Survey on applications of multi-armed and contextual bandits
In recent years, the multi-armed bandit (MAB) framework has attracted a lot of attention in
various applications, from recommender systems and information retrieval to healthcare and …
various applications, from recommender systems and information retrieval to healthcare and …
A survey on practical applications of multi-armed and contextual bandits
In recent years, multi-armed bandit (MAB) framework has attracted a lot of attention in
various applications, from recommender systems and information retrieval to healthcare and …
various applications, from recommender systems and information retrieval to healthcare and …
Assessing ranking metrics in top-N recommendation
The evaluation of recommender systems is an area with unsolved questions at several
levels. Choosing the appropriate evaluation metric is one of such important issues. Ranking …
levels. Choosing the appropriate evaluation metric is one of such important issues. Ranking …
A survey on compositional generalization in applications
The field of compositional generalization is currently experiencing a renaissance in AI, as
novel problem settings and algorithms motivated by various practical applications are being …
novel problem settings and algorithms motivated by various practical applications are being …
Diverse user preference elicitation with multi-armed bandits
Personalized recommender systems rely on knowledge of user preferences to produce
recommendations. While those preferences are often obtained from past user interactions …
recommendations. While those preferences are often obtained from past user interactions …
Fusion in information retrieval: Sigir 2018 half-day tutorial
Fusion is an important and central concept in Information Retrieval. The goal of fusion
methods is to merge different sources of information so as to address a retrieval task. For …
methods is to merge different sources of information so as to address a retrieval task. For …
Leveraging user interaction signals and task state information in adaptively optimizing usefulness-oriented search sessions
Current information retrieval (IR) systems still face plenty of challenges when applied in
addressing complex search tasks (CSTs) that trigger multi-round search iterations. Existing …
addressing complex search tasks (CSTs) that trigger multi-round search iterations. Existing …
BertPE: A BERT-Based Pre-retrieval Estimator for Query Performance Prediction
Abstract Query Performance Prediction (QPP) aims to estimate the effectiveness of a query
in addressing the underlying information need without any relevance judgments. More …
in addressing the underlying information need without any relevance judgments. More …
PERSON: Personalized information retrieval evaluation based on citation networks
Despite the importance of personalization in information retrieval, there is a big lack of
standard datasets and methodologies for evaluating personalized information retrieval (PIR) …
standard datasets and methodologies for evaluating personalized information retrieval (PIR) …
Building cultural heritage reference collections from social media through pooling strategies: the Case of 2020's tensions over race and heritage
Social networks constitute a valuable source for documenting heritage constitution
processes or obtaining a real-time snapshot of a cultural heritage research topic. Many …
processes or obtaining a real-time snapshot of a cultural heritage research topic. Many …