Parisa Lak

According to our database1, Parisa Lak authored at least 12 papers between 2014 and 2022.

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Bibliography

2022
A replication study on implicit feedback recommender systems with application to the data visualization recommendation.
Expert Syst. J. Knowl. Eng., 2022

2017
The Impact of Sentiment Analysis Output on Decision Outcomes: An Empirical Evaluation.
AIS Trans. Hum. Comput. Interact., 2017

A probabilistic approach for modelling user preferences in recommender systems: a case study on IBM watson analytics.
Proceedings of the 27th Annual International Conference on Computer Science and Software Engineering, 2017

2016
A Novel Approach to Define and Model Contextual Features in Recommender Systems.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

News Article Position Recommendation Based on the Analysis of Article's Content - Time Matters.
Proceedings of the 3rd Workshop on New Trends in Content-Based Recommender Systems co-located with ACM Conference on Recommender Systems (RecSys 2016), 2016

A Large-Scale Study of Online Shopping Behavior.
Proceedings of the 20th International Database Engineering & Applications Symposium, 2016

How to Effectively Train IBM Watson: Classroom Experience.
Proceedings of the 49th Hawaii International Conference on System Sciences, 2016

Evidence based analytics - case studies.
Proceedings of the 26th Annual International Conference on Computer Science and Software Engineering, 2016

Preliminary investigation on user interaction with IBM watson analytics.
Proceedings of the 26th Annual International Conference on Computer Science and Software Engineering, 2016

2015
Towards dynamic pricing for digital billboard advertising network in smart cities.
Proceedings of the IEEE First International Smart Cities Conference, 2015

2014
Star Ratings versus Sentiment Analysis - A Comparison of Explicit and Implicit Measures of Opinions.
Proceedings of the 47th Hawaii International Conference on System Sciences, 2014

The Impact of Basic Matrix Factorization Refinements on Recommendation Accuracy.
Proceedings of the 1st IEEE/ACM International Symposium on Big Data Computing, 2014


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