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- W2740808855 abstract "Objective: To improve the performance of citation recommendation, by using innovative citation recommendation methods. Methodology: By utilizing changes in the topical content of publications over time, citation graph, plus proximity-based citation contexts, I calculate the publication topical importance (prior) over time, and I use the topic prior, publication prior from author relation and Wikipedia along with the language model prioritize a number of scientific publication given their published time and user information need, i.e., a piece of working context or a publication abstract. Preliminary Experimentation and Result: In the preliminary experience, I employed the classical language model (without priors) and the language model with PageRank priors as the baseline. Preliminary experiment shows publication topic prior is important for citation recommendation given a textual information need." @default.
- W2740808855 created "2017-08-08" @default.
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- W2740808855 date "2013-01-01" @default.
- W2740808855 modified "2023-09-23" @default.
- W2740808855 title "Citation Recommendation via Time-series Scholarly Topic Analysis and Publication Prior Analysis." @default.
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