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Paul Resnick's Occasional Musings

Paul Resnicks Occasional Musings. Moved to presnick.wordpress.com. 17 Dec 2011 11:29am. This blog has now moved to presnick.wordpress.com, where spam comments seem to be handled a little better. I apologize to all of my past real commenters, whose comments are now hidden. The spam comments had overwhelmed your genuine contributions. Personalized Filters Yes; Bubbles No. 17 Jul 2011 02:32pm. On Thursday, I gave the closing keynote for the UMAP conference. But then Eli Pariser’s TED Talk. As you can perhap...

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Paul Resnick's Occasional Musings | presnick.livejournal.com Reviews

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Paul Resnicks Occasional Musings. Moved to presnick.wordpress.com. 17 Dec 2011 11:29am. This blog has now moved to presnick.wordpress.com, where spam comments seem to be handled a little better. I apologize to all of my past real commenters, whose comments are now hidden. The spam comments had overwhelmed your genuine contributions. Personalized Filters Yes; Bubbles No. 17 Jul 2011 02:32pm. On Thursday, I gave the closing keynote for the UMAP conference. But then Eli Pariser’s TED Talk. As you can perhap...

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Paul Resnick's Occasional Musings | presnick.livejournal.com Reviews

https://presnick.livejournal.com

Paul Resnicks Occasional Musings. Moved to presnick.wordpress.com. 17 Dec 2011 11:29am. This blog has now moved to presnick.wordpress.com, where spam comments seem to be handled a little better. I apologize to all of my past real commenters, whose comments are now hidden. The spam comments had overwhelmed your genuine contributions. Personalized Filters Yes; Bubbles No. 17 Jul 2011 02:32pm. On Thursday, I gave the closing keynote for the UMAP conference. But then Eli Pariser’s TED Talk. As you can perhap...

INTERNAL PAGES

presnick.livejournal.com

1

How newsgroups refer to NetScan data: presnick

https://presnick.livejournal.com/19024.html

How newsgroups refer to NetScan data. Reflections and Reactions to Social Accounting Meta-Data. Eric Gleave (U of Washington) and Marc Smith (Microsoft Research). At C&T. In 18 months, there were about 5000 messages that explicitly referred to "netscan.research". Analyzed/coded 952 messages. Half discuss groups. 80% of those linking to the Netscan report card for the group, 17% explicitly discuss the group's "health". 22% discuss the message's author, such as saying that the author is #1 in the group.

2

Personalized Filters Yes; Bubbles No: presnick

https://presnick.livejournal.com/21239.html

Personalized Filters Yes; Bubbles No. On Thursday, I gave the closing keynote for the UMAP conference. User Modeling and Personalization) in Girona, Spain (Catalunya). I had planned to talk about by work directed towards creating balanced news aggregators that people will prefer to use over unbalanced ones (see project site. But then Eli Pariser’s TED Talk. On “Filter Bubbles” starting getting a lot of attention. For anyone who wants a summary of my arguments, here goes. His first concern I summarize as ...

3

Recommenders and Sales Diversity: presnick

https://presnick.livejournal.com/17768.html

Recommenders and Sales Diversity. At the EC '07. Conference, Kartik Hosanagar presented a paper modeling the impact of recommender systems on sales diversity. Do they contribute to a long tail, where lots of products get a few sales, or do they reinforce blockbusters. The paper suggests the latter. D Fleder, K. Hosanagar "Recommender Systems and Their Impact on Sales Diversity", Proceedings of ACM EC '07, pp.192-199. Comments for this post were disabled by the author. Follow us on Facebook.

4

Peer Prediction Method with Reduced Payments: presnick

https://presnick.livejournal.com/17575.html

Peer Prediction Method with Reduced Payments. ACM EC 06. Jurca and Faltings. Work extends my "Peer Prediction" paper. Written with Nolan Miller and Richard Zeckhauser, on eliciting honest reports, by comparing reports between people. Automatically selects a scoring rule, with lower expected payments but still incentive compatible. Has some mechanism for probabilitistically filtering out unusual ratings. I'll have to look at the paper to see the details of this. Collaborative Filtering with Privacy.

5

Babaioff; Characterizing Truthful Multi-Armed Bandit Mechanisms: presnick

https://presnick.livejournal.com/19471.html

Babaioff; Characterizing Truthful Multi-Armed Bandit Mechanisms. At Economics of Search conference. Moshe Babaioff presented an interesting paper. Suppose that you're conducting an auction for adwords, where you want to rank the bidders based on expected revenue in order to allocate slots and determine prices for slots based on bids. But suppose you don't know what the clickthrough rate will be for the items. So now I'm curious what the best algorithms are without the truth-telling requirement. My gu...

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Paul Resnick's Occasional Musings

Paul Resnicks Occasional Musings. Moved to presnick.wordpress.com. 17 Dec 2011 11:29am. This blog has now moved to presnick.wordpress.com, where spam comments seem to be handled a little better. I apologize to all of my past real commenters, whose comments are now hidden. The spam comments had overwhelmed your genuine contributions. Personalized Filters Yes; Bubbles No. 17 Jul 2011 02:32pm. On Thursday, I gave the closing keynote for the UMAP conference. But then Eli Pariser’s TED Talk. As you can perhap...

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Paul Resnick's Home Page

Michael D. Cohen Collegiate Professor. Associate Dean for Research and Faculty Affairs. University of Michigan School of Information. 105 S State Street. Ann Arbor, MI 48109. By appointment and as announced in courses. Research Interests and Projects. BALANCE: Enhancing Diversity in News and Opinion Aggregators. Funded by NSF under Grant No. IIS- 0916099. Former Ph.D. students and postdoc: Sean Munson, Xiaodan Daniel Zhou, Sidharth Chhabra, Souneil Park). Aggregators such as Reddit. SI502 Networked Compu...

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Paul Resnick's occasional musings

Paul Resnick's occasional musings. Estimating Uber Driver Pay, Net of Expenses: $12.76 in Boston. January 25, 2015. Note: there is now an updated version of the study. With slightly different hourly wage reported in Table 6. I’ve updated my post to reflect that, and attached a new version of the spreadsheet. 2/5/15]. Uber just put out a study. Basically, I’ve tried to back out from their data an estimate of the number of hourly miles per driver. Then we can multiply that by a standard per-mile ...Reporte...

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