Browsing Undergraduate Research Scholars Capstone (2006–present) by Author "Caverlee, James"
Now showing items 1-13 of 13
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Gu, TianyuAs the volume of online information increases, recommender systems have been an effective strategy to overcome information overload by giving selective recommendations based on certain criteria such as user ratings and ...
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Villanueva, Nathan TThis thesis covers my efforts at researching the factors that lead to a research paper being cited by Wikipedia. Wikipedia is one of the most popular websites on the internet for quickly learning about a specific topic. ...
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Wei, Victoria; Nguyen, KevinItem recommendation is an increasingly important research topic that focuses on analyzing the relationships between products to recommend items to users based on their preferences or previous activity. These systems are ...
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Levinson, Benjamin JosephUser reviews are a widespread across the Internet as an indicator of the quality of a product. However, review systems can be vulnerable to attack. Malicious parties can manipulate the ratings of items by soliciting fake ...
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Lee, RonaldAuxiliary Task Learning has proven to be an effective way to transfer knowledge between tasks. This is the case in many personalized recommendation scenarios, where many auxiliary tasks can boost the performance of the ...
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Rao, Akash RSocial media has grown to become a fundamental part of our lives over the past two decades and with its growth, the misuse of the platform for extremist purposes has become common. The wide reach of social media has allowed ...
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Ali, Nazif (2017-05-01)Modeling human behavior over social media can provide valuable insights into crowd behavior. It can be used as sensory data to understand and predict how crowds react to a certain local or international event. This can ...
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Kohli, DivaRecommender systems have become increasingly prevalent online within the last two decades and are used extensively on social media and networking platforms. We look at one such platform, LinkedIn, which serves the purpose ...
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It's a Jungle Out There: Filtering High Quality Reviews From Amazon Using Attention-Based Modeling Innis, Jonathan EdwardToday, a large amount of misinformation proliferates on the internet, including online review websites. Because of the prevalence of fake or unknowledgeable reviewers, there is a need for new models to order and filter ...
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Mathavan, ShriLarge language models (e.g. BERT, GPT) are increasingly being integrated into critical fields like healthcare. Current machine learning applications have been used for patient diagnoses, monitoring and predicting trial ...
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Patel, SagarSince the rise of digital multimedia in our present age, when looking for an image that closely matches their needs and preferences, the number of images a user must sort through has become more and more unmanageable. Even ...
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Sebastian, Jack MichaelWith the emergence of cryptocurrencies and blockchain technology, the paradigm of the structure of data storing and distribution has completely changed. And while the central goal of Bitcoin's 2008 whitepaper was to create ...
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Im, Charles JThere are millions of users using applications where content creators (curators) create items or content for the users to consume. With users spending more and more time on these platforms, personalized recommendations ...