PPT-Content-based Music Recommendation Using Hierarchical Dirichlet Process

Author : jideborn | Published Date : 2020-07-01

Xiaoqian Liu May 2 2015 1 When the music is over turn out the lights The Doors When the Musics Over 2 Whats the mainstream 3 Top Artists on The Hot 100 Billboard

Presentation Embed Code

Download Presentation

Download Presentation The PPT/PDF document "Content-based Music Recommendation Using..." is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

Content-based Music Recommendation Using Hierarchical Dirichlet Process: Transcript

Xiaoqian Liu May 2 2015 1 When the music is over turn out the lights The Doors When the Musics Over 2 Whats the mainstream 3 Top Artists on The Hot 100 Billboard Charts Archive. Tugba . Koc Emrah Cem Oznur Ozkasap. Department of . Computer . Engineering, . Koç . University. , Rumeli . Feneri Yolu, Sariyer, Istanbul . 34450 Turkey. Introduction. Epidemic (gossip-based) principles: highly popular in large scale distributed systems. Hybrid recommender systems. Hybrid: combinations of various inputs and/or composition of different mechanism. Knowledge-based: "Tell me what fits based on my needs". Content-based: "Show me more of the same what I've liked. Content-based recommendation. While CF – methods do not require any information about the items,. it might be reasonable to exploit such information; and. recommend fantasy novels to people who liked fantasy novels in the past. Preparation. 08. th. December, 2015 . QIPA 2015, HRI, Allahabad,. India. Chitra . Shukla. JSPS . Postdoctoral Research . Fellow . Graduate . School of Information Science Nagoya University, JAPAN. ManetS. Adeela Huma. 02/02/2017. Introduction - MANETs. MANETs- Mobile ad hoc networks . lacks infrastructure and . central . authority to . establish and . facilitate communication . in the . network. -. Xiaoqian. Liu. May 2, 2015. 1. When the music is over, turn out the lights.. - . The Doors, “When the Music’s Over”. 2. What’s the mainstream. 3. Top Artists on “The Hot 100, Billboard Charts Archive”. t. opical analysis on presidential. documents. By: Chetan Mishra and Sugandha Agrawal. Why should we make this tool?. How did the focus of Bush and Clinton administrations change over time?. How would we find this out without the tool…. (SIGIR2010). IBM Research Lab. Ido. . Guy,Naama. . Zwerdling. Inbal. . Ronen,David. . Carmel,Erel. . Uziel. Social Networks and Discovery(. SaND. ). Direct entity-entity relations. Recommendation Algorithm. Elise Everett, M.D.. Julie Lahiri, M.D.. Christa Zehle, M.D.. Workshop objectives:. 1. Participants . will understand the . purpose and importance . of . Letters of Recommendation (LORs) . in . the . S. OCIAL. N. ETWORKS. Modified from . R. . . Zafarani. , M. A. . Abbasi. , and H. Liu, . Social Networks . Mining: An Introduction. , Cambridge University Press, 2014. . Difficulties of Decision Making. IN. P2P OSN. By . Keerthi Nelaturu. Challenges with current Social Networks. Personal data left with Service Provider even when Social graph is . removed. Control of the User-generated content with Service Provider . Produces a set of . nested clusters . organized as a hierarchical tree. Can be visualized as a . dendrogram. A tree-like diagram that records the sequences of merges or splits. Strengths of Hierarchical Clustering. Introduction to Data Mining, 2. nd. Edition. by. Tan, Steinbach, Karpatne, Kumar. Two Types of Clustering. Hierarchical. Partitional algorithms:. Construct various partitions and then evaluate them by some criterion. Recommendation . in . ECommerce. Amey. . Sane. CMSC-601. May 11. th. . 2011. Use of Agents in . E. Commerce. . Product Search/Identification (. eg. “. Eyes” by . amazon. ). Information Brokering.

Download Document

Here is the link to download the presentation.
"Content-based Music Recommendation Using Hierarchical Dirichlet Process"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.