RE-RecSys: An End-to-End system for recommending properties in Real-Estate domain-Reference-Cited by-同舟云学术

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RE-RecSys: An End-to-End system for recommending properties in Real-Estate domain

Published:2024-01-04 Issue: Volume: Page:558-562
ISSN:
Container-title:Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD)
language:
Short-container-title:

Author:

C Venkatesh¹^ORCID,Oberoi Harshit¹^ORCID,Goyal Anil¹^ORCID,Sikka Nikhil¹^ORCID

Affiliation:

1. Technology (Data Science Team), Housing.com, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3632410.3632487

Reference9 articles.

1. Jesús Bobadilla, Fernando Ortega, Antonio Hernando, and Abraham Gutiérrez. 2013. Recommender systems survey. Knowledge-based systems 46 (2013), 109–132.

2. Predictive Approach for User Long-Term Needs in Content-Based Image Suggestion

3. A Survey of Collaborative Filtering-Based Recommender Systems: From Traditional Methods to Hybrid Methods Based on Social Networks

4. Learning Global Term Weights for Content-based Recommender Systems

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