E.LACIĆ

Publications

40 peer-reviewed papers. 40 have a plain-language note, so you can find out what a paper says before deciding whether to read it. Every entry has its PDF and a citation you can copy.

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2026

  1. 2026

    Visual Content Moderation in Messaging Systems

    Ljubičić, M., Lacić, E., Helic, D.

    WWW 2026Team AIR

    content moderationspam detectionreal timeclip

    PDFwhat it says

2025

  1. 2025

    On the Language and Gender Biases in PSTN, VoIP and Neural Audio Codecs

    Altwlkany, K., Kuric, A., Lacić, E.

    Interspeech 2025Team AIR

    audio codecsfairness & biasspeech processing

    PDFwhat it says

  2. 2025

    Towards Improving Visual Chatbot Builders with Intent-based Copilots

    Lacic, E., Fribert, P., Lukac, A., Lovric, I.

    IUI 2025 · workshopTeam AIR

    visual chatbot buildingintent based copilotslarge language modelspopularity bias

    PDFwhat it says

  3. 2025

    Vocalize: Lead Acquisition and User Engagement through Gamified Voice Competitions

    Teskeredzic, E., Paric, M., Sestic, A., Fribert, P., Lukac, A., Hadzic, H., Altwlkany, K., Lacic, E.

    Hypertext 2025 · demoTeam AIR

    lead acquisitionuser engagementgamified voice competitionsspeech processing

    PDFwhat it says

2024

  1. 2024

    Editorial: Reviews in recommender systems: 2022

    Kowald, D., Yang, D., Lacić, E.

    Frontiers in Big Data 2024 · journal

    recommender systemsfairness & biasprivacycollaborative filtering

    PDFwhat it says

  2. 2024

    Knowledge Distillation for Real-Time Classification of Early Media in Voice Communications

    Altwlkany, K., Hadžić, H., Kurić, A., Lacić, E.

    MASCOTS 2024 · preprintTeam AIR

    knowledge distillationaudio classificationreal timevoice communications

    PDFwhat it says

2023

  1. 2023

    Beyond-accuracy: a review on diversity, serendipity, and fairness in recommender systems based on graph neural networks

    Duricic, T., Kowald, D., Lacić, E., Lex, E.

    Frontiers in Big Data 2023 · journal

    recommender systemsgraph neural networksdiversityfairness & bias

    PDFwhat it says

  2. 2023

    Uptrendz: API-Centric Real-Time Recommendations in Multi-Domain Settings

    Lacić, E., Duricic, T., Fadljevic, L., Theiler, D., Kowald, D.

    ECIR 2023 · demo

    multi domain recommendationsapi centric recommendationsreal time

    PDFposterwhat it says

2022

  1. 2022

    Popularity Bias in Collaborative Filtering-Based Multimedia Recommender Systems

    Kowald, D., Lacić, E.

    BIAS 2022 · workshop @ ECIR 2022

    popularity biascollaborative filteringmultimedia recommender systemsalgorithmic fairness

    PDFwhat it says

  2. 2022

    Recommendations in a Multi-Domain Setting: Adapting for Customization, Scalability and Real-Time Performance

    Lacić, E., Kowald, D.

    ECIR 2022 · industry

    multi domain recommendationsreal timecollaborative filtering

    PDFposterwhat it says

  3. 2022

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

    Lacić, E., Fadljevic, L., Weissenboeck, F., Lindstaedt, S., Kowald, D.

    ECIR 2022

    news recommendationpopularity biasuser interface

    PDFposterwhat it says

2021

  1. 2021

    Predicting treatment outcomes using explainable machine learning in children with asthma

    Lovric, M., Banic, I., Lacić, E., Pavlovic, K., Kern, R., Turkalj, M.

    Children 2021 · journal

    childhood asthmatreatment outcome predictionexplainable machine learningprecision medicine

    PDFwhat it says

  2. 2021

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

    Lovric, M., Đuricic, T., Tran, H. T., Hussain, H., Lacić, E., Rasmussen, M. A., Kern, R.

    Pharmaceuticals 2021 · journal

    cheminformaticsdimensionality reductionunsupervised transfer learningmolecular fingerprints

    PDFwhat it says

2020

  1. 2020

    Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering

    Duricic, T., Hussain, H., Lacić, E., Kowald, D., Helic, D., Lex, E.

    ISMIS 2020

    trust based recommendationcollaborative filteringgraph embeddingscold start

    PDFwhat it says

  2. 2020

    Using Autoencoders for Session-based Job Recommendations

    Lacić, E., Reiter-Haas, M., Kowald, D., Dareddy, M., Cho, J., Lex, E.

    UMUAI 2020 · journal

    job recommendationsession based recommendationautoencoders

    PDFwhat it says

2019

  1. 2019

    Evaluating Tag Recommendations for E-Book Annotation Using a Semantic Similarity Metric

    Lacić, E., Kowald, D., Theiler, D., Traub, M., Kuffer, L., Lindstaedt, S., Lex, E.

    REVEAL 2019 · workshop @ RecSys 2019

    tag recommendationebook annotationhybrid recommendation

    PDFposterwhat it says

  2. 2019

    Should we Embed? A Study on the Online Performance of Utilizing Embeddings for Real-Time Job Recommendations

    Lacić, E., Reiter-Haas, M., Duricic, M., Slawicek, V., Lex, E.

    RecSys 2019

    job recommendationreal timeitem embeddings

    PDFposterwhat it says

  3. 2019

    Using the Open Meta Kaggle Dataset to Evaluate Tripartite Recommendations in Data Markets

    Kowald, D., Traub, M., Theiler, D., Gursch, H., Lacić, E., Lindstaedt, S., Kern, R., Lex, E.

    REVEAL 2019 · workshop @ RecSys 2019

    tripartite recommendationdata marketscollaborative filtering

    PDFposterwhat it says

2018

  1. 2018

    AFEL-REC: A Recommender System for Providing Learning Resource Recommendations in Social Learning Environments

    Kowald, D., Lacić, E., Theiler, D., Lex, E.

    SIR 2018 · workshop @ CIKM 2018

    social learning environmentslearning resource recommendationcollaborative filteringapache solr

    PDFwhat it says

  2. 2018

    Beyond Accuracy Optimization: On the Value of Item Embeddings for Student Job Recommendation

    Lacić, E., Kowald, D., Reiter-Haas, M., Slawicek, V., Lex, E.

    IFUP 2018 · workshop @ WSDM 2018

    item embeddingsjob recommendationnoveltydiversity

    PDFwhat it says

  3. 2018

    Gone in 30 days! Predictions for car import planning

    Lacić, E., Traub, M., Duricic, T., Haslauer, E., Lex, E.

    it - Information Technology 2018 · journal

    car import forecastingautomotive industrylstm networkssarima

    PDFwhat it says

  4. 2018

    Neighborhood Troubles: On the Value of User Pre-Filtering To Speed Up and Enhance Recommendations

    Lacić, E., Kowald, D., Lex, E.

    EYRE 2018 · workshop @ CIKM 2018

    user pre filteringcollaborative filteringreal timeapache solr

    PDFwhat it says

  5. 2018

    Trust-Based Collaborative Filtering: Tackling the Cold Start Problem Using Regular Equivalence

    Duricic, T., Lacić, E., Kowald, D., Lex, E.

    RecSys 2018

    trust based recommendationcollaborative filteringcold startkatz similarity

    PDFposterwhat it says

2017

  1. 2017

    Real-Time Recommendations in a Multi-Domain Environment

    Lacić, E.

    ACM SIGWEB Newsletter 2017 · newsletter

    real timemulti domain recommendationsmicroservices architectureapache solr

    PDFwhat it says

  2. 2017

    Studo Jobs: Enriching Data With Predicted Job Labels

    Reiter-Haas, M., Slawicek, V., Lacić, E.

    RS-SNA 2017 · workshop @ i-KNOW 2017

    job label predictiondata enrichmentmulti label classificationsvm classification

    PDFwhat it says

  3. 2017

    Tailoring Recommendations for a Multi-Domain Environment

    Lacić, E., Kowald, D., Lex, E.

    RecSysKTL 2017 · workshop @ RecSys 2017

    recommender systemsmulti domain recommendationsmicroservices architectureapache solr

    PDFwhat it says

2016

  1. 2016

    High Enough?: Explaining and Predicting Traveler Satisfaction Using Airline Reviews

    Lacić, E., Kowald, D., Lex, E.

    HT 2016

    traveler satisfaction predictionairline reviewssentiment analysisfeature analysis

    PDFwhat it says

  2. 2016

    Need Help? Recommending Social Care Institutions

    Traub, M., Lacić, E., Kowald, D., Kahr, M., Lex, E.

    RSBDA 2016 · workshop @ i-KNOW 2016

    social care recommendationcontent based recommendationhybrid recommendationapache solr

    PDFwhat it says

  3. 2016

    Real-Time Recommendations in a Multi-Domain Environment

    Lacić, E.

    HT 2016

    real timemulti domain recommendationsscalabilityapache solr

    PDFposterwhat it says

2015

  1. 2015

    ScaR: Towards a Real-Time Recommender Framework Following the Microservices Architecture

    Lacić, E., Traub, M., Kowald, D., Lex, E.

    LSRS 2015 · workshop @ RecSys 2015

    real timerecommender systemsmicroservices architectureapache solr

    PDFwhat it says

  2. 2015

    Smart booking without looking: providing hotel recommendations in the TripRebel portal

    Traub, M., Kowald, D., Lacić, E., Schoen, P., Supp, G., Lex, E.

    i-KNOW 2015 · demo

    hotel recommendationapache solrcollaborative filteringhybrid recommendation

    PDFposterwhat it says

  3. 2015

    Tackling Cold-Start Users in Recommender Systems with Indoor Positioning Systems

    Lacić, E., Kowald, D., Traub, M., Luzhnica, G., Simon, J., Lex, E.

    RecSys 2015

    cold startindoor positioning systemscollaborative filtering

    PDFposterwhat it says

  4. 2015

    TagRec: towards a toolkit for reproducible evaluation and development of tag-based recommender algorithms

    Trattner, C., Kowald, D., Lacić, E.

    ACM SIGWEB Newsletter 2015 · newsletter

    tag recommendationfolksonomyreproducibilitytoolkit development

    PDFwhat it says

  5. 2015

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

    Dennerlein, S., Kowald, D., Lex, E., Theiler, D., Lacić, E., Ley, T.

    i-KNOW 2015

    social semantic technologiesinformal workplace learningtechnology enhanced learningservice oriented architecture

    PDFwhat it says

  6. 2015

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

    Lacić, E., Kowald, D., Eberhard, L., Trattner, C., Parra, D., Marinho, L. B.

    MMSM 2015 · book chapter

    online marketplacessocial datalocation based datacollaborative filtering

    PDFwhat it says

2014

  1. 2014

    Recommending items in social tagging systems using tag and time information

    Lacić, E., Kowald, D., Seitlinger, P., Trattner, C., Parra, D.

    SP 2014 · workshop @ HT 2014

    collaborative filteringsocial taggingitem rankingbase level learning

    PDFwhat it says

  2. 2014

    Socrecm: A scalable social recommender engine for online marketplaces

    Lacić, E., Kowald, D., Trattner, C.

    HT 2014

    social recommender engineonline marketplacesapache solr

    PDFwhat it says

  3. 2014

    Tagrec: Towards a standardized tag recommender benchmarking framework

    Kowald, D., Lacić, E., Trattner, C.

    HT 2014

    tag recommendationbenchmarking frameworkfolksonomyhuman memory models

    PDFwhat it says

  4. 2014

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

    Lacić, E., Kowald, D., Parra, D., Kahr, M., Trattner, C.

    WWW 2014

    social recommender enginescalabilityonline marketplacesapache solr

    PDFwhat it says

2013

  1. 2013

    LIM App: Reflecting on Audience Feedback for Improving Presentation Skills

    Rivera-Pelayo, V., Lacić, E., Zacharias, V., Studer, R.

    EC-TEL 2013

    reflective learningpresentation skillsaudience feedbackquantified self

    PDFwhat it says