Interest-based product recommendations along temporal dimension

Y. C. Liu, P. Y. Hsu, S. W. Bai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Reed drastically, people can make connections and share information with friends easier and timely. Many researchers have noticed this subtle change and devoted to recommend products through WOM (word-of-mouth) on micro-blogs. However seldom of them consider that the popular topics and interests appeared in micro-blogs are changed frequently over time since the information is spread rapidly. In this paper, a new method to recommend products based on the changing preferences of individuals is proposed. Several experiments are done to verify the evolution of personal preference changes and to compare the recommendations made by top popular subjects, other domain experts and the personal preferences. The experimental results show the proposed method can recommend products more effectively.

Original languageEnglish
Title of host publicationProceedings of the World Congress on Engineering 2013, WCE 2013
Number of pages5
StatePublished - 2013
Event2013 World Congress on Engineering, WCE 2013 - London, United Kingdom
Duration: 3 Jul 20135 Jul 2013

Publication series

NameLecture Notes in Engineering and Computer Science
Volume3 LNECS
ISSN (Print)2078-0958


Conference2013 World Congress on Engineering, WCE 2013
Country/TerritoryUnited Kingdom


  • Micro-blog
  • Product recommendation
  • Text mining


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