SoMePeAS Social Media for Personalization And Search
Social media platforms have become powerful tools to collect the preferences of the users and get to know them more. Indeed, in order to build profiles about what they like or dislike, a system does not only have to rely on explicitly given preferences (e.g., ratings) or on implicitly collected data (e.g., from the browsing sessions). In the middle, there lie opinions and preferences expressed through likes, textual comments, and posted content. Being able to exploit social media to mine user behavior and extract additional information leads to improvements in the accuracy of personalization and search technologies, and to better targeted services to the users. In this workshop, we aim to collect novel ideas in this field and to provide a common ground for researchers working in this area.
Workshop @ ECIR 2019
41st European Conference on Information Retrieval - ECIR 2018 - 14th April 2019 in Cologne (Germany)
Workshop @ ECIR 2018
European Conference on Information Retrieval - ECIR 2018 - 26th March 2018, Grenoble (France)
Workshop @ ECIR 2017
European Conference on Information Retrieval - ECIR 2017 - 9th April 2017, Aberdeen, Scotland (UK)
Special Issue @ IRJ 2018
Information Retrieval Journal - IRJ 2018
SERecSys Semantics-Enabled Recommender Systems
Recommender systems are widely used in different applications to support users in exploring possibly interesting items. To go beyond the use of preferences expressed in form of ratings, a recent research trend is to analyze the description of items and enrich the recommendation process with semantic knowledge. Different solutions have been proposed so far, however semantic technologies are moving at a very rapid pace, so there are wide margins for semantic recommenders to advance in their tasks and also to lead to a shift into new paradigms, such as cognitive recommender systems. In this workshop, we aim to collect novel ideas in this field and to provide a common ground for researchers working in this area.
Workshop @ ICDM 2017
IEEE International Conference on Data Mining (ICDM) - November 18 2017, New Orleans (U.S.A.)
Workshop @ ICDM 2016
IEEE International Conference on Data Mining (ICDM) - 12 December 2016, Barcelona (Spain)
SIR Social Interaction-based Recommendation
The data collected in social media platforms has become an important source of information, usually exploited by a social recommender system to generate suggestions inside the platform. However, social interactions take many forms that go beyond what happens inside social media platforms, both online (e.g., chats) and offline (group activities performed together), and include “indirect'” forms of interactions, such as editing and reading collaborative resources. The aim of this workshop is to collect ideas on social interaction-based recommender systems, i.e., systems that in their processing consider the social interactions of the users in novel ways. The idea is to extend the classic notion of social recommendation, by using social interaction data to both produce suggestions inside the social media domain (e.g., recommending persons or social media contents, as in social recommenders) and to improve the existing recommendation technologies in other contexts (e.g., online news, online shopping, healthcare, etc.).
Workshop @ CIKM 2018
The 27th International Conference on Information and Knowledge Management (CIKM 2018) - October 22 2018, Turin (Italy)
Contacts:
For enquires, please send an email to all :
ludovico.boratto@acm.org | stilo@di.uniroma1.it