In this paper, we deal with information retrieval approach based on language model paradigm, which has been intensively investigated in recent years. We propose, implement, and ev...
Abstract. Previous work has shown that modeling relationships between articles of a regulation as vertices of a graph network works twice as better than traditional information ret...
Passage retrieval and pseudo relevance feedback/query expansion have been reported as two effective means for improving document retrieval in literature. Relevance models, while im...
Abstract. One major goal of text mining is to provide automatic methods to help humans grasp the key ideas in ever-increasing text corpora. To this effect, we propose a statistica...
Implicit feedback algorithms utilize interaction between searchers and search systems to learn more about users’ needs and interests than expressed in query statements alone. Th...