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Web 2.0 contents for connecting learners in online Learning Network

The paper proposes a conceptual model for designing a people-finding system in a Learning Network. The system is intended to help a learner in getting recommendation about suitable people who are interested on a similar topic and share common learning goal with the current learner. We propose that by using the user-generated (text) content, social-bookmarking and social-tagging, driven by Web 2.0 approaches, we can implicitly profile people and find people's interests on a given topic. We also like to use their existing social connections as an evidence to select suitable people in recommending a learner.