Dynamic clustering of streaming short documents
Clustering technology has found numerous applications in mining textual data. It was shown
to enhance the performance of retrieval systems in various different ways, such as …
to enhance the performance of retrieval systems in various different ways, such as …
Improving retrieval of short texts through document expansion
Collections containing a large number of short documents are becoming increasingly
common. As these collections grow in number and size, providing effective retrieval of brief …
common. As these collections grow in number and size, providing effective retrieval of brief …
Processing spatial keyword query as a top-k aggregation query
We examine the spatial keyword search problem to retrieve objects of interest that are
ranked based on both their spatial proximity to the query location as well as the textual …
ranked based on both their spatial proximity to the query location as well as the textual …
Fusion helps diversification
A popular strategy for search result diversification is to first retrieve a set of documents
utilizing a standard retrieval method and then rerank the results. We adopt a different …
utilizing a standard retrieval method and then rerank the results. We adopt a different …
Boosting search performance using query variations
R Benham, J Mackenzie, A Moffat… - ACM Transactions on …, 2019 - dl.acm.org
Rank fusion is a powerful technique that allows multiple sources of information to be
combined into a single result set. Query variations covering the same information need …
combined into a single result set. Query variations covering the same information need …
Fusion in information retrieval: Sigir 2018 half-day tutorial
O Kurland, JS Culpepper - The 41st International ACM SIGIR Conference …, 2018 - dl.acm.org
Fusion is an important and central concept in Information Retrieval. The goal of fusion
methods is to merge different sources of information so as to address a retrieval task. For …
methods is to merge different sources of information so as to address a retrieval task. For …
Wise Fusion: Group Fairness Enhanced Rank Fusion
K Cachel, E Rundensteiner - Proceedings of the 33rd ACM International …, 2024 - dl.acm.org
Rank fusion is a technique for combining multiple rankings into a single aggregated ranking,
commonly used in high-stakes applications. For hiring decisions, a fused ranking might …
commonly used in high-stakes applications. For hiring decisions, a fused ranking might …
Fusion-based methods for result diversification in web search
S Wu, C Huang, L Li, F Crestani - Information Fusion, 2019 - Elsevier
Search result diversification of text documents is especially necessary when a user issues a
faceted or ambiguous query to the search engine. A variety of approaches have been …
faceted or ambiguous query to the search engine. A variety of approaches have been …
Manifold learning for rank aggregation
We address the task of fusing ranked lists of documents that are retrieved in response to a
query. Past work on this task of rank aggregation often assumes that documents in the lists …
query. Past work on this task of rank aggregation often assumes that documents in the lists …
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 …