Mobile recommender service based on PMJ model

SOM Clustering Method Using User’s Features to Classify Profitable Customer for Recommender Service in u-Commerce

Lecture Notes in Electrical Engineering - Future Information Technology - II ◽

10.1007/978-94-017-9558-6_32 ◽

2015 ◽

pp. 273-281

Author(s):

Young Sung Cho ◽

Song Chul Moon ◽

Keun Ho Ryu

Keyword(s):

Clustering Method ◽

Som Clustering ◽

Recommender Service

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E-SoRS: A personalized and social recommender service for E-learning environments

The 8th National and the 5th International Conference on e-Learning and e-Teaching (ICeLeT 2014) ◽

10.1109/icelet.2014.7040615 ◽

2014 ◽

Cited By ~ 5

Author(s):

Fateme Akbari ◽

Fattaneh Taghiyareh

Keyword(s):

Learning Environments ◽

E Learning ◽

Recommender Service

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SOM Clustering Method Using User’s Features to Classify Profitable Customer for Recommender Service in u-Commerce

Ubiquitous Computing Application and Wireless Sensor - Lecture Notes in Electrical Engineering ◽

10.1007/978-94-017-9618-7_21 ◽

2015 ◽

pp. 219-227

Author(s):

Young Sung Cho ◽

Song Chul Moon ◽

Keun Ho Ryu

Keyword(s):

Clustering Method ◽

Som Clustering ◽

Recommender Service

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Meaning of Rating Beyond Recommendation : Explorative Study on the Meaning and Usage of Content Evaluation Based on the User Experience Stages of Personalized Recommender Service

Information Systems Review ◽

10.14329/isr.2016.18.3.155 ◽

2016 ◽

Vol 18 (3) ◽

pp. 155-183

Author(s):

Hyundong Kim ◽

◽

Hae-jeong Hwang ◽

Kieun Park ◽

Mingu Kang ◽

...

Keyword(s):

User Experience ◽

Explorative Study ◽

Content Evaluation ◽

Recommender Service

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Exploiting Recommender Service to Enhance Efficiency of Replication

2019 IEEE 12th Conference on Service-Oriented Computing and Applications (SOCA) ◽

10.1109/soca.2019.00017 ◽

2019 ◽

Author(s):

Anna Kobusinska ◽

Michal Boron ◽

Aleksandra Kerebinska ◽

Dionisis Margaris

Keyword(s):

Enhance Efficiency ◽

Recommender Service

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Personalized Popular Blog Recommender Service for Mobile Applications

E-Commerce and Web Technologies - Lecture Notes in Computer Science ◽

10.1007/978-3-642-03964-5_2 ◽

2009 ◽

pp. 2-13 ◽

Cited By ~ 1

Author(s):

Pei-Yun Tsai ◽

Duen-Ren Liu

Keyword(s):

Mobile Applications ◽

Recommender Service

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Similarity Function Recommender Service Using Incremental User Knowledge Acquisition

Service-Oriented Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-642-25535-9_15 ◽

2011 ◽

pp. 219-234 ◽

Cited By ~ 1

Author(s):

Seung Hwan Ryu ◽

Boualem Benatallah ◽

Hye-Young Paik ◽

Yang Sok Kim ◽

Paul Compton

Keyword(s):

Knowledge Acquisition ◽

Similarity Function ◽

Recommender Service ◽

User Knowledge

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Recommender Service for Social Network based Applications

Proceedings of the 11th International Conference on Electronic Commerce - ICEC '09 ◽

10.1145/1593254.1594683 ◽

2009 ◽

Cited By ~ 1

Author(s):

Yung-Ming Li ◽

Han-Wen Hsiao

Keyword(s):

Social Network ◽

Recommender Service

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Building a Classification Model for Physician Recommender Service Based on Needs for Physician Information

HCI in Business, Government, and Organizations: Information Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-319-39399-5_3 ◽

2016 ◽

pp. 28-38

Author(s):

Ming-Hsin Chiu ◽

Wei-Chung Cheng

Keyword(s):

Classification Model ◽

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User XQuery Pattern Method based Personalization Recommender Service

10.1109/skg.2005.137 ◽

2005 ◽

Cited By ~ 1

Author(s):

JinHong Kim ◽

EunSeok Lee

Keyword(s):

Recommender Service

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