Toward a Context-Aware Serendipitous Recommendation System

Changhun Lee, Gyumin Lee, Chiehyeon Lim

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

Abstract

Recommendation system development has been an important domain in the industrial and academic fields for the past two decades. Recently, the importance of developing a context-aware serendipitous recommendation system has emerged. As such, we investigate the latent features of items that may be recognized by the users of such a system. We assume that users will move from one item to another through the latent features reflected in the sequence of items. Our work specifically focuses on the process of predicting the sequential and changing taste of users. We show the existence of latent features by presenting a topic map and suggest a context-aware serendipitous recommendation system.

Original languageEnglish
Title of host publicationAdvances in Service Science - Proceedings of the 2018 INFORMS International Conference on Service Science
EditorsHui Yang, Robin Qiu
PublisherSpringer Science and Business Media B.V.
Pages161-168
Number of pages8
ISBN (Print)9783030047252
DOIs
StatePublished - 2019
EventINFORMS International Conference on Service Science, ICSS 2018 - Phoenix, United States
Duration: 3 Nov 20183 Nov 2018

Publication series

NameSpringer Proceedings in Business and Economics
ISSN (Print)2198-7246
ISSN (Electronic)2198-7254

Conference

ConferenceINFORMS International Conference on Service Science, ICSS 2018
Country/TerritoryUnited States
CityPhoenix
Period3/11/183/11/18

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