Lower-bounding term frequency normalization
In this paper, we reveal a common deficiency of the current retrieval models: the component
of term frequency (TF) normalization by document length is not lower-bounded properly; as …
of term frequency (TF) normalization by document length is not lower-bounded properly; as …
Explainable information retrieval: A survey
Explainable information retrieval is an emerging research area aiming to make transparent
and trustworthy information retrieval systems. Given the increasing use of complex machine …
and trustworthy information retrieval systems. Given the increasing use of complex machine …
Towards axiomatic explanations for neural ranking models
Recently, neural networks have been successfully employed to improve upon state-of-the-
art effectiveness in ad-hoc retrieval tasks via machine-learned ranking functions. While …
art effectiveness in ad-hoc retrieval tasks via machine-learned ranking functions. While …
A theoretical analysis of pseudo-relevance feedback models
S Clinchant, E Gaussier - Proceedings of the 2013 Conference on the …, 2013 - dl.acm.org
Our goal in this study is to compare several widely used pseudo-relevance feedback (PRF)
models and understand what explains their respective behavior. To do so, we first analyze …
models and understand what explains their respective behavior. To do so, we first analyze …
A Pólya urn document language model for improved information retrieval
The multinomial language model has been one of the most effective models of retrieval for
more than a decade. However, the multinomial distribution does not model one important …
more than a decade. However, the multinomial distribution does not model one important …
Axiomatic result re-ranking
We consider the problem of re-ranking the top-k documents returned by a retrieval system
given some search query. This setting is common to learning-to-rank scenarios, and it is …
given some search query. This setting is common to learning-to-rank scenarios, and it is …
A topic community‐based method for friend recommendation in large‐scale online social networks
Online social networks (OSNs) have become more and more popular and have attracted a
great many users. Friend recommendation, which is one of the important services in OSN …
great many users. Friend recommendation, which is one of the important services in OSN …
A topic community-based method for friend recommendation in online social networks via joint nonnegative matrix factorization
Online social networks (OSN) have become more and more popular and have accumulated
a great many users. Friend recommendation can help users discover their interested friends …
a great many users. Friend recommendation can help users discover their interested friends …
A constraint to automatically regulate document-length normalisation
R Cummins, C O'Riordan - Proceedings of the 21st ACM international …, 2012 - dl.acm.org
Retrieval functions in information retrieval (IR) are fundamental to the effectiveness of search
systems. However, considerable parameter tuning is often needed to increase the …
systems. However, considerable parameter tuning is often needed to increase the …
An information-based cross-language information retrieval model
B Li, É Gaussier - Advances in Information Retrieval: 34th European …, 2012 - Springer
We present in this paper well-founded cross-language extensions of the recently introduced
models in the information-based family for information retrieval, namely the LL (log-logistic) …
models in the information-based family for information retrieval, namely the LL (log-logistic) …