Recommendations for mobile applications: Facilitating commerce in google play

Hao Ting Pai, Hung Wei Lai, Shu Li Wang, Mei Fang Wu, Yung-Ting Chuang

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

Abstract

In the last decade, information and communication technologies have been highly developed. For convenience, many applications have been installed in smartphones instead of desktop computers. As a popular platform, Google Play presents thousands of mobile applications. Because there are so many dazzling applications, it is difficult for users to determine which are suitable for their needs. Many factors are likely to influence the purchase of an application, such as advertisements, word of mouth, and other media. In deciding whether to purchase an application, users probably refer to customer reviews. Indeed, users may take a significant amount of time to evaluate the legitimacy of the reviews. In this paper, we introduce a concept for recommending applications. Based on pointwise mutual information, we calculate the positive or negative score of semantic orientation in each review. We also consider subjective factors (i.e., public opinion, anonymous opinion, and star rating) and objective factors (i.e., download number and reputation).

Original languageEnglish
Title of host publicationProceedings of the International Conference on Internet of Things and Machine Learning, IML 2017
EditorsHani Hamdan, Faouzi Hidoussi, Djallel Eddine Boubiche
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450352437
DOIs
StatePublished - 17 Oct 2017
Event1st International Conference on Internet of Things and Machine Learning, IML 2017 - Liverpool, United Kingdom
Duration: 17 Oct 201718 Oct 2017

Publication series

NameACM International Conference Proceeding Series

Conference

Conference1st International Conference on Internet of Things and Machine Learning, IML 2017
CountryUnited Kingdom
CityLiverpool
Period17/10/1718/10/17

Keywords

  • Data mining
  • Opinion mining
  • Semantic orientation

Fingerprint Dive into the research topics of 'Recommendations for mobile applications: Facilitating commerce in google play'. Together they form a unique fingerprint.

Cite this