Probabilistic Latent Semantic Indexing is a novel approach to automated document indexing which is based on a statistical latent class model for factor analysis of count data. Fitted from a training corpus of text documents by a generalization of the Expectation Maximization algorithm, the utilized model is able to deal with domain{specific synonymy as well…
ACM SIGIR Forum Template
Write in a clean editor, then format for ACM SIGIR Forum in one click — DocuGuru applies the official ACM template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the ACM SIGIR Forum format
ACM SIGIR Forum is a peer-reviewed journal published by ACM, covering Information Retrieval and Search Behavior, Semantic Web and Ontologies, Topic Modeling.
| Publisher | ACM |
|---|---|
| Reference style | Numbered (ACM) Numbered — [1], [2] in the text [1] Ada Smith, Ben Jones, and Cara Lee. 2023. A representative article title. ACM SIGIR Forum 12, 3, Article 45 (2023).
Formats any DOI in ACM SIGIR Forum style. No sign-up. |
| Publishes research in | Information Retrieval and Search Behavior Semantic Web and Ontologies Topic Modeling Advanced Database Systems and Queries Web Data Mining and Analysis |
| ISSN | 0163-5840 |
| Citation impact (2-yr) | 1.24 |
| h-index | 71 |
| i10-index | 339 |
| Total citations | 45,432 |
| Top institutions publishing here | University of Amsterdam |
| Journal website | portal.acm.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in ACM SIGIR Forum per year
Citation impact of ACM SIGIR Forum by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in ACM SIGIR Forum
column Share on An Algorithmic Framework for Performing Collaborative Filtering Authors: Jonathan L. Herlocker University of Minnesota University of MinnesotaView Profile , Joseph A. Konstan University of Minnesota University of MinnesotaView Profile , Al Borchers University of Minnesota University of MinnesotaView Profile , John Riedl University of Minnesota University of MinnesotaView Profile Authors Info &…
In today's world, there is no shortage of information. However, for a specific information need, only a small subset of all of the available information will be useful. The field of information retrieval (IR) is the study of methods to provide users with that small subset of information relevant to their needs and to do…
Classic IR (information retrieval) is inherently predicated on users searching for information, the so-called "information need". But the need behind a web search is often not informational -- it might be navigational (give me the url of the site I want to reach) or transactional (show me sites where I can perform a certain transaction,…