Fast Recommendation on Bibliographic Networks

Küçüktunç, Onur; Kaya, Kamer; Saule, Érik; Çatalyürek, Ümit V.

doi:10.1109/asonam.2012.82

Cited by 16 publications

(8 citation statements)

References 27 publications

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“…An article's cumulative reviewability is the log (base 2) of the sum of all such co-citation counts. This yields results analogous to certain effective citation recommendation systems (e.g., Küçüktunç et al 2012;Zhou et al 2008). The variable is standardized to make its effect interpretable.…”

Section: Appendix Fundingmentioning

confidence: 98%

Creative Destruction: The Structural Consequences of Scientific Curation

McMahan

McFarland

2021

Am Sociol Rev

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Communication of scientific findings is fundamental to scholarly discourse. In this article, we show that academic review articles, a quintessential form of interpretive scholarly output, perform curatorial work that substantially transforms the research communities they aim to summarize. Using a corpus of millions of journal articles, we analyze the consequences of review articles for the publications they cite, focusing on citation and co-citation as indicators of scholarly attention. Our analysis shows that, on the one hand, papers cited by formal review articles generally experience a dramatic loss in future citations. Typically, the review gets cited instead of the specific articles mentioned in the review. On the other hand, reviews curate, synthesize, and simplify the literature concerning a research topic. Most reviews identify distinct clusters of work and highlight exemplary bridges that integrate the topic as a whole. These bridging works, in addition to the review, become a shorthand characterization of the topic going forward and receive disproportionate attention. In this manner, formal reviews perform creative destruction so as to render increasingly expansive and redundant bodies of knowledge distinct and comprehensible.

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Section: Appendix Fundingmentioning

confidence: 98%

Creative Destruction: The Structural Consequences of Scientific Curation

McMahan

McFarland

2021

Am Sociol Rev

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“…Note that P transition matrix of random walk-based methods is built using A and p * ; however, the edge weights in rows can be stored and read more efficiently with A in practice [Kucuktunc et al 2012a]. Figure 2 shows that the direction-awareness parameter κ can be adjusted to reach papers from different years with a range from late 1980's to 2010 for almost all values of d. In our online service, the parameter κ can be set to a value of user's preference.…”

Section: Pagerank Personalized Pagerank and Direction-aware Personamentioning

confidence: 99%

Section: Problem Definitionmentioning

confidence: 99%

“…Furthermore, it has been shown that text-based similarity is not sufficient for this task and that most of the relevant information is contained within the citation information [Strohman et al 2007]. Besides, it is plausible that there is already a correlation between citation similarities and text similarities of the papers [Salton 1963;Peters et al 1995] Following the idea of using citation information for bibliographic search, we built an efficient and effective web service called theadvisor 2 [Kucuktunc et al 2012b;Kucuktunc et al 2012a] based on personalized PageRank. It takes a bibliography file containing a set of papers, i.e., seeds, as an input to initiate the search.…”

Section: Introductionmentioning

confidence: 99%

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Diversifying Citation Recommendations

Küçüktunç

Saule

Kaya

et al. 2014

ACM Trans. Intell. Syst. Technol.

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Literature search is arguably one of the most important phases of the academic and non-academic research. The increase in the number of published papers each year makes manual search inefficient and furthermore insufficient. Hence, automatized methods such as search engines have been of interest in the last thirty years. Unfortunately, these traditional engines use keyword-based approaches to solve the search problem, but these approaches are prone to ambiguity and synonymy. On the other hand, bibliographic search techniques based only on the citation information are not prone to these problems since they do not consider textual similarity. For many particular research areas and topics, the amount of knowledge to humankind is immense, and obtaining the desired information is as hard as looking for a needle in a haystack. Furthermore, sometimes, what we are looking for is a set of documents where each one is different than the others, but at the same time, as a whole we want them to cover all the important parts of the literature relevant to our search. This paper targets the problem of result diversification in citation-based bibliographic search. It surveys a set of techniques which aim to find a set of papers with satisfactory quality and diversity. We enhance these algorithms with a direction-awareness functionality to allow the users to reach either old, well-cited, well-known research papers or recent, less-known ones. We also propose a set of novel techniques for a better diversification of the results. All the techniques considered are compared by performing a rigorous experimentation. The results show that some of the proposed techniques are very successful in practice while performing a search in a bibliographic database.

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“…TheAdvisor [6] is a recommendation system which takes a partial list of the bibliography as the input query. TheAdvisor expends the partial list of the bibliography using citation graph information.…”

Section: Existing Systemsmentioning

confidence: 99%

RefSeer: A citation recommendation system

Huang

Mitra

et al. 2014

IEEE/ACM Joint Conference on Digital Libraries

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Citations are important in academic dissemination. To help researchers check the completeness of citations while authoring a paper, we introduce a citation recommendation system called RefSeer. Researchers can use this system while authoring papers to find related works to cite. It can also be used by reviewers to check the completeness of a paper's references. RefSeer presents both topic-based global recommendations and citation-context-based local recommendations. By evaluating the quality of recommendations, we show that such a recommendation system can recommend citations with good precision and recall. We also show that our recommendation system is very efficient and scalable.

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Fast Recommendation on Bibliographic Networks

Cited by 16 publications

References 27 publications

Creative Destruction: The Structural Consequences of Scientific Curation

Creative Destruction: The Structural Consequences of Scientific Curation

Diversifying Citation Recommendations

RefSeer: A citation recommendation system

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