Survey on Query Facets Mining Approaches

Important features of a query are generally presented and repeated in the top retrieved documents in the style of lists. Query facets can be extracted by collecting these significant lists. Query facets may provide direct information or instant answers that users are seeking i. e. user can select a particular facet item which he found relevant to his search need. So the list format style is much more user friendly than displaying searches sentence wise. The scope of this survey is limited to get search results of a query in list format i. e. facets. Previously there has been lot of work done for retrieving more relevant data to users in order to meet their information needs thus improving performance of search engines. Search engine provide the platform for users to describe their information need more clearly by using query facets mining. Different approaches for extraction of query facets from web search results to assist information finding for queries are discussed along with similar techniques used earlier for information retrieval of queries. Query facets represents interesting facets of a query using groups of semantically related terms extracted from search results. This paper reviews techniques that represents interesting facets of a query using groups of semantically related terms extracted from search results along with approaches that are similar to query facets mining.