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

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Conference proceedings 2015cia, Spain, in September 2015..The 10 full papers included in this volume were carefully reviewed and selected from 28 submissions. The papers are organized in topical sections on recommender systems, multimedia recommendation, social and semantic web; and process management.?.

BOLT

https://doi.org/10.1007/978-94-011-8902-6ve conducted several off-line experiments with real user data from a Czech e-commerce site with keyword based VSM and SimCat recommenders. Experiments confirmed competitiveness of our method, however on-line A/B testing should be conducted in the future work.

使迷惑

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China 40 Years Infrastructure Constructionthe whole document containing the image and local level represented by the paragraph containing an image (considered as a specific textual information for the image). Results show a significant improvement over the standard text retrieval approach by re-ranking with the LDA model applied to the local level.

RALES

Breach

猛烈責(zé)罵

神圣不可

Toward Building a Content-Based Video Recommendation System Based on Low-Level Featureserform the baselines, by producing more relevant recommendations. Hence, a set low-level features extracted automatically can be more descriptive and informative of the video content than a set of high-level expert annotated features.

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An LDA Topic Model Adaptation for Context-Based Image Retrievalthe whole document containing the image and local level represented by the paragraph containing an image (considered as a specific textual information for the image). Results show a significant improvement over the standard text retrieval approach by re-ranking with the LDA model applied to the local level.

窗簾等

Exploiting Microdata Annotations to Consistently Categorize Product Offers at Web Scalepproaches can be used to exploit the heterogeneous category information in order to map the products to set of target categories from an existing product catalogue. Our results show that, even though this task is by far not trivial, we can reach almost . accuracy for classifying products into 37 categories.