Social media platforms have become powerful tools to collect the preferences of the users and get to know them more.

Social media platforms routinely apply personalization algorithms to ensure the content presented to the user is relevant and engaging. These algorithms are ...

Eberhard, L., Trattner, C., & Atzmueller, M. (2018). Predicting trading interactions in an online marketplace through location-based and online social networks.

Guest editorial: social media for personalization and search · 2019 Volume 22 Issue 1-2 · ir_journal · https://doi.org/10.1007/s10791-019-09352-1 · 10.1007/s10791- ...

Sign up for an account to create a profile with publication list, tag and review your related work, and share bibliographies with your co-authors. Guest ...

Title: Guest editorial: social media for personalization and search ; Authors: Boratto L, Kaltenbrunner A, Stilo G ; Researchers (PRC):, Kaltenbrunner, Andreas.

Social networks provide rich information about user interests and activities representing a valuable source for search personalization.

This study investigates binomial consumer brand engagement (vs. advertising avoidance) in the social media context.

Títol: Guest editorial: social media for personalization and search ; Autors: Boratto L, Kaltenbrunner A, Stilo G ; Investigadors/es (PRC):, Kaltenbrunner, ...

Jun 9, 2020 · Techniques in the fields of data and text mining, pattern recognition, behavior and sentiment analysis as well as opinion mining, for example, ...