research
∙
09/20/2023
SE-PEF: a Resource for Personalized Expert Finding
The problem of personalization in Information Retrieval has been under s...
share
research
∙
06/28/2023
SE-PQA: Personalized Community Question Answering
Personalization in Information Retrieval is a topic studied for a long t...
research
∙
06/21/2023
Post-hoc Selection of Pareto-Optimal Solutions in Search and Recommendation
Information Retrieval (IR) and Recommender Systems (RS) tasks are moving...
research
∙
11/25/2022
Caching Historical Embeddings in Conversational Search
Rapid response, namely low latency, is fundamental in search application...
research
∙
06/01/2022
ILMART: Interpretable Ranking with Constrained LambdaMART
Interpretable Learning to Rank (LtR) is an emerging field within the res...
research
∙
05/06/2021
Learning Early Exit Strategies for Additive Ranking Ensembles
Modern search engine ranking pipelines are commonly based on large machi...
research
∙
11/17/2020
Dynamic Hard Pruning of Neural Networks at the Edge of the Internet
Neural Networks (NN), although successfully applied to several Artificia...
research
∙
04/30/2020
Query-level Early Exit for Additive Learning-to-Rank Ensembles
Search engine ranking pipelines are commonly based on large ensembles of...
research
∙
04/29/2020
Training Curricula for Open Domain Answer Re-Ranking
In precision-oriented tasks like answer ranking, it is more important to...
research
∙
04/29/2020
Efficient Document Re-Ranking for Transformers by Precomputing Term Representations
Deep pretrained transformer networks are effective at various ranking ta...
research
∙
04/29/2020
Expansion via Prediction of Importance with Contextualization
The identification of relevance with little textual context is a primary...
research
∙
01/09/2020
Topical Result Caching in Web Search Engines
Caching search results is employed in information retrieval systems to e...
research
∙
04/16/2019