A Framework for paper submission recommendation system

Nowadays, recommendation systems play an indispensable role in many fields, including e-commerce, finance, economy, and gaming. There is emerging research on publication venue recommendation systems to support researchers when submitting their scientific work. Several publishers such as IEEE, Springer, and Elsevier have implemented their submission recommendation systems only to help researchers choose appropriate conferences or journals for submission. In this work, we present a demo framework to construct an effective recommendation system for paper submission. With the input data (the title, the abstract, and the list of possible keywords) of a given manuscript, the system recommends the list of top relevant journals or conferences to authors. By using state-of-the-art techniques in natural language understanding, we combine the features extracted with other useful handcrafted features. We utilize deep learning models to build an efficient recommendation engine for the proposed system. Finally, we present the User Interface (UI) and the architecture of our paper submission recommendation system for later usage by researchers

Scientific mapping on Autism Spectrum Disorder in education through intellectual, social and conceptual analysis

En las sociedades actuales es cada vez mayor el número de alumnado con Necesidades Específicas de Apoyo Educativo existente en nuestras aulas. En los últimos años se ha detectado una presencia cada vez mayor de alumnado con Trastorno del Espectro Autista. Por ello, se plantea como objetivo analizar la evolución de la producción científica sobre el trastorno del espectro autista utilizando la aproximación bibliométrica del mapeado científico a partir del estudio de la estructura intelectual, social y conceptual durante el período 1969-2021. Se realizó una búsqueda mediante la base de datos Web of Science y se establecieron los términos de búsqueda con ERIC y Thesaurus. De manera que tras aplicar los criterios de inclusión y exclusión se obtuvieron 951 documentos. Los resultados muestran que desde el punto de vista temático tanto la intervención temprana como la intervención con nuevas metodologías como las TIC son los tópicos actuales que se están trabajando en el campo. Asimismo, las revistas se agrupan en función de tres líneas de publicación: psicología, educación especial, Educación y Tecnología. Finalmente, APA (2013) y APA (2000) junto con Horner et al., (2005) son los documentos en torno a los cuales se agrupan las redes de co-citación de documentos. Como futuras líneas de trabajo, se plantean la posibilidad de utilizar otros software de análisis que complemente la información obtenida.In today's societies there is an increasing number of students with Specific Educational Support Needs in our classrooms. In recent years, an increasing presence of students with Autism Spectrum Disorder has been detected. Therefore, the objective is to analyze the evolution of scientific production on autism spectrum disorder using the bibliometric approach of scientific mapping based on the study of the intellectual, social and conceptual structure during the period 1969-2021. A search was carried out using the Web of Science database and the search terms were established using ERIC and Thesaurus. After applying the inclusion and exclusion criteria, 951 documents were obtained. The results show that from a thematic point of view both early intervention and intervention with new methodologies such as ICT are the current topics being worked on in the field. Also, the journals are grouped according to three lines of publication: psychology, special education, Education and Technology. Finally, APA (2013) and APA (2000) together with Horner et al., (2005) are the documents around which the document co-citation networks are grouped. As future lines of work, the possibility of using other analysis software to complement the information obtained is proposed.Este trabajo fue apoyado por el Programa Estatal de I+D+i Orientado a los Retos de la Sociedad del Ministerio de Ciencia e Innovación Español [número de subvención PID2020-112611RB-I00]