December 31, 2009

YouTube’s Quest to Suggest More
By MIGUEL HELFT
NY Times

http://www.nytimes.com/2009/12/31/technology/internet/31tube.html?_r=1&ref=business&pagewanted=print


SAN BRUNO, Calif. — YouTube, the video site owned by Google, is about 10 
times more popular than its nearest competitor. But Hunter Walk still 
thinks of it as an underdog.

For Mr. Walk, director of product management at YouTube, the competition 
is not other Web sites: it’s TV.

“Our average user spends 15 minutes a day on the site,” he said. “They 
spend about five hours in front of the television. People say, ‘YouTube 
is so big,’ but I really see that we have a ways to go.”

To that end, Mr. Walk leads a team of about a dozen engineers, designers 
and project managers who are fine-tuning YouTube to give its users what 
they want, even even when the users aren’t quite sure what that is. The 
goal is to get them to spend a few more minutes on the site every day.

This is easier said than done. YouTube will not disclose the size of its 
video library, but the company has said that about 20 hours of video are 
uploaded to the site every minute. That is the equivalent of more than 
100,000 full-length movies uploaded every week. With hundreds of 
millions of clips to choose from, the challenge that Mr. Walk’s team 
faces is to figure out how to select the 5 or 10 or 20 that a user might 
enjoy most.

The payoff could be large. Google executives have said YouTube is still 
losing money but is on a path to profitability. Getting users to spend 
more time on the site would help it get there faster by selling more 
advertising. It could also go a long way to extend its dominance, 
shoring up its position against sites like Hulu, which are attracting a 
growing number of users with full-length movies and television shows.

And it could also help YouTube keep up with other competitors, including 
video search engines like Truveo and Blinkx, or sites like Clicker.com, 
which specializes in recommending professionally created videos online.

After Blinkx added better analysis of the visual content of videos to 
its engine early this year, for example, the average number of clips 
watched by users jumped to nearly five, from 2.5, said Suranga 
Chandratillake, founder and chief executive of Blinkx.

For YouTube, part of the challenge is in handling people’s searches. In 
November, Americans typed some 3.8 billion search queries on YouTube, 
more than on any search engine other than Google, according to comScore, 
a market researcher. While Google queries tend to be quite specific, 
users often come to YouTube with requests as vague as “funny videos.”

But perhaps more important, YouTube must finesse what technicians call 
discovery. That’s the art of suggesting videos that users may want to 
watch based on what they have watched before, or on what others with 
similar tastes have enjoyed. The effort requires mastering data-mining 
techniques similar to those used by the likes of Netflix and Amazon to 
make movie or book recommendations.

“I don’t think the YouTube problem is different from the Netflix problem 
or the Amazon problem,” said Christopher T. Volinsky, executive director 
of statistics research at AT&T Labs Research. Mr. Volinsky recently 
helped lead a team that won a $1 million prize established by Netflix to 
improve that site’s recommendation engine by 10 percent.

That it took his team of top computer scientists three years to make a 
modest improvement to Netflix, which has some 70,000 titles, illustrates 
the complexity of the task, Mr. Volinsky said.

YouTube’s work in these areas is largely hidden from users and involves 
dozens of tweaks, small and large, that Mr. Walk’s team makes every 
month. Recently, for instance, the group began tackling what it calls 
topic exhaustion. No matter how much users may like to watch, say, 
Shaquille O’Neal highlights, they will inevitably reach a point when 
they will have had enough.

So while YouTube used to suggest more of the same topic to users who 
watched a particular video, it has gently begun to nudge them toward 
related topics. The Shaquille O’Neal video may prompt suggestions for 
Kobe Bryant highlights, N.B.A. clips or even topics further afield, like 
sports stars who appear in films.

“If we guess wrong, you could leave us sooner,” said Jamie Davidson, a 
25-year-old associate product manager on Mr. Walk’s team. “But if we 
guess correctly, we may get you to watch another 10 videos. This is very 
hard.”

The techniques involve creating vast graphs, which Mr. Davidson calls 
conceptual maps, of related concepts like Shaquille O’Neal, the N.B.A. 
and Kobe Bryant, on which the proximity of two nodes indicates the 
closeness of two topics. The YouTube recommendation engine uses these 
maps to find new subject areas that might interest a user.

Over time, YouTube says it plans to rely more heavily on personalization 
and ties between users to refine recommendations.

Mr. Walk’s team meets weekly to discuss tweaks to YouTube’s software. 
During a recent meeting, a small group of engineers and user interface 
designers were brainstorming what might be the next big step in the 
site’s evolution: pages that would immediately begin playing a stream of 
clips tailored for a user, instead of offering lists of suggested 
videos. The idea is to push more videos at users in the hope of allowing 
them to abandon the keyboard and increasingly experience YouTube from 
the couch.

“On YouTube, every 45 seconds, you are stuck at a decision point,” Mr. 
Davidson said. “Any time there is a decision point, people may leave. We 
don’t want to take out the interactivity, but the default user 
experience should be a lot easier.”

Palash Nandy, an engineer on the team, suggests a couple of ideas. How 
about putting an “I’m feeling bored” button next to the search box, 
echoing Google’s famous “I’m feeling lucky” button? Or why not give 
users a slider to select the amount of time they want to be entertained, 
and let YouTube’s software assemble a playlist accordingly?

None of this is likely to appear on the YouTube home page soon. But the 
team is already working on new ways to let users collectively create 
lists of videos that share a topic, like cats playing keyboards 
(youtube.com/bestofkeyboardcat). The ideas may show up first in the 
TestTube, YouTube’s site for experimental features.

Gauging YouTube’s success so far is difficult. YouTube will not release 
detailed traffic statistics. But it says improvements in its search and 
discovery software have helped increase the average time that users 
spend on the site by 50 percent in the last year.

Data from comScore appears to back that up. The average YouTube user 
watched 83 clips in October, compared with 53 a year earlier, though it 
is difficult to know how much of that growth was the result of 
improvements in YouTube’s algorithms.

Either way, Mr. Walk’s team plans to speed up the pace of innovation to 
help YouTube users search less and watch more.

“We are the second-largest search engine, and yet search is not even the 
right paradigm for discovering video,” Mr. Davidson said. “We are trying 
to move beyond it.”

-- 
================================
George Antunes, Political Science Dept
University of Houston; Houston, TX 77204
Voice: 713-743-3923  Fax: 713-743-3927
Mail: antunes at uh dot edu

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