A survey on data fusion: what for? in what form? what is next?
GK Canalle, AC Salgado, BF Loscio - Journal of Intelligent Information …, 2021 - Springer
Data fusion is the process of merging records from multiple sources which represent the
same real-world object into a single representation. This review of the literature concerns …
same real-world object into a single representation. This review of the literature concerns …
Federated search
M Shokouhi, L Si - Foundations and Trends® in Information …, 2011 - nowpublishers.com
Federated search (federated information retrieval or distributed information retrieval) is a
technique for searching multiple text collections simultaneously. Queries are submitted to a …
technique for searching multiple text collections simultaneously. Queries are submitted to a …
ranx. fuse: A Python Library for Metasearch
E Bassani, L Romelli - Proceedings of the 31st ACM International …, 2022 - dl.acm.org
This paper presents ranx. fuse, a Python library for Metasearch. Built following a user-
centered design, it provides easy-to-use tools for combining the results of multiple search …
centered design, it provides easy-to-use tools for combining the results of multiple search …
Context representation and fusion: Advancements and opportunities
The acceptance and usability of context-aware systems have given them the edge of wide
use in various domains and has also attracted the attention of researchers in the area of …
use in various domains and has also attracted the attention of researchers in the area of …
Efficient query processing for scalable web search
Search engines are exceptionally important tools for accessing information in today's world.
In satisfying the information needs of millions of users, the effectiveness (the quality of the …
In satisfying the information needs of millions of users, the effectiveness (the quality of the …
An outranking approach for rank aggregation in information retrieval
M Farah, D Vanderpooten - Proceedings of the 30th annual international …, 2007 - dl.acm.org
Research in Information Retrieval usually shows performanceimprovement when many
sources of evidence are combined to produce a ranking of documents (eg, texts, pictures …
sources of evidence are combined to produce a ranking of documents (eg, texts, pictures …
An unsupervised learning algorithm for rank aggregation
Many applications in information retrieval, natural language processing, data mining, and
related fields require a ranking of instances with respect to a specified criteria as opposed to …
related fields require a ranking of instances with respect to a specified criteria as opposed to …
Query-performance prediction: setting the expectations straight
The query-performance prediction task has been described as estimating retrieval
effectiveness in the absence of relevance judgments. The expectations throughout the years …
effectiveness in the absence of relevance judgments. The expectations throughout the years …
Fusion fault localizers
Many spectrum-based fault localization techniques have been proposed to measure how
likely each program element is the root cause of a program failure. For various bugs, the …
likely each program element is the root cause of a program failure. For various bugs, the …