A Preferences Based Approach for Better Comprehension of User Information Needs

Abstract

It is my pleasure to present the XVIII volume of LNCS Transactions on Computational Collective Intelligence. This volume includes nine interesting and original papers that have been selected via the peer-review process. The first paper, "Using Semantic Web for Generating Questions: Do Different Populations Perceive Questions Differently?" by Thinh Le Nguyen, is devoted to the problem of organizing effective learning processes in intelligent e-learning systems. The author proposes an approach to using Semantic Web data for generating questions that are intended to help people develop arguments in a discussion session. The second paper entitled "Reflection of Intelligent e-Learning/Tutoring-The Flexible Learning Model in LMS Blackboard" by Ivana Simonova, Petra Poulova, and Pavel Kriz describes the theoretical background and practical concept of teaching/ learning through online courses as an example of a smart solution of e-learning system. The authors consider personalization based on individual learning preferences, including students' reflection on the individualized online instruction. In the third paper, "GLIO: A New Method for Grouping Like-Minded Users," Soufiene Jaffali et al. present a novel unsupervised method for grouping like-minded users within social networks. The idea of their method is based on detecting groups of users sharing the same interest centers and having similar opinions. Owing to this it can extract the interest centers and retrieve the polarities from the user's textual posts. The fourth paper, "A Preferences-Based Approach for Better Comprehension of User Information Needs," by Sondess Missaoui and Rim Faiz desribes a model that can identify which contextual dimensions have a strong influence on the outcome of the retrieval process and should therefore be in the user's focus. In order to achieve these objectives, the authors create a new query language model based on the user's preferences. Next they extend this model in order to define a relevance measure for each contextual dimension for automatically classifying each dimension. The fifth paper entitled "Performance Evaluation of the Customer Relationship Management Agent's in a Cognitive Integrated Management Support System" by Marcin Hernes concerns essential issues related to the sentiment analysis of customers' opinions performed by customer relationship management agents running in a multiagent cognitive integrated management information system. This system uses computational collective intelligence methods and allows for supporting the management processes related with all the domains of the enterprise's functioning. In the sixth paper, "Agreements Technologies-Towards Sophisticated Software Agents in Multi-Agent Environments," Mirjana Ivanović and Zoran Budimac present an approach for using agreement technologies in implementation of sophisticated autonomous software agents that mutually negotiate in order to achieve win-win situations. The authors describe the key concepts in this area and highlight the influence of agreement...

Definición de contexto por medio de ontologías como mejora de servicios y aplicaciones en dispositivos móviles

“…Igualmente Bouidghaghen y colegas (Bouidghaghen, Tamine, & Boughanem, 2011) demostraron que los intereses del usuario pueden ser utilizados como herramienta en la personalización de la búsqueda en dispositivos móviles, tal como igualmente fue demostrado por Missaoiu y colegas (Missaoiu & Faiz, 2015) y en la propuesta de Bouneffouf (Bouneffouf, Bouzeghoub, & Gancarski, 2012) que utiliza los intereses del usuario como parte del contexto móvil que sirve de soporte en un sistema de recomendaciones. Inclusive se ha utilizado el contexto en la propia funcionalidad de los dispositivos móviles, tanto en un sistema que sugiere al usuario del dispositivo móvil que aplicación utilizar de acuerdo al contexto, como fuera propuesto por Shin y colegas (Shin, Hong, & Dey, 2012) o en las búsquedas de información contenida dentro del propio dispositivo propuesto por Shin y colegas (Shin, Ko, Shin, Jung, & Lee, 2013).…”