1,720,963 research outputs found
Building Large-Scale English and Korean Datasets for Aspect-Level Sentiment Analysis in Automotive Domain
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Beyond Learning from Next Item: Sequential Recommendation via Personalized Interest Sustainability
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Learning to utilize auxiliary reviews for recommendation
No full textReview-based recommender systems represent users and items with reviews associated with them. As such, the recommender systems are highly dependent on the number of reviews, which is usually few in number. Thus, they produce inaccurate recommendations to users who rarely wrote reviews. An approach to generate better recommendations for the cold-start users is to augment the scarce reviews using other reviews, which are called auxiliary reviews. In this work, we address two research questions when leveraging auxiliary reviews: 1) How to find important auxiliary reviews? 2) How to combine the auxiliary reviews with their original reviews?, and propose a method that learns to utilize auxiliary reviews (LUAR) to tackle these questions. LUAR learns to automatically focus on important auxiliary reviews from data via neural attention mechanism. For the review combination issue, a self-attentive module in LUAR combines auxiliary reviews and original reviews considering their level of contribution. The module dynamically computes the level of contribution of each review based on its relative importance compared to others. Experimental results show that LUAR outperforms the state-of-the-art review-based recommender systems on 7 real-world datasets. Qualitative analyses also show that LUAR can accurately focus on important auxiliary reviews. (C) 2020 Published by Elsevier Inc.11Nsciescopu
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
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