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Citation recommendation is an interesting and significant research area as it solves the information overload in academia by automatically suggesting relevant references for a research paper. Recently, with the rapid proliferation of information technology, research papers are rapidly published in various conferences and journals. This makes citation recommendation a highly important and challenging discipline. In this paper, we propose a novel citation recommendation method that uses only easily obtained citation relations as source data. The rationale underlying this method is that, if two citing papers are significantly co-occurring with the same citing paper(s), they should be similar to some extent. Based on the above rationale, an association mining technique is employed to obtain the paper representation of each citing paper from the citation context. Then, these paper representations are pairwise compared to compute similarities between the citing papers for collaborative filtering. We evaluate our proposed method through two relevant real-world data sets. Our experimental results demonstrate that the proposed method significantly outperforms the baseline method in terms of precision, recall, and F1, as well as mean average precision and mean reciprocal rank, which are metrics related to the rank information in the recommendation list.

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Introduction: Adequate dietary intake is critical for modification of eating behavior and provides nutrients required for growth particularly among adolescents. The evidence revealed the variation and unrelated data on the prevalence of dietary diversity among adolescent girls in Ethiopia. Objective: To assess the magnitude of dietary diversity and associated factors among high school adolescent girls at the selected school of Yeka Sub-city, Addis Ababa, Ethiopia 2021. Methods: A cross-sectional study was conducted in high schools of the Yeka sub-city. Self-administered questionnaires were used to collect data. Data were analyzed using SPSS and the characteristics of the study participants were reported using descriptive statistics. A logistic regression model was fitted to identify factors associated with dietary diversity. Result: The mean score of dietary diversity was 4.9 ± 1.47 with a response rate of 97.2% among a proposed number of participants. The dietary diversity score is high in 56.7% and low among 43.3% of adolescents. Stayed a long time on social media (adjusted odds ratio = 2.6), school type (adjusted odds ratio = 6.5), educational status of mother (adjusted odds ratio = 8.7), consuming more sweet food (adjusted odds ratio = 3.6), occupation of the mother (adjusted odds ratio = 2.3), household security (adjusted odds ratio = 2.3), and fear of obese/worried about shape (adjusted odds ratio = 5.0) were statistically associated with low dietary diversity score. Conclusion: The finding of the study revealed that the magnitude of low dietary diversity among adolescent girls was found to be high. Long time social media usage, school type, educational status of the mother, consuming more sweet food, occupation of mother, household food security, and fear of obese/worried about shape were statistically associated with dietary diversity score.

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