Norele.com. Search post-material scarcity - Search. Facebook Unveils One of History's Most Powerful Recommendation Engines. Facebook just announced the availability of a new feature for users creating accounts on the social network: Suggested Interests.
Facebook will now recommend that new users sign up for updates from ("Like") publishers with high reader engagement and subscribed-to by people demographically similar to themselves. That's a unique combination of factors that only Facebook could offer. If this intersection of 3 key social software trends is someday exposed more fully to all 500 million Facebook users and more - the Facebook vs. FinderMind — People Search Help.
Chomp: An Apps Search Engine Or “Yelp For The App Store” Chomp could be described as a search engine for iPhone apps (and eventually other apps stores).
It’s a two-month old iPhone app and more recently a website, which resembles Twitter, whose objective is to enable people to more easily discover and review iPhone apps. The proliferation of 160,000 iPhone apps has created the well-documented problem of app discovery for consumers and app marketing for developers. Getting attention as an iPhone app has become increasingly difficult as the iTunes app store has mushroomed. Enter Chomp, co-founded by mobile entrepreneur and former Aardvark advisor Ben Keighran. Keighran told me that in just over eight weeks since launch Chomp has 300,000 users who are actively engaged in writing reviews on the app and now the recently launched site. The site makes 5 percent affiliate revenue off paid app referrals it drives to Apple. What can search predict? - Statistical Modeling, Causal Inference, and Social Science. You’ve all heard about how you can predict all sorts of things, from movie grosses to flu trends, using search results.
I earlier blogged about the research of Yahoo’s Sharad Goel, Jake Hofman, Sebastien Lahaie, David Pennock, and Duncan Watts in this area. Since then, they’ve written a research article. Here’s a picture: And here’s their story: We [Goel et al.] investigate the degree to which search behavior predicts the commercial success of cultural products, namely movies, video games, and songs. The punchline: We [Goel et al.] conclude that in the absence of other data sources, or where small improvements in predictive performance are material, search queries may provide a useful guide to the near future. I like how they put this. Sharad’s paper is cool. The free dictionary.
Asa Dotzler: Firefox and more: if you have nothing to hide... Travel Research Socialized. Funnel Scope Travel Search Engine. Unbiased Travel Reviews. Federated Discovery vs. Persistent Context – Enterprise Intelligence Requires the Later. When a key piece of data changes in the enterprise, one must first treat this new data like a query (i.e., what does this new data mean in relation to what the enterprise already knows).
And if new data is not treated first like a query, one will never know if this new information matters unless someone asks. I often refer to this notion as Perpetual Analytics – a world where the "data finds the data and the relevance finds the user. " Alltop, all the top stories. Why Are Web Sites So Confusing? Do you sometimes get the feeling that Internet portals, search pages, social networks, e-commerce, and other Web sites are not necessarily designed in order to maximize user convenience and benefits?
We do, too. Why—you might ask? For a fundamentally similar reason to why some retail stores place the most popular items (e.g., bread, milk) in the furthest possible place from the entrance; that shopping malls seem designed to make sure you get lost at every single visit; and that popular magazines drown the content they carry in a sea of advertising with no clear table of contents and split stories.
Indeed, all of these intermediaries are in the business of matching consumers with products. Trouble is, prior to visiting an intermediary, consumers are interested only in some products, which may not necessarily be the ones that yield the highest margins for the intermediary. TheFind - Shopped & Found. Startpage.com Search Engine – Protect Your Online Privacy: Search Securely, Anonymously, And With Privacy With startpage Search Engine.
Better search engine with social bookmarking and sharing plus social networking. Conversational Search — BackType. Wolfram. How To: Backup And Search All Your Friends' Tweets In Google Reader. I just set up an automatic backup of all 3000 of my friends' Twitter messages and became able to search through their Twitter history two years into the past with just five minutes of easy clicking.
Only two things are required: Dave Winer's new Twitter OPML tool and a Google Reader account. Twitter's search engine only goes back about a week and a half. Sometimes you want to retrieve a message you saw, or get a feeling for what your circle of friends said about something, from longer ago than that. We wrote yesterday about 10 Ways To Archive Your Tweets. The next step is to archive the Tweets of everyone else you find of interest, and make them searchable. Historical gdp of the us.