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Modeling and Predicting the Helpfulness of Online Reviews
TLDR
This paper shows that the helpfulness of a review depends on three important factors: the reviewerpsilas expertise, the writing style of the review, and the timeliness of thereview, and presents a nonlinear regression model for helpfulness prediction.
View on IEEE
Effectiveness of isolation, testing, contact tracing, and physical distancing on reducing transmission of SARS-CoV-2 in different settings: a mathematical modelling study
View on Elsevier
ARSA: a sentiment-aware model for predicting sales performance using blogs
TLDR
ARSA is presented, an autoregressive sentiment-aware model, to utilize the sentiment information captured by S-PLSA for predicting product sales performance and is compared with alternative models that do not take into account the sentiment Information.
View on ACM
Mining Online Reviews for Predicting Sales Performance: A Case Study in the Movie Domain
TLDR
A case study in the movie domain is conducted, and it is shown that both the sentiments expressed in the reviews and the quality of the reviews have a significant impact on the future sales performance of products in question.
View on IEEE
Generating Adversarial Examples for Holding Robustness of Source Code Processing Models
TLDR
A Metropolis-Hastings sampling-based identifier renaming technique, named \fullmethod (\method), is proposed, which generates adversarial examples for DL models specialized for source code processing, and confirms the usefulness of DL models-based method for future fully automated source codeprocessing.
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Combining integrated sampling with SVM ensembles for learning from imbalanced datasets
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Collaborative Filtering with Aspect-Based Opinion Mining: A Tensor Factorization Approach
TLDR
A framework that is able to capture users' opinions on different aspects from the textual reviews, and use that information to improve the effectiveness of CF is proposed, operating on the tensor composed of the overall and aspect ratings.
View on IEEE
The impact of COVID-19 control measures on social contacts and transmission in Kenyan informal settlements
TLDR
COVID-19 control measures have had a large impact on direct contacts and therefore transmission, but have also caused considerable economic and food insecurity, which may mean control measures are not sustainable in the longer term.
View on Springer
Using a real-world network to model localized COVID-19 control strategies
TLDR
Simulated control strategies for SARS-CoV-2 transmission in a real-world social network generated from high-resolution GPS data found that tracing the contacts of contacts reduced the size of simulated outbreaks more than tracing of only contacts, but this strategy also resulted in almost half of the local population being quarantined at a single point in time.
View on Springer
Scalable Distributed Processing of K Nearest Neighbor Queries over Moving Objects
TLDR
This work presents a new index structure called Dynamic Strip Index (DSI), which can better adapt to different data distributions than exiting grid indexes, and proposes a distributed k-NN search algorithm based on DSI, which is more efficient and more predictable than existing approaches.
View on IEEE
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