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RECSYS
2015
ACM
9 years 8 months ago
Word Embedding Techniques for Content-based Recommender Systems: An Empirical Evaluation
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,...
RECSYS
2015
ACM
9 years 8 months ago
Inspection Mechanisms for Community-based Content Discovery in Microblogs
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...
RECSYS
2015
ACM
9 years 8 months ago
Risk-Hedged Venture Capital Investment Recommendation
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
RECSYS
2015
ACM
9 years 8 months ago
News2Images: Automatically Summarizing News Articles into Image-Based Contents via Deep Learning
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...
RECSYS
2015
ACM
9 years 8 months ago
Interaction Design in a Mobile Food Recommender System
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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