LEADER 03935nam 22005775 450 001 9911049193303321 005 20260102122903.0 010 $a3-032-12717-3 024 7 $a10.1007/978-3-032-12717-4 035 $a(CKB)44770136900041 035 $a(MiAaPQ)EBC32470864 035 $a(Au-PeEL)EBL32470864 035 $a(DE-He213)978-3-032-12717-4 035 $a(EXLCZ)9944770136900041 100 $a20260102d2026 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Bias, Fairness, and Understudied Users in Information Retrieval $e6th International Workshop, BIAS 2025, and 2nd International Workshop, IR4U2 2025, Padua, Italy, July 17, 2025, Revised Selected Papers /$fedited by Alejandro Bellogin, Ludovico Boratto, Federica Cena, Angelo Geninatti Cossatin, Theo Huibers, Styliani Kleanthous, Monica Landoni, Elisabeth Lex, Francesca Maridina Malloci, Mirko Marras, Noemi Mauro, Emiliana Murgia, Maria Soledad Pera 205 $a1st ed. 2026. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2026. 215 $a1 online resource (228 pages) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v2786 311 08$a3-032-12716-5 327 $a -- Bias and Fairness (Bias 2025). -- Adaptive Repetition for Mitigating Position Bias in LLM-Based Ranking. -- FAIR-MASK: Mitigating Bias in Dense Embedding Retrieval through Dimension Reduction. -- Mitigating Algorithmic Bias through Sampling: The Role of Group Size and Sample Selection. -- Understudied Users. -- Balancing Sensory Needs, Interests and Personality: An Integrated Approach to Event Recommendations for Adults with Autism Spectrum Disorder. -- Blurred Lines: Understanding the Fit of Song Lyrics in Music Catalogs That Can Reach Children Through Recommendations. -- Can You Feel It? Exploring the Emotional Profile of LLM Responses to Children?s Queries. -- Finding Nemo: A Serious Game to Raise Children?s Awareness of Information Pollution. -- Sign Language-Based Conversational Product Search. -- Towards Accessible Information Retrieval for Children with a Mild Intellectual Disability. 330 $aThis book constitutes the conference proceedings of 6th International Workshop on Algorithmic Bias in Search and Recommendation, BIAS 2025 and 2nd International Workshop on Information Retrieval for Understudied Users, IR4U2, held in Padua, Italy, on July 17, 2025. For BIAS 2025, 3 full papers were carefully reviewed and selected from 7 submissions. They focus on data preparation, countermeasure development, evaluation design, and case studies on algorithmic bias in search and recommendation. For IR4U2 2025, all 6 submitted full papers were carefully reviewed and accepted. They focus on user-centered artificial intelligence approaches aimed to better design, develop, and evaluate information retrieval systems that ensure true accessibility and inclusivity. 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v2786 606 $aComputer networks 606 $aArtificial intelligence 606 $aElectronic commerce 606 $aComputer Communication Networks 606 $aArtificial Intelligence 606 $ae-Commerce and e-Business 615 0$aComputer networks. 615 0$aArtificial intelligence. 615 0$aElectronic commerce. 615 14$aComputer Communication Networks. 615 24$aArtificial Intelligence. 615 24$ae-Commerce and e-Business. 676 $a004.6 700 $aBellogin$b Alejandro$0885774 701 $aBellogin$01885460 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911049193303321 996 $aAdvances in Bias, Fairness, and Understudied Users in Information Retrieval$94520755 997 $aUNINA