A survey of automatic query expansion in information retrieval
C Carpineto, G Romano - Acm Computing Surveys (CSUR), 2012 - dl.acm.org
The relative ineffectiveness of information retrieval systems is largely caused by the
inaccuracy with which a query formed by a few keywords models the actual user information …
inaccuracy with which a query formed by a few keywords models the actual user information …
Personalised information retrieval: survey and classification
Abstract Information Retrieval (IR) systems assist users in finding information from the
myriad of information resources available on the Web. A traditional characteristic of IR …
myriad of information resources available on the Web. A traditional characteristic of IR …
Novelty and diversity in information retrieval evaluation
Evaluation measures act as objective functions to be optimized by information retrieval
systems. Such objective functions must accurately reflect user requirements, particularly …
systems. Such objective functions must accurately reflect user requirements, particularly …
Pseudo-relevance feedback for multiple representation dense retrieval
Pseudo-relevance feedback mechanisms, from Rocchio to the relevance models, have
shown the usefulness of expanding and reweighting the users' initial queries using …
shown the usefulness of expanding and reweighting the users' initial queries using …
Terrier information retrieval platform
Terrier is a modular platform for the rapid development of large-scale Information Retrieval
(IR) applications. It can index various document collections, including TREC and Web …
(IR) applications. It can index various document collections, including TREC and Web …
ColBERT-PRF: Semantic pseudo-relevance feedback for dense passage and document retrieval
Pseudo-relevance feedback mechanisms, from Rocchio to the relevance models, have
shown the usefulness of expanding and reweighting the users' initial queries using …
shown the usefulness of expanding and reweighting the users' initial queries using …
[書籍][B] Estimating the query difficulty for information retrieval
Many information retrieval (IR) systems suffer from a radical variance in performance when
responding to users' queries. Even for systems that succeed very well on average, the …
responding to users' queries. Even for systems that succeed very well on average, the …
Query dependent pseudo-relevance feedback based on wikipedia
Pseudo-relevance feedback (PRF) via query-expansion has been proven to be e® ective in
many information retrieval (IR) tasks. In most existing work, the top-ranked documents from …
many information retrieval (IR) tasks. In most existing work, the top-ranked documents from …
Inferring query performance using pre-retrieval predictors
The prediction of query performance is an interesting and important issue in Information
Retrieval (IR). Current predictors involve the use of relevance scores, which are time …
Retrieval (IR). Current predictors involve the use of relevance scores, which are time …
Learning to estimate query difficulty: including applications to missing content detection and distributed information retrieval
In this article we present novel learning methods for estimating the quality of results returned
by a search engine in response to a query. Estimation is based on the agreement between …
by a search engine in response to a query. Estimation is based on the agreement between …