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- W2495453114 abstract "This work takes place in the context of conversion rate optimization by enhancing the user experience during navigation on e-commerce web sites. The requirement is to be able to segment visitors into meaningful clusters, which can then be targeted with specific call-to-actions, in order to increase the web site turnover. This paper presents an original approach, which equally combines global- and local-alignment techniques (Needleman-Wunsch and Smith-Waterman) in order to automatically segment visitors according to the sequence of visited pages. Experimental results on synthetic datasets show that our approach out-performs other typically used alignment metrics, such as hybrid approaches or Dynamic Time Warping." @default.
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- W2495453114 date "2016-01-01" @default.
- W2495453114 modified "2023-09-27" @default.
- W2495453114 title "Using Glocal Event Alignment for Comparing Sequences of Significantly Different Lengths" @default.
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- W2495453114 doi "https://doi.org/10.1007/978-3-319-41920-6_5" @default.
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