… ) and our focus is on the use of inferences for personalization, we only use Comfort: Personalizing
in … The less accurate the inference relative to the participant’s actual interests, the less …

… by users on Twitter. Finally, we report an evaluation of SocialKB on 20,000 tweets and discuss
our early inference … the original set as we selected three queries of interest for probabilistic …

… and recall require thoughtful inferencing to help generate useful … We extend inferencing
based on best practices in infor… the solution space of possible inferences, and apply ranking …

… The same participant then suggested a very specific car model to find a good deal which
might not align with how we envision on-device inference of general ads interest. In addition, …

… The novel inference procedure proposed … user will introduce manually an interest score
only for a subset of the concepts of the ontology, an algorithm to estimate the interest of the user …

… We show that our scalable inference algorithm outperforms existing benchmarks in four …
Two users are selected: User A (left column) is interested in statistical machine learning and …

… know and use Artifcial Intelligence (AI) algorithms to infer the interests of … users consent to
the use of inferences, we aim to move towards personalization using inferred data with the user…

… to capture the latent user interest behind the user behavior data. … internal cognition, user
interest evolves over time dynamically. … interests to target item and overcomes the inference from …

… user interests profile model which we further use to generate the relevancy rankings of the
recommendations from any service to the user. … be redefined and our inferencing will become …

… gender, income, affordance, categorial preference, etc, all from the user behaviors, trying
to capture both long-term and shortterm user interests. Then it builds different models for each …