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Expedition: A Time-Aware Exploratory Search System Designed for Scholars
Scholars have more complex information needs in comparison to general users.
History by Diversity: Helping Historians search News Archives
To support this search strategy, we introduce the notion of a Historical Query Intent to explicitly model a historian's search task and define an aspect-time diversification problem over news archives.
Discovering Entities with Just a Little Help from You
For such entities, mining a suitable representation in a fully automated fashion is very difficult, resulting in poor linking accuracy.
Designing Search Tasks for Archive Search
Longitudinal corpora like legal, corporate and newspaper archives are of immense value to a variety of users, and time as an important factor strongly influences their search behavior in these archives.
Interpreting search result rankings through intent modeling
In a case study we also show our framework can be employed to interpret the results of the DRMM neural retrieval model in various scenarios.
EXS: Explainable Search Using Local Model Agnostic Interpretability
EXS is a search system designed specifically to provide its users with insight into the following questions: `What is the intent of the query according to the ranker?
User Fairness in Recommender Systems
Recent works in recommendation systems have focused on diversity in recommendations as an important aspect of recommendation quality.
Posthoc Interpretability of Learning to Rank Models using Secondary Training Data
Predictive models are omnipresent in automated and assisted decision making scenarios.
How much is Wikipedia Lagging Behind News?
In this work, we study the creation of entities in Wikipedia with respect to news by studying how entity and event based information flows from news to Wikipedia.
