Golden Retriever: Question Retrieval System
Hamman W. Samuel; Mi-Young Kim; Sankalp Prabhakar; Mohomed Shazan; Mohomed Jabbar;
Golden Retriever: Question Retrieval System
Duplicate questions get posted on QaA online forums because users may not be aware of similar questions. Our proposed system, Golden Retriever, can recommend existing questions that are semantically related to incoming questions. Compared with other existing techniques such as Latent Semantic Indexing, Language Model and Semantic Similarity, our approach shows good results for the ICHI Healthcare Data Analytics Challenge dataset using normalized TF-IDF, relevance heuristics, and semantic relatedness.
- University of Alberta Canada
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These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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