CiteRank: combination similarity and static ranking with research paper searching

Jomsri, Pijitra; Sanguansintukul, Siripun; Choochaiwattana, Worasit

doi:10.1504/ijitst.2011.039776

Cited by 14 publications

(10 citation statements)

References 20 publications

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“…Experiment found that TTA is the best indexer. Moreover TTA index was applied for similarity ranking and combine with static ranking [4], [5], [6].…”

Section: Related Workmentioning

confidence: 99%

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A Hybrid Model Ranking Search Result for Research Paper Searching on Social Bookmarking

Jomsri¹,

Prangchumpol²

2015

Proceedings of the 1st International Conference on Industrial Networks and Intelligent Systems

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Abstract-Social bookmarking and publication sharing systems are essential tools for web resource discovery. The performance and capabilities of search results from research paper bookmarking system are vital. Many researchers use social bookmarking for searching papers related to their topics of interest. This paper proposes a combination of similarity based indexing "tag title and abstract" and static ranking to improve search results. In this particular study, the year of the published paper and type of research paper publication are combined with similarity ranking called (HybridRank). Different weighting scores are employed. The retrieval performance of these weighted combination rankings are evaluated using mean values of NDCG. The results suggest that HybridRank and similarity rank with weight 75:25 has the highest NDCG scores. From the preliminary result of experiment, the combination ranking technique provide more relevant research paper search results. Furthermore the chosen heuristic ranking can improve the efficiency of research paper searching on social bookmarking websites.

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“…Experiment found that TTA is the best indexer. Moreover TTA index was applied for similarity ranking and combine with static ranking [4], [5], [6].…”

Section: Related Workmentioning

confidence: 99%

“…Equation (6) shows the HybridRank score. In the experiment, five different weight values are chosen for the performance evaluation, where {c = 0.5, 0.75}.…”

Section: 2) Hybridrankmentioning

confidence: 99%

A Hybrid Model Ranking Search Result for Research Paper Searching on Social Bookmarking

Jomsri¹,

Prangchumpol²

2015

Proceedings of the 1st International Conference on Industrial Networks and Intelligent Systems

Self Cite

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“…Movies search. [26] have presented a ranking method for discovering and ranking social research papers. The algorithm called CSTRank is based on the combination of similarity ranking with paper posted time.…”

Section: Ranking Techniquesmentioning

confidence: 99%

“…The similarity ranking component measures the match between a query and a research paper's tag, title and abstract (TTA); while the paper posted time measures the quality of a research paper using the posted date and time. [26] used weighted score to show that the algorithm can improve the efficiency of research paper searching on social bookmarking websites. [18] have described webpages ranking approach that combines document link metrics with social relation metrics.…”

Section: Ranking Techniquesmentioning

confidence: 99%

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Towards a Social Graph Approach for Modeling Risks in Big Data and Internet of Things (IoT)

Johny

Sotiriadis

Asimakopoulou

et al. 2014

2014 International Conference on Intelligent Networking and Collaborative Systems

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The discovery and integration of big data and Internet of Things (IoTs) highlight new challenges in the area of risks. This work focuses on the analysis of literature review approaches by presenting a study that includes works for resource discovery and data integration, social search engines, ranking techniques, and social graphs in order to provide a cross comparison and a preliminary evaluation study. The approaches are analyzed in order to define theoretical key requirements that could enable the utilization of social graphs towards the discovery and modeling of interconnected entities in big data and IoT scenarios.

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Predicting rank for scientific research papers using supervised learning

Mohadab

Bouikhalene

Safi

2019

Applied Computing and Informatics

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CiteRank: combination similarity and static ranking with research paper searching

Cited by 14 publications

References 20 publications

A Hybrid Model Ranking Search Result for Research Paper Searching on Social Bookmarking

A Hybrid Model Ranking Search Result for Research Paper Searching on Social Bookmarking

Towards a Social Graph Approach for Modeling Risks in Big Data and Internet of Things (IoT)

Predicting rank for scientific research papers using supervised learning

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