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Novel automatic group identification approaches for group recommendation
(Elsevier, 2021)
Group recommender systems are specialized in suggesting preferable products or services to a group of users rather than an individual by aggregating personal preferences of group members. In such expert systems, the initial ...
New Developer Metrics for Open Source Software Development Challenges: An Empirical Study of Project Recommendation Systems
(MDPI, 20.01.2021)
Software collaboration platforms where millions of developers from diverse locations can contribute to the common open source projects have recently become popular. On these platforms, various information is obtained from ...
A multiclass hybrid approach to estimating software vulnerability vectors and severity score
(Elsevier, 2021)
Classifying detected software vulnerabilities is an important process. However, the metric values of security vectors are manually determined by humans, which takes time and may introduce errors stemming from human nature. ...
IESR: Instant Energy Scheduling Recommendations for Cost Saving in Smart Homes
(IEEE, 10.05.2022)
The exponential increase in energy demands continuously causes high price energy tariffs for domestic and commercial consumers. To overcome this problem, researchers strive to discover effective ways to reduce peak-hour ...
Evaluating unfairness of popularity bias in recommender systems: A comprehensive user-centric analysis
(Elsevier, 2022)
The popularity bias problem is one of the most prominent challenges of recommender systems,
i.e., while a few heavily rated items receive much attention in presented recommendation
lists, less popular ones are underrepresented ...
Exploring potential biases towards blockbuster items in ranking-based recommendations
(Springer, 2022)
Popularity bias is defined as the intrinsic tendency of recommendation algorithms to feature popular items more than unpopular ones in the ranked lists lists they produced. When investigating the adverse effects of popularity ...
End to End Invoice Processing Application Based on Key Fields Extraction
(IEEE, 2022)
In this paper, an automatic invoice processing system, which is in great demand among private and public companies, was proposed. The proposed system supports all invoice file types that can be submitted by companies. ...
Aggregating user preferences in group recommender systems: A crowdsourcing approach
(Elsevier, 2022)
We present that group recommendations are similar to crowdsourcing, where the responses of different crowd workers are aggregated in the absence of ground truth. With this in mind, we mimic the use of the EM algorithm as ...
Popularity bias in personality perspective: An analysis of how personality traits expose individuals to the unfair recommendation
(Wiley, Şubat, 202)
Recommender systems are subject to well-known popularity bias issues, that is, they expose frequently rated items more in recommendation lists than less-rated ones. Such a problem could also have varying effects on users ...
A survey of smart home energy conservation techniques
(Elsevier, Mart, 2023)
Smart homes are equipped with easy-to-interact interfaces, providing a more comfortable living environment and less energy consumption. There are currently satisfactory approaches proposed to deliver adequate comfort and ...