نتایج جستجو برای: users preferences and perceptions

تعداد نتایج: 16856960  

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه اصفهان 1389

implicit and unobserved errors and vulnerabilities issues usually arise in cryptographic protocols and especially in authentication protocols. this may enable an attacker to make serious damages to the desired system, such as having the access to or changing secret documents, interfering in bank transactions, having access to users’ accounts, or may be having the control all over the syste...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه علامه طباطبایی - دانشکده ادبیات و زبانهای خارجی 1392

while performance-based language assessment has led to an increased authenticity and content validity in the practice of writing assessment, the reliability of ratings has become a major issue. research findings have shown different reactions by native english speaker (nes) and non-native english speaker (nns) teachers to students’ writings. the focus of this study is on investigating whether i...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه فردوسی مشهد - دانشکده ادبیات و علوم انسانی دکتر علی شریعتی 1393

this study aimed at examining the effects of iranian efl learners’ anxiety, ambiguity tolerance, and gender on their preferences for corrective feedback (cf, henceforth). the effects were sought with regard to the necessity, frequency, and timing of cf, types of errors that need to be treated, types of cf, and choice of correctors. seventy-five iranian efl students, twenty-eight males and forty...

2007
Kevin J. Krizek

Ridership is a key goal in the transit industry. Conventional transit analysis focuses on two types of users—captive and choice riders—but rarely aims to understand the preferences of non-transit riders. This research aims to better understand habits and preferences—for both users and non-users of the transit system—as they relate to the transit market in the Twin Cities metropolitan area. Our ...

Journal: :Inf. Sci. 2012
Luis Martínez-López Francisco Herrera

Article history: Received 25 July 2011 Received in revised form 5 March 2012 Accepted 10 April 2012 Available online 27 April 2012

2010
Sabine Schneider Francesco Ricci Adriano Venturini Elena Not

Designing effective and efficient user interfaces for supporting complex tasks on mobile devices remains an intriguing problem. The rapidly evolving hardware and software mobile environments are complicating the design of elaborated applications like travel planning. Allowing mobile users to review their travel-plan information while travelling has been addressed by a recent R&D project. In ord...

Journal: :BJET 2003
George Ghinea Sherry Y. Chen

Multimedia technology has been widely used in the delivery of instructional material, but previous studies have indicated that individual differences, especially cognitive styles, have significant effects on users’ preferences with respect to presentation of multimedia content. However, such research has thus far neglected to examine the effect of cognitive styles on users’ subjective perceptio...

Purpose: In this research, we want to know whether elements such as interior design, coloration of input spaces, circulation, study hall and the reference section are satisfactory in the view of public library users of Yazd city (Iran) or not and to survey levels of satisfaction. Methodology: This is a survey research project that uses a researcher-made questionnaire. The research population i...

Journal: :journal of advances in computer research 2014
fatemeh shomalnasab mehdi sadeghzadeh mansour esmaeilpour

recommender systems (rs) provide personalized recommendation according to user need by analyzing behavior of users and gathering their information. one of the algorithms used in recommender systems is user-based collaborative filtering (cf) method. the idea is that if users have similar preferences in the past, they will probably have similar preferences in the future. the important part of col...

1999
Raymond J. Mooney Loriene Roy

Recommender systems improve access to relevant products and information by making personalized suggestions based on previous examples of a user's likes and dislikes. Most existing recommender systems use social ltering methods that base recommendations on other users' preferences. By contrast , content-based methods use information about an item itself to make suggestions. This approach has the...

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