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Method and system for the utilization of collaborative and social tagging for adaptation in web portals

  • US 7,536,637 B1
  • Filed: 02/07/2008
  • Issued: 05/19/2009
  • Est. Priority Date: 02/07/2008
  • Status: Expired due to Fees
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Assignment
First Claim
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1. A computer implemented method of providing a navigation topology in a portal supporting a social network, said method comprising:

  • annotating portal resources;

    wherein said portal resources are uniquely identifiable fragments;

    wherein said portal resources comprise one or more of the following;

    page, portlet, user, email, wiki, blog post, or applet;

    wherein said annotation is performed by a user, or is performed automatically by extracting some data from first portal resources among said portal resources visited by said user;

    an automated bot annotating said portal resources;

    storing said user generated annotations and said bot generated annotations in an annotation store accessible by a plurality of different annotators;

    tracking said user'"'"'s annotating behavior, based on all annotations applied to said portal resources which said user visits or uses;

    deriving a user model based on all users'"'"' annotating behavior, said all users'"'"' preference and interest, and said all users'"'"' profiles, using a web mining method;

    wherein said web mining method comprises at least text mining;

    assigning said user to a group model based on said web mining method and recommending changes made by a specific fraction of other group members of said group model to said user;

    deriving a context model based on one or more of factors;

    wherein said one or more of factors comprise one of said user'"'"'s annotating behavior, timing of resource annotations, a device said user is working with, and a location of said user;

    determining similarities and relationships between said portal resources and tags, by calculating a semantic distance between said tags and said portal resources;

    partitioning said user model into a sole partition for each context profile available in said context model;

    automatically determining a matching profile, by observing a set of predefined context attributes;

    wherein said user has an option to override said matching profile;

    dynamically adopting a navigation topology for each of said all users, by generating a tree model at run time, based on behavior of said each of said all users and current context;

    wherein a tag-driven structure has a minimum click distance between content elements that are annotated;

    wherein said navigation topology comprises a dynamic node;

    wherein said dynamic node is associated with a transformation;

    wherein said dynamically adopting said navigation topology comprises constructing a topology by traversing said tree model, and invoking said transformation;

    wherein said transformation performs its specific operation to generate a sub-model;

    wherein said specific operation comprises one of moving or hiding navigation tree nodes depending on their relevance;

    wherein said sub-model is phased into said navigation topology, directly underneath said dynamic node; and

    displaying said constructed topology to said user.

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