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Improving Information Retrieval by Concept-Based Ranking
2006With the Internet getting available to more and more people in the last decade and with the rapidly growing number of webpages the internet is a vast resource of information. Millions of people are using the internet to search for information every day. However, the search result is not satisfying in the case of an ambiguous search query. In this paper
Martin Mehlitz, Fang Li
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A Novel Factoid Ranking Model for Information Retrieval
2007How can we distinguish accurate information from inaccurate or untrustworthy information is a big challenge in the field of information retrieval. This paper discusses trust as a factoid learning problem, which extracts factoid from the content and then rank them according to their likehood as trustworthy ones.
Youcong Ni, Wei Wang
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Rank by Readability: Document Weighting for Information Retrieval
2010In this paper, we present a new approach to ranking that considers the reading ability (and motivation) of the user. Web pages can be, increasingly, badly written with unfamiliar words, poor use of syntax, ambiguous phrases and so on. Readability research suggests that experts and motivated readers may overcome confusingly written text, but ...
Neil Newbold +2 more
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A search ranking algorithm for web information retrieval
International Journal of Communication Networks and Distributed Systems, 2023Shanshan Zhi, Huanhuan Wang
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Analysis of Ranking Models for Information Retrieval in Hindi
Proceedings of the International Conference on Computer Applications — Computer Applications - I, 2010Vikas Kumar +3 more
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