Öğrenciler
EMRE YALÇIN
İSMAİL TERZİ
ALPER YARGIÇ
SELCAN KAPLAN BERKAYA
CHARLY C. ONAMBELE
ÖZGÜR OZAN YILMAZ
ÖMER SÖNMEZ
TAYFUN ADAR
ADEM ÖZTÜRK
ALPEREN MEHMET YILMAZ
BEKİR PARLAK
MEHMET BİLGİLİOĞLU
İSMAİL YENİLMEZ
SALİH ŞEN
SEREL ÖZMEN
EMRAH DEMİR
ZÜHAL KURT
SABRİ EREN ERMAĞAN
SERCAN AYGÜN
SAVAŞ OKYAY
TUĞBA TÜRKOĞLU
HAKAN ÜÇGÜN
EMRE ÇİMEN
VEDAT BALCI
ERİNÇ EVRİM İMAN
ALİ YÜREKLİ
EMRULLAH SONTEKİN
CEM MORKOÇ
BURAK MAĞDEN
ÖZGE KURUL
HALİL ZEYBEK
Grup
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4
5
5
5
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6
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7
7
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11
Tarih
16 Ekim
23 Ekim
30 Ekim
12 Kasım
19 Kasım
26 Kasım
3 Aralık
17 Aralık
24 Aralık
31 Aralık
7 Ocak
Makaleler
Privacy-Preserving Collaborative Filtering using Randomized Perturbation Techniques
Providing Private Recommendations Using Naive Bayesian Classifier
Accuracy Improvements for Multi-criteria Recommender Systems
New Recommendation Techniques for Multicriteria Rating Systems
Applying Multicriteria Algorithms to Restaurant Recommendation
Limited Knowledge Shilling Attacks in Collaborative Filtering Systems
Privacy, Shilling, and The Value of Information in Recommender Systems
Shilling Recommender Systems for Fun and Profit
Classification Features for Attack Detection in Collaborative Recommender Systems
Detection of Shilling Attacks in Collaborative Filtering Recommender Systems
Statistical Attack Detection.
Improving collaborative filtering-based recommender systems results using Pareto dominance
A new user similarity model to improve the accuracy of collaborative filtering
An entropy-based neighbor selection approach for collaborative filtering
Trust-Based Collaborative Filtering
Social knowledge-based recommender system. Application to the movies domain
A User Trust-Based Collaborative Filtering Recommendation Algorithm
Privacy-preserving SOM-based recommendations on horizontally distributed data
Arbitrarily distributed data-based recommendations with privacy
PRIVACY-PRESERVING RANDOM PROJECTION-BASED RECOMMENDATIONS BASED ON DISTRIBUTED DATA
Scalable collaborative filtering using cluster-based smoothing
A scalable privacy-preserving recommendation scheme via bisecting k-means clustering
The collaborative filtering recommendation based on SOM cluster-indexing CBR
Collaborative user modeling with user-generated tags for social recommender systems
Privacy-Preserving Enhanced Collaborative Tagging
A recommender system based on tag and time information for social tagging systems
A Regularity-Based Preprocessing Method for Collaborative Recommender Systems
Detecting noise in recommender system databases
Users and Noise_The Magic Barrier of Recommender Systems
Collaboratively Shared Information Retrieval Model for e-Learning
Data Warehouse Technology for E-Learning
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