Titlebook: E-Commerce and Web Technologies; 16th International C Heiner Stuckenschmidt,Dietmar Jannach Conference proceedings 2015 Springer Internatio

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Personalized and Context-Aware TV Program Recommendations Based on Implicit Feedbackewers. Such a huge amount obliges the users to spend a lot of time in consulting TV guides and reading synopsis, with a heavy risk of even missing what really would have interested them. In this paper we confront this problem by developing a recommender system for TV programs. Recommender systems ha

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An LDA Topic Model Adaptation for Context-Based Image Retrievalechnique outperforms content-based approaches, it may fail when the query keywords does not match the textual content of many documents containing relevant images. In addition, users are usually not experts and provide ambiguous queries that lead to heterogeneous results. To solve these problems, re

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Exploiting Microdata Annotations to Consistently Categorize Product Offers at Web Scale area of e-commerce. Thus, a large amount of structured product descriptions are freely available and can be used for various applications, such as product search or recommendation. However, little efforts have been made to analyze the . of the available product descriptions. Although some products

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The Interactive Effect of Review Rating and Text Sentiment on Review Helpfulnessolarity information complement each other in affecting consumers’ review evaluation. Few extant studies consider the interplay of review rating and text sentiment on perceived review helpfulness. In this study, we attempt to investigate this potential interaction effect and examine whether it is con

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Towards Smart Logistics Process Managementas constraints to be maintained. However, these constraints can be violated at any time due to various unforeseen events that may stem from the process evolving context, leading the process to end up in unfortunate situations. In this paper, we present our framework that correlates critical business

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