Mining facets for queries from their search results using QD miner
Author(s): Modi Sreelatha
Abstract: Query Faceted search is a technique for searching users to find, analyze, and navigate through searchdata form online web pages. It is generally utilized in internet business and computerized libraries. A compelling methodology for aspect search is the extent of its usage. Most existing faceted pursuit and features age frameworks are based on a particular space or predefined aspect classifications. Aspect chains of importance are created for an entire assortment, rather than for a given question. Proposed aspects scanning framework for data disclosure and media investigation in online indexed lists. Right now, framework investigates to naturally discover inquiry related part of quest for shopping-area inquiries in web crawler. Features of an inquiry are consequently mined from the top web indexed lists of the question with no extra area information required. As inquiry aspects are acceptable synopses of a question and are possibly valuable for clients to comprehend the inquiry and assist them with investigating data.
Modi Sreelatha. Mining facets for queries from their search results using QD miner. Int J Commun Inf Technol 2020;1(1):44-47. DOI: 10.33545/2707661X.2020.v1.i1a.7