The social web lets us send out a constant stream of Facebook likes, Twitter tweets, Foursquare check-ins, social commerce reviews, and other recommendations about things we’ve experienced and want to share with our friends. These products, services, businesses, places, movies, music, articles, etc. are expressions of customer and influencer engagement and loyalty that brands have successfully started to leverage to grow their businesses.
But what about the other side of the stream: the trusted referrals and recommendations we receive from our friends, as well as the things we discover on our own, and want to buy, read, visit, or listen to later? In other words: our intent to do something. There is a tremendous and largely untapped opportunity for brands to identify consumers who have overtly expressed interest and to 'harvest their intent' by helping them to bridge the gap between discovery and action with useful, timely and relevant information and offers.
People have always been the primary vehicle by which music spread around the world – from the days of the wandering minstrels to the heyday of radio DJs and then on to tight-knit circles of fans rallying together around photocopied ‘zines. Fast forward to today digital’s world and social networks as well as social music services such as turntable.fm have dramatically changed the way people share music. Recommendations technology guru Michael Papish will dive into the different approaches to deploying recommendations—from tools to match our mood to the personal touch of editorial, the impact that the interplay of computer-generated recommendations within social networks will have, and the importance of tagging/curating data as part of the recommendation process. Michael will also tackle the million-dollar questions for music recommendations: Are we making good recommendations? How do we make them better? Do we possess tools to evaluate success or do recommendations remain a Dark Art?