Promoting Document Relevance Using Query Term Proximity for Exploratory Search

In the information retrieval system, relevance manifestation is pivotal and regularly based on document-term statistics, i.e., term frequency (tf), inverse document (idf), etc. Query proximity (QTP) within matched documents mostly under-explored. this article, a novel framework proposed to promote among all relevant retrieved ones. The estimation weighted combination of statistics query term-term simply aggregates diverse user preferences aspects in formation, thus adapted into with conventional measures. Intuitively, QTP exploited for balanced exploitation-exploration, eventually navigate search towards goals. evaluation asserts usability measures balance several seeking tradeoffs, e.g., relevance, novelty, result diversification (coverage, topicality), overall retrieval. assessment trails indicates significant growth learning outcome (due novelty).