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UNDR: User-Needs-Driven Ranking of Products in E-Commerce., , , , и . CoRR, (2023)How Accurate Does It Feel? - Human Perception of Different Types of Classification Mistakes., , , , и . CoRR, (2023)Evaluation of a Search Interface for Preference-Based Ranking - Measuring User Satisfaction and System Performance., , и . CoRR, (2023)Dataset of Natural Language Queries for E-Commerce., , , , , и . CoRR, (2023)Starting Conversations with Search Engines - Interfaces that Elicit Natural Language Queries., , , , , и . CoRR, (2023)Dataset of Natural Language Queries for E-Commerce., , , , , и . CHIIR, стр. 307-311. ACM, (2021)Starting Conversations with Search Engines - Interfaces that Elicit Natural Language Queries., , , , , и . CHIIR, стр. 261-265. ACM, (2021)Examining the use of text and video resources during web-search based learning - a new methodological approach., , и . New Rev. Hypermedia Multim., 28 (1-2): 39-67 (2022)How Accurate Does It Feel? - Human Perception of Different Types of Classification Mistakes., , , , и . CHI, стр. 180:1-180:13. ACM, (2022)Learning to Rank for Knowledge Gain., , и . INRA/IWILDS@SIGIR, том 3411 из CEUR Workshop Proceedings, стр. 60-68. CEUR-WS.org, (2022)