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 76 for “"recommendation system"”.
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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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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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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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A Hybrid Recommendation System Based on Association Rules
<p>Recommendation systems are widely used in e-commerce applications. The<br />engine of a current recommendation system recommends items to a particular user based on user preferences and previous high ratings. Various recommendation schemes such as collaborative filtering and content-based …
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Towards a New Algorithm for Event Recommendation System
We develop a recommendation algorithm for a local entertainment and ticket provider company. The recommender system predicts the score of items, i.e. event, for each user. The special feature of these events, which makes them very different from similar settings, is that they are perishable: each …
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Developing a Mobile Recommendation System using Collaborative Filtering
Αυτή η διπλωματική εργασία υλοποιεί σύστημα συστάσεων πελάτη-διακομιστή που μετατρέπει την είσοδο ενός χρήστη σε μία ταξινομημένη λίστα συστάσεων μερών και εκδηλώσεων. Ο χρήστης χρησιμοποιεί μία εφαρμογή Android για κινητά για να περάσει τις προτιμήσεις του και ο διακομιστής που διαθέτει όλη την …
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A Recommendation System for Ideation: Enhancing Supermind Ideator
Recommendation systems are widely utilized across various domains such as e-commerce, entertainment, and social media to enhance user experience by personalizing content and suggestions. Despite their widespread use, these systems are rarely applied to the ideation process, presenting unique …
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Creating a web page recommendation system for Haystack
… goal of this thesis was to create a web page recommendation system for Haystack, capable of tracking a user's browsing behavior and suggesting new, interesting web pages to read based on the past behavior. However, during the course of this thesis, 3 salient subgoals were met. First, …
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Pedestrian Pal: A Route Recommendation System for the Android Mobile Phone
… these devices has become prevalent for route recommendations while traveling in unfamiliar locations. Current research works to improve algorithms that calculate efficient and effective routes between two or more points. While expedient travel is necessary in time constraint situations, …
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Pedestrian Pal: A Route Recommendation System for the Android Mobile Phone
… these devices has become prevalent for route recommendations while traveling in unfamiliar locations. Current research works to improve algorithms that calculate efficient and effective routes between two or more points. While expedient travel is necessary in time constraint situations, …
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Appletite : data reduction for the wireless platform : a restaurant recommendation system
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, February 2001.
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User-centered design of a fertilizer recommendation system for smallholder farmers
Declining soil health is a major problem in India, affecting nearly 120 million hectares of land constituting 37% of the total geographic area. Soil degradation poses a significant threat to India's food security, due to its negative impact on long-term crop yields, which are crucial for feeding a …
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Investigation of an intelligent personalised service recommendation system in an IMS based cellular mobile network
… An architecture based on IP Multimedia Subsystem is proposed for mobility and to provide service continuity whilst roaming between two different access standards. Another aspect of personalisation, which is user preference modelling, is investigated in the context of service selection in a …
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Retain: building a concept recommendation system that leverages spaced repetition to improve retention in educational settings
Made available in DSpace on 2017-08-10T19:16:13Z (GMT). No. of bitstreams: 2 SUBRAHMANYAM-THESIS-2017.pdf: 465119 bytes, checksum: fd9f648634920cc398844f5e0218f434 (MD5) LICENSE.txt: 4216 bytes, checksum: 956b25e149f76dafd42565463f11e7f3 (MD5) Previous issue date: 2017-04-26
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Feasibility optimality of periodwise static priority policies for a quality of service model in wireless networks and convergence analysis for an online recommendation system
… advice. At the present time, several web-based recommendation systems use votes from experts or other users to recommend objects to other customers. We apply the `learning from expert advice' framework for this system, and propose a recommendation algorithm that uses a weighted update rule. …
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Discovering E-commerce Sequential Data Sets and Sequential Patterns for Recommendation
In E-commerce recommendation system accuracy will be improved if more complex sequential patterns of user purchase behavior are learned and included in its user-item matrix input, to make it more informative before collaborative filtering. Existing recommendation systems that use mining techniques …
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Consumer Responses to Preference Elicitation Processes in Destination Recommendation Systems
… experiment which involved using a destination recommendation system for Spring Break vacation destinations. The data was analyzed primarily using a structural equation modeling methodology. The results suggest that the content of the questions asked during the course of the preference …
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Organic indoor location : infrastructure and applications
We describe OIL, a system that uses the existing wireless infrastructure of a building to enable a mobile device to discover its indoor location. One of the main goals behind OIL is to enable non-expert users to contribute the data that is required for localization. Toward this we have developed …
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A Novel Combined Investment Recommender System Using Adaptive Neuro-Fuzzy Inference System
Investment recommendation systems (IRSs) are critical tools used by potential investors to make informed decisions about investment options. However, existing systems have limitations in terms of accuracy and efficiency, leading to a need for more effective and efficient recommendation systems. …
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