Balancing precision and recall is a long-standing problem in Information Retrieval field. We tackle this problem with Selective Search, which divides the document collection into small shards and passes the user query to only a few selected shards. In contrast to the idea of Selective Search, is Exhaustive Search which passes the user query to the whole collection. Selective Search has shown higher performance than Exhaustive Search on efficiency and precision. However, recall with Selective Search has been lower because it misses some relevant documents.
Pharmacogenomics (PGx) and Precision Medicine are young, but rapidly evolving fields that are heralding development of tailored drugs. Knowing the impact of genetic variations on drug response, and other relevant information about the gene (structure, expression, function of its protein, interactions with other genes, drugs, and diseases) is invaluable to PGx researchers and practitioners. The VIP Summaries generated by PharmGKB curators provide exactly that for genes that have been identified as Very Important Pharmacogenes.
In the present world, social networks such as Twitter have become an important medium for the diffusion of information. Quantifying the connection between the users will help us understand the propagation of the knowledge. With this motivation, we focus on designing and implementing a host of reliable measurements to measure the similarity between two users on the Twitter microblogging platform. These measurements take into account both a user’s topical interests and her social connections.