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Thieme Hennis

Social Information Filtering: Algorithms for Automating "Word of Mouth'' - 0 views

  • Social Information filtering essentially automates the process of ``word-of-mouth'' recommendations: items are recommended to a user based upon values assigned by other people with similar taste. The system determines which users have similar taste via standard formulas for computing statistical correlations.
    • Thieme Hennis
       
      dit gebeurt bij Last.fm, Amazon, etc...
  • need not be amenable to parsing by a computer
  • may recommend items to the user which are very different (content-wise) from what the user has indicated liking before
  • ...5 more annotations...
  • ecommendations are based on the quality of items, rather than more objective properties of the items themselves
  • The basic idea is: The system maintains a user profile, a record of the user's interests (positive as well as negative) in specific items. It compares this profile to the profiles of other users, and weighs each profile for its degree of similarity with the user's profile. The metric used to determine similarity can vary. Finally, it considers a set of the most similar profiles, and uses information contained in them to recommend (or advise against) items to the user.
  • One observation is that a social information filtering system becomes more competent as the number of users in the system increases.
  • The system may need to reach a certain {\em critical mass} of collected data before it becomes useful.
  • Finally, we haven't even begun to explore the very interesting and controversial social and economical implications of social information filtering systems like Ringo.
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    article about social information filtering: items are recommended based upon values assigned by other people with similar taste.
Thieme Hennis

Attention Profiling: APML Beginner's Guide - Robin Good's Latest News - 0 views

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    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.
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    A complete description of APML and attention profiling.
Thieme Hennis

Engagd.com - 0 views

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    even induiken wat het allemaal betekent..
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    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.
Thieme Hennis

The Web of Identities: Making Machine-Accessible People Data - 0 views

  • In the future, ID providers will loosen their connection to social applications and start taking over management of users' social attributes. Users will be able to log in to applications using credentials hosted by their ID providers of choice and grant permissions to these applications to read or even sync selected fragments of their profile data. The borders of these walled gardens will thus blur, and the social Web will become more of a weave than a patchwork quilt.
  • In the future, ID providers will loosen their connection to social applications and start taking over management of users' social attributes. Users will be able to log in to applications using credentials hosted by their ID providers of choice and grant permissions to these applications to read or even sync selected fragments of their profile data. The borders of these walled gardens will thus blur, and the social Web will become more of a weave than a patchwork quilt.
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    In the future, ID providers will loosen their connection to social applications and start taking over management of users' social attributes. Users will be able to log in to applications using credentials hosted by their ID providers of choice and grant permissions to these applications to read or even sync selected fragments of their profile data. The borders of these walled gardens will thus blur, and the social Web will become more of a weave than a patchwork quilt.
Thieme Hennis

Naymz Support :: What is RepScore? - 0 views

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    proprietary profiling for professionals
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    proprietary profiling for professionals
Thieme Hennis

Cluztr - What are your friends clicking? - 0 views

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

APML - Attention Profiling Mark-up Language: The open standard for Attention Metadata - 0 views

    • Thieme Hennis
       
      ik begrijp de volgorde niet.. xml moet toch in het midden?
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    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.
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    heel erg relevant. mooie ontwikkelingen. goed in de gaten houden.
Thieme Hennis

Social Information Filtering: Algorithms for Automating" Word of Mouth'' - 0 views

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    This paper describes a technique for making personalized ecommendations from any type of database to a user based on similarities between the interest profile of that user and those of other users.
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    algorithme beschreven..
Thieme Hennis

Using Metadata for Storing, Sharing and Reusing Evaluations for Social Recommendations - 0 views

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    another article about attention profiling
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    nog een artikel over attention metadata
Thieme Hennis

Finding Communities of Practice from User Profiles Based On Folksonomies - 0 views

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    User profiles can be used to identify persons inside a community with similar interests. Folksonomy systems allow users to individually tag the objects of a common set (e.g., web pages). In this paper, we propose to create user profiles from the data available in such folksonomy systems by letting users specify the most relevant objects in the system. Instead of using the objects directly to represent the user profile, we propose to use the tags associated with the specified objects to build the user profile. We have designed a prototype for the research domain to use such tag-based profiles in finding persons with similar interests. The combination of tag-based profiles with standard recommender system technology has resulted in a new kind of recommender system to recommend related publications, keywords, and persons.
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    user profiles based on tagging
Thieme Hennis

Building A Smarter Corporation - Forbes.com - 0 views

  • Tacit's software, when installed in an enterprise, interacts with the e-mail system on every employee's desk and "learns" their expertise. No, it is not LinkedIn, where all individuals need to feed in their resumes and thereby "announce" their expertise. Tacit's artificial intelligence algorithms work in the background, reading all your e-mail exchanges, noting who you correspond with, how often and on what topics, and in this way, it creates a personalized profile of your areas of knowledge. Tacit's software includes privacy controls, so no one can access your profile without your permission.
    • Thieme Hennis
       
      kijk, dit bedoel ik nu. het is dus niet actief bijhouden wie en wat je bent, maar meer passief (en automatisch) dit laten uitrekenen door de software.
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    interesting article about smart social enterprises. Tacit Software as an example.
Thieme Hennis

yiid - Your Internet ID - 0 views

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    Welcome to yiid.com - A new service developed to help you build a social identity you can take with you on the web. You don't like to fill in your data again and again and you are fed up with regathering your contacts every now and then. Shortly you will be able to hop through communities using our openID (Yiid) and take along your data. JOIN NOW !
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