Automatically categorizing bookmarks from customized folders and implementation based on web browsing activity

A computer-implemented method, comprising:

• collecting information which corresponds to internet browsing activity;
• detecting that a bookmark was created for a first website;
• creating keyword and density pairs (KDPs) for the first website using the information collected prior to detecting that the bookmark was created, wherein creating the KDPs includes:
• extracting a plurality of keywords from the first website, and
• calculating a density value for each of the plurality of keywords based on the information collected prior to detecting that the bookmark was created;
• calculating a total density for each of a plurality of nodes included in a tree structure, wherein calculating the total density for a given node is based on a number of keywords which overlap between the given node and the KDPs for the first website;
• and
• recommending that the bookmark be added to a node having a greatest total density.

A computer program product comprising a computer readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, the program instructions readable and/or executable by a processor to cause the processor to perform a method comprising:

• collecting, by the processor, information which corresponds to internet browsing activity;
• detecting, by the processor, that a bookmark was created for a first website;
• creating, by the processor, keyword and density pairs (KDPs) for the first website using the information collected prior to detecting that the bookmark was created, wherein creating the KDPs includes:
• extracting a plurality of keywords from the first website, and
• calculating a density value for each of the plurality of keywords based on the information collected prior to detecting that the bookmark was created;
• calculating, by the processor, a total density for each of a plurality of nodes included in a tree structure, wherein calculating the total density for a given node is based on a number of keywords which overlap between the given node and the KDPs for the first website;
• and
• recommending, by the processor, that the bookmark be added to a node having a greatest total density.