https://dialnet.unirioja.es/descarga/articulo/4511388.pdf

Rules of encounter: designing conventions for automated negotiation among computers

Call for papers for Special Issue of ACM Transactions on Multimedia Computing, Communications and Applications on Interactive Digital Television

ACM Transactions on Multimedia Computing, Communications and Applications (ACM TOMCCAP)

The Internet-based recruiting platforms become a primary recruitment channel in most companies. While such platforms decrease the recruitment time and advertisement cost, they suffer from an inappropriateness of traditional information retrieval techniques like the Boolean search methods. Consequently, a vast amount of candidates missed the opportunity of recruiting. The recommender system technology aims to help users in finding items that match their personnel interests; it has a successful usage in e-commerce applications to deal with problems related to information overload efficiently. In order to improve the e-recruiting functionality, many recommender system approaches have been proposed. This article will present a survey of e-recruiting process and existing recommendation approaches for building personalized recommender systems for candidates/job matching.
		
			 
		
			Key words: Recommender systems, collaborative filtering, content-based filtering, hybrid approach, machine learning, e-recruiting, similarity measure.

/pdf/a-survey-of-job-recommender-systems-d3ipmadqa8.pdf

A survey of job recommender systems

Social Internet of Things (SIoT): Foundations, thrust areas, systematic review and future directions

Methods and systems are provided for monitoring use of a vehicle having one or more autonomous (and/or semi-autonomous) operation features to determine and respond to incidents, such as collisions, thefts, or breakdowns. According to certain aspects, operating data from sensors within or near the vehicle may be used to determine when an incident has occurred and determine an appropriate response. The responses may include contacting a third party to provide assistance, such as local emergency services. In some embodiments, occurrence of the incident may be verified by automated communication with the vehicle operator.

Accident response using autonomous vehicle monitoring

In order to make the smart home more autonomous, responsive to needs of inhabitants and allows energy saving; we propose architecture for self-configuring of household appliances. This architecture will be used to develop a home automation system called PBHAS (Policy-Based Home Automation System). In this architecture, we adopt the policy-based management approach for the home automation. Therefore, we propose a PDP-PRF (Policy Decision Point usage for profile) for the management of the home, a LPDP-PRF (Local Policy Decision Point usage for profile) for the management of each room, a PEP-PRF (Policy Enforcement Point usage for profile) for the management of each household appliance, a database called PB-PRF (Policy Database usage for profile) to store needed information to manage the home and, finally, COPS-PRF (Common Open Policy Service usage for profile), to ensure communication between the PDP-PRF and LPDP-PRFs

An Architecture for Policy-Based Home Automation System (PBHAS)

We present in this article a temporal SMIL editor with incremental verification capabilities, based on a formal Petri Net--based model. Our authoring tool, named SMIL Builder, allows the author to “build” his document step by step, while insuring at every stage the validity of the current state of the document. These incremental authoring and consistency checking features are based on the H-SMIL-Net model (Hierarchical SMIL Petri Net), a temporal extension of Petri Nets. Our aim is to propose an easy-to-use temporal environment which can satisfy a wide range of users; so we opted for an interface combining simplicity and ergonomics.

SMIL builder: An incremental authoring tool for SMIL Documents

Graphical abstractDisplay Omitted HighlightsThis work falls within Web service query optimization and make use of explicit/implicit preference.An appropriate inference mechanism, borrowed from the fuzzy/approximate reasoning field, is used.A priority-based method is introduced to aggregate the elementary similarities.The top-k results are provided with user.A set of experiments is done to show the feasibility and the effectiveness of our proposal. With the development of Web technologies and the increasing usage of Internet, more and more Web Services (WS) are deployed over Internet. Therefore, there will be a large number of candidate services for fulfilling a desired task. In the last decade, several WS selection approaches are proposed to cope with this challenge. In sharp contrast to the existing WS selection approaches that focus only on user-specified preferences, in this paper, we propose a flexible and effective WS selection framework, which gives users an adequate way to express their preferences using linguistic terms, and enhance the WS selection by leveraging their contexts and profiles. The satisfaction of the candidate WS is expressed by an objective score that takes into consideration no only the user-specified preferences, but also additional preferences extracted from both his/her context and profile using fuzzy inference rules, so as to improve the effectiveness of the selection. We then introduce an effective strategy that allows for priority between the two kinds of preferences, for ranking candidate services. Experimental evaluation on a real case study demonstrates the effectiveness of our proposed strategy.

A fuzzy framework for efficient user-centric Web service selection

The IoT vision enhances connectivity from "any-time, any-place" for "any-one" into "any-time, any-place" for "any-thing". Once these things are plugged into the network, more and more smart processes and services are possible which can support our economies, environment and health. On the other hand, Air transport has become one of the essential elements of globalization. Its development has been exponential for decades, following the technological advances of aviation on one side, and the propensity of men to move on the other. With rapidly increasing traffic, the current logistics and infrastructure models of airports must inevitably evolve in order to adapt quickly and sustainably. To make the passenger journey more fluid, airports are increasingly using new technologies. In this paper, we propose an airport management system based on the IoT paradigm, where passengers, baggage, plane or the departure lounge are considered as "things". Our smart airport management system aims to automate passengers processing and flight management steps, in order to improve services, facilitate airport agents' tasks and offer passengers a pleasant and safe journey.

Smart airport: an IoT-based Airport Management System

We propose in this paper a hierarchical and temporal extension of Petri Nets for the incremental authoring of SMIL multimedia documents. The complexity of these documents can lead authors, in some cases, to specify synchronization relations which could not be satisfied during the presentation of the document, what characterizes the occurrence of inconsistencies; a consistency checking mechanism is then necessary. This new model, named H-SMIL-Net (Hierarchical SMIL-Petri Net) proposes a technique for the incremental verification of temporal consistency. The originality of the solution resides in the modular aspect of the modelling, and the local approach of verification, what optimizes the verification time after each editing operation. This formal approach has been integrated in an incremental authoring tool for SMIL presentations.

Abdelkader Belkhir

Papers

An Architecture for Policy-Based Home Automation System (PBHAS)

SMIL builder: An incremental authoring tool for SMIL Documents

A fuzzy framework for efficient user-centric Web service selection

Smart airport: an IoT-based Airport Management System

H-SMIL-Net: A Hierarchical Petri Net Model for SMIL Documents