Anzeige
Erschienen in:
2015 | OriginalPaper | Buchkapitel
Feedback Model for Microblog Retrieval
verfasst von : Ziqi Wang, Ming Zhang
Erschienen in: Database Systems for Advanced Applications
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Information searching in microblog services has become common and necessary for social networking. However, microblog retrieval is particularly challenging compared to web page retrieval because of serious vocabulary mismatch problem and non-uniform temporal distribution of relevant documents. In this paper, we propose a feedback model, which includes a feedback language model and a query expansion model considering both lexical expansions and temporal expansions. Experiments on TREC data sets have shown that our proposed model improves search effectiveness over standard baselines, lexical only expansion model and temporal only retrieval model.