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2. Justification of Recommender Systems Results: A Service-based Approach

Author

Mauro, Noemi, Hu, Zhongli Filippo, and Ardissono, Liliana

Subjects
Computer Science - Information Retrieval, Computer Science - Artificial Intelligence, Computer Science - Human-Computer Interaction
Abstract

With the increasing demand for predictable and accountable Artificial Intelligence, the ability to explain or justify recommender systems results by specifying how items are suggested, or why they are relevant, has become a primary goal. However, current models do not explicitly represent the services and actors that the user might encounter during the overall interaction with an item, from its selection to its usage. Thus, they cannot assess their impact on the user's experience. To address this issue, we propose a novel justification approach that uses service models to (i) extract experience data from reviews concerning all the stages of interaction with items, at different granularity levels, and (ii) organize the justification of recommendations around those stages. In a user study, we compared our approach with baselines reflecting the state of the art in the justification of recommender systems results. The participants evaluated the Perceived User Awareness Support provided by our service-based justification models higher than the one offered by the baselines. Moreover, our models received higher Interface Adequacy and Satisfaction evaluations by users having different levels of Curiosity or low Need for Cognition (NfC). Differently, high NfC participants preferred a direct inspection of item reviews. These findings encourage the adoption of service models to justify recommender systems results but suggest the investigation of personalization strategies to suit diverse interaction needs.

Published
2022
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6. Multi-faceted Trust-based Collaborative Filtering

Author

Mauro, Noemi, Ardissono, Liliana, and Hu, Zhongli Filippo

Subjects
Computer Science - Information Retrieval, Computer Science - Machine Learning
Abstract

Many collaborative recommender systems leverage social correlation theories to improve suggestion performance. However, they focus on explicit relations between users and they leave out other types of information that can contribute to determine users' global reputation; e.g., public recognition of reviewers' quality. We are interested in understanding if and when these additional types of feedback improve Top-N recommendation. For this purpose, we propose a multi-faceted trust model to integrate local trust, represented by social links, with various types of global trust evidence provided by social networks. We aim at identifying general classes of data in order to make our model applicable to different case studies. Then, we test the model by applying it to a variant of User-to-User Collaborative filtering (U2UCF) which supports the fusion of rating similarity, local trust derived from social relations, and multi-faceted reputation for rating prediction. We test our model on two datasets: the Yelp one publishes generic friend relations between users but provides different types of trust feedback, including user profile endorsements. The LibraryThing dataset offers fewer types of feedback but it provides more selective friend relations aimed at content sharing. The results of our experiments show that, on the Yelp dataset, our model outperforms both U2UCF and state-of-the-art trust-based recommenders that only use rating similarity and social relations. Differently, in the LibraryThing dataset, the combination of social relations and rating similarity achieves the best results. The lesson we learn is that multi-faceted trust can be a valuable type of information for recommendation. However, before using it in an application domain, an analysis of the type and amount of available trust evidence has to be done to assess its real impact on recommendation performance.

Published
2020
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20. High embryogenic ability and regeneration from floral axis of Amorphophallus konjac (Araceae)

Author

Zhong Lin, Liu Erxi, Yang Chaozhu, Jin Surong, Diao Ying, and Hu Zhongli

Subjects
amorphophallus konjac, embryogenic callus, high reproduction rate, in vitro production, tissue culture, Biology (General), QH301-705.5
Abstract

Amorphophallus konjac (Araceae) a perennial herb, it has high medicinal and industrial value. In this study, a simple and efficient system for direct somatic embryogenesis and plantlet regeneration of Amorphophallus konjac was developed. The floral axis was used as the experimental material. The primary callus, developed from the floral axis grown on Murashige and Skoog (MS) medium supplemented with different hormone combination at different concentrations. The highest rate of embryogenic callus formation was observed on the MS medium containing 9.04 µM 2, 4-dichlorophenoxyacetic acid (2, 4-D) and 5.37 µM naphthalene acetic acid (NAA). The maximum induction rate was 79.8%, and the embryogenic calli were able to subculture on a medium containing similar hormone combination for over 1 year. The calli were also placed on different media for regeneration and it produced complete plants with shoots and root systems simultaneously. The highest differentiation rate of the embryogenic calli grown on differentiation medium supplemented with 8.88 µM 6-benzylaminopurine (6-BA) and 5.37 µM NAA was 95.6%. Flow cytometry analysis showed no ploidy variation in all the regenerate plantlets.

Published
2017
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31. Dynamic monitoring of minimal residual disease in newly‐diagnosed multiple myeloma

Author

Yang, Peiyu, primary, Xu, Weiling, additional, Liang, Xinyue, additional, Yu, Shanshan, additional, Yi, Xingcheng, additional, Liu, Mengmeng, additional, Tian, Mengru, additional, Yue, Tingting, additional, Zhang, Yingjie, additional, Yan, Yurong, additional, Hu, Zhongli, additional, Guo, Qiang, additional, Zhang, Nan, additional, Wang, Jingxuan, additional, Sun, Xiaoxiao, additional, Hu, Rui, additional, Kumar, Shaji K., additional, Dai, Yun, additional, and Jin, Fengyan, additional

Published
2022
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32. A Simple Risk-Scoring Model for Estimating the Prognostic Impact of 1q Gain in Patients with Newly-Diagnosed Multiple Myeloma

Author

Jin, Fengyan, primary, Yang, Peiyu, additional, Chen, Haimin, additional, Liang, Xinyue, additional, Xu, Weiling, additional, Yu, Shanshan, additional, Huang, Wenyang, additional, Yi, Xingchen, additional, Guo, Qiang, additional, Tian, Mengru, additional, Yue, Tingting, additional, Li, Mengyao, additional, Zhang, Yingjie, additional, Zhang, Mengxue, additional, Yan, Yurong, additional, Hu, Zhongli, additional, Kumar, Shaji K, additional, Zhou, Fan, additional, and Dai, Yun, additional

Published
2022
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34. Proposed risk‐scoring model for estimating the prognostic impact of 1q gain in patients with newly diagnosed multiple myeloma

Author

Yang, Peiyu, primary, Chen, Haimin, additional, Liang, Xinyue, additional, Xu, Weiling, additional, Yu, Shanshan, additional, Huang, Wenyang, additional, Yi, Xingcheng, additional, Guo, Qiang, additional, Tian, Mengru, additional, Yue, Tingting, additional, Li, Mengyao, additional, Zhang, Yingjie, additional, Zhang, Mengxue, additional, Yan, Yurong, additional, Hu, Zhongli, additional, Kumar, Shaji K., additional, Zhou, Fan, additional, Dai, Yun, additional, and Jin, Fengyan, additional

Published
2022
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36. Selection and Evaluation of Reference Genes for RT-qPCR Analysis in Amorphophallus Konjac Based on Transcriptome Data.

Author

Liu, Yanli, Zhang, Chengcheng, Harijati, Nunung, Diao, Ying, Liu, Erxi, and Hu, Zhongli

Subjects
KONJAK, AMORPHOPHALLUS, GENE expression, RIBOSOMAL RNA, GENES, MOLECULAR biology
Abstract

Combined with the Konjac transcriptome database of our laboratory and internal reference genes commonly used in plants, the eight candidate internal reference genes were screened and detected. They are the 25S ribosomal RNA gene (25S rRNA), 18S ribosomal RNA gene (18S rRNA), actin gene (ACT), glyceraldehyde-3-phosphate dehydrogenase gene (GAPDH), ubiquitin gene (UBQ), β-tubulin gene (β-TUB), eukaryotic elongation factor 1-αgene(eEF-1α), and eukaryotic translation initiation factor 4α-1 gene (eIF-4α). The results of GeNorm, Normfinder, and BestKeeper were analyzed comprehensively. The data showed that the expression levels of 25S rRNA, 18S rRNA, and ACT at the reproductive periods, eEF-1α and eIF-4α at the nutritional periods, and eEF-1α, UBQ, and ACT at different leaf developmental periods were stable. These identified and stable internal reference genes will provide the basis for the subsequent molecular biology-related studies of Konjac. [ABSTRACT FROM AUTHOR]

Published
2023
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47. In vitro plant regeneration of lotus (Nelumbo nucifera)

Author

Yu Xia, Sheng Jiajing, Zhao Lingling, Diao Ying, Zheng Xingwen, Xie Keqiang, Zhou Mingquan, and Hu Zhongli

Subjects
Shoot apical meristem, Multiple shoot clumps induction, Root induction, Plant regeneration, Biology (General), QH301-705.5
Abstract

In this study, an efficient and reproducible plant regeneration system for lotus (Nelumbo nucifera Gaertn.) was established using shoot apical meristems from the buds and one-week-old aseptically germinated embryos as explants. Multiple shoot clumps were induced on Murashige and Skoog (MS) basal medium supplemented with various combinations of N6-Benzylaminopurine (6-BA) and α-Naphthalene acetic acid (NAA). The maximum response was obtained with 2.22 μM 6-BA, and produced 21.33 shoots per explant after four weeks. After five subcultures, multiple shoot clumps were transferred to MS basal medium supplemented with various combinations of 3-Indolebutyric acid (IBA), NAA and sucrose for root induction. After four weeks, plantlets with well-developed roots were achieved on MS basal medium supplemented with 0.54 μM NAA and 30 g/L sucrose with 100% rooting rate. The successfully acclimated plantlets were transferred to pots with the addition of 2 g/L KMnO4 into the soils, and finally fertile plants with much bigger leaves were obtained in the greenhouse. The survival rate was 97.33%.

Published
2015
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