59 research outputs found

    Modeling Orders of User Behaviors via Differentiable Sorting: A Multi-task Framework to Predicting User Post-click Conversion

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    User post-click conversion prediction is of high interest to researchers and developers. Recent studies employ multi-task learning to tackle the selection bias and data sparsity problem, two severe challenges in post-click behavior prediction, by incorporating click data. However, prior works mainly focused on pointwise learning and the orders of labels (i.e., click and post-click) are not well explored, which naturally poses a listwise learning problem. Inspired by recent advances on differentiable sorting, in this paper, we propose a novel multi-task framework that leverages orders of user behaviors to predict user post-click conversion in an end-to-end approach. Specifically, we define an aggregation operator to combine predicted outputs of different tasks to a unified score, then we use the computed scores to model the label relations via differentiable sorting. Extensive experiments on public and industrial datasets show the superiority of our proposed model against competitive baselines.Comment: The paper is accepted as a short research paper by SIGIR 202

    Associations of sugar-sweetened beverages intake frequency with physical growth and glucolipid metabolism among children and adolescents

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    BackgroundChildren and adolescents drink sugar-sweetened beverages (SSBs) frequently. Research has confirmed that SSBs associate with weight gain and overweight or obesity. However, it is unclear whether high SSBs intake associates with abnormal changes in physical growth and glucolipid metabolism before causing adverse health outcomes such as overweight and obesity. Early identification of associated health risks of overconsumption of SSBs have important public health implications. ObjectiveTo investigate the differences in physical growth and glucolipid metabolism between different SSBs intake frequency groups in normal weight children and adolescents aged 6-17 years, and to evaluate the early effects of SSBs intake on physical growth and glycolipid metabolism before causing overweight and obesity, aiming to provide a scientific basis for the prevention and control of childhood overweight and obesity and related chronic diseases, and for the formulation of policies on the control of SSBs consumption. MethodsData were from the Shanghai Diet and Health Survey (SDHS) among primary and secondary school students. The participants were normal weight children and adolescents aged 6-17 years. Propensity scores were calculated according to energy intake and physical activity factors, after stratifying by age and gender. Participants were 1:1 matched with the closest propensity scores in the high-frequency (ā‰„1 timeĀ·dāˆ’1) and the low-frequency (ā‰¤1 timeĀ·weekāˆ’1) SSBs intake groups. The outcome indicators were physical measurements such as height, weight, percent of body fat, and waist circumference, and metabolic indicators such as fasting blood glucose, total triglycerides, total cholesterol, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol. Body mass index (BMI) was calculated. Food frequency questionnaire was used to collect SSBs consumption in the past three months through face-to-face interview. A paired t-test was used to compare the differences in physical and glycolipid metabolic indicators between the high-frequency intake group and the low-frequency intake group of SSBs. ResultsA total of 431 pairs were obtained. For children and adolescents in grades 6-9, overall height (difference=2.92 cm, P=0.002), weight (difference=2.53 kg, P=0.003), and waist circumference (difference=1.34 cm, P=0.035) were higher in those who consumed SSBs ā‰„1 timeĀ·dāˆ’1 than in those who consumed ā‰¤1 timeĀ·weekāˆ’1. For children and adolescents in grades 10-12, overall weight (difference=2.27 kg, P=0.041) was higher in those who consumed SSBs ā‰„1 timeĀ·dāˆ’1 than in those who consumed ā‰¤1 timeĀ·weekāˆ’1. Over 95% of the study subjects reported blood glucose and lipid test results within the normal range; but girls in grades 1-5 who consumed SSBs ā‰„1 timeĀ·dāˆ’1 had a higher total cholesterol (difference=0.20 mmolĀ·Lāˆ’1, P=0.027) and low-density lipoprotein cholesterol (difference=0.19 mmolĀ·Lāˆ’1, P=0.010) than those who consumed ā‰¤1 timeĀ·weekāˆ’1; boys in grades 6-9 who consumed SSBs ā‰„1 timeĀ·dāˆ’1 had a lower high-density lipoprotein cholesterol (difference=-0.10 mmolĀ·Lāˆ’1, P=0.039) than those who consumed ā‰¤1 timeĀ·weekāˆ’1. ConclusionHigh-frequency intake of SSBs may be associated with higher total cholesterol and low-density lipoprotein cholesterol in normal weight children and adolescents in grades 1-5, and higher weight in normal weight children and adolescents in grades 6-12. There is an urgent need to educate children and adolescents about nutritional health, enhance their ability to make healthy food and beverage choices, and take early interventions to control the intake of SSBs in children

    SoccerNet 2023 Challenges Results

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    peer reviewedThe SoccerNet 2023 challenges were the third annual video understanding challenges organized by the SoccerNet team. For this third edition, the challenges were composed of seven vision-based tasks split into three main themes. The first theme, broadcast video understanding, is composed of three high-level tasks related to describing events occurring in the video broadcasts: (1) action spotting, focusing on retrieving all timestamps related to global actions in soccer, (2) ball action spotting, focusing on retrieving all timestamps related to the soccer ball change of state, and (3) dense video captioning, focusing on describing the broadcast with natural language and anchored timestamps. The second theme, field understanding, relates to the single task of (4) camera calibration, focusing on retrieving the intrinsic and extrinsic camera parameters from images. The third and last theme, player understanding, is composed of three low-level tasks related to extracting information about the players: (5) re-identification, focusing on retrieving the same players across multiple views, (6) multiple object tracking, focusing on tracking players and the ball through unedited video streams, and (7) jersey number recognition, focusing on recognizing the jersey number of players from tracklets. Compared to the previous editions of the SoccerNet challenges, tasks (2-3-7) are novel, including new annotations and data, task (4) was enhanced with more data and annotations, and task (6) now focuses on end-to-end approaches. More information on the tasks, challenges, and leaderboards are available on https://www.soccer-net.org. Baselines and development kits can be found on https://github.com/SoccerNet

    Memeopoly: An AI-Powered Physical Board Game Interface for Tangible Play and Learning Art and Design

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    The Impact Of Population Movement On Social Security Participation: äŗŗå£ęµåŠØåƹē¤¾ä¼šäæéšœå‚äøŽēš„影响

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    The 2015 China Comprehensive Social Survey data (CGSS) was used to compare the differences between floating population and unfloating population, rural-urban floating population and urban floating population, and the propensity score matching method (PSM) was used to estimate the impact of mobility and different types of mobility on their social security participation. The study found that mobility has a negative impact on social security participation is significant. Compared with the unmobile people, the probability of migrant people participating in social security is lower, with a decrease of about 9%; the probability of participation in social security is lower than that of urban-urban floating population, with a decrease of about 12%

    Social Security Participation Behavior and Socio - Economic Equity Perceptions of the Mobile Population: An Examination of the Differences between ā€œRural - Urbanā€ and ā€œUrban - Urbanā€ Group: ē¤¾ä¼šäæéšœå‚äæč”ŒäøŗäøŽęµåŠØäŗŗ口ēš„ē¤¾ä¼šē»ęµŽå…¬å¹³ę„ŸēŸ„ā€”ā€”åŸŗäŗŽā€œä¹”城ā€äøŽā€œåŸŽåŸŽā€ē¾¤ä½“差异ēš„č€ƒåƟ

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    In the context of accelerated new urbanization, it is particularly important to re-examine equity. Based on functional theory and social cognitive theory, this paper uses the 2015 China General Social Survey (CGSS) data to analyze the impact of social security participation on the mobile populationā€™s perception of socio-economic equity using the propensity score matching method, and further explores its impact mechanism. The study found that social security participation can effectively improve the mobile populationā€™s perception of socio-economic equity by about 14%. Among them, the increase in the perception of socio-economic equity was greater for the rural-urban mobile population, at about 22%; however, the test results for the urban-urban mobile population failed to be significant. At the same time, institutional evaluation plays a mediating role in the impact of social security participation on the socio-economic equity perceptions of the mobile population. In general and the rural-urban mobile population. In this regard, the government needs to pay due attention to the function of social security in promoting social equity, improve the mobile populationā€™s sense of socio-economic equity and reasonably guide the movement of the population between rural-urban and urban-urban areas

    Research on the Integrated Development Strategy of Railway Tourism in Sichuan Province Considering the Accessibility of High-speed Rail and Tourist Attraction

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    In response to targeted poverty alleviation, traffic + tourism and other national strategies, exploring the integration development direction of High-speed Railway and tourism in Sichuan Province, this article combed the railway tourism basic conditions of Sichuan Province, used mathematical statistics and kernel density estimation to study the spatial distribution of tourist resources and High-speed Railway. Based on urban nodes, the minimum travel time between nodes, the urban power, tourism resources and other elements, constructed travel accessibility time measurement model and attractive model, and used ArcGIS to compute the accessibility value of High-speed Railway and the coefficient of tourist attraction. Finally, for the regions with different tourism resource quality and the accessibility of High-speed Rail in Sichuan, based on the calculation results, the problem of rail tourism and the national policy, the High-speed Railway tourism plans and development strategies are proposed respectively
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