Group items tagged

even induiken wat het allemaal betekent..

Bundle of identity, trust, profiling, and attention services.. INTERESTING!!!!!! OpenID Use this service to quickly and easily create your own OpenID Account. Profiler Feed the AttentionProfiler your Attention Data and it will update your APML file. Developers Consume Engagd Web Services through your App or Mashup to instantly add Attention Awareness. ItemRank Give ItemRank a piece of content and it will return a Personal Relevancy Rank based on your APML file (+ other things) More coming... This is just the beginning. We will be adding more services soon.

APML allows users to share their own personal Attention Profile in much the same way that OPML allows the exchange of reading lists between News Readers. The idea is to compress all forms of Attention Data into a portable file format containing a description of ranked user interests.

heel erg relevant. mooie ontwikkelingen. goed in de gaten houden.

is relevant voor ons: APML is een mogelijke standaard voor datgene wat wij (tenminste gedeeltelijk) willen pakken met onze engine, en waar onze engine uiteraard ook aan moet voldoen.

A complete description of APML and attention profiling.

leuk. een game voor het simuleren van een online netwerk. met recommendations en attention tokens. misschien een redesign en dan

Ulises Mejias designed an offline game simulating online networking.

another article about attention profiling

nog een artikel over attention metadata

article about APML and attention metadata

belangrijke ontwikkelingen (metadata standaarden etc.) voor het verbeteren van het aanbieden van content door het meten en gebruiken van context.

4 verschillende metrics worden behandeld; Link Analysis Ranking, Similarity Recommendation, Personalized Ranking, Contextual Recommendation.

The tools used to search and find Learning Objects in different systems do not provide a meaningful and scalable way to rank or recommend learning material. This work propose and detail the use of Contextual Attention Metadata, gathered from the different tools used in the lifecycle of the Learning Object, to create ranking and recommending metrics to improve the user experience. Four types of metrics are detailed: Link Analysis Ranking, Similarity Recommendation, Personalized Ranking and Contextual Recommendation. While designed for Learning Objects, it is shown that these metrics could also be applied to rank and recommend other types of reusable components like software libraries.

filter mechanisme

Filtered feed

Deze service is APML enabled: APML is een standaard voor het delen van activity profiles, oftewel "Attention Profiles".

Cluztr is a social network built around web clicks. Share your clicks with your friends, meet like-minded people and discover new content based on personalized recommendations.

handig om hiervan op de hoogte te zijn..

interesting discussion about APML...

Social Resource and Metadata Hub Upload and share your files and bookmarks, join groups and communicate with others! ALOE features * feed support for all open groups * the ALOE bookmarklet * full UTF-8 support * an improved web interface

ALOE learning network, maakt gebruik van CAM: Contextualized Attention Metadata. Vanuit research gestart.