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.
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Showing 1 to 20 of 1854 for “"Recommendation"”.
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Interpretable local citation recommendation
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-09-16 without embargo terms
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Adaptive music recommendation system
… and implementation of the MusicPlanner - a music recommendation application that utilizes a goal-oriented framework to recommend and play music. Goal-oriented programming approaches problems by modeling them using Goals, Techniques, and a Planner. The Goals are representations of a user's intent, …
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Learning embeddings for fashion recommendation
… approach to solve this problem, and perform recommendation based on product-closeness to the given clothing item. We perform this by first decomposing the notion of product-closeness into two inter-related notions of product similarity and product compatibility. Then, we incorporate product …
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Automating data visualization through recommendation
Demand for data visualization has exploded in recent years with the increasing availability and use of data across domains. Traditional visualization techniques require users to manually specify visual encodings of data through code or clicks. While manual specification is necessary to create …
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Content based recommendation system & android application
Rising of the recommendation systems has come into markets which gives the suggestions to users. A recommendation system is a type of information filtering system that attempts to forecast a user need or we can say preference for an item. Although every application serves a unique function, not …
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Encouraging Inactive Users towards Effective Recommendation
… in providing their opinions on items for recommendation processes to be possible or effective. The current state of the users will lead to a cold-start problem where the recommender system will be unable to find accurate preference information of the users for a recommendation of new items …
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Group representation learning for group recommendation
… a team, a corporation, etc.). Existing group recommendation methods mostly learn group members' individual preferences and then aggregate them into a group preference. This thesis takes a different approach. We focus on making recommendations for a new group of users whose preferences are …
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Assisting bug report triage through recommendation
A key collaborative hub for many software development projects is the issue tracking system, or bug repository. The use of a bug repository can improve the software development process in a number of ways including allowing developers who are geographically distributed to communicate about project …
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Social information filtering for music recommendation
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 1994
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Optimal staffing recommendation for inbound operations
Amazon inbound operations are staffed following a 'staffing-to-charge' model in which labor is planned to match the incoming volume capacity required by the weekly Sales Operations Planning (S&OP) forecast. Staffing-to-charge is a lean model of staffing that attempts to maximize labor utilization …
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Web mining techniques for recommendation and personalization
… with more personalized Web contents, i.e. Web recommendation. For analysing Web user behaviour, we first establish a mathematical framework, called the usage data analysis model, to characterise the observed co-occurrence of Web log files. In this mathematical model, the relationships between …
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Personalized government online services with recommendation techniques
… emerge. However, existing personalization with recommendation techniques focuses on text document retrieval and e-commerce product recommendation domain. Personalization and recommendation applications in e-government have paid relatively little research attention. Many mechanisms have been …
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Knowledge driven approaches to e-learning recommendation.
… gaps that learners face during an e-Learning recommendation task. The semantic gap is addressed by introducing a method that automatically creates background knowledge in the form of a set of rich learning-focused concepts related to the selected learning domain. The knowledge of teaching …
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Mantis: A Predictive Driving Directions Recommendation System
<p>This thesis presents Mantis, a system designed to evaluate possible driving routes and recommend the optimal route based on current and predicted travel conditions. The system uses the Bing Maps REST service to obtain a set of routes. Traffic data from the California Department of …
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An intelligent destination recommendation system for tourists.
… during their travel. With the development of a recommendation system, tourists can select, compare and make decisions almost instantly. This involves the construction of decision models, the ability to predict user preferences, and interpretation of the results. This research aims to develop a …
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Publication venue recommendation in heterogeneous information networks
… works are network-based approaches, which make recommendations using co-author networks and author-venue links in the bibliographic information networks. However, we have not yet seen a general framework that incorporates a broad range of both content-based features and network-based features, …
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A modular adversarial approach to social recommendation
… to incorporate social regularization for item recommendation. Social regularization grounded in ideas of homophily and influence appears to capture latent user preferences. However, there are two key challenges: first, the importance of a specific social link depends on the context and second, …
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DR_BEV: Developer Recommendation Based on Executed Vocabulary
… Additionally, we propose DR_BEV (Developer Recommendation Based on Executed Vocabulary), a novel execution-based technique that models developer expertise based on the vocabulary of each developer's source code contributions, and we demonstrate that this technique out-performs the current …
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