Lecture Notes in Business Information Processing - E-Commerce and Web Technologies
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Published By Springer International Publishing

9783319277288, 9783319277295

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An LDA Topic Model Adaptation for Context-Based Image Retrieval

Lecture Notes in Business Information Processing - E-Commerce and Web Technologies ◽

10.1007/978-3-319-27729-5_6 ◽

2015 ◽

pp. 69-80 ◽

Cited By ~ 1

Author(s):

Hatem Aouadi ◽

Mouna Torjmen Khemakhem ◽

Maher Ben Jemaa

Keyword(s):

Image Retrieval ◽

Topic Model ◽

Model Adaptation

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Personalized and Context-Aware TV Program Recommendations Based on Implicit Feedback

Lecture Notes in Business Information Processing - E-Commerce and Web Technologies ◽

10.1007/978-3-319-27729-5_5 ◽

2015 ◽

pp. 57-68 ◽

Cited By ~ 4

Author(s):

Paolo Cremonesi ◽

Primo Modica ◽

Roberto Pagano ◽

Emanuele Rabosio ◽

Letizia Tanca

Keyword(s):

Implicit Feedback ◽

Context Aware ◽

Tv Program

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Using Graph Metrics for Linked Open Data Enabled Recommender Systems

Lecture Notes in Business Information Processing - E-Commerce and Web Technologies ◽

10.1007/978-3-319-27729-5_3 ◽

2015 ◽

pp. 30-41 ◽

Cited By ~ 2

Author(s):

Petar Ristoski ◽

Michael Schuhmacher ◽

Heiko Paulheim

Keyword(s):

Recommender Systems ◽

Open Data ◽

Linked Open Data ◽

Graph Metrics

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Toward Building a Content-Based Video Recommendation System Based on Low-Level Features

Lecture Notes in Business Information Processing - E-Commerce and Web Technologies ◽

10.1007/978-3-319-27729-5_4 ◽

2015 ◽

pp. 45-56 ◽

Cited By ~ 10

Author(s):

Yashar Deldjoo ◽

Mehdi Elahi ◽

Massimo Quadrana ◽

Paolo Cremonesi

Keyword(s):

Recommendation System ◽

Low Level ◽

Video Recommendation

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The Interactive Effect of Review Rating and Text Sentiment on Review Helpfulness

Lecture Notes in Business Information Processing - E-Commerce and Web Technologies ◽

10.1007/978-3-319-27729-5_8 ◽

2015 ◽

pp. 100-111 ◽

Cited By ~ 3

Author(s):

Shasha Zhou ◽

Bin Guo

Keyword(s):

Interactive Effect ◽

Review Helpfulness

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Using Implicit Preference Relations to Improve Content Based Recommending

Lecture Notes in Business Information Processing - E-Commerce and Web Technologies ◽

10.1007/978-3-319-27729-5_1 ◽

2015 ◽

pp. 3-16 ◽

Cited By ~ 1

Author(s):

Ladislav Peska ◽

Peter Vojtas

Keyword(s):

Preference Relations

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A Twitter View of the Brazilian Stock Exchange Market

Lecture Notes in Business Information Processing - E-Commerce and Web Technologies ◽

10.1007/978-3-319-27729-5_9 ◽

2015 ◽

pp. 112-123 ◽

Cited By ~ 1

Author(s):

Hugo S. Santos ◽

Alberto H. F. Laender ◽

Adriano C. M. Pereira

Keyword(s):

Stock Exchange ◽

Exchange Market

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Exploiting Microdata Annotations to Consistently Categorize Product Offers at Web Scale

Lecture Notes in Business Information Processing - E-Commerce and Web Technologies ◽

10.1007/978-3-319-27729-5_7 ◽

2015 ◽

pp. 83-99 ◽

Cited By ~ 7

Author(s):

Robert Meusel ◽

Anna Primpeli ◽

Christian Meilicke ◽

Heiko Paulheim ◽

Christian Bizer

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Towards Smart Logistics Process Management

Lecture Notes in Business Information Processing - E-Commerce and Web Technologies ◽

10.1007/978-3-319-27729-5_10 ◽

2015 ◽

pp. 127-138

Author(s):

Raef Mousheimish ◽

Yehia Taher ◽

Béatrice Finance

Keyword(s):

Process Management ◽

Smart Logistics ◽

Logistics Process

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Product Recommendation for Small-Scale Retailers

Lecture Notes in Business Information Processing - E-Commerce and Web Technologies ◽

10.1007/978-3-319-27729-5_2 ◽

2015 ◽

pp. 17-29 ◽

Cited By ~ 2

Author(s):

Marius Kaminskas ◽

Derek Bridge ◽

Franclin Foping ◽

Donogh Roche

Keyword(s):

Small Scale ◽

Product Recommendation

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Lecture Notes in Business Information Processing - E-Commerce and Web TechnologiesLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

An LDA Topic Model Adaptation for Context-Based Image Retrieval

Personalized and Context-Aware TV Program Recommendations Based on Implicit Feedback

Using Graph Metrics for Linked Open Data Enabled Recommender Systems

Toward Building a Content-Based Video Recommendation System Based on Low-Level Features

The Interactive Effect of Review Rating and Text Sentiment on Review Helpfulness

Using Implicit Preference Relations to Improve Content Based Recommending

A Twitter View of the Brazilian Stock Exchange Market

Exploiting Microdata Annotations to Consistently Categorize Product Offers at Web Scale

Towards Smart Logistics Process Management

Product Recommendation for Small-Scale Retailers

Lecture Notes in Business Information Processing - E-Commerce and Web Technologies
Latest Publications