Hashtag-centric Immersive Search on Social Media
This work addresses the challenge of immersive search across multiple social media platforms for users seeking integrated information, but it is incremental as it builds on existing hashtag-based methods.
The paper tackled the problem of integrating cross-platform social media information by using hashtags as a bridge for aggregation and organization, proposing a three-stage framework for hashtag representation, clustering, and demonstration, and validated its effectiveness through qualitative and quantitative experiments on hundreds of trending event queries.
Social media information distributes in different Online Social Networks (OSNs). This paper addresses the problem integrating the cross-OSN information to facilitate an immersive social media search experience. We exploit hashtag, which is widely used to annotate and organize multi-modal items in different OSNs, as the bridge for information aggregation and organization. A three-stage solution framework is proposed for hashtag representation, clustering and demonstration. Given an event query, the related items from three OSNs, Twitter, Flickr and YouTube, are organized in cluster-hashtag-item hierarchy for display. The effectiveness of the proposed solution is validated by qualitative and quantitative experiments on hundreds of trending event queries.