Martin Pichl

19 papers A 1B 1C 4Journal 4Unranked 9
YearRankTypeTitle / Venue / Authors
2022 J jnl
Height Optimized Tries.
ACM Trans. Database Syst.
Robert Binna, Eva Zangerle, Martin Pichl, Günther Specht, Viktor Leis
2021 J jnl
User models for multi-context-aware music recommendation.
Multim. Tools Appl.
Martin Pichl, Eva Zangerle
2020 J jnl
User Models for Culture-Aware Music Recommendation: Fusing Acoustic and Cultural Cues.
Trans. Int. Soc. Music. Inf. Retr.
Eva Zangerle, Martin Pichl, Markus Schedl
2018 — conf
Carl: Sports Award Recommender.
eCOM@SIGIR
Martin Pichl, Bernward Pichl, Eva Zangerle
2018 A conf
Culture-Aware Music Recommendation.
UMAP
Eva Zangerle, Martin Pichl, Markus Schedl
2018 — conf
HOT: A Height Optimized Trie Index for Main-Memory Database Systems.
SIGMOD Conference
Robert Binna, Eva Zangerle, Martin Pichl, Günther Specht, Viktor Leis
2018 C conf
Latent Feature Combination for Multi-Context Music Recommendation.
CBMI
Martin Pichl, Eva Zangerle
2018 — conf
The Many Faces of Users: Modeling Musical Preference.
ISMIR
Eva Zangerle, Martin Pichl
2017 — conf
Hierarchical Multilabel Classification and Voting for Genre Classification.
MediaEval
Benjamin Murauer, Maximilian Mayerl, Michael Tschuggnall, Eva Zangerle, Martin Pichl, Günther Specht
2017 B conf
Improving Context-Aware Music Recommender Systems: Beyond the Pre-filtering Approach.
ICMR
Martin Pichl, Eva Zangerle, Günther Specht
2017 C conf
Mining Culture-Specific Music Listening Behavior from Social Media Data.
ISM
Martin Pichl, Eva Zangerle, Günther Specht, Markus Schedl
2017 J jnl
Understanding User-Curated Playlists on Spotify: A Machine Learning Approach.
Int. J. Multim. Data Eng. Manag.
Martin Pichl, Eva Zangerle, Günther Specht
2016 C conf
An Empirical Evaluation of Property Recommender Systems for Wikidata and Collaborative Knowledge Bases.
OpenSym
Eva Zangerle, Wolfgang Gassler, Martin Pichl, Stefan Steinhauser, Günther Specht
2016 — conf
Can Microblogs Predict Music Charts? An Analysis of the Relationship Between #Nowplaying Tweets and Music Charts.
ISMIR
Eva Zangerle, Martin Pichl, Benedikt Hupfauf, Günther Specht
2016 C conf
Understanding Playlist Creation on Music Streaming Platforms.
ISM
Martin Pichl, Eva Zangerle, Günther Specht
2015 — conf
#Nowplaying on #Spotify: Leveraging Spotify Information on Twitter for Artist Recommendations.
ICWE Workshops
Martin Pichl, Eva Zangerle, Günther Specht
2015 — conf
Towards a Context-Aware Music Recommendation Approach: What is Hidden in the Playlist Name?
ICDM Workshops
Martin Pichl, Eva Zangerle, Günther Specht
2014 — conf
#nowplaying Music Dataset: Extracting Listening Behavior from Twitter.
WISMM
Eva Zangerle, Martin Pichl, Wolfgang Gassler, Günther Specht
2014 — conf
Combining Spotify and Twitter Data for Generating a Recent and Public Dataset for Music Recommendation.
Grundlagen von Datenbanken
Martin Pichl, Eva Zangerle, Günther Specht