Daniel Kluver

19 papers A* 2A 7B 1Journal 8
YearRankTypeTitle / Venue / Authors
2025 B conf
Why They Come And Go: A Case Study of Productive Flyby Users and Their Rating Integrity Challenge in Movie Recommenders.
CHIIR
Ruixuan Sun, Ruoyan Kong, Ashlee Milton, Daniel Kluver, Ian Paterson, Joseph A. Konstan
2024 A conf
The MovieLens Beliefs Dataset: Collecting Pre-Choice Data for Online Recommender Systems.
RecSys
Guy Aridor, Duarte Gonçalves, Ruoyan Kong, Daniel Kluver, Joseph A. Konstan
2024 J jnl
The MovieLens Beliefs Dataset: Collecting Pre-Choice Data for Online Recommender Systems.
CoRR
Guy Aridor, Duarte Gonçalves, Ruoyan Kong, Daniel Kluver, Joseph A. Konstan
2023 A* conf
The Economics of Recommender Systems: Evidence from a Field Experiment on MovieLens.
EC
Guy Aridor, Duarte Gonçalves, Daniel Kluver, Ruoyan Kong, Joseph A. Konstan
2022 J jnl
The Economics of Recommender Systems: Evidence from a Field Experiment on MovieLens.
CoRR
Guy Aridor, Duarte Gonçalves, Daniel Kluver, Ruoyan Kong, Joseph A. Konstan
2021 J jnl
Effective Strategies for Crowd-Powered Cognitive Reappraisal Systems: A Field Deployment of the Flip*Doubt Web Application for Mental Health.
Proc. ACM Hum. Comput. Interact.
C. Estelle Smith, William Lane, Hannah Miller Hillberg, Daniel Kluver, Loren Terveen, Svetlana Yarosh
2021 J jnl
Exploring author gender in book rating and recommendation.
User Model. User Adapt. Interact.
Michael D. Ekstrand, Daniel Kluver
2018 J jnl
Exploring Author Gender in Book Rating and Recommendation.
CoRR
Michael D. Ekstrand, Mucun Tian, Mohammed R. Imran Kazi, Hoda Mehrpouyan, Daniel Kluver
2018 A conf
Exploring author gender in book rating and recommendation.
RecSys
Michael D. Ekstrand, Mucun Tian, Mohammed R. Imran Kazi, Hoda Mehrpouyan, Daniel Kluver
2018 — ch.
Rating-Based Collaborative Filtering: Algorithms and Evaluation.
Social Information Access
Daniel Kluver, Michael D. Ekstrand, Joseph A. Konstan
2018 J jnl
What I See is What You Don't Get: The Effects of (Not) Seeing Emoji Rendering Differences across Platforms.
Proc. ACM Hum. Comput. Interact.
Hannah Miller Hillberg, Zachary Levonian, Daniel Kluver, Loren Terveen, Brent J. Hecht
2017 J jnl
Simulation Experiments on (the Absence of) Ratings Bias in Reputation Systems.
Proc. ACM Hum. Comput. Interact.
Jacob Thebault-Spieker, Daniel Kluver, Maximilian A. Klein, Aaron Halfaker, Brent J. Hecht, Loren G. Terveen, Joseph A. Konstan
2017 A conf
Understanding Emoji Ambiguity in Context: The Role of Text in Emoji-Related Miscommunication.
ICWSM
Hannah Jean Miller, Daniel Kluver, Jacob Thebault-Spieker, Loren G. Terveen, Brent J. Hecht
2015 A conf
Letting Users Choose Recommender Algorithms: An Experimental Study.
RecSys
Michael D. Ekstrand, Daniel Kluver, F. Maxwell Harper, Joseph A. Konstan
2015 A* conf
User Session Identification Based on Strong Regularities in Inter-activity Time.
WWW
Aaron Halfaker, Oliver Keyes, Daniel Kluver, Jacob Thebault-Spieker, Tien T. Nguyen, Kenneth Shores, Anuradha Uduwage, Morten Warncke-Wang
2014 A conf
Evaluating recommender behavior for new users.
RecSys
Daniel Kluver, Joseph A. Konstan
2014 J jnl
User Session Identification Based on Strong Regularities in Inter-activity Time.
CoRR
Aaron Halfaker, Oliver Keyes, Daniel Kluver, Jacob Thebault-Spieker, Tien T. Nguyen, Kenneth Shores, Anuradha Uduwage, Morten Warncke-Wang
2013 A conf
Rating support interfaces to improve user experience and recommender accuracy.
RecSys
Tien T. Nguyen, Daniel Kluver, Ting-Yu Wang, Pik-Mai Hui, Michael D. Ekstrand, Martijn C. Willemsen, John Riedl
2012 A conf
How many bits per rating?
RecSys
Daniel Kluver, Tien T. Nguyen, Michael D. Ekstrand, Shilad Sen, John Riedl

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.