1,721,077 research outputs found
Using visual features and latent factors for movie recommendation
No full textItem features play an important role in movie recommender systems, where recommendations can be generated by using explicit or implicit preferences of users on attributes such as genres. Traditionally, movie features are human-generated, either editorially or by leveraging the wisdom of the crowd. In this short paper, we present a recommender system for movies based of Factorization Machines that makes use of the low-level visual features extracted automatically from movies as side information. Low-level visual features - such as lighting, colors and motion - represent the design aspects of a movie and characterize its aesthetic and style. Our experiments on a dataset of more than 13K movies show that recommendations based on low-level visual features provides almost 10 times better accuracy in comparison to genre based recommendations, in terms of various evaluation metrics
XAI.it 2024: An Overview on the Future of AI in the era of Large Language Models
No full textThe rapid development and deployment of Large Language Models (LLMs) has the potential to transform numerous industries and aspects of our lives, from natural language processing and text generation to customer service and decision-making. However, as these models become increasingly sophisticated and pervasive, the need for AI (XAI) to ensure the transparency, interpretability, and trustworthiness of their outputs has grown more pressing. This work discusses the current state and future directions of XAI in LLMs, highlighting the challenges and opportunities in developing techniques that can handle the massive scale and complexity of modern LLMs and exploring the potential for XAI to revolutionize the way we interact with and rely on LLMs in the future. As LLMs are increasingly used to make decisions, generate content, and provide information, the lack of transparency and interpretability in their decision-making processes can have far-reaching consequences, including the potential for bias, misinformation, and harm. XAI in LLMs is essential to address these concerns, providing a means to understand the reasoning and decision-making processes behind the outputs of these models. XAI.it 2024 focused on these issues and provided a space to discuss them with the international scientific community during the annual AixiA conference focusing on new challenges and research perspectives in Artificial Intelligence
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
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
SASWeb 2012: Semantic and Adaptive Social Web
No full textSASWeb 2012: Semantic and Adaptive Social Web
organized by Lora Aroyo, Federica Cena, Antonina Dattolo, Pasquale Lops, Julita Vassileva
(1) Building multi-layer social knowledge maps with Google Maps API
MinEr Liang, Julio Guerra, Peter Brusilovsky
(2) Learning from a network of peers via peer-driven adjustment of a corpus
John Champaign, Robin Cohen
****Invited Talks
(4) Culture in User Modeling 3.0
Jacqueline Bourdeau
(5) Leveraging social and semantic components in adaptive environments
Cristina Gena
(6) Meaning is its use: towards the use of distributional semantics for content-based recommender systems
Cataldo Musto
(7) Exploring folksonomies for adaptive query expansion
Fabio Gasparett
- …
