Is Good Enough Good Enough?

The Good Enough Revolution: When Cheap and Simple Is Just Fine” is the title of a new Wired article.  In it, Robert Capps makes the following point:

The world has sped up, become more connected and a whole lot busier. As a result, what consumers want from the products and services they buy is fundamentally changing. We now favor flexibility over high fidelity, convenience over features, quick and dirty over slow and polished. Having it here and now is more important than having it perfect. These changes run so deep and wide, they’re actually altering what we mean when we describe a product as “high-quality.”  And it’s happening everywhere. As more sectors connect to the digital world, from medicine to the military, they too are seeing the rise of Good Enough tools like the Flip . Suddenly what seemed perfect is anything but, and products that appear mediocre at first glance are often the perfect fit.

Capps goes on to make his point using a number of examples: The Flip video camera (easy).  Web apps (no installation).  Mp3s (small file size).  Even healthcare.  Quality, he says, is no longer measured by fidelity and richness of experience.  It is measured by convenience.

I suppose I cannot argue with empiricism.  What is is what is, and the article as a whole seems fairly descriptively accurate.  But let me wax normative for a moment.  Continue reading

Posted in General, Music IR, Social Implications | 13 Comments

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 Sullivan’s take, here.

Perhaps I am stuck back in a view of Information Retrieval that is 10-15 years old, but I tend to find my views heavily shaped or influenced by things like the following bit from Marti Hearst’s chapter in Modern Information Retrieval:

An important part of the information access process is query reformulation, and a proven effective technique for query reformulation is relevance feedback. In its original form, relevance feedback refers to an interaction cycle in which the user selects a small set of documents that appear to be relevant to the query, and the system then uses features derived from these selected relevant documents to revise the original query. This revised query is then executed and a new set of documents is returned. Documents from the original set can appear in the new results list, although they are likely to appear in a different rank order. Relevance feedback in its original form has been shown to be an effective mechanism for improving retrieval results in a variety of studies and settings [salton90a][harman92c][buckley94b]. In recent years the scope of ideas that can be classified under this term has widened greatly.

Given that explicit relevance feedback works, why is it essentially non-existent on the web?  A bird in the hand (an explicit relevance judgment) is worth two in the bush (two implied or inferred relevance judgments).  Continue reading

Posted in Collaborative Information Seeking, Information Retrieval Foundations | 2 Comments

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 how most of us think about machine learning when we use it as a tool to help people find information.  Specifically, do we use machine learning to help us discover the repeating patterns, the most likely outcomes, and then serve those sorts of results to information seekers?  Or do we use machine learning as a way of helping us understand what the most common outcomes are, so that we can develop information seeking systems that allow users to sidestep these common pathways, finding interesting nuggets that are otherwise obscured by the raw statistics?

Expressed in a slightly different manner: Is machine learning (applied to information retrieval) like karate in that it attacks the information organization/information seeking problem head on, fighting probability with probability?  Or is it more like jujitsu, in that it uses probability’s weaknesses against itself, to come up with retrieval algorithms and solutions that satisfy a user’s information need, despite the tendency to follow the statistically most-obvious path?  Or is there a little of both?

I realize my question is a bit vague and underspecified.  It is just something I am pondering at the moment.

Posted in Information Retrieval Foundations | 2 Comments

Marissa Mayer talk at PARC

I just got back from a PARC open forum, in which Marissa Mayer gave a talk about the Physics of Data, and Innovation at Google.  All in all, it was fine.  Maybe a third of the talk was about new possibilities enabled by large quantities of data (Google Flu Trends, better search, etc.)  The other two-thirds were dedicated to introducing the audience to some longer-tail Google products that many folks might not have known about.  So I’m not going to go into detail about the talk as a whole, but I will point out two tidbits that were the most interesting to me.  One is positive, one is negative. Continue reading

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Google not very Googly

If it wasn’t official before, it is now.  Google self-advertises:

In the latest shot fired in Google Inc.’s ongoing battle with Microsoft Corp., Google announced today that it’s taking this fight to the streets.

Literally.

Google is kicking off a month-long ad campaign for its online suite of enterprise office applications. The campaign will have the search giant leasing billboard space in four major U.S. cities — New York, San Francisco, Chicago and Boston. Each work day will have a different message for commuters to take in.

Each day there will be a different message.  Each day!  This is no small self-advertising undertaking.

Does anyone remember when the lack of self-advertisement was one of the primary points of pride for the company?  We’re not talking 10 years ago.  Even as recently as SIGIR 2008, Kai Fu Lee stated in front of an audience of 500+ people that Google categorically does not self-advertise.  Just a few months before that, Google’s VP of Marketing was interviewed by Business Week: Continue reading

Posted in General, Social Implications | 11 Comments

Comments: Search Engines and Advertising

I have been quiet lately on the blogpost front. Am still looking for a free moment to write up my reactions to the recent SIGIR 2009 conference.  In the meantime, I am having a good time with Neal Richter and Daniel Tunkelang, discussing the topic of Search and AdvertisingPlease come join in the conversation if this is a topic that interests you.

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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 of HCI and IR.  I see this area as only continuing to grow over the next decade.

So along those lines I want to share a small tidbit from her talk that I particularly identified with.  As I’ve written about in the past, one of my pet irritants is the search input box.  Web search has been around for 1.5 decades, but there is still only a single line for expressing and inputing the richness of one’s information needs.  Dumais shares this frustration, and in her talk showed this slide:

sigir2009-1-of-1

This is web search at 15.  Lycos started with 54k pages in July of 1994, and today we are up to billions.  Web search engines started indexing only web pages and Usenet newsgroups.  Now there are maps, videos, shopping, stocks, health, travel, and so on.  But has there been parity in the manner in which users are able to express their richer and more complex information needs?  No, that remains unchanged.  The shot above shows the past n years of MSN/Live/Bing search interfaces (the next slide also did the same thing for Google — but I missed that shot), obtained through the Internet Archive.  Nothing significant has changed.  Sure, things get a little wider, things get more colors and a few more verticals.  But it’s still a one (not even two!) line input box.

Dumais felt, and I completely agree, that continuing down this path is not the best way to approach Information Retrieval.  Sure, for certain types of queries we will still only need this flat simplicity.  But with the richness of information available (video! music!), continuing to optimize for single line text does a disservice to the users.

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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 between their internal conception of the company starts to diverge just a bit too far from the public perception of the company, and even starts to diverge from reality. At this inflection point, the reasons for doing new things at Google start to change.

Dash gives a number of explanations for why he believes this moment has arrived.  The first observation that struck me was about Google’s attitude toward self-promotion.  For its entire company history, Google has proudly and vocally called attention to the fact that it does not advertise its own services; its products speak for themselves and are spread by word-of-mouth and by reputation alone.  That is the self-declared “Googly” way.  This was not just early days rhetoric, spoken only when the company was young.  As recently as last year’s SIGIR 2008 conference in Singapore, Googler Kai Fu Lee explicitly stated during his keynote speech the fact that Google does not self-advertise.  But this, Dash says, is changing.  Now there are slick television ads for Chrome.  There are highly promoted developer conferences for Android.  And just two days before Kai Fu Lee gave his SIGIR talk, categorically declaring that Google never self-advertises, I was at a San Francisco Giants game and saw a large, LED banner advertisement for Google Transit.  This change has an effect on the public perception of the company. Dash writes:

This would be okay, except that I doubt Google’s internal self-image as an organization has changed to reflect this new reality. “We’re not like some giant company with flashy TV ads — we’re just a bunch of geeks in Mountain View!” And while that might be true for the vast number of engineers who define the company’s internal culture, the external impression of Google being just another tech titan like Microsoft will gain footing, making the audience for Google’s messages less tolerant of ambiguity and less forgiving of mistakes…Google has made commendable steps towards communicating with those outside of its sphere of influence in the tech world. But the messages will be incomplete or insufficient as long as Google doesn’t truly internalize and accept that its public perception is about to change radically. The era of Google as a trusted, “non-evil” startup whose actions are automatically assumed to be benevolent is over.

Now, you might ask: What does all this have to do with this Information Retrieval blog? Continue reading

Posted in Information Retrieval Foundations, Social Implications | 2 Comments

Googling with Bing

I’ve been rather quiet on the blog as of late, and that will probably continue for a while.  My summer has been much busier than expected.  In the meantime, I’ll share a short sketch that I recently came across, entitled “Googling with Bing“.  Enjoy.

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Will Chrome OS have RAW support?

Much ado has been made today in the blogosphere about the newly announced (but 1.5 years from being shipped) Chrome OS from that search engine company, Google.  Here is an excerpt from the announcement: 

We designed Google Chrome for people who live on the web — searching for information, checking email, catching up on the news, shopping or just staying in touch with friends. However, the operating systems that browsers run on were designed in an era where there was no web. So today, we’re announcing a new project that’s a natural extension of Google Chrome — the Google Chrome Operating System. It’s our attempt to re-think what operating systems should be.

This reminds me of a long-standing debate that I’ve had with a few of my colleagues at work, about the relative value of browser-based web apps, versus desktop-based, internet-enabled apps.  Chrome does not end this debate, but I see it as a step in the latter direction.

There is a big, big question that I have about all this, though.  And it’s something that I’ve not seen in the dozens of official and unofficial blogposts that I’ve read so far today.  And that issue is one of hardware compatibility.  A real operating system has to interface with external devices, and accommodate all types of information captured and collected by the user.  Yes, it’s true that more and more people are living their entire digital lives on the internet, and that much of what they do involves browsing, viewing, and sharing of information within a web context.  

However, in order to get that information onto the web in the first place, there needs to be some sort of user-facing hardware that captures that information.  A physical keyboard (or touchscreen keyboard) are pieces of hardware for capturing text information.  And a camera is a piece of hardware for capturing image information. So my question is: If the ChromeOS is to serve as the operating system for my computer, will I be able to plug my camera into that computer, and upload the files from the camera to the web, in such a form that others can view those images?   Continue reading

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