Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Context  surrounding hyperlinked semi-structured documents, externally in the form of citations and internally in the form of hierarchical structure, contains a alth of useful but implicit evidence about a document's relevance. These rich sources of information should be exploited as contextual evidence.  proposes various methods of accumulating evidence from the context, and measures the effect of  contextual  evidence on retrieval effectiveness for document and focused retrieval of hyperlinked semi-structured documents.    propose a re-ighting model to  contextualize  (a) evidence from citations in a query-independent and query-dependent fashion (based on Markovian random walks) and (b) evidence accumulated from the internal tree structure of documents. The  in-links  and  out-links  of a node in the citation graph are used as external context, while the internal document structure provides internal, within-document context.  hypothesize that documents in a  good  context (having strong contextual evidence) should be  good  candidates to be relevant to the posed query, and vice versa.    tested several variants of contextualization and verified notable improvements in comparison with the baseline system and gold standards in the retrieval of full documents and focused elements.
['Muhammad Ali Norozi', 'Paavo Arvola', 'Arjen P. de Vries']
I am writing a research paper on a idea Contextualization using hyperlinks and internal hierarchical structure of Wikipedia documents
[{"from": "human", "value": "I am writing a research paper on a idea Contextualization using hyperlinks and internal hierarchical structure of Wikipedia documents"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Context  surrounding hyperlinked semi-structured documents, externally in the form of citations and internally in the form of hierarchical structure, contains a alth of useful but implicit evidence about a document's relevance. These rich sources of information should be exploited as contextual evidence.  proposes various methods of accumulating evidence from the context, and measures the effect of  contextual  evidence on retrieval effectiveness for document and focused retrieval of hyperlinked semi-structured documents.    propose a re-ighting model to  contextualize  (a) evidence from citations in a query-independent and query-dependent fashion (based on Markovian random walks) and (b) evidence accumulated from the internal tree structure of documents. The  in-links  and  out-links  of a node in the citation graph are used as external context, while the internal document structure provides internal, within-document context.  hypothesize that documents in a  good  context (having strong contextual evidence) should be  good  candidates to be relevant to the posed query, and vice versa.    tested several variants of contextualization and verified notable improvements in comparison with the baseline system and gold standards in the retrieval of full documents and focused elements."}]