24 citations · 51 across the 4 of their papers we have counts for
4 papers
Doing Personal LAPS: LLM-Augmented Dialogue Construction for Personalized Multi-Session Conversational Search
Hideaki Joko, Shubham Chatterjee, Andrew Ramsay +3
The future of conversational agents will provide users with personalized information responses. However, a significant challenge in developing models is the lack of large-scale dia…
High Recall, Small Data: The Challenges of Within-System Evaluation in a Live Legal Search System
Gineke Wiggers, Suzan Verberne, Arjen de Vries +1
This paper illustrates some challenges of common ranking evaluation methods for legal information retrieval (IR). We show these challenges with log data from a live legal search sy…
MMEAD: MS MARCO Entity Annotations and Disambiguations
Chris Kamphuis, Aileen Lin, Siwen Yang +3
MMEAD, or MS MARCO Entity Annotations and Disambiguations, is a resource for entity links for the MS MARCO datasets. We specify a format to store and share links for both document…
Exploring Deep Space: Learning Personalized Ranking in a Semantic Space
Jeroen B. P. Vuurens, Martha Larson, Arjen P. de Vries
Recommender systems leverage both content and user interactions to generate recommendations that fit users' preferences. The recent surge of interest in deep learning presents new…