Posted by dmreinke on January 27, 2009
In a Guide to Recommender Systems, a blog post written by ReadWriteWeb founder and editor, Richard MacManus, 4 types of recommender systems are identified: Personalized recommendation – recommend things based on the individual’s past behavior Social recommendation – recommend things based on the past behavior of similar users Item recommendation – recommend things based on [...]
Posted by dmreinke on January 21, 2009
Will eBay incorporate social shopping into its fold? Link to another Vator.tv interview with Erik Stuart. Erik clearly understands the dynamics at play in social shopping and has pretty good advice for ThisNext.
Posted by dmreinke on January 21, 2009
What kind of startups is eBay interested in? Director of Corporate Strategy, Erik Stuart To quote Erik from his interview on Vator.tv: Social shopping is an interesting areas that still has potential that hasn’t been realized yet. The problem is that I don’t think anything that we’ve seen today is really a magic bullet in [...]
Posted by dmreinke on January 20, 2009
Charline Li, co-author of “Groundswell” and a thought leader on social and emerging technologies made some predictions for 2009 that included one for Social Shopping…
Posted by dmreinke on January 15, 2009
Just because you are struggling mightily fundraising doesn’t mean it’s because of the collapse in the financial markets. It could just be your business/idea isn’t that great.
Posted by dmreinke on January 14, 2009
An excerpt from Gavin O’Malley’s post Lines Between Media Channels Increasingly Blurred From 2006 to 2008, the share of U.S. consumers using shopping Web sites doubled from 17% to 35%, according to a study released Monday by public relations firm Ketchum and the University of Southern California Annenberg Strategic Public Relations Center. More revealing, perhaps, [...]
Posted by dmreinke on January 5, 2009
When I started StyleHop last year, one of my friends in acadamia shared Duncan Watts seminal work that essentially debunked the concept that marketers can predict hits by looking to the “influentials” in their product categories. Watts revisits this topic in Sunday’s Washington Post article: So You Can’t Pick the Hits. Neither Can Anyone Else: [...]
