Essays about: "Recommender Systems"
Showing result 16 - 20 of 136 essays containing the words Recommender Systems.
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16. Evaluating Cold-Start in Recommendation Systems Using a Hybrid Model Based on Factorization Machines and SBERT Embeddings
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The item cold-start problem, which describes the difficulty of recommendation systems in recommending new items to users, remains a great challenge for recommendation systems that rely on past user-item interaction data. A popular technique in the current research surrounding the cold-start problem is the use of hybrid models that combine two or more recommendation strategies that may contribute with their individual advantages. READ MORE
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17. A graph database implementation of an event recommender system
University essay fromAbstract : The internet is larger than ever and so is the amount of information on the internet.The average user on the internet has next to endless possibilities and choices whichcan cause information overload. Companies have therefore developed systems toguide their users to find the right product or object in the form of recommendersystems. READ MORE
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18. Creating a Recommender Plug-In for Enterprise Architecture Models
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Information Technology (IT) has evolved over the decades, where its role and impact have transitioned from being a tactical tool to a more strategic one for driving business strategies to transform organizations. The right alignment between IT strategy and business has become a compelling factor for Chief Information Officer (CIO)s where misalignment could lead to a degradation of organization performance and slow them down in the landscape of market competition. READ MORE
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19. What's in a name? How the vocabulary of personalised playlists affects user's expectation and satisfactions in music streaming services
University essay from Jönköping University/JTH, Avdelningen för datateknik och informatikAbstract : Background: The following study focuses on the area of personalisation within streaming services and how vocabulary of playlist names and categories affect expectations and satisfactions. The wording of personalised items is important to convey that content is directly made for a user, yet there are limited studies that explore what users anticipate and if the message conveys correct information to then lead to satisfaction. READ MORE
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20. GROCERY PRODUCT RECOMMENDATIONS : USING RANDOM INDEXING AND COLLABORATIVE FILTERING
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The field of personalized product recommendation systems has seen tremendous growth in recent years. The usefulness of the algorithms’ abilities to filter out data from vast sets has been shown to be crucial in today’s information-heavy online experience. READ MORE