Browsing Bilgisayar Mühendisliği Bölümü by Issue Date
Now showing items 21-27 of 27
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InncreaWatch
(27.05.2023)Laboratuvar analizlerinde kullanılan en önemli reaktiflerden bir tanesi saflaştırılmış (utra-saf) su'dur. Bu cihazlarının birincil sarf maddesi olan ultra saf suyun kalitesi, gerçekleştirilen laboratuvar analizin doğruluğuna ... -
Binary multicriteria collaborative filtering
(Scientific and technological research council of turkey, 30.11.2020)Collaborative filtering is specialized in suggesting appropriate products and services to the users concerning personal characteristics and past preferences without requiring any effort of users. It might be more efficient ... -
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 ... -
A novel classification‐based shilling attack detection approach for multi‐criteria recommender systems
(Wiley, Mayıs, 202)Recommender systems are emerging techniques guiding individuals with provided referrals by considering their past rating behaviors. By collecting multi-criteria preferences concentrating on distinguishing perspectives of ... -
The Unfairness of Collaborative Filtering Algorithms’ Bias Towards Blockbuster Items
(Ocak, 2023)It is known that collaborative filtering recommendation algorithms are usually biased towards some particular items (e.g., popular) in their produced ranked lists. In this study, we evaluate this problem from the perspective ... -
Robustness of privacy-preserving collaborative recommenders against popularity bias problem
(PeerJ, Temmuz, 20)Recommender systems have become increasingly important in today’s digital age, but they are not without their challenges. One of the most significant challenges is that users are not always willing to share their preferences ... -
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 ...