Essays about: "recommender systems"
Showing result 26 - 30 of 136 essays containing the words recommender systems.
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26. Using Recommendation Engines to Improve the userexperience in a Cloud Analytic Solution
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Recommender systems have become an integral part of everyday human life because of tworeasons: addressing the issue of information filtering in the world of big data which limits therecommendation engine’s capabilities, and improving user experience by helping the userswhat users want. It is very often that users are unable to find preferred results with a simplequery or are unaware that even if it exits. READ MORE
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27. Exploring Ways of Empowering the User Through the Use of Recommendation Systems
University essay from Malmö universitet/Institutionen för konst, kultur och kommunikation (K3)Abstract : This thesis aims to explore how we can empower users through using recommendation systems. Recommendation systems are all around us on the web, however today’s implementation is not necessarily that interactive. READ MORE
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28. The Role of Different User Interfaces When Reducing Choice Overload : A study on the effects of single-list, grid and multi-list user interfaces on users’ experience.
University essay from Jönköping University/JTH, Avdelningen för datateknik och informatikAbstract : A common belief is that the larger the variety of options, the better. However, humans have a limited cognitive capacity, which can lead to people experiencing choice overload (Iyengar and Lepper, 2000). Limiting the number of options to reduce choice overload is not a feasible solution. READ MORE
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29. Prediction Accuracy And Autonomy : Assessing how recommender systems objectives can align with user autonomy
University essay from Institutionen för tillämpad informationsteknologiAbstract : Entertainment recommender systems have been criticised by journalists and tech-industry insiders for undermining individuals’ autonomy. These systems might exercise unwanted control over peoples’ lives, not through coercion but rather through distraction. READ MORE
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30. Behavior reflects preference : Mitigating the user cold-start in recommender systems with user telemetry data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Recommender Systems are information filtering systems that aim to predict a user’s preference for an item. A central challenge when building a Recommender System is the user cold-start, the integration of new users into the recommendation process. READ MORE