output
20032026
most citedLong non-coding RNAs as a source of new peptides

568 citations

Showing cs.IRShow all

15 papers · 1 filter

cs.IR20251 cited

AdSight: Scalable and Accurate Quantification of User Attention in Multi-Slot Sponsored Search

Mario Villaizán-Vallelado, Matteo Salvatori, Kayhan Latifzadeh +3

Modern Search Engine Results Pages (SERPs) present complex layouts where multiple elements compete for visibility. Attention modelling is crucial for optimising web design and comp…

cs.IR20206 cited

Multimodal Metric Learning for Tag-based Music Retrieval

Minz Won, Sergio Oramas, Oriol Nieto +2

Tag-based music retrieval is crucial to browse large-scale music libraries efficiently. Hence, automatic music tagging has been actively explored, mostly as a classification task,…

cs.IR202025 cited

Exploring Artist Gender Bias in Music Recommendation

Dougal Shakespeare, Lorenzo Porcaro, Emilia Gómez +1

Music Recommender Systems (mRS) are designed to give personalised and meaningful recommendations of items (i.e. songs, playlists or artists) to a user base, thereby reflecting and…

cs.IR20202 cited

Scalable Recommendation of Wikipedia Articles to Editors Using Representation Learning

Oleksii Moskalenko, Denis Parra, Diego Saez-Trumper

Wikipedia is edited by volunteer editors around the world. Considering the large amount of existing content (e.g. over 5M articles in English Wikipedia), deciding what to edit next…

cs.IR20206 cited

SciLens News Platform: A System for Real-Time Evaluation of News Articles

Angelika Romanou, Panayiotis Smeros, Carlos Castillo +1

We demonstrate the SciLens News Platform, a novel system for evaluating the quality of news articles. The SciLens News Platform automatically collects contextual information about…

cs.IR202028 cited

Exploring Longitudinal Effects of Session-based Recommendations

Andres Ferraro, Dietmar Jannach, Xavier Serra

Session-based recommendation is a problem setting where the task of a recommender system is to make suitable item suggestions based only on a few observed user interactions in an o…