Leveraging the semantics of tweets for adaptive faceted search on twitter

摘要: In the last few years, Twitter has become a powerful tool for publishing and discussing information. Yet, content exploration in requires substantial effort. Users often have to scan information streams by hand. this paper, we approach problem means of faceted search. We propose strategies inferring facets facet values on enriching semantics individual messages (tweets) present different methods, including personalized context-adaptive making search more effective. conduct large-scale evaluation strategies, show significant improvements over keyword reveal benefits those that (i) further enrich tweets exploiting links posted tweets, (ii) support users selecting value pairs adapting interface specific needs preferences user.