1,721,061 research outputs found
Adaptive Management of the Answering Process for a Call Center System
No full textThis paper describes the development of an Adaptive Call Center which personalizes the management of the answering process. The system is composed by an adaptive response system with a speech recognition engine and by an operator support structure, which is dynamically involved in the answer when the sentence is not recognized or the question belongs to those classified as complex. In this case the call is routed to the operator which best fits the caller feature
Evaluation of an expandable breakaway radiocollar for subadult cervids
No full textWe designed and field tested an expandable, easy-to-build radiocollar for subadult male fallow deer (Dama dama). This collar is inexpensive (it only costs few euros), and breaks away due to the natural growth of the neck without causing injury. Elastic rubber bands (expandable section) are covered by a leather layer that protects it from pre-mature breakaway. We evaluated the effectiveness of 37 expandable collars deployed on pricket (1-2 y.o.) fallow deer, by using the Kaplan-Meier survival analysis. Average duration of collars from their deployment to their natural drop off was almost 2 years (mean +/- SE, 91.7 +/- 6.4 weeks). This enabled us to monitor subadult fallow deer during maturation and to collect data on their spatial behaviour for the first time. Very little is known on the behavioural ecology and life history of subadult cervids. Accordingly, breakaway radiocollars are important research tools whose use should increase among field biologists
Increasing performances and personalization in the interaction with a call center system
No full textThis paper describes the innovative combination of speech recognition and personalized response generation with the adaptive routing of calls to the operator which best fits the caller's features. The project aims at supporting the user incrementally, starting from a personalized automatic support and moving to a proficient human one, when it is needed. In particular the paper shows the adaptive workflow of the answering process and focuses on the principles for providing the personalized speech response
Enhancing cultural recommendations through social and linked open data
Full text linkIn this article, we describe a hybrid recommender system (RS) in the artistic and cultural heritage area, which takes into account the activities on social media performed by the target user and her friends, and takes advantage of linked open data (LOD) sources. Concretely, the proposed RS (1) extracts information from Facebook by analyzing content generated by users and their friends; (2) performs disambiguation tasks through LOD tools; (3) profiles the active user as a social graph; (4) provides her with personalized suggestions of artistic and cultural resources in the surroundings of the user’s current location. The last point is performed by integrating collaborative filtering algorithms with semantic technologies in order to leverage LOD sources such as DBpedia and Europeana. Based on the recommended points of cultural interest, the proposed system is also able to suggest to the active user itineraries among them, which meet her preferences and needs and are sensitive to her physical and social contexts as well. Experimental results on real users showed the effectiveness of the different modules of the proposed recommender
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
Towards a tag-based user model: how can user model benefit from tags?
No full textSocial tagging is a kind of social annotation by which users label resources, typically web objects, by means of keywords with the goal of sharing, discovering and recovering them. In this paper we investigate the possibility of exploiting the user tagging activity in order to infer knowledge about the user. Up to now the relation between tagging and user modeling seems not to have been investigated in depth. Given the widespread diffusion of web tools for collaborative tagging, it is interesting to understand how user modeling can benefit from this feedback
A Multidimensional Approach for the Semantic Representation of Taxonomies and Rules in Adaptive Hypermedia Systems
No full textThis paper introduces a semantic framework for adaptive systems. The core is a multidimensional matrix whose different planes contain the ontological representation of different types of knowledge. On these planes we represent user features, her actions, context, device, domain, adaptation goals and methods. The intersection between planes allows us to represent and managing semantic rules for inferring new user features or defining adaptation strategies. We exploit OWL to represent taxonomic knowledge and SWRL for rules
Web Services and Semantic Web for Adaptive Systems
No full textIn this paper we describe the modalities through which an Adaptive System can provide adaptive services using the support of Semantic Web Service technologies. This is the first stage of a project for creating a Semantic Adaptive Web Service that automatically provides both user-adapted services and user models knowledge. In this paper we focus on the enrichment of the service discovery phase through the addition of semantic information
MUSE: A Multidimensional Semantic Environment for Adaptive Hypermedia Systems
No full textThis paper proposes a model for the design of adaptive systems. The core of the model is based on three matrices whose different planes contain the ontological represen-tation of different types of knowledge. On these planes we represent user features, her actions, context, device, content domain, adaptation goals and methods. The join between planes allows us to represent semantic rules for inferring new user features and to define adaptation strategies. We exploit OWL (Ontology Web Language) to represent taxonomic knowledge and SWRL (Semantic Web Rule Language) for rules. The framework presents a new approach to build adaptive hypermedia systems that support interoperability
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