by Mike Masnick
Thu, Mar 15th 2012 3:55pm
Filed Under:
bigamy, divorce, friends, recommendations
Companies:
facebook
by Mike Masnick
Mon, Mar 5th 2012 3:26pm
Filed Under:
bands, lastsxsw, music finder, recommendations, sxsw, trademark
Companies:
sxsw
Too Bad: SXSW Shuts Down Useful App For Finding New Bands You'd Like
from the why? dept
To that end, each spring sees a new crop of tools that let you apply your personal taste to the SXSW artist list to find bands to see, or at the very least, hear from afar. Lastsx.sw is the best we’ve seen this year so far.Neat, right? Except at the top of the story, Evolver now notes that SXSW forced the app to shut down. Digging deeper, and on the lastsx.sw page they explain:
EarthPeople cobbled together the nicely-designed Lastsx.sw by grabbing your favorite artists from Last.fm (you are scrobbling, aren’t you?), finding similar artists in the SXSW 2012 artist list, and presenting you with handy links so you can hear those artists on Spotify and check out their official websites.
Lastsx.sw worked great for me — in fact, I’m enjoying some new (to me) stuff courtesy of the site right now in Spotify and scrobbling it to both Facebook and Last.fm, but that’s a different story. Also, I may never have realized that old fave The Wedding Present are playing SXSW this year, so now I have that to look forward to.
we had to shut down this site.They do, however, have their source code up for anyone who wants to do anything about it. Either way, this seems like a silly move by SXSW. Every year tons of new apps show up, and use SXSW as a useful proving ground. SXSW encourages this. And this seems like a particularly useful app for the music side of the event. Clearly, the concern from SXSW is over the trademark issue, and the fact that the app has "SXSW" sort of included in the name. But the likelihood of confusion here was slim to none. Just because someone uses your name in an accurate and descriptive manner doesn't mean that there's infringement.
sxsw lawyers:
"We strongly believe that anyone who sees your solicitations or promotions will assume that we are endorsing your company".
as if this was a company endevour, or had any promotions or solicitations. total lameness. here's a thought for you: launch a public api. have a look at roskildelabs.com. their idea/attitude: perfect.
More importantly, as the folks who made the app note, this was not a commercial endeavor. For trademark infringement to occur, it has to be used in commerce. In other words, no trademark infringement, and it's too bad that SXSW jumped the gun in threatening these app makers. I realize they want to protect the SXSW trademark, but part of that is not over-protecting and going beyond what the law allows -- especially if doing so shuts down useful and innovative tools. Hopefully, SXSW recognizes the error of its ways and changes its mind on this one.
by Mike Masnick
Fri, May 15th 2009 7:33pm
Filed Under:
answers, automation, community, explanations, recommendations, value
The Value Of Twitter As Compared To Google
from the it's-growing dept
Cuban gives an example of trying to buy a car, where there may be a lot of value in being able to message a guru on the type of car he wants to buy via Twitter (or, better yet, finding a few of them). I know I've found Twitter to be useful in this manner. A few months ago, I was looking for a new backpack for my computer -- and I had very specific requirements (such as the ability to carry both a laptop and a netbook at times comfortably). It was quite difficult to come up with a Google query that made sense for such a thing, but I could ask it easily in 140 characters and plenty of people could easily understand it, and then provide thoughts and recommendations. It comes back to two points:
- Having real humans respond to a query works well for more specific queries that simply aren't well automated.
- Perhaps much more importantly, real people can better offer recommendations or explanations than an automated query on Google, which simply seeks to find data or answers.
by Dennis Yang
Thu, Mar 19th 2009 5:17pm
Filed Under:
negativity, recommendations, reviews
Companies:
yelp
What Would Yelp Be Without The Negativity? Recommendations Instead Of Reviews
from the nothing-nice-to-say dept
Here's a thought. Whenever I visit a new city, I ask my friends for their recommendations, not reviews, of restaurants in the area. While it might be amusing to hear them rant about how awful such-and-such place was, ranting really does little good when trying to pick a place to eat out of the vast array of options that a typical city has to offer. Instead, maybe it's time for Yelp to put on the rose-colored glasses and offer an alternative view of the world: one where only recommendations exist. This is the approach taken by eats.it, a restaurant recommendation site that currently only serves San Diego. With no bad reviews to complain about, the complaint that a merchant doesn't get enough recommendations sounds much more like sour grapes. Furthermore, advertising on a page that features only recommendations of their establishment is a much more palatable proposition. Is the consumer less served by this rosy-eyed view of the world? Perhaps, but it would not be hard to see which establishments received less recommendations than others. Maybe mothers everywhere knew the answer all along when they advised: "if you have nothing nice to say, say nothing at all."
by Mike Masnick
Tue, Jan 13th 2009 2:48am
Filed Under:
patents, recommendations
Companies:
amazon, cbs, hulu, last.fm, nbc universal, netflix, news corp., ocean tomo, pandora, quito, realnetworks, slacker, veoh, yahoo
Ocean Tomo Patents Being Used To Shake Down Companies That Have Online Recommendations
from the ebay-for-patent-trolls dept
As you look through that list, you'll recognize that some have done significantly innovative work in taking the concept of an online recommendation system and actually making it useful. The simple idea of doing recommendations is pretty straightforward. Making it work well? Not so much. Hell, that's why Netflix is offering $1 million to anyone who can improve their recommendation engine by just 10%. The basic ideas expressed in the patent are not where the value in these recommendation systems lies. It's in the actual effort of figuring out how to make them work better. This patent has nothing to do with the actual success of a recommendation system, but the holders of it may now get a pay day just for holding the patent, thanks to Ocean Tomo's auctions. And, of course, this means that all of those companies that were actually innovating will, at the very least, now need to spend legal dollars defending against this massive innovation blocker.
The Long Tail Is Only As Good As The Recommendation System
from the that's-how-it's-supposed-to-work dept
But, the fact remains that the finding of that content is entirely dependent on the filtering and recommendation systems, which is highlighted in the recent NY Times piece by Clive Thompson about attempts to improve Netflix's recommendation engine (and, yes, this is the second post I've written on that article, but this is discussing an entirely different issue than the first, so it seemed worthwhile). In the article, Thompson notes:
Cinematch has, in fact, become a video-store roboclerk: its suggestions now drive a surprising 60 percent of Netflix’s rentals. It also often steers a customer’s attention away from big-grossing hits toward smaller, independent movies. Traditional video stores depend on hits; just-out-of-the-theaters blockbusters account for 80 percent of what they rent. At Netflix, by contrast, 70 percent of what it sends out is from the backlist — older movies or small, independent ones. A good recommendation system, in other words, does not merely help people find new stuff. As Netflix has discovered, it also spurs them to consume more stuff.Basically, that entire paragraph explains the issue. A good recommendation system does two things: it gets people to consumer more -- and it introduces them to stuff they might not have heard about otherwise. But, that second part is not necessarily the same as the first part. Many people assumed, incorrectly, that the greatness of such "long tail filters" was that it would drive people to consumer more down the tail -- but as Netflix is seeing, the good recommendation engine drives people to consume more content in both the head and the tail.
And, when you think about it, that makes an awful lot of sense. Popular stuff often is popular for a reason. While some may disagree, things are often popular because they really do appeal to a lot of people, so it should be no surprise that a good recommendation system would increase consumption in the head: it's accurately noting that an awful lot of people will like that content. But that doesn't exclude promoting some of the content from the tail. Since the recommendation system is driving more consumption overall, it's "lifting all boats" as they say, even if (as is likely) it lifts the boats in the head more than in the tail. In the past, that content in the tail wouldn't get any business at all, but these days it can at least make some money, if not a huge amount.
So, no the concept of the long tail is hardly dead or even in trouble (or, as Orlowski notes, downgraded). Instead, it's just being understood better.
by Mike Masnick
Tue, Apr 22nd 2008 7:20pm
Filed Under:
changing market, online, recommendations, record store
Companies:
other music





