Search for dissertations about: "user recommendation"
Showing result 1 - 5 of 22 swedish dissertations containing the words user recommendation.
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1. Mining Web Logs to Improve User Experience in Web Search
Abstract : The World Wide Web continues to grow in size and diversity and this makes it increasinglyhard for users to find valuable information because of heterogeneous form and contentof the documents, little knowledge about the reliability and prestige of the documents anda great deal of redundancy.Usually search engines look for documents that contain specific keywords or phrasesstated by the users as queries. READ MORE
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2. Trust-Based User Profiling
Abstract : We have introduced the notion of user profiling with trust, as a solution to theproblem of uncertainty and unmanageable exposure of personal data duringaccess, retrieval and consumption by web applications. Our solution sug-gests explicit modeling of trust and embedding trust metrics and mechanismswithin very fabric of user profiles. READ MORE
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3. Experience of furniture in homes: Creating conditions for the design with consideration to people in the third age
Abstract : This licentiate thesis in industrial design concerns the challenge and opportunity to meet the demographic changes and the future senior market. The aim is to explore how various user-centered design methods can be combined, modified and practiced to create conditions for the design of totally new or improved products. READ MORE
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4. Creating & Enabling the Useful Service Discovery Experience : The Perfect Recommendation Does Not Exist
Abstract : We are rapidly entering a world with an immense amount of services and devices available to humans and machines. This is a promising future, however there are at least two major challenges for using these services and devices: (1) they have to be found and (2) after being found, they have to be selected amongst. READ MORE
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5. NLP methods for improving user rating systems in crowdsourcing forums and speech recognition of less resourced languages
Abstract : We develop NLP and ASR methods (e.g. READ MORE