{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T10:23:12Z","timestamp":1763202192408,"version":"3.28.0"},"reference-count":24,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,8]]},"DOI":"10.1109\/asonam.2018.8508269","type":"proceedings-article","created":{"date-parts":[[2018,10,25]],"date-time":"2018-10-25T19:19:29Z","timestamp":1540495169000},"page":"1057-1064","source":"Crossref","is-referenced-by-count":23,"title":["Artificial Intelligence for Conversational Robo-Advisor"],"prefix":"10.1109","author":[{"given":"Min-Yuh","family":"Day","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jian-Ting","family":"Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuan-Chih","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1016\/B978-075068321-0.50003-0","article-title":"A step-by-step guide to the Black-Litterman model: Incorporating user-specified confidence levels","author":"idzorek","year":"2007","journal-title":"Forecasting Expected Returns in the Financial Markets"},{"key":"ref12","article-title":"Robo-advice-a true innovation in asset management","author":"kaya","year":"2017","journal-title":"Deutsche Bank Research"},{"key":"ref13","article-title":"Who is afraid of non-convex loss functions","author":"lecun","year":"2007","journal-title":"NIPS Work on Efficient Machine Learning"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2017.01.005"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.2307\/2975974"},{"key":"ref17","volume":"27","author":"mc carthy","year":"1955","journal-title":"A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/BF02478259"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1080\/07421222.1990.11517898"},{"journal-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling","year":"2014","author":"chung","key":"ref4"},{"journal-title":"On the properties of neural machine translation Encoder-decoder approaches","year":"2014","author":"cho","key":"ref3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.frl.2018.03.006"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/WIECON-ECE.2016.8009118"},{"journal-title":"On stock return prediction with LSTM networks","year":"2017","author":"hansson","key":"ref8"},{"journal-title":"Generating sentences by editing prototypes","year":"2017","author":"guu","key":"ref7"},{"key":"ref2","article-title":"Asset allocation: combining investor views with market equilibrium","author":"black","year":"1990","journal-title":"Discussion paper Goldman Sachs & Co"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/s150715799"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1126\/science.1127647","article-title":"Reducing the dimensionality of data with neural networks","volume":"313","author":"hinton","year":"2006","journal-title":"Science"},{"key":"ref20","article-title":"Learning Internal Representation by Backpropagation","volume":"1","author":"rumelhart","year":"1986","journal-title":"Parallel Distributed Processing Exploration in the Microstructure of Cognition"},{"key":"ref22","first-page":"3104","article-title":"Sequence to sequence learning with neural networks","author":"sutskever","year":"2014","journal-title":"Advances in neural information processing systems"},{"journal-title":"Artificial Intelligence A Modern Approach","year":"2016","author":"russell","key":"ref21"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1162\/08997660260293319"},{"key":"ref23","first-page":"26","article-title":"Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude","volume":"4","author":"tieleman","year":"2012","journal-title":"COURSERA Neural Networks for Machine Learning"}],"event":{"name":"2018 IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","start":{"date-parts":[[2018,8,28]]},"location":"Barcelona","end":{"date-parts":[[2018,8,31]]}},"container-title":["2018 IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8488381\/8508239\/08508269.pdf?arnumber=8508269","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T15:47:27Z","timestamp":1643212047000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8508269\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,8]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/asonam.2018.8508269","relation":{},"subject":[],"published":{"date-parts":[[2018,8]]}}}