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http://elacic.me

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Scopus Author ID: 55844291000
Loop profile: 2104943

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Works (17)

What Drives Readership? An Online Study on User Interface Types and Popularity Bias Mitigation in News Article Recommendations

Lecture Notes in Computer Science
2022 | Book chapter
DOI: 10.1007/978-3-030-99739-7_20
Part of ISBN: 9783030997380
Part of ISBN: 9783030997397
Part of ISSN: 0302-9743
Part of ISSN: 1611-3349
Contributors: Emanuel Lacić
Source: Self-asserted source
Emanuel Lacić

Should We Embed in Chemistry? A Comparison of Unsupervised Transfer Learning with PCA, UMAP, and VAE on Molecular Fingerprints

Pharmaceuticals
2021-08 | Journal article | Author
DOI: 10.3390/ph14080758
Contributors: Mario Lovrić; Tomislav Duricic; Han T. N. Tran; Hussain Hussain; Emanuel Lacić; Morten A. Rasmussen; Roman Kern
Source: check_circle
Multidisciplinary Digital Publishing Institute

Predicting Treatment Outcomes Using Explainable Machine Learning in Children with Asthma

Children
2021-05 | Journal article | Author
DOI: 10.3390/children8050376
Contributors: Mario Lovrić; Ivana Banić; Emanuel Lacić; Kristina Časni; Roman Kern; Mirjana Turkalj
Source: check_circle
Multidisciplinary Digital Publishing Institute

Trust-based collaborative filtering: Tackling the cold start problem using regular equivalence

RecSys 2018 - 12th ACM Conference on Recommender Systems
2018 | Conference paper
DOI: 10.1145/3240323.3240404
EID:

2-s2.0-85056796714
Contributors: Duricic, T.; Kowald, D.; Lacic, E.; Lex, E.
Source: Self-asserted source
Emanuel Lacić via Scopus - Elsevier

Studo jobs: Enriching data with predicted Job labels

CEUR Workshop Proceedings
2017 | Conference paper
EID:

2-s2.0-85040356020
Contributors: Reiter-Haas, M.; Slawicek, V.; Lacic, E.
Source: Self-asserted source
Emanuel Lacić via Scopus - Elsevier

Tailoring recommendations for a multi-domain environment

CEUR Workshop Proceedings
2017 | Conference paper
EID:

2-s2.0-85029085048
Contributors: Lacic, E.; Kowald, D.; Lex, E.
Source: Self-asserted source
Emanuel Lacić via Scopus - Elsevier

High enough? Explaining and predicting traveler satisfaction using airline reviews

HT 2016 - Proceedings of the 27th ACM Conference on Hypertext and Social Media
2016 | Conference paper
DOI: 10.1145/2914586.2914629
EID:

2-s2.0-84980374217
Contributors: Lacic, E.; Kowald, D.; Lex, E.
Source: Self-asserted source
Emanuel Lacić via Scopus - Elsevier

Real-time recommendations in a multi-domain environment

CEUR Workshop Proceedings
2016 | Conference paper
EID:

2-s2.0-84983657276
Contributors: Lacic, E.
Source: Self-asserted source
Emanuel Lacić via Scopus - Elsevier

Smart booking without looking: Providing hotel recommendations in the TripRebel Portal

ACM International Conference Proceeding Series
2015 | Conference paper
DOI: 10.1145/2809563.2809616
EID:

2-s2.0-84958725739
Contributors: Traub, M.; Kowald, D.; Lacic, E.; Schoen, P.; Supp, G.; Lex, E.
Source: Self-asserted source
Emanuel Lacić via Scopus - Elsevier

Tackling cold-start users in recommender systems with indoor positioning systems

CEUR Workshop Proceedings
2015 | Conference paper
EID:

2-s2.0-84944711806
Contributors: Lacic, E.; Kowald, D.; Traub, M.; Luzhnica, G.; Simon, J.; Lex, E.
Source: Self-asserted source
Emanuel Lacić via Scopus - Elsevier

The social semantic server: A flexible framework to support informal learning at the workplace

ACM International Conference Proceeding Series
2015 | Conference paper
DOI: 10.1145/2809563.2809614
EID:

2-s2.0-84958691967
Contributors: Dennerlein, S.; Kowald, D.; Lex, E.; Theiler, D.; Lacic, E.; Ley, T.
Source: Self-asserted source
Emanuel Lacić via Scopus - Elsevier

Utilizing online social network and location-based data to recommend products and categories in online marketplaces

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2015 | Book
DOI: 10.1007/978-3-319-14723-9_6
EID:

2-s2.0-84927627918
Contributors: Lacic, E.; Kowald, D.; Eberhard, L.; Trattner, C.; Parra, D.; Marinho, L.B.
Source: Self-asserted source
Emanuel Lacić via Scopus - Elsevier

Recommending items in social tagging systems using tag and time information

CEUR Workshop Proceedings
2014 | Conference paper
EID:

2-s2.0-84925639527
Contributors: Lacic, E.; Kowald, D.; Seitlinger, P.; Trattner, C.; Parra, D.
Source: Self-asserted source
Emanuel Lacić via Scopus - Elsevier

SocRecM: A scalable social recommender engine for online marketplaces

HT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media
2014 | Conference paper
DOI: 10.1145/2631775.2631783
EID:

2-s2.0-84907401649
Contributors: Lacic, E.; Kowald, D.; Trattner, C.
Source: Self-asserted source
Emanuel Lacić via Scopus - Elsevier

TagRec: Towards a standardized tag recommender benchmarking framework

HT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media
2014 | Conference paper
DOI: 10.1145/2631775.2631781
EID:

2-s2.0-84907414004
Contributors: Kowald, D.; Lacic, E.; Trattner, C.
Source: Self-asserted source
Emanuel Lacić via Scopus - Elsevier

Towards a scalable social recommender engine for online marketplaces: The case of apache solr

WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web
2014 | Conference paper
DOI: 10.1145/2567948.2579245
EID:

2-s2.0-84990963218
Contributors: Lacić, E.; Kowald, D.; Parra, D.; Kahr, M.; Trattner, C.
Source: Self-asserted source
Emanuel Lacić via Scopus - Elsevier

LIM App: Reflecting on audience feedback for improving presentation skills

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2013 | Book
DOI: 10.1007/978-3-642-40814-4_48
EID:

2-s2.0-84883369030
Contributors: Rivera-Pelayo, V.; Lacić, E.; Zacharias, V.; Studer, R.
Source: Self-asserted source
Emanuel Lacić via Scopus - Elsevier

Peer review (1 review for 1 publication/grant)

Review activity for Knowledge and information systems. (1)
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