An Unsupervised Technical Readability Ranking Model by Building a Conceptual Terrain in LSI
Searching for domain-specific related information has gained a high popularity in recent years.Naturally,everyone is not at par with each other when it comes to knowledge about the concepts of a domain.A doctor may be well versed in her field of specialization and probably would search for advanced medical documents on the Internet.But she may look for a much simpler material related to Computer Programming.However,current information retrieval (IR) systems just return a mixed set of results based on similarity and popularity of the web pages.Existing methods which have tried to address the issue of matching readers with texts in domain-specific IR either use an ontology or some seed concepts thereby limiting their application in certain domains only.Moreover,readability methods cannot address the issue in domain-specific IR ranking because they fail to give precise prediction when applied on web pages.We address this problem in domain-specific search using a conceptual model where the sequence of the terms in a document is modeled as a connected conceptual terrain.Our model has achieved significant improvement in ranking documents by technical readability.
Shoaib Jameel Xiaojun Qian
Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong
国际会议
第8届语义知识与网络国际会议(2012 Eighth International Conference on Semanties,Knowledge and Grids )(SKG2012)
北京
英文
39-46
2012-10-22（万方平台首次上网日期，不代表论文的发表时间）