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» Using Temporal Data for Making Recommendations
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CSREAEEE
2006
175views Business» more  CSREAEEE 2006»
13 years 6 months ago
A Time-Based Recommender System Using Implicit Feedback
- Recommender systems provide personalized recommendations on products or services to customers. Collaborative filtering is a widely used method of providing recommendations based ...
Tong-Queue Lee, Young Park
ESEM
2008
ACM
13 years 7 months ago
Defect categorization: making use of a decade of widely varying historical data
This paper describes our experience in aggregating a number of historical datasets containing inspection defect data using different categorization schemes. Our goal was to make u...
Carolyn B. Seaman, Forrest Shull, Myrna Regardie, ...
ACISICIS
2010
IEEE
13 years 6 months ago
Temporal Dynamics in Music Listening Behavior: A Case Study of Online Music Service
Abstract--Although temporal context may significantly affect the popularity of items and user preference over items, traditional information filtering techniques such as recommende...
Chan Ho Park, Minsuk Kahng
TVCG
2012
225views Hardware» more  TVCG 2012»
11 years 7 months ago
Evaluating the Role of Time in Investigative Analysis of Document Collections
—Time is a universal and essential aspect of data in any investigative analysis. It helps analysts establish causality, build storylines from evidence, and reject infeasible hypo...
Bum chul Kwon, Waqas Javed, Sohaib Ghani, Niklas E...
I3E
2008
234views Business» more  I3E 2008»
13 years 6 months ago
Development of Recommender Systems Using User Preference Tendencies: An Algorithm for Diversifying Recommendation
Abstract. Many e-commerce sites use a recommendation system to filter the specific information that a user wants out of an overload of information. Currently, the usefulness of the...
Yuki Ogawa, Hirohiko Suwa, Hitoshi Yamamoto, Isamu...