DSRIM: A Deep Neural Information Retrieval Model Enhanced by a Knowledge Resource Driven Representation of Documents
Table 2. Cosine similarities of the knowledge resource-driven representation on most similar (Top_10) and less similar (Less_10) documents, averaged on 100 random pivotal documents. diff: difference between Top_10 and Less_10
['Clustering', '#Clusters  [ITALIC] k', 'Repres. obj.  [ITALIC] R( [ITALIC] ci)', 'GOV2 Top_10', 'GOV2 Less_10', 'GOV2 diff', 'PMC Top_10', 'PMC Less_10', 'PMC diff']
In practice, given a randomly selected document (called a “pivotal document”), a good vectorial representation should 1) ensure that the distance between the pivotal document and each other document of the collection is non-uniform, and 2) maximize the distance between its most similar documents and its less similar ones.