" what parts of your apps are loved by users?"(T)
Recently, Begel et al. found that one of the most important questions software developers
ask is" what parts of software are used/loved by users." User reviews provide an effective …
ask is" what parts of software are used/loved by users." User reviews provide an effective …
Quantifying product favorability and extracting notable product features using large scale social media data
Some of the challenges that designers face in getting broad external input from customers
during and after product launch include geographic limitations and the need for physical …
during and after product launch include geographic limitations and the need for physical …
Character-based attribute value extraction system
A system is provided that extracts attribute values. The system receives data including
unstructured text from a data store. The system further tokenizes the unstructured text into …
unstructured text from a data store. The system further tokenizes the unstructured text into …
Automated discovery of lead users and latent product features by mining large scale social media networks
Lead users play a vital role in next generation product development, as they help designers
discover relevant product feature preferences months or even years before they are desired …
discover relevant product feature preferences months or even years before they are desired …
Why are they collecting my data? inferring the purposes of network traffic in mobile apps
Many smartphone apps collect potentially sensitive personal data and send it to cloud
servers. However, most mobile users have a poor understanding of why their data is being …
servers. However, most mobile users have a poor understanding of why their data is being …
Combining similarity and sentiment in opinion mining for product recommendation
R Dong, MP O'Mahony, M Schaal, K McCarthy… - Journal of Intelligent …, 2016 - Springer
In the world of recommender systems, so-called content-based methods are an important
approach that rely on the availability of detailed product or item descriptions to drive the …
approach that rely on the availability of detailed product or item descriptions to drive the …
Visualizing social media content with sententree
M Hu, K Wongsuphasawat… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
We introduce SentenTree, a novel technique for visualizing the content of unstructured
social media text. SentenTree displays frequent sentence patterns abstracted from a corpus …
social media text. SentenTree displays frequent sentence patterns abstracted from a corpus …
Decipher: an interactive visualization tool for interpreting unstructured design feedback from multiple providers
Feedback from diverse audiences can vary in focus, differ in structure, and contradict each
other, making it hard to interpret and act on. While prior work has explored generating …
other, making it hard to interpret and act on. While prior work has explored generating …
A live-user study of opinionated explanations for recommender systems
This paper describes an approach for generating rich and compelling explanations in
recommender systems, based on opinions mined from user-generated reviews. The …
recommender systems, based on opinions mined from user-generated reviews. The …
Do opt-outs really opt me out?
Online trackers, such as advertising and analytics services, have provided users with
choices to opt out of their tracking and data collection to mitigate the users' concerns about …
choices to opt out of their tracking and data collection to mitigate the users' concerns about …