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Titlebook: E-Commerce, and Web Technologies; 14th International C Christian Huemer,Pasquale Lops Conference proceedings 2013 Springer-Verlag Berlin He

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樓主: Thoracic
31#
發(fā)表于 2025-3-26 21:47:03 | 只看該作者
Robert T. Ammerman,Michel Hersenverload causes difficulty for users attempting to choose useful and relevant information. In this work, we propose a novel recommendation method based on different types of influences: social, interest and popularity, using personal tendencies in regard to these three decision factors to recommend p
32#
發(fā)表于 2025-3-27 05:08:46 | 只看該作者
Edward W. Gondolf,Ellen R. Fisheraborative filtering algorithm is examined. Real data-based experiments are conducted and each attack type’s performance is explicated. Since existing measures, which are used to assess the success of shilling attacks, do not work on binary data, a new evaluation metric is proposed. Empirical outcome
33#
發(fā)表于 2025-3-27 07:25:09 | 只看該作者
34#
發(fā)表于 2025-3-27 12:43:18 | 只看該作者
35#
發(fā)表于 2025-3-27 16:52:37 | 只看該作者
Lecture Notes in Business Information Processinghttp://image.papertrans.cn/e/image/300062.jpg
36#
發(fā)表于 2025-3-27 19:33:22 | 只看該作者
https://doi.org/10.1007/978-3-642-39878-0BPM; Web-based information systems; agent-based e-commerce; business process management; collaborative f
37#
發(fā)表于 2025-3-28 00:54:24 | 只看該作者
978-3-642-39877-3Springer-Verlag Berlin Heidelberg 2013
38#
發(fā)表于 2025-3-28 02:31:59 | 只看該作者
BRF: A Framework of Retrieving Brand Names of Products in Auction Sites bidders in many ways. One of the most popular ways to promote is to add brand names and model names in their product titles. However, the side effect of this promotion way is that the search results are seriously irrelevant to what users expect, especially when brand names are used as query terms.
39#
發(fā)表于 2025-3-28 08:48:35 | 只看該作者
40#
發(fā)表于 2025-3-28 12:23:11 | 只看該作者
A Rule Based Personalized Location Information System for the Semantic Webema.org ontology and combines it with rule-based policies, to deliver fully contextualized information to the user of a location-based system. Owners of points of interest can add their own rule-based policies to SPLIS to expose and deploy their marketing strategy on special offers, discounts, etc.
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