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 34 for “"Information Filtering"”.
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Information filtering by multiple examples
A key to successfully satisfy an information need lies in how users express it using keywords as queries. However, for many users, expressing their information needs using keywords is difficult, especially when the information need is complex. Search By Multiple Examples (SBME), a promising method …
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Realising context-oriented information filtering.
The notion of information overload is an increasing factor in modern information service environments where information is ‘pushed’ to the user. As increasing volumes of information are presented to computing users in the form of email, web sites, instant messaging and news feeds, there is a …
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Statistical Learning Approaches to Information Filtering
… scientists. In recent years one such a topic, information filtering, emerges to help users find desired information items (e.g.~movies, books, news) from large amount of available data, and has become crucial in many applications, like product recommendation, image retrieval, spam email …
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On information filtering in social sensing
… exceeds normal people’s cognitive capability of information consumption, thus we desire a system that can filter the massive sensing data and delivers only information and intelligence to the users with a human-consumable amount. In this thesis, I focus on designing an information filtering …
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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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A learning approach to personalized information filtering
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.
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Amalthaea--information filtering and discovery using a multiagent evolving system
Thesis (M.S.)--Massachusetts Institute of Technology, Program in Media Arts & Sciences, 1997.
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Adaptive Preference Learning With Bandit Feedback: Information Filtering, Dueling Bandits and Incentivizing Exploration
… setting: cardinal feedback with application in information filtering systems, ordinal feedback with application in personalized content recommender systems, and attribute feedback with application in review aggregators. We connect these settings respectively to existing work on classical …
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A hypermedia implementation of a collaborative planning system
… be widened by integrating two or more of these information vehicles, typically one is utilized at the expense of the others. This is partially due to inadequate human-computer interfaces, information filtering and access difficulties, and the individual orientation of computers.
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Framework for Context-Aware Information Processing for Design Review in a Virtual Environment
… the owner's desired building or facility. Information generation becomes more intensive as the design stage progresses. The use of valuable information during design review stage can lead to a more comprehensive and high quality design, and a building or facility that is constructible, and …
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Mind over media: Conscious and unconscious responses to media messages
… filter incoming data. The remaining concepts and information are used as a platform for action and response in social situations. The resulting ideological platform also informs the pre-conscious mechanisms, creating a constantly evolving cycle of relevant information filtering. Recommendations …
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Automating data aggregation for collaborative filtering in Ruby on Rails
Collaborative filtering and information filtering are tried and proven methods of utilizing aggregated data about a website's users to provide catered content. Passive filters are one subset of such algorithms that utilize data about a user's interactions with a website in viewing content, …
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Mining User Behavior in Social Environments
… study Social Recommender Systems, which are information filtering systems that operate in the social media domain and aim at suggesting to the users items that are supposed to be interesting for them. Social Recommender Systems usually filter content by exploiting the social graph or by …
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Content based recommendation system & android application
… 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 every application can be tailored to a specific context of usage., I will try to …
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Towards Nootropia : a non-linear approach to adaptive document filtering
… difficult for users to find relevant information within the accessible glut. Research in Information Filtering (IF) tackles this problem through a tailored representation of the user interests, a user profile. Traditionally, IF inherits techniques from the related and more well …
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Learning-based Attack and Defense on Recommender Systems
… created, making it difficult for users to find information relevant to them. In recent times, online users have been relying on the recommendations made by websites to narrow down the options. Online reviews have also become an increasingly important factor in the final choice of a customer. …
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Disclosure and the cost of capital
… not South African companies manage the level of information disparity between investors and themselves so as to influence the company's cost of capital. A literature study was undertaken to ascertain what data and empirical findings have been produced by previous studies on disclosure and the …
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Vector Distance Transform Maps for Autonomous Mobile Robot Navigation
… including LiDARs and cameras. We propose an information filtering based approach for mobile robot localization where a single endpoint range sensor can be used to accurately localize a mobile robot in motion by rotating it in a direction that will improve its position estimate and the …
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