Mining User Interests through Internet Review Forum for Building Recommendation System

Omar Abdillah, Mirna Adriani

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

5 Citations (Scopus)

Abstract

Research on recommendation system is now getting a lot of attention due to the rapid growth of user generated contents, especially internet review forums. They easily share about their experiences towards some products and services on the review forums. As a result, review forums are overwhelmed with the amount valuable information for predicting user interests. In our work, we present a method to develop a recommendation system leveraging the information mined from review forums. Our method automatically determines user interests by learning from user reviews. Furthermore, we propose the notion of 'considered aspects' as the form of user interests, which serve as key information why users are interested in consuming a specific product or service. Several state-of-the-art methods, such as Latent Dirichlet Allocation (LDA), are employed to extract those 'considered aspects'. Finally, we show that our recommendation system significantly outperforms the baseline system. It is also worth noting that our proposed method is completely unsupervised, domain-independent, and language-independent.

Original languageEnglish
Title of host publicationProceedings - IEEE 29th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2015
EditorsJong Hyuk Park, Fatos Xhafa, Makoto Takizawa, Leonard Barolli, Tomoya Enokido
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages564-569
Number of pages6
ISBN (Electronic)9781479917747
DOIs
Publication statusPublished - 1 Jan 2015
Event29th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2015 - Gwangju, Korea, Republic of
Duration: 25 Mar 201527 Mar 2015

Publication series

NameProceedings - IEEE 29th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2015

Conference

Conference29th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2015
Country/TerritoryKorea, Republic of
CityGwangju
Period25/03/1527/03/15

Keywords

  • latent dirichlet allocation
  • recommendation system
  • user interest
  • user profiling

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