Tag Recommendation for Folksonomies Oriented towards Individual Users

Tagging has become a standard way of organizing information on the Web, particularly in folksonomies – data repositories freely created by communities of users. A few tags attached to each resource create a bridge between heterogeneous data and users accustomed to keyword-based search and browsing. To establish this connection, tagging requires users to manually define tags for each resource they enter to the system. This potentially time-consuming step can be eased by tag recommender systems, which propose terms that users may choose to use as tags. This paper suggests and evaluates potential sources of recommended tags, focusing on folksonomies oriented towards individual users. These suggestions are used to propose a three-step tag recommendation system. Basic tags are extracted from the resource title. In the next step, the set of potential recommendations is extended by related tags proposed by a lexicon based on co-occurrences of tags within resource’s posts. Finally, tags are filtered by the user’s personomy – a set of tags previously used by the user.