scholarly journals Tool for filtering PubMed search results by sample size

2018 ◽  
Vol 25 (7) ◽  
pp. 774-779
Author(s):  
Carlos Baladrón ◽  
Alejandro Santos-Lozano ◽  
Javier M Aguiar ◽  
Alejandro Lucia ◽  
Juan Martín-Hernández
Keyword(s):  
Clinical Trials ◽  
Sample Size ◽  
Search Engine ◽  
Sample Sizes ◽  
Search Results ◽  
Estimate Sample Size ◽  
Search Tool ◽  
Pubmed Search ◽  
Meta Analyses ◽  
Validation Tests

Abstract Objective The most used search engine for scientific literature, PubMed, provides tools to filter results by several fields. When searching for reports on clinical trials, sample size can be among the most important factors to consider. However, PubMed does not currently provide any means of filtering search results by sample size. Such a filtering tool would be useful in a variety of situations, including meta-analyses or state-of-the-art analyses to support experimental therapies. In this work, a tool was developed to filter articles identified by PubMed based on their reported sample sizes. Materials and Methods A search engine was designed to send queries to PubMed, retrieve results, and compute estimates of reported sample sizes using a combination of syntactical and machine learning methods. The sample size search tool is publicly available for download at http://ihealth.uemc.es. Its accuracy was assessed against a manually annotated database of 750 random clinical trials returned by PubMed. Results Validation tests show that the sample size search tool is able to accurately (1) estimate sample size for 70% of abstracts and (2) classify 85% of abstracts into sample size quartiles. Conclusions The proposed tool was validated as useful for advanced PubMed searches of clinical trials when the user is interested in identifying trials of a given sample size.

Google Spain v. González: Did the Court Forget about Freedom of Expression?

2014 ◽  
Vol 5 (3) ◽  
pp. 389-398 ◽  
Author(s):  
Stefan Kulk ◽  
Frederik Zuiderveen Borgesius
Keyword(s):  
Search Engine ◽  
Freedom Of Expression ◽  
The European Union ◽  
High Court ◽  
Search Results ◽  
Doing Business ◽  
Court Of Justice ◽  
Data Protection Directive ◽  
Job Application ◽  
The Right

When reviewing a job application letter, going on a first date, or considering doing business with someone, the first thing many people do is entering the person's name in a search engine. A search engine can point searchers to information that would otherwise have remained obscure. If somebody searched for the name of Spanish lawyer Mario Costeja González, Google showed search results that included a link to a 1998 newspaper announcement implying he had financial troubles at the time. González wanted Google to stop showing those links and started a procedure in Spain. After some legal wrangling, the Spanish Audiencia Nacional (National High Court) asked the Court of Justice of the European Union (CJEU) for advice on the application of the Data Protection Directive, which led to the controversial judgment in Google Spain. In its judgment, the CJEU holds that people, under certain conditions, have the right to have search results for their name delisted. This right can also extend to lawfully published information.

scholarly journals WORK IN PROGRESS: THE EUROPEAN "RIGHT TO BE FORGOTTEN" – LEGAL AND TECHNICAL CHALLENGES OF SEARCH ENGINES COMPLYING THE RIGHT TO ERASURE

2019 ◽  
Vol 2019 ◽  
Author(s):  
Jan Rensinghoff ◽  
Florian Marius Farke ◽  
Markus Dürmuth ◽  
Tobias Gostomzyk
Keyword(s):  
Search Engine ◽  
Search Engines ◽  
Personal Data ◽  
General Data Protection Regulation ◽  
Work In Progress ◽  
Search Results ◽  
Search Result ◽  
Right To Be Forgotten ◽  
The One ◽  
The Right

The new European right to be forgotten (Art. 17 of the European General Data Protection Regulation (GDPR) grants EU citizens the right to demand the erasure of their personal data from anyone who processes their personal data. To enforce this right to erasure may be a problem for many of those data processors. On the one hand, they need to examine any claim to remove search results. On the other hand, they have to balance conflicting rights in order to prevent over-blocking and the accusation of censorship. The paper examines the criteria which are potentially involved in the decision-making process of search engines when it comes to the right to erasure. We present an approach helping search engine operators and individuals to assess and decide whether search results may have to be deleted or not. Our goal is to make this process more transparent and consistent, providing more legal certainty for both the search engine operator and the person concerned by the search result in question. As a result, we develop a model to estimate the chances of success to delete a particular search result for a given person. This is a work in progress.

Rancangan Sistem Pengukuran Kinerja Berbasis Human Resource Scorecard Pada Universitas Muhammadiyah Luwuk

2020 ◽  
Vol 10 (1) ◽  
pp. 63-71
Author(s):  
Nurhaeda Abbas ◽  
Anggraini Sukmawati ◽  
Muhammad Syamsun
Keyword(s):  
Performance Measurement ◽  
Human Resource ◽  
Performance Measurement System ◽  
Group Discussions ◽  
Strategic Objectives ◽  
Depth Interview ◽  
And Performance ◽  
The Right ◽  
Hierarchy Process ◽  
The Relationship

Today the performance measurement of Muhammadiyah Luwuk uUniversity’s performance has not formulated yet based on University’s vision and mission. It will affect the strategic steps needed and performance improvement efforts in the future.  Human resource scorecard is the right system to be applied in Muhammadiyah Luwuk University. The purpose of this study is to designed a performance measurement system at Muhammadiyah Luwuk University using the Human Resource Scorecard with four perspectives: stakeholder, academic management and kemuhammadiyaan, operational and innovation, as well as and learning. Data was analyzed by analytical hierarchy process method. This research was conducted by distributing questionnaires, focus group discussions and in-depth interview with stakeholders at Muhammadiyah Luwuk University. The results showed that there were 14 strategic objectives and 33 key performance indicators to be achieved by the priority objectives, which are: empowerment and development of faculty, increased administrative process quality, improved sound budget performance and, improvement of the relationship with stakeholders.

scholarly journals Using the Google™ Search Engine for Health Information: Is There a Problem? Case Study: Supplements for Cancer

2021 ◽  
Vol 5 (2) ◽  
Author(s):  
Hannah C Cai ◽  
Leanne E King ◽  
Johanna T Dwyer
Keyword(s):  
Health Information ◽  
Search Engine ◽  
Information Quality ◽  
Nutrition Information ◽  
High Quality ◽  
Search Results ◽  
Health And Nutrition ◽  
Quality Rating

ABSTRACT We assessed the quality of online health and nutrition information using a Google™ search on “supplements for cancer”. Search results were scored using the Health Information Quality Index (HIQI), a quality-rating tool consisting of 12 objective criteria related to website domain, lack of commercial aspects, and authoritative nature of the health and nutrition information provided. Possible scores ranged from 0 (lowest) to 12 (“perfect” or highest quality). After eliminating irrelevant results, the remaining 160 search results had median and mean scores of 8. One-quarter of the results were of high quality (score of 10–12). There was no correlation between high-quality scores and early appearance in the sequence of search results, where results are presumably more visible. Also, 496 advertisements, over twice the number of search results, appeared. We conclude that the Google™ search engine may have shortcomings when used to obtain information on dietary supplements and cancer.

scholarly journals The Matter of Chance: Auditing Web Search Results Related to the 2020 U.S. Presidential Primary Elections Across Six Search Engines

2021 ◽  
pp. 089443932110068
Author(s):  
Aleksandra Urman ◽  
Mykola Makhortykh ◽  
Roberto Ulloa
Keyword(s):  
Search Engine ◽  
Search Engines ◽  
Large Scale ◽  
Web Search ◽  
Primary Elections ◽  
Virtual Agents ◽  
Search Results ◽  
Presidential Primary ◽  
Large Scale Analysis ◽  
Algorithmic Information

We examine how six search engines filter and rank information in relation to the queries on the U.S. 2020 presidential primary elections under the default—that is nonpersonalized—conditions. For that, we utilize an algorithmic auditing methodology that uses virtual agents to conduct large-scale analysis of algorithmic information curation in a controlled environment. Specifically, we look at the text search results for “us elections,” “donald trump,” “joe biden,” “bernie sanders” queries on Google, Baidu, Bing, DuckDuckGo, Yahoo, and Yandex, during the 2020 primaries. Our findings indicate substantial differences in the search results between search engines and multiple discrepancies within the results generated for different agents using the same search engine. It highlights that whether users see certain information is decided by chance due to the inherent randomization of search results. We also find that some search engines prioritize different categories of information sources with respect to specific candidates. These observations demonstrate that algorithmic curation of political information can create information inequalities between the search engine users even under nonpersonalized conditions. Such inequalities are particularly troubling considering that search results are highly trusted by the public and can shift the opinions of undecided voters as demonstrated by previous research.

“There is Nothing New in Cyberspace” a Motion for Debate

1992 ◽  
Vol 36 (14) ◽  
pp. 1049-1049 ◽  
Author(s):  
Maxwell J. Wells
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Virtual Reality ◽  
Human Computer Interaction ◽  
Cold Fusion ◽  
Major Advance ◽  
Junk Bonds ◽  
Exciting Development ◽  
Computer Interaction ◽  
The Way

Cyberspace is the environment created during the experience of virtual reality. Therefore, to assert that there is nothing new in cyberspace alludes to there being nothing new about virtual reality. Is this assertion correct? Is virtual reality an exciting development in human-computer interaction, or is it simply another example of effective simulation? Does current media interest herald a major advance in information technology, or will virtual reality go the way of artificial intelligence, cold fusion and junk bonds? Is virtual reality the best thing since sliced bread, or is it last week's buns in a new wrapper?

Natural-Language-based Generation of Search Results in a Meaning-based Multilingual Search Engine

2006 ◽  
Vol 23 (5) ◽  
pp. 313-319
Author(s):  
Yogesh P Awate ◽  
Jagger Bodas ◽  
Sachin Deshpande ◽  
Pushpak Bhattacharyya
Keyword(s):  
Natural Language ◽  
Search Engine ◽  
Search Results
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