'Recommendation engines' presentation slideshows

IM for the Library: How Instant Messaging Can Connect the Librarian with Kids and Teens

IM for the Library: How Instant Messaging Can Connect the Librarian with Kids and Teens. Sarah Houghton Information and Web Services Manager, San Mateo County Library Librarian in Black: http://www.librarianinblack.net. What is social software?.

512 views • 37 slides

22C:145 Artificial Intelligence

22C:145 Artificial Intelligence. Introduction to Web Mining Based on the lecture notes of Anand Rajaraman Jeff Ullman. What is Web Mining?. Discovering useful information from the World-Wide Web and its usage patterns. Web Mining v. Data Mining. Structure (or lack of it)

450 views • 32 slides

Influence and attention on Twitter

415 views • 30 slides

Recommender Systems

Recommender Systems. Presented By: Madiha Saleem Sunniya Rizvi. Collaborative Filtering. Collaborative filtering is a technique used by recommender systems to combine different users' opinions and tastes in order to achieve personalized recommendations. There are 3 approaches:

463 views • 27 slides

The future of Media Personalization

The future of Media Personalization. Agenda. Customization and personalization aspects: Place (home, mobile) Time Content Personalization/Recommendation engines Intro to media recommendation methods Media personalization in IPTV, Mobile and Web Personalization in advertisement - Targeting

356 views • 20 slides

The future of Media Personalization

The future of Media Personalization. Agenda. Customization and personalization aspects: Place (home, mobile) Time Content Personalization/Recommendation engines Intro to media recommendation methods Media personalization in IPTV, Mobile and Web Personalization in advertisement - Targeting

207 views • 20 slides

The Art and Science of Data Mining

The Art and Science of Data Mining. By Marianna Dizik, Williams-Sonoma, Inc. . What is Data Mining?. Data Mining is the process of exploration and analysis, by automatic or semi-automatic means, of large quantities of data in order to discover meaningful patterns and rules.

310 views • 12 slides

Content Recommendation Engine Market

Content Recommendation Engine Market Research Report, by Component (Solution), Filtering Approach (Collaborative Filtering, Content-Based Filtering), Organization Size (Small & Medium Enterprises, Large Enterprises), Vertical — Forecast till 2023

81 views • 7 slides

Content Recommendation Engine Market

74 views • 7 slides

Content Recommendation Engine Market

Global Content Recommendation Engine Market Research Report, by Component (Solution), Filtering Approach (Collaborative Filtering, Content-Based Filtering), Organization Size (Small & Medium Enterprises, Large Enterprises), Vertical u2014 Forecast till 2023

152 views • 7 slides

Going Behind the Scenes of Your Content Recommendation Engine

This PPT discusses the Big data and analytics testing are the fuel that keeps a content recommendation engine running for a digitally-evolving media and entertainment industry.

54 views • 5 slides

How AI can influence ecommerce business?

The rise of Artificial Intelligence (AI) cannot be overlooked. From media to telecommunication, retail, and even e-Commerce, AI is almost everywhere – revolutionizing every facet of the modern world. The truth is, AI is rapidly making its headway in e-Commerce, freeing not just time but resources too.<br><br>With the exponential growth in the e-Commerce sector, firms are exploring ways through which AI can streamline their business processes, increased brand competitiveness and improve customer service. This article aims to reflect how AI is set to influence electronic commerce with its current and future applications. Let’s understand how artificial intelligence is changing the rules of the game in online commerce.

41 views • 2 slides