Challenges in QDMiner

  Vidya Dhere,  Shrikant R. Tandle

Query Faceted search is a way for searching users to find, analyze, and navigate through search data form online web pages. It is widely used in e-commerce and digital libraries. An effective approach for faceted search is the scope of this implementation. Most existing faceted search and facets generation systems are built on a specific domain (such as product search) or predefined facet categories. For example, Web search mining for an unsupervised contents by automatic extraction of facets that are relevant for search result for personal web search as user search interest pattern from text databases. Facet hierarchies are generated for a whole collection, instead of for a given query. Proposed facets searching system for information discovery and media exploration in online search results. Proposed system extracts and aggregates the useful semantic information from the specific knowledge database Wikipedia. In this paper, a proposed system explores to automatically find query related aspect of search for open-domain queries in Web search engine. Facets of a query are automatically mined from the top web search results of the query without any additional domain knowledge required. As query facets are good summaries of a query and are potentially useful for users to understand the query and help them explore information, they are possible data sources that enable a general open-domain faceted exploratory search

Keywords- Query facet, faceted search, summarization, user intent

Unique Identification Number - IJEDR1803031
Page Number(s) - 176-179
Pubished in - Volume 6 | Issue 3 | July 2018
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Vidya Dhere,  Shrikant R. Tandle,   "Challenges in QDMiner", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.6, Issue 3, pp.176-179, July 2018, Available at :http://www.ijedr.org/papers/IJEDR1803031.pdf