Browsing UiS Brage by Author "Balog, Krisztian"
Now showing items 21-38 of 38
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Extended Overview of the Living Labs for Information Retrieval Evaluation (LL4IR) CLEF Lab 2015
Schuth, Anne; Balog, Krisztian; Kelly, Liadh (Journal article, 2015)In this extended overview paper we discuss the first Living Labs for Information Retrieval Evaluation (LL4IR) lab which was held at CLEF 2015. The idea with living labs is to provide a benchmarking platform for researchers ... -
From Baseline to Top Performer: A Reproducibility Study of Approaches at the TREC 2021 Conversational Assistance Track
Lajewska, Weronika; Balog, Krisztian (Chapter, 2023)This paper reports on an effort of reproducing the organizers’ baseline as well as the top performing participant submission at the 2021 edition of the TREC Conversational Assistance track. TREC systems are commonly regarded ... -
Generating Usage-related Questions for Preference Elicitation in Conversational Recommender Systems
Kostric, Ivica; Balog, Krisztian; Radlinski, Filip (Journal article, 2023)A key distinguishing feature of conversational recommender systems over traditional recommender systems is theirability to elicit user preferences using natural language. Currently, the predominant approach to preference ... -
Information Retrieval using applied Supervised Learning for Personalized E-Commerce
Hellum, Kjell Arne (Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017-06-15)Personalized E-Commerce Search Challenge issued by the International Conference on Information and Knowledge Management. By analyzing historical data containing browsing logs, queries, user interactions, and static data ... -
Lærings System og Smart Tekst Editor for å forbedre Lærer - Student Samarbeid
Billa, Osama; Kassaye, Yohannes Dawit (Bachelor thesis, 2021)Web Utvikling, TypeScript, JavaScript, HTML, CSS, MySQL, Database, Vue.js, Node.js -
On Interpretation and Measurement of Soft Attributes for Recommendation
Balog, Krisztian; Radlinski, Filip; Karatzoglou, Alexandros (Chapter, 2021-07)We address how to robustly interpret natural language refinements (or critiques) in recommender systems. In particular, in human-human recommendation settings people frequently use soft attributes to express preferences ... -
Personalizing Human-Robot Dialogue Interactions using Face and Name Recognition
Orujova, Narmin; Khlybova, Ekaterina (Master thesis, 2022)Task-oriented dialogue systems are computer systems that aim to provide an interaction indistinguishable from ordinary human conversation with the goal of completing user- defined tasks. They are achieving this by analyzing ... -
Probabilistic Field Mapping for Product Search
Ghirmatsion, Aman Berhane; Balog, Krisztian (Journal article, 2015)This paper describes our participation in the product search task of the CLEF 2015 LL4IR Lab. Working within a generative language modeling framework, we represent products as semi-structured documents. Our focus is on ... -
Report on the 1st Simulation for Information Retrieval Workshop (Sim4IR 2021) at SIGIR 2021
Balog, Krisztian; Maxwell, David; Thomas, Paul; Zhang, Shuo (Journal article, 2021)Simulation is used as a low-cost and repeatable means of experimentation. As Information Retrieval (IR) researchers, we are no strangers to the idea of using simulation within our own field---such as the traditional means ... -
Report on the 44th European Conference on Information Retrieval (ECIR 2022): The First Major Hybrid IR Conference
Balog, Krisztian; Nørvåg, Kjetil; Setty, Vinay (Journal article, 2022)The 44th European Conference on Information Retrieval (ECIR’22) was held in Stavanger, Norway. It represents a landmark, not only for being the northernmost ECIR ever, but also for being the first major IR conference in a ... -
Report on the Workshop on Personal Knowledge Graphs (PKG 2021) at AKBC 2021
Balog, Krisztian; Mirza, Paramita; Skjæveland, Martin G; Wang, Zhilin (Journal article, 2022)The term personal knowledge graph (PKG) has been broadly used to refer to structured representation of information about a given user, primarily in the form of entities that are personally related to the user. The potential ... -
Semantic Answer Type Prediction using BERT: IAI at the ISWC SMART Task 2020
Setty, Vinay; Balog, Krisztian (Chapter, 2020)This paper summarizes our participation in the SMART Task of the ISWC 2020 Challenge. A particular question we are interested in answering is how well neural methods, and specifically transformer models, such as BERT, ... -
SmartTable: A Spreadsheet Program with Intelligent Assistance
Zhang, Shuo; Zada, Vugar Abdul; Balog, Krisztian (Chapter, 2018)We introduce SmartTable, an online spreadsheet application that is equipped with intelligent assistance capabilities. With a focus on relational tables, describing entities along with their attributes, we offer assistance ... -
A Systematic Review of Fairness, Accountability, Transparency and Ethics in Information Retrieval
Bernard, Nolwenn; Balog, Krisztian (Peer reviewed; Journal article, 2023)We live in an information society that strongly relies on information retrieval systems, such as search engines and conversational assistants. Consequently, the trustworthiness of these systems is of critical importance, ... -
Table Search, Generation and Completion
Zhang, Shuo (PhD thesis UiS;, Doctoral thesis, 2019-10)Tables are one of those “universal tools” that are practical and useful in many application scenarios. Tables can be used to collect and organize information from multiple sources and then turn that information into knowledge ... -
Table2Vec: Neural Word and Entity Embeddings for Table Population and Retrieval
Deng, Li (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06)Tables contain a significant amount of valuable knowledge in a structured form. In recent years, a growing body of studies related to tables has been conducted in different application domains. To the best of our knowledge, ... -
Task-completion Engines: A Vision with a Plan
Balog, Krisztian (Journal article, 2015)This paper presents a vision and a plan for task-completion engines that support humans in solving complex, knowledge-intensive tasks, by providing an integrated environment that caters for all taskrelated activities. We ... -
Towards More Natural Explanations of User Preferences
Tan, Renny Octavia (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-07-15)Explainable recommendations refer to algorithms or methods that enable recommender systems to provide recommendations to the users, as well as to explain the reason why the items or products are being recommended. Recently, ...