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Improving new user recommendations with rule-based induction on cold user data
TLDR
In this paper, classical new user cold start techniques are improved by exploiting the cold user data, i.e. the user data that is readily available (e.g. age, occupation, location), in order to automatically associate the new user with a better first profile. Expand
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A Comparison of Deep Learning Based Query Expansion with Pseudo-Relevance Feedback and Mutual Information
TLDR
We explore the use of the relationships extracted from deep learning vectors for query expansion using these term vector representations. Expand
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Wikipedia-based semantic query enrichment
TLDR
We deal, in this paper, with the short queries (containing one or two words) problem. Expand
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Evaluating and combining digital video shot boundary detection algorithms
TLDR
The development of standards for video encoding coupled with the increased power of computing mean that content-based manipulation of digital video information is now feasible. Expand
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Implementation and Analysis of Several Keyframe-Based Browsing Interfaces to Digital Video
TLDR
In this paper we present a variety of browsing interfaces for digital video information. Expand
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Indexing medical reports in a multimedia environment: the RIME experimental approach
TLDR
This paper focuses on the RIME system aimed to the indexing of medical reports in a multimedia environment. Expand
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PRIME-GC. A medical information retrieval prototype on the Web
TLDR
This work has been funded by the EEC under Basic Research Action FERMI, n 8134.The authors describe a prototype, PRIME, of a multimedia medical information retrieval system. Expand
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Solving Concept mismatch through Bayesian Framework by Extending UMLS Meta-Thesaurus
TLDR
We propose to exploit the thesaurus relations between concepts but also to enrich them through the analysis of the terms associated to concepts. Expand
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Hybrid query expansion model for text and microblog information retrieval
TLDR
We introduce a hybrid query expansion model (HQE) that investigates how external resources can be combined to association rules mining and used to enhance expansion terms generation and selection. Expand
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Matching Fusion with Conceptual Indexing
TLDR
In this study, we propose to use, simultaneously, multiple types of indexing elements: ngrams, keywords, and concepts, instead of only keywords. Expand
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