Abstract
Personalization recommendation (PR) is an important feature of future search engine. It is a valid method for lightening the user’s burden on information retrieval. This paper presents a new approach for PR based on user-focus. To construct user-focus for a user, a new algorithm WeightedFP for mining weighted frequent item set is given. The transactions for WeightedFP to be dealt with are the entire query requests of a user at a period of time and items in a transaction are non-noise words in the query request corresponding with the transaction. Each word as an item in itemset has a weight expressing the importance description of the word to the user. Experimental result shows that the implementation of PR based on user-focus can lighten the user’s burden caused by the work of filtering valid information from vast information in some extent while time requirement of TR is satisfied well.
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© 2004 Springer-Verlag Berlin Heidelberg
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Zhang, Z., Chen, E., Wang, J., Wang, X. (2004). User-Focus Based Personalization Recommendation for Text Information Retrieval. In: Yu, J.X., Lin, X., Lu, H., Zhang, Y. (eds) Advanced Web Technologies and Applications. APWeb 2004. Lecture Notes in Computer Science, vol 3007. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24655-8_65
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DOI: https://doi.org/10.1007/978-3-540-24655-8_65
Publisher Name: Springer, Berlin, Heidelberg
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