Cluster-based information retrieval using pattern mining
This paper addresses the problem of responding to user queries by fetching the most
relevant object from a clustered set of objects. It addresses the common drawbacks of cluster …
relevant object from a clustered set of objects. It addresses the common drawbacks of cluster …
Result diversification based on query‐specific cluster ranking
Result diversification is a retrieval strategy for dealing with ambiguous or multi‐faceted
queries by providing documents that cover as many facets of the query as possible. We …
queries by providing documents that cover as many facets of the query as possible. We …
Ranking document clusters using markov random fields
An important challenge in cluster-based document retrieval is ranking document clusters by
their relevance to the query. We present a novel cluster ranking approach that utilizes …
their relevance to the query. We present a novel cluster ranking approach that utilizes …
The opposite of smoothing: A language model approach to ranking query-specific document clusters
O Kurland - Proceedings of the 31st annual international ACM …, 2008 - dl.acm.org
Exploiting information induced from (query-specific) clustering of top-retrieved documents
has long been proposed as means for improving precision at the very top ranks of the …
has long been proposed as means for improving precision at the very top ranks of the …
How many performance measures to evaluate information retrieval systems?
Evaluating effectiveness of information retrieval systems is achieved by performing on a
collection of documents, a search, in which a set of test queries are performed and, for each …
collection of documents, a search, in which a set of test queries are performed and, for each …
Relevance-and interface-driven clustering for visual information retrieval
MR Bouadjenek, S Sanner, Y Du - Information Systems, 2020 - Elsevier
Search results of spatio-temporal data are often displayed on a map, but when the number
of matching search results is large, it can be time-consuming to individually examine all …
of matching search results is large, it can be time-consuming to individually examine all …
Cluster-based fusion of retrieved lists
A Khudyak Kozorovitsky, O Kurland - Proceedings of the 34th …, 2011 - dl.acm.org
Methods for fusing document lists that were retrieved in response to a query often use
retrieval scores (or ranks) of documents in the lists. We present a novel probabilistic fusion …
retrieval scores (or ranks) of documents in the lists. We present a novel probabilistic fusion …
The cluster hypothesis in information retrieval
O Kurland - European Conference on Information Retrieval, 2014 - Springer
The cluster hypothesis states that “closely associated documents tend to be relevant to the
same requests”[45]. This is one of the most fundamental and influential hypotheses in the …
same requests”[45]. This is one of the most fundamental and influential hypotheses in the …
Fusing different information retrieval systems according to query-topics: a study based on correlation in information retrieval systems and TREC topics
Abstract To evaluate Information Retrieval Systems on their effectiveness, evaluation
programs such as TREC offer a rigorous methodology as well as benchmark collections …
programs such as TREC offer a rigorous methodology as well as benchmark collections …
From Cluster Ranking to Document Ranking
The common approach of using clusters of similar documents for ad hoc document retrieval
is to rank the clusters in response to the query; then, the cluster ranking is transformed to …
is to rank the clusters in response to the query; then, the cluster ranking is transformed to …