Highly Contextualized, Customized, and Personalized Mobile Service Recommendations in Big Data Era
New ideas are presented for highly contextualized, customized, and personalized recommending of mobile services to users (consumers) by taking into account the current network- and service context, and the users’ preferences, and by utilizing distributed big-data management techniques for efficient real-time computing and high-throughput data processing in the cloud. A smart cloud-based recommendation system, which builds up and dynamically manages personal profiles of users by means of big-data processing techniques, is proposed for facilitating the service discovery, recommendation and association, supporting the user-choice optimization process, and achieving the best quality of experience (QoE) for mobile users when utilizing different services, accessible through any kind of mobile devices (e.g. smartphones, tablets, laptops, etc.) via heterogeneous wireless access networks, anytime-anywhere-anyhow. The system allows mobile users to receive timely recommendations about the ‘best’, for them, instances of mobile services they are interested in, at any location and at any moment, and use them via the ‘best’ available access network, thus realizing a truly consumer-oriented Always Best Connected and best Served (ABC&S) functionality. In fact, the system is able to turn the mobile service activities (behavior) of users into actionable analytic datasets and pro-actively recommend the ‘best’ service instances applicable to (and tailored to the profile’s preferences of) each individual user.
The recommended services range from typical telecommunication services (e.g. telephone calls) to Internet services (e.g. multimedia streaming), and to more sophisticated services, such as finding (with subsequent dynamical changing, if needed) the most ‘healthy’ or ‘secure’ driving/walking route to follow in order to avoid areas posing particular health or safety risk to the user. The system can supply (as a value-added service) each involved user with a personalized and customized list of preferred ‘best’ mobile service instances by considering the current network- and service context, and users’ preferences. Working in cooperation with a client application installed on the user’s mobile device, the system not only can detect/discover other (better) offerings of the same or equivalent service instance(s), if such exist, and recommend options (in real time) to the user, but can also automatically select and switch to a particular (better) service instance, if the user’s profile settings are so set, depending on the current context. On top of this, the user’s mobile device is enabled to select (switch to) the ‘best’ available wireless access network for each service instance requested by the user. Determining the new ‘best’ service instance is based on a set of context parameter values, categorized in three groups, related to the user, the service, and the (access) network, respectively. A possible design solution, realized through a structured composition of domains and tiers, is presented in the talk. Also discussed are possibilities to apply the Internet of Services (IoS) paradigm to enable the integration of different types of basic services (even supplied by different service providers) into one composite service (at the time of initiating the user’s request), while simultaneously customizing and personalizing the service to the particular user, taking also into account all aspects of the current context.
Always Best Connected and best Served (ABC&S), anytime-anywhere-anyhow, service recommendations, cloud-based system, big data, Internet of Services (IoS).
Prof. Ivan Ganchev is a Senior Member of the IEEE 1 ; the IEEE Communications Society; the IEEE Computer Society Technical Committees on: (i) Internet of Everything, (ii) Internet, (iii) Computer Communications, and (iv) Cloud Computing; the IEEE Communities on: (i) Future Networks, (ii) IEEE Internet of Things, and (iii) IEEE Smart Cities; and the IEEE Consultants Network. He received his doctoral and engineering (summa cum laude) degrees from the Saint-Petersburg University of Telecommunications in 1995 and 1989, respectively. He is a Full Professor at the University of Plovdiv “Paisii Hilendarski”, an ITU-T 2 Invited Expert, and an IET 3 Invited Lecturer.
Prof. Ganchev was involved in 40+ international and national research projects. Previously he served as a member of the EU FP5 Academic Network for Wireless Internet Research in Europe (ANWIRE) and 7 European ‘COoperation in Science and Technology’ (COST) Actions: COST 285 “Modelling and Simulation Tools for Research in Emerging Multi-service Telecommunications”, COST 290 “Traffic and QoS Management in Wireless Multimedia Networks”, IC0906 “Wireless Networking for Moving Objects (WiNeMO)”, IC0905 “Techno-Economic Regulatory Framework for Radio Spectrum Access for Cognitive Radio/Software Defined Radio (TERRA)”, IC1304 “Autonomous Control for a Reliable Internet of Services (ACROSS)”, IC1303 “Algorithms, Architectures and Platforms for Enhanced Living Environments (AAPELE)”, CA15127 “Resilient Communication Services Protecting End-User Applications from Disaster-based Failures (RECODIS)”.
Currently he is a Management Committee Member (MCM) of the COST Action CA16226 “Indoor Living Space Improvement: Smart Habitat for the Elderly (SHELD-ON)”. Prof. Ganchev’s research interests include: novel telecommunication and information paradigms; modelling, simulation, and emulation of complex telecommunication and information systems, networks, and services; informational modelling; future telecommunication networks and services; smart ubiquitous networking; Internet of Things (IoT); Internet of Services (IoS); Ambient Assisted Living (AAL); Enhanced Living Environments (ELE); Internet tomography; mHealth and mLearning ICT. Prof. Ganchev has served on the Technical Program Committee of 300+ prestigious international conferences, symposia, and workshops.
He has authored/co-authored 1 monographic book, 3 textbooks, 4 edited books, and 260+ research papers in refereed international journals, books chapters, and conference proceedings. Prof. Ganchev is an Area Editor of the Elsevier Computer Networks journal, an Editor of the MDPI Electronics journal, an Associate Editor of the Wiley Internet Technology Letters journal, and a Regional Editor (Europe) of the International Journal on Trust Management in Computing and Communications. He also seats on the Editorial Board of and has served as a Guest Editor for multiple international journals.