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    Word Embedding Techniques for Content-based Recommender Systems: An Empirical Evaluation
    9 years 9 months ago
    Word Embedding Techniques for Content-based Recommender Systems: An Empirical Evaluation
    Download  ceur-ws.org
    This work presents an empirical comparison among three widespread word embedding techniques as Latent Semantic Indexing, Random Indexing and the more recent Word2Vec. Specificall...
    Cataldo Musto, Giovanni Semeraro, Marco de Gemmis,...
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    Inspection Mechanisms for Community-based Content Discovery in Microblogs
    9 years 9 months ago
    Inspection Mechanisms for Community-based Content Discovery in Microblogs
    Download  cs.ucsb.edu
    This paper presents a formative evaluation of an interface for inspecting microblog content. This novel interface introduces filters by communities, and network structure, as wel...
    Nava Tintarev, Byungkyu Kang, Tobias Höllerer...
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    92
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    Risk-Hedged Venture Capital Investment Recommendation
    9 years 9 months ago
    Risk-Hedged Venture Capital Investment Recommendation
    Download  www0.cs.ucl.ac.uk
    With the increasing accessibility of transactional data in venture finance, venture capital firms (VCs) face great challenges in developing quantitative tools to identify new in...
    Xiaoxue Zhao, Weinan Zhang, Jun Wang 0012
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    87
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    News2Images: Automatically Summarizing News Articles into Image-Based Contents via Deep Learning
    9 years 9 months ago
    News2Images: Automatically Summarizing News Articles into Image-Based Contents via Deep Learning
    Download  www.cs.cmu.edu
    Compact representation is a key issue for effective information delivery to users in mobile content-providing services. In particular, it is more severe when providing text docume...
    Jung-Woo Ha, Dongyeop Kang, Hyuna Pyo, Jeonghee Ki...
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    85
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    22views Control Systems» more  RECSYS 2015»
    Interaction Design in a Mobile Food Recommender System
    9 years 9 months ago
    Interaction Design in a Mobile Food Recommender System
    Download  ceur-ws.org
    One of the most important steps in building a recommender system is the interaction design process, which defines how the recommender system interacts with a user. It also shapes...
    Mehdi Elahi, Mouzhi Ge, Francesco Ricci, Ignacio F...
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