Recommender systems

Results: 381



#Item
121Virtual reality / User interface techniques / Digital media / Information science / Software / Humancomputer interaction / New media / Recommender system / Personalization / Virtual world

Prior Ratings: A New Information Source for Recommender Systems in E-Commerce Guibing Guo Jie Zhang

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Source URL: www.luckymoon.me

Language: English - Date: 2014-07-18 09:35:53
122Mathematics / Academia / Statistics / Recommender system / Non-negative matrix factorization / Machine learning / Algorithm / GroupLens Research / Collaborative filtering

LibRec: A Java Library for Recommender Systems Guibing Guo∗ , Jie Zhang† , Zhu Sun† , and Neil Yorke-Smith‡ ∗ School of Information Systems, Singapore Management University, Singapore

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Source URL: ceur-ws.org

Language: English - Date: 2015-05-17 07:28:46
123Recommender systems / Collective intelligence / Collaboration / Information science / Information / Social information processing / Collaborative filtering / Cold start / Rating scale / Star / Similarity / Robust collaborative filtering

Improving the Performance of Recommender Systems by Alleviating the Data Sparsity and Cold Start Problems Guibing Guo Nanyang Technological University, Singapore

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Source URL: www.luckymoon.me

Language: English - Date: 2014-07-18 09:35:50
124Virtual reality / Recommender system / Statistical hypothesis testing / Cold start / Motivation

Prior Ratings: A New Information Source for Recommender Systems in E-Commerce Guibing Guo, Jie Zhang, Daniel Thalmann, Neil Yorke-Smith* Institute for Media Innovation, Nanyang Technological University, Singapore *Americ

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Source URL: www.luckymoon.me

Language: English - Date: 2014-07-18 09:36:02
125Digital media / Education / Technology / New media / Web 2.0 / Media studies / Recommender systems / Social media / Tablet computer / Educational technology / YouTube / Media literacy

ef*F Children and Parents: Media Use and Attitudes Report Research Document

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Source URL: stakeholders.ofcom.org.uk

Language: English - Date: 2015-11-19 19:08:39
126

Temporal Diversity in Recommender Systems Neal Lathia§, Stephen Hailes§, Licia Capra§, Xavier Amatriain† § Dept. of Computer Science, University College London, Gower Street WC1E 6BT, UK †

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Source URL: xavier.amatriain.net

Language: English - Date: 2014-01-06 00:17:57
    127Reputation management / Collective intelligence / Social networking services / Recommender systems / Collaborative filtering / Cold start / Trust / Personalization / Web of trust / Star

    From Ratings to Trust: An Empirical Study of Implicit Trust in Recommender Systems Guibing Guo1 , Jie Zhang1 , Daniel Thalmann1 , Anirban Basu2 , Neil Yorke-Smith3 1 Nanyang Technological University, Singapore

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    Source URL: www.luckymoon.me

    Language: English - Date: 2014-07-18 09:35:56
    128Information science / Recommender systems / Computing / Information retrieval / Collective intelligence / Information systems / User interface techniques / Collaborative filtering / Cold start / MovieLens / Personalization / Information filtering system

    Integrating Trust and Similarity to Ameliorate the Data Sparsity and Cold Start for Recommender Systems Guibing Guo School of Computer Engineering Nanyang Technological University, Singapore

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    Source URL: www.luckymoon.me

    Language: English - Date: 2014-07-18 09:35:52
    129Matrix theory / Recommender systems / Collaboration / Linear algebra / Collaborative filtering / Singular value decomposition / Tensor / Higher-order singular value decomposition / Matrix / Personalization / Machine learning / Non-negative matrix factorization

    Multiverse Recommendation: N-dimensional Tensor Factorization for Context-aware Collaborative Filtering Alexandros Karatzoglou Xavier Amatriain

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    Source URL: www.nuriaoliver.com

    Language: English - Date: 2016-02-16 11:13:00
    130Marketing / Contextual advertising / Recommender systems / Outbrain / Internet marketing / Email / Digital marketing / Click-through rate / Online advertising / Shelter / Engagement marketing

    Shelter finds a home for content discovery | CASE STUDY Outbrain Proves Most Engaging And Cost-Effective Marketing Activity Background Solution

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    Source URL: www.outbrain.com

    Language: English - Date: 2016-01-11 08:55:41
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