Four short links: 3 June 2015

Filter Design, Real-Time Analytics, Neural Turing Machines, and Evaluating Subjective Opinions

  1. How to Design Applied FiltersThe most frequently observed issue during usability testing were filtering values changing placement when the user applied them – either to another position in the list of filtering values (typically the top) or to an “Applied filters” summary overview. During testing, the subjects were often confounded as they noticed that the filtering value they just clicked was suddenly “no longer there.”
  2. Twitter Herona real-time analytics platform that is fully API-compatible with Storm […] At Twitter, Heron is used as our primary streaming system, running hundreds of development and production topologies. Since Heron is efficient in terms of resource usage, after migrating all Twitter’s topologies to it we’ve seen an overall 3x reduction in hardware, causing a significant improvement in our infrastructure efficiency.
  3. ntman implementation of neural Turing machines. (via @fastml_extra)
  4. Bayesian Truth Seruma scoring system for eliciting and evaluating subjective opinions from a group of respondents, in situations where the user of the method has no independent means of evaluating respondents’ honesty or their ability. It leverages respondents’ predictions about how other respondents will answer the same questions. Through these predictions, respondents reveal their meta-knowledge, which is knowledge of what other people know.
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