Google Search: Change is Coming
mashable.com
mashable.com
Joke apart, Google has always been the way I search for KNOWLEDGE. Because of this "Social trend", it tends to become more and more aimed at searching for TRENDS. And they are two totally different things and pretty much... incompatible. Don't mix it up Google!
For any other additional information about search or more relevant results, I'm in!
If I type "pho" and hit enter, I expect to be taken to search results about "pho", but instead Google automatically fills in the rest and searches for "phone". I then have to backspace and do another search just for pho. Instant search on Google.com is infuriating as well in that it doesn't work reliably. It will guess three or four times as to what I'm searching for as I type, then give up and say "hit enter to perform your search". That's what I want to do anyway! In the meantime, I've been distracted by a flashing page while I'm typing.
For that matter, who I am going to share my emails with on Gmail? Get Google Plus out of my face.
The problem with search right now is that PageRank is not at all a good indicator of individualizing social search results, and contrary to Facebook's, reddit's, or the new, hot social network's goals, the social network ecosystem is constantly evolving. In ten years, I hope, for the sake of progress, that the social networks we have now are mostly dead, relegated to the core of dedicated users similar to sites like metafilter, MySpace and kuro5hin.
What I'm awaiting is a dedicated, personalized (but not 'personalized' or Personalized) social search engine that has enough implicit value for user buy-in. A search engine with enough context to make the facebook wall obsolete.
This hybrid search that Google is attempting wont have the value that they think it does - Wikipedia already does that, and better, without ads. Google needs to step back and think about what made their approach to search a killer app ten years ago and try and understand how to apply that value to the search needs of people today, instead of trying to apply their model from ten years ago to the search needs of people today.
Every time I notice subtle changes to my search results with Google, it's because they are worse [in the sense that they are less relevant to the actual terms I have searched for].
>'"the most important thing about an artist is his greatest works."'
That doesn't mean they are the most relevant results for my search terms.
When Google search first started suggesting that I had mistyped a term, it still returned results for the mistyping, and just notified me of the possibility. Now, it assumes that I mistyped a search term and returns results of what it thinks I requested. [edit] At times this is helpful but the times when it isn't more than offset any benefit [/edit]
In the old days, Google search would actual give me results from all over the world for my search terms, now it filters them for the US - searching for a foreign term or something that one knows is on a foreign site is a real PITA, these days.
It's all driven, not so much by relevance to me, but by relevance to advertisers. There's little money to be made if "German Bakery" returns a website in Berlin compared to if it returns a map to the one in my local Publix supermarket.
[1] https://www.google.com/search?q=monet [2] https://www.google.com/search?q=monets+birthplace
Then, out of the blue, Google started giving me the answers directly, saying that it had calculated some number by averaging X sources. But that's not the odd part.
The odd part? The Google search page then asked me if that number was correct. I've never seen that before or since.
But I saw something different back then, because it had a little yes/no selection asking if I thought the information was accurate. I have not seen that question except for that one time.
And after I had done a lot of searches, Google asked me how accurate the information was. As I recall, it seemed fairly reasonable for that particular query.
Sounds like WolframAlpha.
Just saying that there are folks building search engines, blekko.com and duckduckgo.com are examples.
Many people share your dislike for the privacy aspects (or lack there of) to which Google has gone.
[disclaimer: per my bio I work at blekko.com and I consider myself friends with Gabe over at duckduckgo :-) doesn't take away from the fact that there are exemplars of people building new search engines]
Google is heading the false direction.
I would have to assume that going forward any tweak to the Google user experience will in some way benefit their social initiative. It seems to matter a lot to them.
OMG, what kind of sophisticated AI did they use to accomplish this? I'm thinking random forests mixed with neural networks and SVMs.