Fine-grained document clustering via ranking and its application to social media analytics
Extracting valuable insights from a large volume of unstructured data such as texts through
clustering analysis is paramount to many big data applications. However, document …
clustering analysis is paramount to many big data applications. However, document …
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 …
Relevance-driven clustering for visual information retrieval on twitter
MR Bouadjenek, S Sanner - Proceedings of the 2019 Conference on …, 2019 - dl.acm.org
Geo-temporal visualization of Twitter search results is a challenging task since the
simultaneous display of all matching tweets would result in a saturated and unreadable …
simultaneous display of all matching tweets would result in a saturated and unreadable …
Hypergraph-of-entity: A unified representation model for the retrieval of text and knowledge
Modern search is heavily powered by knowledge bases, but users still query using
keywords or natural language. As search becomes increasingly dependent on the …
keywords or natural language. As search becomes increasingly dependent on the …
The correlation between cluster hypothesis tests and the effectiveness of cluster-based retrieval
We present a study of the correlation between the extent to which the cluster hypothesis
holds, as measured by various tests, and the relative effectiveness of cluster-based retrieval …
holds, as measured by various tests, and the relative effectiveness of cluster-based retrieval …
Testing the cluster hypothesis with focused and graded relevance judgments
The cluster hypothesis is a fundamental concept in ad hoc retrieval. Heretofore, cluster
hypothesis tests were applied to documents using binary relevance judgments. We present …
hypothesis tests were applied to documents using binary relevance judgments. We present …
On clustering and polyrepresentation
I Frommholz, MK Abbasi - European Conference on Information Retrieval, 2014 - Springer
Polyrepresentation is one of the most prominent principles in a cognitive approach to
interactive information seeking and retrieval. When it comes to interactive retrieval …
interactive information seeking and retrieval. When it comes to interactive retrieval …
[PDF][PDF] Language Model and Clustering based Information Retrieval.
I Giakoumi, C Makris, Y Plegas - WEBIST, 2015 - scitepress.org
In this paper, we describe two novel frameworks for improving search results. Both of them
organize relevant documents into clusters utilizing a new soft clustering method and …
organize relevant documents into clusters utilizing a new soft clustering method and …
[PDF][PDF] Updating Rare Term Vector Replacement
T Berka, M Vajteršic - Proceedings of the Sixth International Joint …, 2013 - aclanthology.org
Rare term vector replacement (RTVR) is a novel technique for dimensionality reduction. In
this paper, we introduce an updating algorithm for RTVR. It is capable of updating both the …
this paper, we introduce an updating algorithm for RTVR. It is capable of updating both the …
Toward Scalable Hierarchical Clustering and Co-clustering Methods: application to the Cluster Hypothesis in Information Retrieval
X Wang - 2017 - theses.hal.science
As a major type of unsupervised machine learning method, clustering has been widely
applied in various tasks. Different clustering methods have different characteristics …
applied in various tasks. Different clustering methods have different characteristics …