Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 10 of 10 for “"Recommendation Model"”.
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The integration of machine translation and translation memory
We design and evaluate several models for integrating Machine Translation (MT) output into a Translation Memory (TM) environment to facilitate the adoption of MT technology in the localization industry. We begin with the integration on the segment level via translation recommendation and …
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K x N Trust-Based Agent Reputation
… multi-agent system called KMAS is presented that models an environment of intelligent, autonomous, rational, and adaptive agents that reason about trust, and adapt trust based on experience. Agents reason and adapt using a modification of the k-Nearest Neighbor algorithm called (k X n) Nearest …
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Personalized News Recommender using Twitter
… our research on developing personalized news recommendation system with the help of a popular micro-blogging service "Twitter". The news articles are ranked based on the popularity of the article that is identified with the help of the tweets from the Twitter's public timeline. Also, user …
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Bedeutung und Rolle des Einkaufs bei mittelgrossen Schweizer Unternehmen. Qualitative Untersuchung der Herausforderungen und Aufgaben
… A thorough study of available literature and the recommendations derived from it are presented in a theoretical positioning model. This is followed by an empirical survey in the form of twelve expert interviews with purchasing directors, CPOs and CEOs. All interviewees work in senior positions at …
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Leveraging heterogeneous information networks for personalized entity recommendation
Recommendation is a challenging but important task which has applications in nearly every sector of industry as well as in academia. There are a wide variety of approaches to the recommendation problem, with network-based techniques garnering increasing interest and study in recent years. However, …
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Toward a Resilient Public Transportation System: Effective Monitoring and Control under Service Disruptions
… service suspensions using a bulk-service queue model. We prove that under random suspensions, headways can be represented as the difference between two compound Poisson exponential variables. Assuming no vehicle overtaking, we approximate the headway as a zero-inflated truncated normal …
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Leveraging large language model embeddings to enhance diversity and mitigate the filter bubble effect in recommender systems
… strategies for the filter bubble by enhancing recommendation models using content-based embeddings produced by large language models (LLMs), which encode semantic information about items being recommended. The addition of semantic information — beyond the user interaction data that usually …
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Multi-triage: A Multi-Task Learning Approach to Bug Triaging
… and assignment tasks as a single task learning model and developed a multiple recommendation system. This dissertation aims at leveraging the bug triage process by adopting the multi-task learning approach. We developed a multi-triage model, a system for predicting developers and issue kinds for …
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Enhancing the Reliability of Real-World Evidence and Clinical Decision-Making: Robust, Calibrated, and Uncertainty-Aware Methods for Observational Healthcare Research
… encounter critical challenges, such as model misspecification, systematic biases, and uncertainties in predictions, potentially compromising the reliability and validity of generated evidence. Ensuring reliability is particularly vital for real-world decision-making, where trustworthy …
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Toward AI-Mediated Immersive Sensemaking with Gaze-Aware Semantic Interaction
… some of the cognitive work. Problem. How can we model an analyst's interest from their gaze so that an AI assistant guides foraging and supports synthesis while preserving analysts' agency over the layout? Specifically, we need methods that (a) predict perceived relevance at document and term …