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Category Archives: Information Retrieval Foundations
Large Data versus Limited Applicability
Large data can be extremely effective, but how widely applicable is it, really? A week or two ago the blogosphere was abuzz with discussion about the Unreasonable Effectiveness of Data position paper by Googlers A. Halevy, P. Norvig, and F. … Continue reading
Posted in Information Retrieval Foundations
1 Comment
Google Claim: Make Algorithms Smart through Data, not Complexity
Google researchers Alon Halevy, Peter Norvig, and Fernando Pereira have an article in IEEE Computer magazine entitled “The Unreasonable Effectiveness of Data“. The article continues a theme that has been running strong within Google circles for the past half decade … Continue reading
Posted in Information Retrieval Foundations
3 Comments
Controversial Views and Web Search
Daniel Tunkelang continues to raise provocative and interesting questions over on his blog. I would like to point readers to the comments section of a recent post. In one of my own comments there, I raise a question about ad-supported … Continue reading
Good Interaction Design Trumps Smart Algorithms
Over on the new CACM blog, researcher Tessa Lau has an interesting post on three common misconceptions that folks have about HCI. I recommend reading the full article, but I would like to call attention to her provocative opening statement … Continue reading
Posted in Information Retrieval Foundations
4 Comments
Evolutionary Thinking and IR Design
Just the other day I observed that Google, by thinking only evolutionarily and being unable to make leap-based changes, long ago fell into a local maximum trap. The following blogpost from a designer who is leaving Google appears to reinforce … Continue reading
Long Term versus Evolutionary Thinking (Part 2 of 2)
Continued from Part 1. Now that I’ve fully (perhaps too much so) explained the analogy that I will be using, I’d like to ground this discussion in the subject of information retrieval. And I’ll start with an example that O’Reilly … Continue reading
Long Term versus Evolutionary Thinking (Part 1 of 2)
Last week I attended the O’Reilly eTech conference. The first night, Tim O’Reilly gave his annual Radar talk, in which he surveys the technology landscape and comments on upcoming and interesting trends. I have heard this Radar talk for years, … Continue reading
Collaborative Information Seeking: Intent
Over on the FXPAL blog, Gene and I added the 2nd of a series of posts mapping out the collaborative information seeking systems domain. Here is an excerpt: When we view collaboration from the IR perspective, it becomes clear that … Continue reading
Why No Exploratory Search on the Web?
Daniel makes a provocative statement: “One of the recurring objections to exploratory search is that it can’t work for the web.” While I suspect that he is correct about this being the common wisdom, I find myself wondering about the … Continue reading
Exploration and Explanation
Sometimes, the story is as good as the moral. Sometimes, the journey is as good as the destination. So in Information Retrieval, why are we too often satisfied with producing results, but not with explaining how the results were arrived … Continue reading
Posted in General, Information Retrieval Foundations
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