Like like alike: joint friendship and interest propagation in social networks

SH Yang, B Long, A Smola, N Sadagopan… - Proceedings of the 20th …, 2011 - dl.acm.org
Targeting interest to match a user with services (eg news, products, games, advertisements)
and predicting friendship to build connections among users are two fundamental tasks for …

The party is over here: Structure and content in the 2010 election

A Livne, M Simmons, E Adar, L Adamic - Proceedings of the …, 2011 - ojs.aaai.org
In this work, we study the use of Twitter by House, Senate and gubernatorial candidates
during the midterm (2010) elections in the US Our data includes almost 700 candidates and …

Finding the right consumer: optimizing for conversion in display advertising campaigns

Y Liu, S Pandey, D Agarwal, V Josifovski - Proceedings of the fifth ACM …, 2012 - dl.acm.org
The ultimate goal of advertisers are conversions representing desired user actions on the
advertisers' websites in the form of purchases and product information request. In this paper …

An author-reader influence model for detecting topic-based influencers in social media

J Herzig, Y Mass, H Roitman - Proceedings of the 25th ACM conference …, 2014 - dl.acm.org
This work addresses the problem of detecting topic-based influencers in social media. For
that end, we devise a novel behavioral model of authors and readers, where authors try to …

Increasing patient safety using explanation-driven personalized content recommendation

H Roitman, Y Messika, Y Tsimerman… - Proceedings of the 1st …, 2010 - dl.acm.org
In this paper we describe a novel approach of increasing patients' safety using explanation-
driven personalized content recommendation. In this approach, patients are exposed to …

Reliably calibrated isotonic regression

O Nyberg, A Klami - Pacific-Asia Conference on Knowledge Discovery and …, 2021 - Springer
Using classifiers for decision making requires well-calibrated probabilities for estimation of
expected utility. Furthermore, knowledge of the reliability is needed to quantify uncertainty …

Group profiling for understanding social structures

L Tang, X Wang, H Liu - ACM Transactions on Intelligent Systems and …, 2011 - dl.acm.org
The prolific use of participatory Web and social networking sites is reshaping the ways in
which people interact with one another. It has become a vital part of human social life in both …

Parallel user profiling based on folksonomy for large scaled recommender systems: An implimentation of cascading mapreduce

H Liang, J Hogan, Y Xu - 2010 IEEE International Conference …, 2010 - ieeexplore.ieee.org
The Large scaled emerging user created information in web 2.0 such as tags, reviews,
comments and blogs can be used to profile users' interests and preferences to make …

[PDF][PDF] Learning User Latent Attributes on Social Media.

B Huang - 2020 - reports-archive.adm.cs.cmu.edu
In recent years, there is a growing interest in using social media to understand social
phenomena. Researchers have demonstrated many important applications of using online …

MR-VSM: Map Reduce based vector Space Model for user profiling-an empirical study on News data

A Gautam, P Bedi - 2015 International Conference on Advances …, 2015 - ieeexplore.ieee.org
Velocity of data generation has increased over a period of decade which is expected to
further increase exponentially with the passage of time. To mine the useful nuggets of …