activity
20172025
most citedTable2Vec: Neural Word and Entity Embeddings for Table Population and Retrieval

95 citations · 744 across the 63 of their papers we have counts for

collaborators
Showing 2023Show all

10 papers · 1 filter

cs.IR2023★ 10 cited

Towards Filling the Gap in Conversational Search: From Passage Retrieval to Conversational Response Generation

Weronika Łajewska, Krisztian Balog

Research on conversational search has so far mostly focused on query rewriting and multi-stage passage retrieval. However, synthesizing the top retrieved passages into a complete,…

cs.IR2023★ 1 cited

Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences

Scott Sanner, Krisztian Balog, Filip Radlinski +2

Traditional recommender systems leverage users' item preference history to recommend novel content that users may like. However, modern dialog interfaces that allow users to expres…

cs.HC2023★ 19 cited

User Simulation for Evaluating Information Access Systems

Krisztian Balog, ChengXiang Zhai

Information access systems, such as search engines, recommender systems, and conversational assistants, have become integral to our daily lives as they help us satisfy our informat…

cs.IR2023★ 18 cited

MG-ShopDial: A Multi-Goal Conversational Dataset for e-Commerce

Nolwenn Bernard, Krisztian Balog

Conversational systems can be particularly effective in supporting complex information seeking scenarios with evolving information needs. Finding the right products on an e-commerc…

cs.AI2023★ 11 cited

An Ecosystem for Personal Knowledge Graphs: A Survey and Research Roadmap

Martin G. Skjæveland, Krisztian Balog, Nolwenn Bernard +2

This paper presents an ecosystem for personal knowledge graphs (PKGs), commonly defined as resources of structured information about entities related to an individual, their attrib…

cs.HC2023★ 9 cited

Measuring the Impact of Explanation Bias: A Study of Natural Language Justifications for Recommender Systems

Krisztian Balog, Filip Radlinski, Andrey Petrov

Despite the potential impact of explanations on decision making, there is a lack of research on quantifying their effect on users' choices. This paper presents an experimental prot…