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Category Archives: Information Retrieval Foundations
Loopy Results and Continuous Deployment
I have more questions than I have answers. One of the topics that I know very little about, and on which I often seek clarification and wisdom, is A/B testing in the context of rapid iteration, rapid deployment online systems. … Continue reading
Posted in Information Retrieval Foundations
10 Comments
Exploration, Collaboration, and Open Government
What sort of information retrieval system would you build if you knew that all the users of your system would be expert or highly-motivated amateur searchers? What sort of system would you build when you have a very large collection … Continue reading
There is No Crowd
Via Xavier Amatriain: The Dirty Little Secret About the “Wisdom of the Crowds” – There is No Crowd: This is hardly the first time that the so-called “wisdom of the crowds” has been called into question. The term, which implies … Continue reading
Fast Flip: Is Bing Affecting Google?
…via Ask and SearchMe, that is? Let me explain. Google announced a new bit of interface design into its News search results today: Fast Flip: Google Fast Flip is a web application that lets users…”flip” through pages online as quickly … Continue reading
Posted in General, Information Retrieval Foundations
1 Comment
Time to Eat My Words: The Search Box Grows
Half a year ago I wrote a blogpost about an easy change that Google could make to its interface, one that would both sacrifice only the least bit of simplicity as well as entice and encourage the user to enter … Continue reading
Posted in Information Retrieval Foundations
4 Comments
Breadth Destroys Depth
A few days ago I posted a question about why modern web retrieval systems offer no explicit relevance feedback mechanisms. I wonder if it has anything to do with the following attitude, explained by one of my favorite bloggers, Nick … Continue reading
A Bird in the Hand…
As a researcher, I have more questions than answers. And one of the questions that I have is in regards to the widely-accepted maxim that users are too lazy to give explicit relevance feedback to the search engine. See Danny … Continue reading
Information Retrieval Jujitsu
On my drive to work this morning, as I mentally began preparing for all the research I wanted to accomplish today, I started thinking about the relationship between information retrieval, machine learning, probability, and statistics. And I found myself wondering … Continue reading
Posted in Information Retrieval Foundations
2 Comments
Web Search at 15: Vibrant Content, Stagnant Interface
A number of people have already written about the Sue Dumais “Salton Award” talk at SIGIR. I encourage you to read their posts, and in particular pay attention to the emphasis that she put on her work at the intersection … Continue reading
Is All Relevance “Googly” Relevance? Aka Google’s `Microsoft Moment’
I just finished reading a though provoking post from Anil Dash, about how Google’s recent Chrome OS announcement signifies an important moment: This is, for lack of a better term, Google’s “Microsoft Moment”. This is the point when the difference … Continue reading