ScratchR, a user generated content management platform, was developed by the Lifelong Kindergarten group at the MIT Media Lab. ScratchR lets users share projects developed with the Scratch programming language. This thesis involves technical improvements made to ScratchR from August 2007 to August 2008. Improvements include the addition of a comment reply system, the improvement of the gallery ...

Online user-generated content in various social media websites, such as consumer experiences, user feedback, and product reviews, has increasingly become the primary information source for both consumers and businesses. In this study, we aim to look beyond the quantitative summary and unidimensional interpretation of online user reviews to provide a more comprehensive view of online user-genera...

context: detection of causative pathogen is crucial for treatment strategies in most infections. molecular diagnosis as a more sensitive and specific method, has become the best option to investigate certain pathogens, mainly viruses. recent scientific and technological approaches resulted in changing the area of diagnostic microbiology. evidence acquisition: a comprehensive online search of da...

To help in decision making, buyers in online shopping tend to go through each product features, functionalities, etc. provided by vendors and reviews made by other users, which is not an effective way when confronting loaded of information and especially if the buyers are beginner users who have limited experience and knowledge. To deal with these problems, we propose a framework of purpose-ori...

There are many recommendation systems available for problems like shopping, online video entertainment, games etc. Restaurants & Dining is one area where there is a big opportunity to recommend dining options to users based on their preferences as well as historical data. Yelp is a very good source of such data with not only restaurant reviews, but also user-level information on their preferred...

Sentiment analysis and opinion mining are valuable for extraction of useful subjective information out of text documents. These tasks have become of great importance, especially for business and marketing professionals, since online posted products and services reviews impact markets and consumers shifts. This work is motivated by the fact that automating retrieval and detection of sentiments e...

Purpose – The purpose of this paper is to propose a model to test whether the combined effects of valence and objectivity/subjectivity of online review have an effect on consumer judgment and whether e-WOM platforms have a moderating effect. Design/methodology/approach – In total, 480 respondents participated in online experiments with a four (positive+objective, positive+subjective, negative+o...

This paper deals with the problem of user-server assignment in online social network systems. Online social network applications such as Facebook, Twitter, or Instagram are built on an infrastructure of servers that enables them to communicate with each other. A key factor that determines the facility of communication between the users and the servers is the Expected Transmission Time (ETT). A ...

Providing banking services, especially online banking and electronic payment systems, has always been associated with high concerns about security risks. In this paper, customer authentication for their transactions in electronic banking has been discussed, and a more appropriate way of using biometric fingerprint data, as well as encrypting those data in a different way, has been suggest...