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Titlebook: E-Commerce and Web Technologies; 13th International C Christian Huemer,Pasquale Lops Conference proceedings 2012 Springer-Verlag Berlin Hei

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31#
發(fā)表于 2025-3-26 22:45:29 | 只看該作者
32#
發(fā)表于 2025-3-27 03:10:10 | 只看該作者
any industries have adopted e-commerce technologies to optimize and automate business processes. Despite the co-dependent relation between fundamental e-commerce components—negotiation, contracts, and business workflow—research and development is greatly done in isolation, conveying divergent and di
33#
發(fā)表于 2025-3-27 05:30:03 | 只看該作者
aluation in small groups, only little is known about the real-world usage of these applications. Established tools and methods for analysis are missing. In this paper, we present the usage analysis of a mobile bargain finder application based on server logs of more than 98,000 users over a period of
34#
發(fā)表于 2025-3-27 12:01:29 | 只看該作者
aches considered bargaining and Dung-Style Argumentation as separated components, we show that intertwining these approaches increases the agents scope of action. In our framework the acceptance of an argument or attack uttered by self-interested agents is conditional on the acceptance by the negoti
35#
發(fā)表于 2025-3-27 13:55:14 | 只看該作者
36#
發(fā)表于 2025-3-27 20:57:22 | 只看該作者
37#
發(fā)表于 2025-3-28 01:19:50 | 只看該作者
38#
發(fā)表于 2025-3-28 03:58:26 | 只看該作者
39#
發(fā)表于 2025-3-28 09:49:36 | 只看該作者
e the most widely used techniques in personalized recommender systems. CFuses only the user-rating data to make predictions, while CB filtering relies on semantic information of items for recommendation. In this paper we present a new approach taking into account the semantic information of items in
40#
發(fā)表于 2025-3-28 11:06:45 | 只看該作者
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