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|Title:||Study for fusion of different sources to determine relevance||Authors:||Chi, C.-H.
|Issue Date:||2002||Citation:||Chi, C.-H.,Ding, C.,Lam, K.-Y. (2002). Study for fusion of different sources to determine relevance. Proceedings of the International Conference on Tools with Artificial Intelligence : 515-520. ScholarBank@NUS Repository.||Abstract:||The relevance of a web document could be measured not only by its text content, but also by some other factors such as the link connectivity, the usage pattern. In previous data fusion researches, the text is the only source to determine the relevance, and just the different runs (e.g. by different retrieval models, different query or document representations) on this same source are combined. It is the purpose of this paper to investigate whether the different sources could be combined to determine the relevance with a better accuracy than any single source. We conducted a preliminary experiment to test its feasibility and effectiveness and obtained a positive result.||Source Title:||Proceedings of the International Conference on Tools with Artificial Intelligence||URI:||http://scholarbank.nus.edu.sg/handle/10635/39973||ISSN:||10636730|
|Appears in Collections:||Staff Publications|
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