157 citations · 618 across the 30 of their papers we have counts for
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Probabilistic Graphical Models for Credibility Analysis in Evolving Online Communities
Subhabrata Mukherjee
One of the major hurdles preventing the full exploitation of information from online communities is the widespread concern regarding the quality and credibility of user-contributed…
People on Media: Jointly Identifying Credible News and Trustworthy Citizen Journalists in Online Communities
Subhabrata Mukherjee, Gerhard Weikum
Media seems to have become more partisan, often providing a biased coverage of news catering to the interest of specific groups. It is therefore essential to identify credible info…
Credible Review Detection with Limited Information using Consistency Analysis
Subhabrata Mukherjee, Sourav Dutta, Gerhard Weikum
Online reviews provide viewpoints on the strengths and shortcomings of products/services, influencing potential customers' purchasing decisions. However, the proliferation of non-c…
People on Drugs: Credibility of User Statements in Health Communities
Subhabrata Mukherjee, Gerhard Weikum, Cristian Danescu-Niculescu-Mizil
Online health communities are a valuable source of information for patients and physicians. However, such user-generated resources are often plagued by inaccuracies and misinformat…
Item Recommendation with Evolving User Preferences and Experience
Subhabrata Mukherjee, Hemank Lamba, Gerhard Weikum
Current recommender systems exploit user and item similarities by collaborative filtering. Some advanced methods also consider the temporal evolution of item ratings as a global ba…
Exploring Latent Semantic Factors to Find Useful Product Reviews
Subhabrata Mukherjee, Kashyap Popat, Gerhard Weikum
Online reviews provided by consumers are a valuable asset for e-Commerce platforms, influencing potential consumers in making purchasing decisions. However, these reviews are of va…