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HCIR 2010: Bigger and Better than Ever!

Last Sunday was HCIR 2010, the Fourth Annual Workshop on Human-Computer Interaction and Information Retrieval, held at Rutgers University in New Brunswick, collocated with the Information Interaction in Context Symposium (IIiX 2010). With 70 registered attendees, it was the biggest HCIR workshop we have held. Rutgers was a gracious host, providing space not only for [...] → Read More: HCIR 2010: Bigger and Better than Ever!

Dear Facebook, What is the performance of your face recognizer? Thanks!

As far as I can tell, Facebook must have one of the largest collection of images with face tags. I can’t imagine any Facebook employee with even a few weeks of a machine learning course under their belt hasn’t tried to train a model to perform face recognition on their data.
Does anyone know of [...] → Read More: Dear Facebook, What is the performance of your face recognizer? Thanks!

GraphLab: Beyond MapReduce for Parallel Machine Learning

A team at the CMU Select Lab recently released a new software package, called GraphLab that provides an alternative to the MapReduce paradigm for developing Machine Learning algorithms. The work is described in the paper,Yucheng Low, Joseph Gonzalez, … → Read More: GraphLab: Beyond MapReduce for Parallel Machine Learning

Exploring Nuggetize

I’ve been exchanging emails with Dhiti co-founder Bharath Mohan about Nuggetize, an intriguing interface that surfaces “nuggets” from a site to reduce the user’s cost of exploring a document collection. Specifically Nuggetize targets research scenarios where users are likely to assemble a substantial reading list before diving into it. You can try Nuggetize on the [...] → Read More: Exploring Nuggetize

Accepted NTCIR-9 Tasks

The NTCIR-9 task selection commitee and the evaluation chairs have accepted the following tasks.Updates will be announced at the NTCIR website.CORE TASKSIntent (with One-Click Access subtask)Recognizing Natural Language InferenceGeotemporal information… → Read More: Accepted NTCIR-9 Tasks

Yahoo! Labs Interview: Towards Web Object Search

The Yahoo! Search blog has an interview with Dr. Ben Shahshahani of Y! labs on search. The questions in the interview cover real-time search, the use of social data, and object retrieval.The interview begins with an introduction that search is moving … → Read More: Yahoo! Labs Interview: Towards Web Object Search

Quick Links of the Day: Blekko, Silicon Valley History, and I hate your paper, and P!=NP

Blekko – Daniel has a Blekko preview from the beta. See also Michael Arrington’s post on SE Land. From Daniel’s post:Rather, they are a way for users to “spin” their search results using a variety of filters. For example, [climate /liberal] and [… → Read More: Quick Links of the Day: Blekko, Silicon Valley History, and I hate your paper, and P!=NP

Taking Blekko out for a Spin

If you’re a search engine junkie like me, you’ve probably heard about Blekko, a search engine that has been percolating for over two years and recently launched a private beta. If not, I encourage you to watch the TechCrunch video I’ve embedded above. You can join the beta by following them on Twitter. I did [...] → Read More: Taking Blekko out for a Spin

2010 Google Faculty Summit: The Anatomy of a Large Scale Social…

2010 Google Faculty Summit: The Anatomy of a Large Scale Social Search Engine (Aardvark)
(via GoogleTechTalks) → Read More: 2010 Google Faculty Summit: The Anatomy of a Large Scale Social…

2010 Google Faculty Summit: The Anatomy of a Large Scale Social…

2010 Google Faculty Summit: The Anatomy of a Large Scale Social Search Engine (Aardvark)
(via GoogleTechTalks) → Read More: 2010 Google Faculty Summit: The Anatomy of a Large Scale Social…

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