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Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2013 IEEE/WIC/ACM International Joint Conferences on

Date 17-20 Nov. 2013

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  • WI-IAT 2013 Cover Art

    Publication Year: 2013, Page(s): C4
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  • Workshops Page i

    Publication Year: 2013, Page(s): i
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  • Workshops Page iii

    Publication Year: 2013, Page(s): iii
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  • Workshops Copyright Page

    Publication Year: 2013, Page(s): iv
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  • Workshops Table of Contents

    Publication Year: 2013, Page(s):v - xi
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  • WI-IAT 2013 Preface from the Workshop Chairs

    Publication Year: 2013, Page(s):xii - xix
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  • WPRSM 2013 Committees

    Publication Year: 2013, Page(s): xvii
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  • WOSWI 2013 Committees

    Publication Year: 2013, Page(s): xviii
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  • ODMWI 2013 Committees

    Publication Year: 2013, Page(s): xix
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  • AS-BPM 2013 Committees

    Publication Year: 2013, Page(s): xx
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  • SPUnd 2013 Committees

    Publication Year: 2013, Page(s): xxi
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  • DOCMAS 2013 Committees

    Publication Year: 2013, Page(s): xxii
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  • KDO 2013 Committees

    Publication Year: 2013, Page(s): xxiii
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  • HAI 2013 Committees

    Publication Year: 2013, Page(s):xxiv - xxv
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  • NLPOE 2013 Committees

    Publication Year: 2013, Page(s): xxvi
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  • BWMD 2013 Committees

    Publication Year: 2013, Page(s): xxvii
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  • IOT 2013 Committees

    Publication Year: 2013, Page(s): xxviii
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  • WI-IAT 2013 Industry Track Committees

    Publication Year: 2013, Page(s): xxix
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  • WI-IAT 2013 Poster Committees

    Publication Year: 2013, Page(s): xxx
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  • Workshops Sponsors

    Publication Year: 2013, Page(s): xxxi
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  • Integrating Time Forgetting Mechanisms into Topic-Based User Interest Profiling

    Publication Year: 2013, Page(s):1 - 4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (297 KB) | HTML iconHTML

    The rapid development of the World Wide Web has created massive information leading to the information overload problem. Under this circumstance, personalization techniques have been brought out to help users in finding content which meet their personalized interests or needs out of massively increasing information. User profiling techniques have performed the core role in this research. Tradition... View full abstract»

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  • Acquiring User Information Needs for Recommender Systems

    Publication Year: 2013, Page(s):5 - 8
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (165 KB) | HTML iconHTML

    Most recommender systems attempt to use collaborative filtering, content-based filtering or hybrid approach to recommend items to new users. Collaborative filtering recommends items to new users based on their similar neighbours, and content-based filtering approach tries to recommend items that are similar to new users' profiles. The fundamental issues include how to profile new users, and how to... View full abstract»

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  • A Multi-criteria Recommendation Method for Interval Scaled Ratings

    Publication Year: 2013, Page(s):9 - 12
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (256 KB) | HTML iconHTML

    An increasing number of websites, such as Trip Advisor, reflecting the multilateral nature of their products, provide visitors with the possibility to evaluate each item on more than one criterion. The rating scale used usually is represented by a lexical or symbolic scale, such as the five-star rating system. Such scales can be regarded as interval because the symbolic or lexical semantics convey... View full abstract»

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  • A Cooperation Based Metric for Mobile Applications Recommendation

    Publication Year: 2013, Page(s):13 - 16
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (224 KB) | HTML iconHTML

    As the smartphone is popular recently, mobile applications have been more and more attractive to users. With the exponential growth of applications' number, many works have been done to recommender the interesting applications for users. To check the effectiveness of these methods, the researchers are all tend to choose the traditional accuracy metrics to evaluate their system. However, considerin... View full abstract»

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  • An Ontology Based Personalized Garment Recommendation System

    Publication Year: 2013, Page(s):17 - 20
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (393 KB) | HTML iconHTML

    We present a novel method for content-based recommendation of media-rich commodities using probabilistic multimedia ontology. The ontology encodes subjective knowledge of experts that enables interpretation of media based and semantic product features in context of domain concepts. Our recommendation is based on semantic compatibility between the products and user profile in context of use. We use... View full abstract»

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