Place aware content selection
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This document discusses a recommender system for selecting place-aware and relevant content from the internet to display on public displays. The system uses keywords provided by the place owner to search online sources and recommend related content. Two studies evaluated the effectiveness of using keywords to find relevant user-generated content for public displays and found that keywords worked well but needed additional contextual information. The document also discusses challenges in generating user profiles and content selection for shared public displays with no user input.
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![Place-aware content selection from dynamic web sources for public displays 2009 Fifth International Conference on Signal Image Technology and Internet Based Systems Fernando Reinaldo Ribeiro Informatics Department Polytechnic Institute of Castelo Branco 6000-767 Castelo Branco, Portugal fribeiro@est.ipcb.pt Rui José Information Systems Department University of Minho 4800 Guimarães, Portugal [email_address] Jehangir khan MS WISE Group UOP.](https://image.slidesharecdn.com/place-awarecontentselection-110205044142-phpapp01/85/Place-aware-content-selection-1-320.jpg)
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IRJET- Hybrid Recommendation System for Movies
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Six Principles of Software Design to Empower Scientists
Keynote talk for Workshop on Managing for Usability:
Challenges and Opportunities for E-Science Project Management, 10-11 April 2008,
OeRC, University of Oxford, UK
IRJET-Smart Tourism Recommender System
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Service Rating Prediction by check-in and check-out behavior of user and POI
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OGD new generation infrastructures evaluation based on value models
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PATHS state of the art monitoring report
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Smashing SIlos: UX is the New SEO
This presentation hopes to illuminate how Search, Content Strategy, Information Architecture, User Experience, Interaction Design can break down silos to take back relevance. Because, in the end, we, the people, should be the arbiters of experience, not machines and certainly not math.
4 newmain doc
The document discusses privacy-preserving location query protocols (PLQP). It proposes a novel PLQP that allows fine-grained location query and access control on encrypted location information. The protocol allows different levels of location query for different users based on access policies defined by the location publisher, such as revealing the city a user is in to friends or exact distance between two users who attended the same university. This achieves privacy preservation while providing location-based utility.
Machine learning based recommender system for e-commerce
Nowadays, e-commerce is becoming an essential part of business for many reasons, including the simplicity, availability, richness and diversity of products and services, flexibility of payment methods and the convenience of shopping remotely without losing time. These benefits have greatly optimized the lives of users, especially with the technological development of mobile devices and the availability of the Internet anytime and anywhere. Because of their direct impact on the revenue of e-commerce companies, recommender systems are considered a must in this field. Recommender systems detect items that match the customer's needs based on the customer's previous actions and make them appear in an interesting way. Such a customized experience helps to increase customer engagement and purchase rates as the suggested items are tailored to the customer's interests. Therefore, perfecting recommendation systems that allow for more personalized and accurate item recommendations is a major challenge in the e-marketing world. In our study, we succeeded in developing an algorithm to suggest personal recommendations to customers using association rules via the Frequent-Pattern-Growth algorithm. Our technique generated good results with a high average probability of purchasing the next product suggested by the recommendation system.
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Open Data Infrastructures Evaluation Framework using Value Modelling
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
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Place aware content selection
- 1. Place-aware content selection from dynamic web sources for public displays 2009 Fifth International Conference on Signal Image Technology and Internet Based Systems Fernando Reinaldo Ribeiro Informatics Department Polytechnic Institute of Castelo Branco 6000-767 Castelo Branco, Portugal fribeiro@est.ipcb.pt Rui José Information Systems Department University of Minho 4800 Guimarães, Portugal [email_address] Jehangir khan MS WISE Group UOP.