grouplens.org
Onboarding New Users in Recommender Systems | GroupLens
http://grouplens.org/blog/onboarding-new-users-in-recommender-systems
Onboarding New Users in Recommender Systems. March 11, 2015. According to the song, Getting to know you. getting to know all about you is a lot of fun. But when you go to a new doctor, and fill out a 10-page patient intake form so the doctor can get to know you, it’s not so much fun. But this is the price you have to pay for personalized treatment — whether from a doctor or film recommender — right? Generating movie groups using clustering algorithms;. Visualizing the movie groups to users;. We evaluated...
grouplens.org
Blog | GroupLens
http://grouplens.org/node/244
Investigating the Potential for Miscommunication Using Emoji. April 5, 2016. Hey emoji users: Did you know that when you send your friend. On your Nexus, they might see. And it’s not just. This type of thing can happen for all emoji (yes, even. In a paper ( download. That will be officially published at AAAI ICWSM. In May, we show that this problem can cause people to misinterpret the emotion and the meaning of emoji-based communication, in some cases quite significantly. The exact same emoji rendering.
lenskit.org
LensKit — Users
http://lenskit.org/users
Is your site using LensKit? Drop us a line. And we’ll add it to the list. This site is public on GitHub. Hosted on GitHub Pages.
lenskit.org
LensKit — Acknowledgements
http://lenskit.org/thanks
LensKit is developed primarily by researchers at Texas State University. At the University of Minnesota. With contributions from developers around the world. It is made possible by support from a number of organizations:. Projects, particularly MovieLens. Use LensKit in production, providing experience, bug reports, and other valuable feedback (and code). We also maintain list of LensKit users. YourKit is kindly supporting the project with free licenses for the YourKit Java profiler.
grouplens.org
What is GroupLens? | GroupLens
http://grouplens.org/about/what-is-grouplens
GroupLens is a research lab in the Department of Computer Science and Engineering at the University of Minnesota, Twin Cities specializing in recommender systems, online communities, mobile and ubiquitous technologies, digital libraries, and local geographic information systems. We advance the theory and practice of social computing by building and understanding systems used by real people. Information for Prospective Students. Follow us on Twitter. Follow us on Google. Follow us on App.net.
grouplens.org
Blog | GroupLens
http://grouplens.org/blog
Investigating the Potential for Miscommunication Using Emoji. April 5, 2016. Hey emoji users: Did you know that when you send your friend. On your Nexus, they might see. And it’s not just. This type of thing can happen for all emoji (yes, even. In a paper ( download. That will be officially published at AAAI ICWSM. In May, we show that this problem can cause people to misinterpret the emotion and the meaning of emoji-based communication, in some cases quite significantly. The exact same emoji rendering.
grouplens.org
Projects | GroupLens
http://grouplens.org/projects
Online Peer-Support in Recovery from Addiction. Cyclopath in Greater MN. GroupLens has a long history of research on recommender systems, starting with the original GroupLens USENET article recommender and the development of automatic collaborative filtering. That work continues today, as we run multiple recommendation services and use them to advance the art of recommendation. MovieLens ( http:/ movielens.org. The rating interfaces project is investigating different interfaces for rating movies. We ...
grouplens.org
MovieLens | GroupLens
http://grouplens.org/datasets/movielens
GroupLens Research has collected and made available rating data sets from the MovieLens web site ( http:/ movielens.org. The data sets were collected over various periods of time, depending on the size of the set. Before using these data sets, please review their README files for the usage licenses and other details. Help our research lab. Please take a short survey. About the MovieLens datasets. Stable benchmark dataset. 100,000 ratings from 1000 users on 1700 movies. Released 4/1998. 100,000 ratings an...
