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Shopping 38 Shopping Helper 37 Product Recommender 35 Automated Pickup Personal Mobile Shopping 39 Product Selector 34 Automated Pickup e shoppers a reason to optin then focu. e-Commerce and Life Style Informatics: . Recommender Systems I. February 4 2013. Geoffrey Fox. gcf@indiana.edu. . . http://. www.infomall.org/X-InformaticsSpring2013/index.html. . Associate Dean for Research and Graduate Studies,  School of Informatics and Computing. Evaluating Recommender Systems. A myriad of techniques has been proposed, . but. Which one is the best in a given application domain?. What are the success factors of different techniques?. Comparative analysis based on an optimality criterion? . Agenda. Online consumer decision making. Introduction. Context effects. Primacy/. recency. effects. Further effects. Personality and social psychology. Discussion and . summary. Literature. Introduction. (. Confining the Wily Hacker. ). Ian Goldberg, David Wagner, Randi Thomas, and Eric Brewer. Computer Science Division. University of California, Berkeley. Presented . by:. Tahani . Albalawi. talbala1@kent.edu. Danielle Lee . April 20, 2011. Three basic recommendations . Collaborative Filtering. : exploiting other likely-minded community data to derive recommendations. Effective, Novel and Serendipitous recommendations . Dr. Frank McCown. Intro to Web Science. Harding University. This work is licensed under Creative . Commons . Attribution-. NonCommercial. . 3.0. Image: . http://lifehacker.com/5642050/five-best-movie-recommendation-services. Gabriel Vargas Carmona. 22.06.12. Agenda. Introduction. General Overview. Recommender. . system. Evaluation. RMSE & MAE. Recall . and. . precision. Long-. tail. Netflix. . and. . Movielens. Collaborative . (. Confining the Wily Hacker. ). Ian Goldberg, David Wagner, Randi Thomas, and Eric Brewer. Computer Science Division. University of California, Berkeley. Presented . by:. Tahani . Albalawi. talbala1@kent.edu. By . Dishant Soni. Shopping Centers. Group of retail and other commercial establishments that are planned, developed, owned, and managed as a single property. Advantages of Shopping Malls. Many types of stores within one location. Counselling . Department. Faculty of Cognitive Sciences . & Human . Development. Universiti Malaysia Sarawak. Fatahyah Yahya. KMC 1083: Basic Helping . Skills. What is HELPING?. What is HELPER?. What is HELPEEE?. 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. 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. Internet Shopping in Korea Kristen O’Brien Why should I bother shopping on the internet in Korea? It’s cheaper than in stores. Shipping is usually 1-2 days You can get coupons (even for just registering) Performance of Recommender Algorithms on Top-N Recommendation Tasks Gabriel Vargas Carmona 22.06.12 Agenda Introduction General Overview Recommender system Evaluation RMSE & MAE Recall and precision