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Cross-domain citation recommendation based on hybrid topic model and co-citation selection

Supaporn Tantanasiriwong, Sumanta Guha, Paul Janecek, Choochart Haruechaiyasak, Leif Azzopardi
2017 International Journal of Data Mining Modelling and Management  
This paper proposes an approach for cross-domain citation recommendation based on the Hybrid Topic Model and Co-Citation Selection.  ...  2017) Cross-domain citation recommendation based on hybrid topic model and co-citation selection citation selection. International Journal of Data Mining, Modelling and Management, 9 (3).  ...  It has been developed to disseminate open access research outputs, expose data about those outputs, and enable the management and persistent access to Strathclyde's intellectual output.  ... 
doi:10.1504/ijdmmm.2017.086566 fatcat:pqoywmyf7nf3fop7pge5rf5jhi

Cross-domain citation recommendation based on hybrid topic model and co-citation selection

Leif Azzopardi, Choochart Haruechaiyasak, Sumanta Guha, Paul Janecek, Supaporn Tantanasiriwong
2017 International Journal of Data Mining Modelling and Management  
This paper proposes an approach for cross-domain citation recommendation based on the Hybrid Topic Model and Co-Citation Selection.  ...  2017) Cross-domain citation recommendation based on hybrid topic model and co-citation selection citation selection. International Journal of Data Mining, Modelling and Management, 9 (3).  ...  It has been developed to disseminate open access research outputs, expose data about those outputs, and enable the management and persistent access to Strathclyde's intellectual output.  ... 
doi:10.1504/ijdmmm.2017.10007657 fatcat:6belfatx5fh57d742cufaf5ccm

HybridCite: A Hybrid Model for Context-Aware Citation Recommendation [article]

Michael Färber, Ashwath Sampath
2020 arXiv   pre-print
In this paper, firstly, we develop citation recommendation approaches based on embeddings, topic modeling, and information retrieval techniques.  ...  We evaluate the single approaches and the hybrid approach offline based on several data sets, such as the Microsoft Academic Graph (MAG) and the MAG in combination with arXiv and ACL.  ...  Advantages to using only one discipline include likely better recommendations and reduced training time for embedding-based algorithms while missing out on cross-domain recommendations.  ... 
arXiv:2002.06406v1 fatcat:rcwed6sc2jdjxakaeka5ccu5zi

CITREC: An Evaluation Framework for Citation-Based Similarity Measures based on TREC Genomics and PubMed Central

Bela Gipp, Norman Meuschke, Mario Lipinski
2015 Zenodo  
Citation-based similarity measures such as Bibliographic Coupling and Co-Citation are an integral component of many information retrieval systems.  ...  This paper presents CITREC, an open evaluation framework for citation-based and text-based similarity measures.  ...  Coup., Co-Cit., direct citation ; hybrid: comb. of Table 2 lists studies that evaluate citation-based or hybrid similarity measures for topic classification, i.e. assigning documents to one of several  ... 
doi:10.5281/zenodo.3547372 fatcat:3izqxgttdncqdhige5oclldqcm

Chronological Citation Recommendation with Time Preference [article]

Shutian Ma, Heng Zhang, Chengzhi Zhang, Xiaozhong Liu
2021 arXiv   pre-print
Although, some researchers have investigated chronological citation recommendation by adding time related function or modeling textual topics dynamically.  ...  Traditional studies focus on static models of recommending citations, which do not explicitly distinguish differences between papers that are caused by temporal variations.  ...  , & Ortega, 2016) and hybrid ones (H.  ... 
arXiv:2101.07609v1 fatcat:zmlky6w5efga5n2gkzu5ti42pa

Combining Citation Network Information and Text Similarity for Research Article Recommender Systems

Julia A. Sterling, Matthew M. Montemore
2021 IEEE Access  
This framework helps researchers gather a set of papers that are closely related to a particular topic of interest, and allows control over which cross-section of the literature is located.  ...  With these issues in mind, we built a new research-paper recommender system that utilizes both citation information and textual similarity of abstracts to provide a highly focused set of relevant results  ...  ExCiteSearch uses a switching hybrid technique, changing between graphbased recommendations and a form of text-based searching depending on the user's preferences.  ... 
doi:10.1109/access.2021.3137960 fatcat:pudylweshvbrbgivyh4uumv46i

A Hybrid Personalized Scientific Paper Recommendation Approach Integrating Public Contextual Metadata

Nazmus Sakib, Rodina Binti Ahmad, Mominul Ahsan, Md. Abdul Based, Khalid Haruna, Julfikar Hiader, Saravanakumar Gurusamy
2021 IEEE Access  
Considering the above challenges, in this research work, a novel hybrid approach is proposed that separately combines a Content Based Filtering (CBF) recommender module and a Collaborative Filtering (CF  ...  Unlike previous CBF and CF approaches, public contextual metadata and paper-citation relationship information are effectively incorporated into these two approaches separately to enhance the recommendation  ...  Table 1 shows the selected previous studies in the domain of scholarly recommendation. A.  ... 
doi:10.1109/access.2021.3086964 fatcat:7xddttearze3xadkwf52cv753y

Real World Evaluation of Approaches to Research Paper Recommendation [article]

Siddharth Dinesh
2018 arXiv   pre-print
These are implemented on Mr. DLib a literature recommendation platform. User click data was collected as part of an ongoing experiment in collaboration with our partner Gesis.  ...  We find that a term based similarity search performs better than keyword based approaches. These results are a good starting point in finding performance improvements for related document searches.  ...  They compare their results against other graph based models such as CC-IDF, Co-citation, HITS and a purely content based method.  ... 
arXiv:1802.06892v1 fatcat:5e2jgjicxrg65ihagbxwjzvmai

Social Media Recommender Systems (SMRS): A Bibliometric Analysis Study 2000–2021

Anitha Anandhan, Maizatul Akmar Ismail, Liyana Shuib, Wan Siti Nur Aiza, Monther M. Elaish
2022 IEEE Access  
This requirement underlines the significance of a bibliometric analysis that focuses on social media based on existing publications.  ...  citation score (NCSf)-for citation analysis.  ...  Researchers may also account for advanced tag features from websites involving the probability matrix trust score, cross-domain tag similarities, and hashtags in blogs based on implicit and explicit information  ... 
doi:10.1109/access.2022.3161497 fatcat:jvfrrzqfcvedriw4npodb3qvgy

Evaluating Document Representations for Content-based Legal Literature Recommendations [article]

Malte Ostendorff, Elliott Ash, Terry Ruas, Bela Gipp, Julian Moreno-Schneider, Georg Rehm
2021 arXiv   pre-print
We evaluate text-based (e.g., fastText, Transformers), citation-based (e.g., DeepWalk, Poincar\'e), and hybrid methods.  ...  Besides the overall performance, we analyze the methods depending on document length, citation count, and the coverage of their recommendations.  ...  The research presented in this article is funded by the German Federal Ministry of Education and Research (BMBF) through the project QURATOR [42] (Unternehmen Region, Wachstumskern, no. 03WKDA1A) and  ... 
arXiv:2104.13841v1 fatcat:rfncpa7skrg7jnw3iogmkzwvae

The Impact of Artificial Intelligence on Branding

Varsha P. S., Shahriar Akter, Amit Kumar, Saikat Gochhait, Basanna Patagundi
2021 Journal of Global Information Management  
The findings also identify four clusters of citation analysis—Social Media Analysis and Brand Photos, Network Analysis and E-Commerce, Hybrid Simulating Modelling, and Real-time Knowledge-Based Systems—and  ...  A bibliometric study was conducted using co-occurrence, citation analysis and co-citation analysis. The empirical analysis investigates the value propositions of AI on branding.  ...  Hybrid Simulating Modelling 2.  ... 
doi:10.4018/jgim.20210701.oa10 fatcat:drxxb2k6ybgkflvrqr7yxp5dju

DocCit2Vec: Citation Recommendation via Embedding of Content and Structural Contexts

Yang Zhang, Qiang Ma
2020 IEEE Access  
The proposed models are compared extensively with network-based, document-based, and combined approaches in experiments of citation recommendation and classification tasks.  ...  Second, DocCit2Vec exhibited significant improvement for citation recommendation among the document-based methods.  ...  In [7] , the authors proposed recommendations based on the research objectives by analyzing the citation and co-author networks.  ... 
doi:10.1109/access.2020.3004599 fatcat:fadslbmamndtzn4hkcplgb7pki

Scientific Paper Recommendation: A Survey

Xiaomei Bai, Mengyang Wang, Ivan Lee, Zhuo Yang, Xiangjie Kong, Feng Xia
2019 IEEE Access  
Second, we review the recommendation algorithms and methods, such as Content-based, collaborative filtering, graph-based, and hybrid methods.  ...  The purpose of this survey is to provide comprehensive reviews on the scholarly paper recommendation.  ...  Moreover, cross-domain recommender systems sometimes use the random walk model.  ... 
doi:10.1109/access.2018.2890388 fatcat:mrvm3iqporbpldtkttg7d55s6y

A Collaborative Approach Toward Scientific Paper Recommendation Using Citation Context

Nazmus Sakib, Rodina Binti Ahmad, Khalid Haruna
2020 IEEE Access  
Considering the above challenges, this paper presents a collaborative filtering based recommendation approach for scientific papers that does not depend on priori user profiles and which utilizes only  ...  Several approaches have been proposed on improving recommender systems. However, most existing approaches depend on priori user profiles, and thus they cannot recommend papers to new user.  ...  The approach employs a topic cluster model and a random walk model to produce recommendations.  ... 
doi:10.1109/access.2020.2980589 fatcat:4epq3zn4mfg5pmykywco5ccwie

Scientific Paper Recommendation: A Survey [article]

Xiaomei Bai, Mengyang Wang, Ivan Lee, Zhuo Yang, Xiangjie Kong, Feng Xia
2020 arXiv   pre-print
Second, we review the recommendation algorithms and methods, such as Content-Based methods, Collaborative Filtering methods, Graph-Based methods and Hybrid methods.  ...  The purpose of this survey is to provide comprehensive reviews on scholarly paper recommendation.  ...  Moreover, cross-domain recommender systems sometimes use the random walk model.  ... 
arXiv:2008.13538v1 fatcat:sb42rd7sw5bqzk5y2ifj6wp44q
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