Medical Information Retrieval Enhanced with User's Query Expanded with Tag-Neighbors

Publisher:
Springer, New York, NY
Publication Type:
Book
Citation:
2013
Issue Date:
2013
Full metadata record
Files in This Item:
Filename Description Size
template.pdfAccepted Manuscript654.83 kB
Adobe PDF
Under-specified queries often lead to undesirable search results that do not contain the information needed. This problem gets worse when it comes to medical information, a natural human demand everywhere. Existing search engines on the Web often are unable to handle medical search well because they do not consider its special requirements. Often a medical information searcher is uncertain about his exact questions and unfamiliar with medical terminology. To overcome the limitations of under-specified queries, we utilize tags to enhance information retrieval capabilities by expanding users’ original queries with context-relevant information. We compute a set of significant tag neighbor candidates based on the neighbor frequency and weight, and utilize the qualified tag neighbors to expand an entry query. The proposed approach is evaluated by using MedWorm medical article collection and results show considerable precision improvements over state-of-the-art approaches.
Please use this identifier to cite or link to this item: