Recommendation
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About || Percolate
Speed and scale. Before the internet messages were measured by months in market, not minutes. Brands created a few pieces of stock content each year and then spread those messages out in bursts.
Kleiner-Backed Lockerz Acquires Social Sharing Platform AddToAny | TechCrunch
Exclusive- Social commerce network Lockerz has acquired social sharing platform AddToAny. Financial terms of the acquisition were not disclosed. AddToAny, which has never raised any outside financing and is profitable , allows users to share and bookmark online content with social networks, news aggregators, email services, and instant messengers.
6 Tips for Finding Great Content to Share on Twitter | Business 2 Community
In the land of Twitter, you are known by what you tweet Finding and sharing great content is the key to establishing yourself as a thought leader in the arena of social media. Here are some Twitter tips on how to find and share great content:
This document briefly describes the technical details of Advogato's trust metric. The basic trust metric evaluates a set of peer certificates, resulting in a set of accounts accepted. These certificates are represented as a graph, with each account as a node, and each certificate as a directed edge.
Trust Metric
BOOKS TOOLBOX: 50+ Sites for Book Lovers
Lulu , a book publishing site, is in the news this week. But there are many more sites for book reviews, self-publishing and exchange. Here are more than 50 of our favorites.
OpenRecommender | What will you share today?
Imagine a world where we didn’t have to go looking for what we wanted to see (in other words, where we were able to "discover" new things that we didn’t yet know we wanted to see, but end up loving the new things and learning or gaining a new interest).Recommender systems or recommendation systems (sometimes replacing "system" with a synonym such as platform or engine) are a subclass of information filtering system that seek to predict the 'rating' or 'preference' that a user would give to an item (such as music , books , or movies ) or social element (e.g. people or groups ) they had not yet considered, using a model built from the characteristics of an item (content-based approaches) or the user's social environment (collaborative filtering approaches) [ 1 ] [ 2 ] . Recommender systems have become extremely common in recent years.
Recommender system - Wikipedia, the free encyclopedia
Since last year that I haven’t added any post on my blog, but I would like add new posts. This year I’ll start sharing publishing the work carried out in order to get my degree. The document is currently in spanish.
Recommendation’s Engine based on Spread Activation algorithm « Álvaro Brange’s Blog.
Add recommendations to your website Use our public evaluation instance of easyrec to integrate recommendations into your applications. For further information on how to use the evaluation service have a look at the get started page.