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Category Archives: Information Retrieval Foundations
Speed Matters. So Does the Metric.
Via Greg Linden, I came across the following experimental result from Google as to the importance of quickly returning results to users. The gist of the experiment is summed up in the abstract: Experiments demonstrate that increasing web search latency … Continue reading
200 Signals, Still Only One Route
Via Paul Lamere, I came across this recent Google blogpost on large scale graph computing. I started reading, and quickly became excited by what I was hearing: A relatively simple analysis of a standard map (a graph!) can provide the … Continue reading
Compare Google Yahoo Bing
I would like to point to a post worth reading, over at Blogoscoped, about personal, blind side-by-side comparisons of the various contending search engines. I have seen studies like this for years, both on the web and in published, academic … Continue reading
Machine Learning and Search: Action or Reaction?
I have a question that has been bothering me, kicking around in my head, for at least half a decade now. And I can’t seem to come to any solid conclusion on it. I suppose it can’t hurt to throw … Continue reading
Posted in General, Information Retrieval Foundations
13 Comments
Search Engine Rotation: Wolfram Alpha vs. Google
Apropos to my post yesterday, Technology Review has a short comparison of Wolfram Alpha and Google. Here are a few samples: Here’s what I entered, and what I found. SEARCH TERM: Microsoft Apple WOLFRAM ALPHA: I got side-by-side tables and … Continue reading
The Tyranny of Simplicity
One of my ongoing frustrations with modern, consumer-facing information organization and retrieval systems is the way in which functionality is often sacrificed in the name of simplicity. Full functionality under the rubric of simplicity is a laudable goal, and I … Continue reading
Posted in General, Information Retrieval Foundations
12 Comments
Retrievability and Prague Cafes
A week or two ago I began writing a few thoughts about large-data based algorithms and retrievability. It was spawned by the Unreasonable Effectiveness of Data position paper by a couple of notable Googlers, which then led to a brief … Continue reading
Posted in Information Retrieval Foundations
4 Comments
Google Similar Images: Only 20%?!
A few days ago, Google launched “similar image search” functionality. From TechCrunch: A new 20% time Google project has just launched called Google Similar Images. It’s pretty self-explanatory — when you search for an image and find one close to … Continue reading
Posted in General, Information Retrieval Foundations
3 Comments
Dagstuhl Seminar on Content-Based Retrieval
As a researcher, it is occasionally quite interesting to reread thoughts and positions that I’ve taken in years and works past. Sometimes I can observe a marked shift from my previous thinking; avenues or approaches that I once considered fruitful … Continue reading
Retrievability
In my previous post I talked a little about the notion that big data alone cannot solve many of our problems. I would like to give a more concrete example of this by discussing a paper published at CIKM 2008: … Continue reading
Posted in Information Retrieval Foundations
9 Comments