vix.ing · top · new · best · stats · spec

RelEmb: A relevance-based application embedding for Mobile App retrieval\n and categorization

2019/04/14 by Ahsaas Bajaj, Bajaj, Ahsaas, Shubham Krishna +7
Computer Science · Decision Sciences · Physics and Astronomy · #Complex Network Analysis Techniques #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Personal Information Management and User Behavior #Recommender Systems and Techniques #Web Data Mining and Analysis

paper · pdf · doi:10.48550/arxiv.1904.06672

openalex publication_date 2019/04/14 · openalex created_date 2022/07/29 · openalex updated_date 2026/07/28

Abstract

Information Retrieval Systems have revolutionized the organization and\nextraction of Information. In recent years, mobile applications (apps) have\nbecome primary tools of collecting and disseminating information. However,\nlimited research is available on how to retrieve and organize mobile apps on\nusers' devices. In this paper, authors propose a novel method to estimate\napp-embeddings which are then applied to tasks like app clustering,\nclassification, and retrieval. Usage of app-embedding for query expansion,\nnearest neighbor analysis enables unique and interesting use cases to enhance\nend-user experience with mobile apps.\n

Citations

Related