Italian Newspapers Get Gov't To Investigate Google For Not Sharing Ranking Secret Sauce

from the seriously-delusional dept

A bunch of folks have been sending in the news that Italian regulators have begun an investigation into Google, at the request of some Italian newspapers. The complaint is a typical one from newspapers who seem slightly clueless about how Google works. They say that Google News is unfair -- even though they can opt-out, but don't. The newspapers falsely claim that if they opt-out of Google News, they also have to opt-out of Google Search. That's simply untrue. But even if it were true, I'm not sure what the point would be. Getting traffic is a good thing. It's unclear why Italian newspapers (or any newspapers) don't like it.

In fact, the whole idea that Google News is unfair for sending traffic is undermined by the other complaint from the newspapers: that Google doesn't reveal how it ranks stories:

Because Google does not disclose the criteria for ranking news articles or search results, he said, newspapers are unable to hone their content to try to earn more revenue from online advertising.

Of course, that's silly. First, plenty of people have figured out how to optimize for Google -- there's a whole industry called SEO that does that. That doesn't mean that Google needs to reveal the secret sauce. But the best response to the demand for Google to reveal how it ranks stories comes from Danny Sullivan, who turns the story around, and wonders how newspaper would feel in the other direction:

No newspaper editor of any quality would allow an external interest to walk into their newsroom and demand to know exactly how to guarantee a front page article about whatever they want. But that's what the Italian papers seem to desire. Google has an editorial process for producing rankings, one that's done using automation -- but the papers seem to want to bypass those editorial decisions.

Exactly. The newspapers are basically demanding that their stories get ranked higher, but how would newspaper editors feel about the subjects of stories in the paper demanding that their stories be on the front page. After all, being on the front page would get the subject of a story more attention, and the newspaper isn't paying those subjects -- so the newspaper is "getting all the value." -- at least according to newspaper logic.

Sullivan also does a good job highlighting how useless it would be if the newspapers did get the details on how Google ranks stuff, because then everyone would just start writing stories to get to the top of the list, and any "advantage" would be lost. Separate from that, shouldn't we be just a bit troubled to find out that the newspapers are interested in figuring out how to write stories that top Google, rather than writing stories to better inform the populace?

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The Napoleon Dynamite Problem Stymies Netflix Prize Competitors

from the love-it-or-hate-it dept

We've been covering the ongoing race to claim the $1 million Netflix Prize for a while now, highlighting some surprising and unique methods for attacking the problem. Every time we write about it, it appears that the lead teams have inched just slightly closer to that 10% improvement hurdle, but progress has certainly been slow. Clive Thompson's latest NY Times piece looks at the latest standings, noting that the issue now is "The Napoleon Dynamite problem."

Apparently, the algorithms cooked up by various teams seems to work great for your typical mainstream movies, but where it runs into trouble is when it hits on quirky films, like Napoleon Dynamite or Lost in Translation or I Heart Huckabees, where people tend to have a rather strong and immediate love or hate reaction to those films, with very little in-between. No one seems quite sure what leads to such a strong polar reaction, and no algorithm can yet figure out how people will react to such films, which is where all of the various algorithms seem to run into a dead end.

Some folks believe that's just the nature of taste. It really can't just be programmed like an algorithm, but takes into account a variety of other factors: including what your friends think of something, or even if you happened to go see that movie with certain friends. Basically, there are external factors that could play into taste, that isn't necessarily indicated in the fact that you may have liked some other set of quirky movies, and therefore you must love Napoleon Dynamite. In some ways, it makes you wonder if we're all putting too much emphasis on an algorithmic approach to the issue, and if other recommendation systems, including what specific friends think of a movie might be more effective. Of course, Netflix is hedging its bets. It's been pushing social networking "friend recommendation" features for a while as well.

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