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Introduction Challenges Personalization of Keyword-based Search on Structured Data Sources c 1 Georgia M. Kapitsaki 2 Dragan Ivanovi 1 University of Novi Sad, Serbia 2 University of Cyprus, Cyprus 1st International KEYSTONE Conference, 2015

Introduction Challenges Personalization of Keyword-based Search on Structured Data Sources c 1 Georgia M. Kapitsaki 2 Dragan Ivanovi´ 1 University of Novi Sad, Serbia 2 University of Cyprus, Cyprus 1st International KEYSTONE Conference, 2015 dragan.ivanovic@uns.ac.rs, gkapi@cs.ucy.ac.cy Personalization of KEYSTONE, IKC 2015, Coimbra, Portugal
Introduction Challenges Outline Introduction 1 Challenges 2 dragan.ivanovic@uns.ac.rs, gkapi@cs.ucy.ac.cy Personalization of KEYSTONE, IKC 2015, Coimbra, Portugal
Introduction Challenges Context information Users’needs Systems should use as much as possible available information query keywords geographic location of users’ devices used for making queries history of users’ search personal information about users the use of context information in the query dragan.ivanovic@uns.ac.rs, gkapi@cs.ucy.ac.cy Personalization of KEYSTONE, IKC 2015, Coimbra, Portugal
Introduction Challenges Context information Users’needs Systems should use as much as possible available information query keywords geographic location of users’ devices used for making queries history of users’ search personal information about users the use of context information in the query dragan.ivanovic@uns.ac.rs, gkapi@cs.ucy.ac.cy Personalization of KEYSTONE, IKC 2015, Coimbra, Portugal
Introduction Challenges Context information Users’needs Systems should use as much as possible available information query keywords geographic location of users’ devices used for making queries history of users’ search personal information about users the use of context information in the query dragan.ivanovic@uns.ac.rs, gkapi@cs.ucy.ac.cy Personalization of KEYSTONE, IKC 2015, Coimbra, Portugal
Introduction Challenges Context information Users’needs Systems should use as much as possible available information query keywords geographic location of users’ devices used for making queries history of users’ search personal information about users the use of context information in the query dragan.ivanovic@uns.ac.rs, gkapi@cs.ucy.ac.cy Personalization of KEYSTONE, IKC 2015, Coimbra, Portugal
Introduction Challenges Context information Users’needs Systems should use as much as possible available information query keywords geographic location of users’ devices used for making queries history of users’ search personal information about users the use of context information in the query dragan.ivanovic@uns.ac.rs, gkapi@cs.ucy.ac.cy Personalization of KEYSTONE, IKC 2015, Coimbra, Portugal
Introduction Challenges Context information Users’needs Systems should use as much as possible available information query keywords geographic location of users’ devices used for making queries history of users’ search personal information about users the use of context information in the query dragan.ivanovic@uns.ac.rs, gkapi@cs.ucy.ac.cy Personalization of KEYSTONE, IKC 2015, Coimbra, Portugal
Introduction Challenges Context information Users’needs Systems should use as much as possible available information query keywords geographic location of users’ devices used for making queries history of users’ search personal information about users the use of context information in the query dragan.ivanovic@uns.ac.rs, gkapi@cs.ucy.ac.cy Personalization of KEYSTONE, IKC 2015, Coimbra, Portugal
Introduction Challenges Users profiles IR systems can create users profiles Users profiles should be adaptive Personalized search results, resolving ambiguity of queries, etc. dragan.ivanovic@uns.ac.rs, gkapi@cs.ucy.ac.cy Personalization of KEYSTONE, IKC 2015, Coimbra, Portugal
Introduction Challenges Users profiles IR systems can create users profiles Users profiles should be adaptive Personalized search results, resolving ambiguity of queries, etc. dragan.ivanovic@uns.ac.rs, gkapi@cs.ucy.ac.cy Personalization of KEYSTONE, IKC 2015, Coimbra, Portugal
Introduction Challenges Users profiles IR systems can create users profiles Users profiles should be adaptive Personalized search results, resolving ambiguity of queries, etc. dragan.ivanovic@uns.ac.rs, gkapi@cs.ucy.ac.cy Personalization of KEYSTONE, IKC 2015, Coimbra, Portugal
Introduction Challenges Specific challanges Can user profile data be used to help in transformation of keyword based query to a structured query? Can user profile data be used to personalize the list of results in the sense of adapting part of the structured data that will form part of the query result? Can user profiles be used to personalize user interfaces during search in order to produce better interactivity between the user and the system? dragan.ivanovic@uns.ac.rs, gkapi@cs.ucy.ac.cy Personalization of KEYSTONE, IKC 2015, Coimbra, Portugal
Introduction Challenges Specific challanges Can user profile data be used to help in transformation of keyword based query to a structured query? Can user profile data be used to personalize the list of results in the sense of adapting part of the structured data that will form part of the query result? Can user profiles be used to personalize user interfaces during search in order to produce better interactivity between the user and the system? dragan.ivanovic@uns.ac.rs, gkapi@cs.ucy.ac.cy Personalization of KEYSTONE, IKC 2015, Coimbra, Portugal
Introduction Challenges Specific challanges Can user profile data be used to help in transformation of keyword based query to a structured query? Can user profile data be used to personalize the list of results in the sense of adapting part of the structured data that will form part of the query result? Can user profiles be used to personalize user interfaces during search in order to produce better interactivity between the user and the system? dragan.ivanovic@uns.ac.rs, gkapi@cs.ucy.ac.cy Personalization of KEYSTONE, IKC 2015, Coimbra, Portugal
Introduction Challenges Scientific fields Interdisciplinary open issue Personal information management, User profiling, Information retrieval, Human-computer interaction, Knowledge management, Context-aware applications, Log mining, etc. dragan.ivanovic@uns.ac.rs, gkapi@cs.ucy.ac.cy Personalization of KEYSTONE, IKC 2015, Coimbra, Portugal
Introduction Challenges Scientific fields Interdisciplinary open issue Personal information management, User profiling, Information retrieval, Human-computer interaction, Knowledge management, Context-aware applications, Log mining, etc. dragan.ivanovic@uns.ac.rs, gkapi@cs.ucy.ac.cy Personalization of KEYSTONE, IKC 2015, Coimbra, Portugal
Introduction Challenges Case studies CRIS UNS Docear dragan.ivanovic@uns.ac.rs, gkapi@cs.ucy.ac.cy Personalization of KEYSTONE, IKC 2015, Coimbra, Portugal
Introduction Challenges Case studies CRIS UNS Docear dragan.ivanovic@uns.ac.rs, gkapi@cs.ucy.ac.cy Personalization of KEYSTONE, IKC 2015, Coimbra, Portugal
Introduction Challenges Questions / Discussion Thank you for your attention!!! dragan.ivanovic@uns.ac.rs, gkapi@cs.ucy.ac.cy Personalization of KEYSTONE, IKC 2015, Coimbra, Portugal

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