Iman Kamehkhosh

According to our database, Iman Kamehkhosh authored at least 13 papers between 2014 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Effects of recommendations on the playlist creation behavior of users.

Iman Kamehkhosh, Geoffray Bonnin, Dietmar Jannach

User Model. User Adapt. Interact., 2020

2018

Effective Nearest-Neighbor Music Recommendations.

Malte Ludewig, Iman Kamehkhosh, Nick Landia, Dietmar Jannach

Proceedings of the ACM Recommender Systems Challenge, 2018

How Automated Recommendations Affect the Playlist Creation Behavior of Users.

Iman Kamehkhosh, Dietmar Jannach, Geoffray Bonnin

Proceedings of the Joint Proceedings of the ACM IUI 2018 Workshops co-located with the 23rd ACM Conference on Intelligent User Interfaces (ACM IUI 2018), 2018

Music Recommendations.

Dietmar Jannach, Iman Kamehkhosh, Geoffray Bonnin

Proceedings of the Collaborative Recommendations, 2018

2017

Advances in next-track music recommendation.

Iman Kamehkhosh

PhD thesis, 2017

User Perception of Next-Track Music Recommendations.

Iman Kamehkhosh, Dietmar Jannach

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

Leveraging multi-dimensional user models for personalized next-track music recommendation.

Dietmar Jannach, Iman Kamehkhosh, Lukas Lerche

Proceedings of the Symposium on Applied Computing, 2017

A Comparison of Frequent Pattern Techniques and a Deep Learning Method for Session-Based Recommendation.

Iman Kamehkhosh, Dietmar Jannach, Malte Ludewig

Proceedings of the 1st Workshop on Temporal Reasoning in Recommender Systems co-located with 11th International Conference on Recommender Systems (RecSys 2017), 2017

2016

Personalized Next-Track Music Recommendation with Multi-dimensional Long-Term Preference Signals.

Iman Kamehkhosh, Dietmar Jannach, Lukas Lerche

Proceedings of the Late-breaking Results, 2016

Biases in Automated Music Playlist Generation: A Comparison of Next-Track Recommending Techniques.

Dietmar Jannach, Iman Kamehkhosh, Geoffray Bonnin

Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

2015

What recommenders recommend: an analysis of recommendation biases and possible countermeasures.

Dietmar Jannach, Lukas Lerche, Iman Kamehkhosh, Michael Jugovac

User Model. User Adapt. Interact., 2015

Beyond "Hitting the Hits": Generating Coherent Music Playlist Continuations with the Right Tracks.

Dietmar Jannach, Lukas Lerche, Iman Kamehkhosh

Proceedings of the 9th ACM Conference on Recommender Systems, 2015

2014

Analyzing the Characteristics of Shared Playlists for Music Recommendation.

Dietmar Jannach, Iman Kamehkhosh, Geoffray Bonnin

Proceedings of the 6th Workshop on Recommender Systems and the Social Web (RSWeb 2014) co-located with the 8th ACM Conference on Recommender Systems (RecSys 2014), 2014