Context-aware citation recommendation

By Qi He, Jian Pei, Daniel Kifer, Prasenjit Mitra, L. Giles. The Web Conference, 2010

377 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems, Signal Processing

View Paper: https://www.semanticscholar.org/paper/704d53205d92c85d4f4784cbd7f2f82b2a4007c3

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In Computer Networks and Communications

In Information Systems

In Signal Processing

Citations in the corpus

The ACL Anthology Network Corpus as a Resource for NLP-based Bibliometrics (2013, neutral): “For another example , context-aware citation recommendation techniques (He et al., 2010; Tang & Zhang, 2009; He et al., 2011) can be used to suggest citations to authors or to detect claims that are missing supporting citations.”
Fast ALS-based tensor factorization for context-aware recommendation from implicit feedback (2012, background): “The application fields of context-aware recommenders include among other movie [15] and music recommendation [16], point-of-interest recommendation (POI) [17], citation recommendation [18].”
Relational retrieval using a combination of path-constrained random walks (2010, methodology): “This task is similar to The TREC-CHEM Prior Art Search Task (Lupu et al. 2009), and can also be seen as a simplified version of the context-aware citation recommendation task ( He et al. 2010 ).”
Quote Recommendation in Dialogue using Deep Neural Network (2016, background): “He et al., 2010 [2] also exploit similarity features between candidate paper and current writing context.”
Research-paper recommender systems: a literature survey (2015, methodology): “For instance, five CBF approaches used global popularity metrics in their rankings [13,51,125].”
ClusCite: effective citation recommendation by information network-based clustering (2014, methodology): “Different from the conclusions in [10], We found that Link-PLSA-LDA and TopicSim can only achieve 0.”
S2ORC: The Semantic Scholar Open Research Corpus (2020, methodology): “Without any additional supervision, S2ORC can be used directly for both inline (He et al., 2010; Duma and Klein, 2014; Jeong et al., 2019) and document-level (Yu et al., 2012; Liu et al., 2015; Bhagavatula et al., 2018) citation recommendation.”
Citation recommendation: approaches and datasets (2020, neutral): “It is eye-catching that there is no continuous citing behavior along the temporal dimension, i.e., a paper in our set does not necessarily cite preceeding papers in ourset.”
A new space for comparing graphs (2014, background): “tion. This information can be useful in many applications, for instance, in user based recommendations [21], [11], recommending jobs [23], discovering new collaborations [4], citation recommendations [12]. The focus of this paper is on social network classiﬁcation or equivalently graph classiﬁcation”
GORC: A large contextual citation graph of academic papers (2019, background): “…(Bhagavatula et al., 2018; Liu et al., 2015; Yu et al., 2012), in-line citation recommendation (Jeong et al., 2019; Huang et al., 2015; He et al., 2010), categorizing citation intent (Cohan et al., 2019; Teufel et al., 2006), paper summarization (Cohan and Goharian, 2015; Mitrovic and…”
A Neural Probabilistic Model for Context Based Citation Recommendation (2015, background): “2014) which recommends a list of references for a given manuscript, and local recommendation (Tang and Zhang 2009; He et al. 2010; 2011; Huang et al. 2012b) which recommends citations for a particular context where a citation should be made.”