PPT-Knowledge-based recommendation

Author : natalia-silvester | Published Date : 2016-05-20

Basic IO Relationship Knowledgebased Tell me what fits based on my needs Why do we need knowledgebased recommendation Products with low number of available ratings

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Knowledge-based recommendation: Transcript

Basic IO Relationship Knowledgebased Tell me what fits based on my needs Why do we need knowledgebased recommendation Products with low number of available ratings Time span plays an important role. Derek . Gossi. CS 765. Fall 2014. The Big Problem. How do we make better music recommendations?. . The Big Problem. How do we make better music recommendations?. . Personalized recommendations. Anonymous recommendations based on similarity. 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. 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. Danielle Lee . April 20, 2011. Three basic recommendations . Collaborative Filtering. : exploiting other likely-minded community data to derive recommendations. Effective, Novel and Serendipitous recommendations . 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. (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. Kinan Halloum . 1. Presented paper. 2. Deep content-based music recommendation . by van den Oord et al. NIPS 2013. Outline. Music Recommendation. Collaborative filtering. Weighted Matrix Factorization. Evaluation. Tokenization and properties of text . Web crawling. Query models. Vector methods. Measures of similarity. Indexing. Inverted files. Basics of internet and web. Spam and SEO. Search engine design. Basic I/O Relationship. Knowledge-based: "Tell me what fits based on my needs". Why do we need knowledge-based recommendation?. Products with low number of available ratings. Time span plays an important role. 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. Evaluation. Tokenization and properties of text . Web crawling. Query models. Vector methods. Measures of similarity. Indexing. Inverted files. Basics of internet and web. Spam and SEO. Search engine design. 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. Clinical Practice Guidelines: The Diagnosis, Management, and Prevention of Bronchiolitis. Margaret Thew. Guideline . application. The bronchiolitis guideline is intended for children from 1-23 months.

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