DecisionSciRN: Other Intelligent Decision Support Systems (Sub-Topic)最新文献

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Change Detection in Core-Periphery Networks: A Case Study on Detecting Financial Crises in the Interbank Market 核心-外围网络的变化检测:银行间市场金融危机检测的案例研究
DecisionSciRN: Other Intelligent Decision Support Systems (Sub-Topic) Pub Date : 2020-12-03 DOI: 10.2139/ssrn.3742790
Desheng Ma, Shawn Mankad
{"title":"Change Detection in Core-Periphery Networks: A Case Study on Detecting Financial Crises in the Interbank Market","authors":"Desheng Ma, Shawn Mankad","doi":"10.2139/ssrn.3742790","DOIUrl":"https://doi.org/10.2139/ssrn.3742790","url":null,"abstract":"We develop and present a new methodology to detect regime changes within a sequence of sparse networks that have overlapping and evolving community structure. The core of the methodology is a non-negative matrix factorization that maximizes a Poisson likelihood subject to a penalty that accounts for sparsity in the network. By fitting the factorization model over a rolling window with a fast numerical optimization algorithm, change detection is accomplished by statistical monitoring of the matrix factors' evolution. Using synthetic and real financial interbank lending networks, we demonstrate that the proposed methodology compares favorably with alternative techniques for on-the-go network change detection.","PeriodicalId":169230,"journal":{"name":"DecisionSciRN: Other Intelligent Decision Support Systems (Sub-Topic)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124414707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Review: Recommendation System of Indian Cuisine Recipes Using Content-Based Approach 基于内容的印度烹饪食谱推荐系统综述
DecisionSciRN: Other Intelligent Decision Support Systems (Sub-Topic) Pub Date : 2020-04-08 DOI: 10.2139/ssrn.3564623
Jignasha Dalal, Florentus Murzello, Sakshi Kadam, Siddhesh K Patade
{"title":"A Review: Recommendation System of Indian Cuisine Recipes Using Content-Based Approach","authors":"Jignasha Dalal, Florentus Murzello, Sakshi Kadam, Siddhesh K Patade","doi":"10.2139/ssrn.3564623","DOIUrl":"https://doi.org/10.2139/ssrn.3564623","url":null,"abstract":"The recommendation system has helped user’s to take quick decisions and thus gaining popularity in recent years. The Indian traditional cuisine has been extensively praised for its remarkable use of herbs and spices. The food of India is famous for its great variety of dishes. The style of cooking differs from one area to another. India is well known for its extensive diversity of fine food procurable in a wide range of eatery and hotel resorts, which recalls the unity in diversity. The proposed approach recommends Indian cuisine recipes using the content-based approach. It recommends items on the basis of the geographical areas from where the cuisines belong to and also based on the specific dish that the user likes. It also recommends items on the basis of user's geographical location.","PeriodicalId":169230,"journal":{"name":"DecisionSciRN: Other Intelligent Decision Support Systems (Sub-Topic)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116127143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Is It Beneficial to Recommend Differently Priced Products? Experimental Evidence from an Online Product Recommendation System 推荐不同价格的产品有益吗?基于在线产品推荐系统的实验证据
DecisionSciRN: Other Intelligent Decision Support Systems (Sub-Topic) Pub Date : 2019-06-21 DOI: 10.2139/ssrn.3405335
Anuj Kumar, X. Wan
{"title":"Is It Beneficial to Recommend Differently Priced Products? Experimental Evidence from an Online Product Recommendation System","authors":"Anuj Kumar, X. Wan","doi":"10.2139/ssrn.3405335","DOIUrl":"https://doi.org/10.2139/ssrn.3405335","url":null,"abstract":"Online recommendation systems recommend products with widely different prices than that of their focal products. While conventional wisdom suggests that consumers may prefer lower priced recommendations, prior literature also indicates that consumers may not accept such products if their prices fall outside the range of their reference prices. We empirically examine this question – how does recommending differently priced product affect their demand – with a field experiment on a US based fashion retailer's website. We find that recommending differently priced products decreases their purchase probability by 12.5 percent. We estimate several exacting specifications to show that our results are due to the differences in prices and not characteristics between the focal and recommended products. Based on our estimate, we simulate the demand for recommended products by replacing the lowest order differently priced recommendations for focal products with the similarly priced products. Such replacement results in 23 percent increase in the purchase probability of recommended products, which translates into a 2 percent increase in the total sales of recommended products. Overall, our study highlights that the relative price of recommended products could significantly influence their demand and therefore, it should be considered as an additional factor in design of recommendation algorithm.","PeriodicalId":169230,"journal":{"name":"DecisionSciRN: Other Intelligent Decision Support Systems (Sub-Topic)","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131117578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A/B Testing Measurement Framework for Recommendation Models Based on Expected Revenue 基于预期收益的推荐模型A/B测试度量框架
DecisionSciRN: Other Intelligent Decision Support Systems (Sub-Topic) Pub Date : 2017-03-30 DOI: 10.2139/ssrn.3402169
Meisam Hejazinia, Majid Hosseini, B. Sih
{"title":"A/B Testing Measurement Framework for Recommendation Models Based on Expected Revenue","authors":"Meisam Hejazinia, Majid Hosseini, B. Sih","doi":"10.2139/ssrn.3402169","DOIUrl":"https://doi.org/10.2139/ssrn.3402169","url":null,"abstract":"We provide a method to determine whether a new recommendation system improves the revenue per visit (RPV) compared to the status quo. We achieve our goal by splitting RPV into conversion rate and average order value (AOV). We use the two-part test suggested by Lachenbruch to determine if the data generating process in the new system is different. In cases that this test does not give us a definitive answer about the change in RPV, we propose two alternative tests to determine if RPV has changed. Both of these tests rely on the assumption that non-zero purchase values follow a log-normal distribution. We empirically validate this assumption using data collected at different points in time from this http URL. On average, our method needs a smaller sample size than other methods. Furthermore, it does not require any subjective outlier removal. Finally, it characterizes the uncertainty around RPV by providing a confidence interval.","PeriodicalId":169230,"journal":{"name":"DecisionSciRN: Other Intelligent Decision Support Systems (Sub-Topic)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114248033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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