scispace - formally typeset
Search or ask a question
Topic

Ranking (information retrieval)

About: Ranking (information retrieval) is a research topic. Over the lifetime, 21109 publications have been published within this topic receiving 435130 citations.


Papers
More filters
Book ChapterDOI
07 Nov 2010
TL;DR: This work identifies and systematically discusses three main strategies: a bottom-up strategy that discovers new sources during query processing by following links between sources, a top-down strategy that relies on complete knowledge about the sources to select and process relevant sources, and a mixed strategy that assumes some incomplete knowledge and finds new sources at run-time.
Abstract: Recently, processing of queries on linked data has gained attention. We identify and systematically discuss three main strategies: a bottom-up strategy that discovers new sources during query processing by following links between sources, a top-down strategy that relies on complete knowledge about the sources to select and process relevant sources, and a mixed strategy that assumes some incomplete knowledge and discovers new sources at run-time. To exploit knowledge discovered at run-time, we propose an additional step, explicitly scheduled during query processing, called correct source ranking. Additionally, we propose the adoption of stream-based query processing to deal with the unpredictable nature of data access in the distributed Linked Data environment. In experiments, we show that our implementation of the mixed strategy leads to early reporting of results and thus, more responsive query processing, while not requiring complete knowledge.

119 citations

Proceedings ArticleDOI
01 Aug 2016
TL;DR: The experiments show that the surface textual features do not perform well compared to the argumentation based features, and the social interaction based features are effective especially when more users participate in the discussion.
Abstract: In this paper we study how to identify persuasive posts in the online forum discussions, using data from Change My View sub-Reddit. Our analysis confirms that the users’ voting score for a comment is highly correlated with its metadata information such as published time and author reputation. In this work, we propose and evaluate other features to rank comments for their persuasive scores, including textual information in the comments and social interaction related features. Our experiments show that the surface textual features do not perform well compared to the argumentation based features, and the social interaction based features are effective especially when more users participate in the discussion.

119 citations

Journal ArticleDOI
01 Jun 2000
TL;DR: Q-Pilot is described, an automatic query routing system that attempts to dynamically route each user query to the appropriate specialized search engines, based on an off-line component that creates an approximate model of each specialized search engine's topic.
Abstract: General-purpose search engines such as AltaVista and Lycos are notorious for returning irrelevant results in response to user queries. Consequently, thousands of specialized, topic-specific search engines (from VacationSpot.com to KidsHealth.org) have proliferated on the Web. Typically, topic-specific engines return far better results for `on topic' queries as compared with standard Web search engines. However, it is difficult for the casual user to identify the appropriate specialized engine for any given search. It is more natural for a user to issue queries at a particular Web site, and have these queries automatically routed to the appropriate search engine(s). This paper describes an automatic query routing system called Q-Pilot. Q-Pilot has an off-line component that creates an approximate model of each specialized search engine's topic. On line, Q-Pilot attempts to dynamically route each user query to the appropriate specialized search engines. In our experiments, Q-Pilot was able to identify the appropriate query category 70% of the time. In addition, Q-Pilot picked the best search engine for the query, as one of the top three picks out of its repository of 144 engines, about 40% of the time. This paper reports on Q-Pilot's architecture, the query expansion and clustering algorithms it relies on, and the results of our preliminary experiments.

119 citations

Book ChapterDOI
03 Jun 2020
TL;DR: The shortcomings of currently used coefficients to measure the similarity of two rankings in decision-making problems are identified and a new coefficient is presented that is much better suited to compare the reference ranking and the tested rankings.
Abstract: Multi-criteria decision-making methods are tools that facilitate and help to make better and more responsible decisions Their main objective is usually to establish a ranking of alternatives, where the best solution is in the first place and the worst in the last place However, using different techniques to solve the same decisional problem may result in rankings that are not the same How can we test their similarity? For this purpose, scientists most often use different correlation measures, which unfortunately do not fully meet their objective

119 citations

BookDOI
TL;DR: In the context of the INEX 2007 Ad Hoc Track (BookSearch'07) as discussed by the authors, the authors of this paper presented an XML document classification using Extended VSM (VSM) approach.
Abstract: Ad Hoc Track.- Overview of the INEX 2007 Ad Hoc Track.- INEX 2007 Evaluation Measures.- XML Retrieval by Improving Structural Relevance Measures Obtained from Summary Models.- TopX @ INEX 2007.- The Garnata Information Retrieval System at INEX'07.- Dynamic Element Retrieval in the Wikipedia Collection.- The Simplest XML Retrieval Baseline That Could Possibly Work.- Using Language Models and Topic Models for XML Retrieval.- UJM at INEX 2007: Document Model Integrating XML Tags.- Phrase Detection in the Wikipedia.- Indian Statistical Institute at INEX 2007 Adhoc Track: VSM Approach.- A Fast Retrieval Algorithm for Large-Scale XML Data.- LIG at INEX 2007 Ad Hoc Track: Using Collectionlinks as Context.- Book Search Track.- Overview of the INEX 2007 Book Search Track (BookSearch'07).- Logistic Regression and EVIs for XML Books and the Heterogeneous Track.- CMIC at INEX 2007: Book Search Track.- XML-Mining Track.- Clustering XML Documents Using Closed Frequent Subtrees: A Structural Similarity Approach.- Probabilistic Methods for Structured Document Classification at INEX'07.- Efficient Clustering of Structured Documents Using Graph Self-Organizing Maps.- Document Clustering Using Incremental and Pairwise Approaches.- XML Document Classification Using Extended VSM.- Entity Ranking Track.- Overview of the INEX 2007 Entity Ranking Track.- L3S at INEX 2007: Query Expansion for Entity Ranking Using a Highly Accurate Ontology.- Entity Ranking Based on Category Expansion.- Entity Ranking from Annotated Text Collections Using Multitype Topic Models.- An n-Gram and Initial Description Based Approach for Entity Ranking Track.- Structured Document Retrieval, Multimedia Retrieval, and Entity Ranking Using PF/Tijah.- Using Wikipedia Categories and Links in Entity Ranking.- Integrating Document Features for Entity Ranking.- Interactive Track.- A Comparison of Interactive and Ad-Hoc Relevance Assessments.- Task Effects on Interactive Search: The Query Factor.- Link-the-Wiki Track.- Overview of INEX 2007 Link the Wiki Track.- Using and Detecting Links in Wikipedia.- GPX: Ad-Hoc Queries and Automated Link Discovery in the Wikipedia.- University of Waterloo at INEX2007: Adhoc and Link-the-Wiki Tracks.- Wikipedia Ad Hoc Passage Retrieval and Wikipedia Document Linking.- Multimedia Track.- The INEX 2007 Multimedia Track.

119 citations


Network Information
Related Topics (5)
Web page
50.3K papers, 975.1K citations
83% related
Ontology (information science)
57K papers, 869.1K citations
82% related
Graph (abstract data type)
69.9K papers, 1.2M citations
82% related
Feature learning
15.5K papers, 684.7K citations
81% related
Supervised learning
20.8K papers, 710.5K citations
81% related
Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20241
20233,112
20226,541
20211,105
20201,082
20191,168