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RECSYS
2015
ACM
7 years 11 months ago
Risk-Hedged Venture Capital Investment Recommendation
With the increasing accessibility of transactional data in venture finance, venture capital firms (VCs) face great challenges in developing quantitative tools to identify new in...
Xiaoxue Zhao, Weinan Zhang, Jun Wang 0012
RECSYS
2015
ACM
7 years 11 months ago
Style Recommendation for Fashion Items using Heterogeneous Information Network
In the midst of vast amounts of available fashion items, consumers today require more efficient recommendation services. A system that sorts out items that form a stylish ensemble...
Hanbit Lee, Sang-Goo Lee
RECSYS
2015
ACM
7 years 11 months ago
A Personalised Reader for Crowd Curated Content
Personalised news recommender systems traditionally rely on content ingested from a select set of publishers and ask users to indicate their interests from a predefined list of t...
Gabriella Kazai, Daoud Clarke, Iskander Yusof, Mat...
RECSYS
2015
ACM
7 years 11 months ago
Exploiting Geo-Spatial Preference for Personalized Expert Recommendation
Experts are important for providing reliable and authoritative information and opinion, as well as for improving online reviews and services. While considerable previous research ...
Haokai Lu, James Caverlee
RECSYS
2015
ACM
7 years 11 months ago
Recommender Systems for Product Bundling
Recommender systems (RSs) enhance e-commerce sales by recommending relevant products to their customers. RSs aim at implementing the firm's web-based marketing strategy to in...
Moran Beladev, Bracha Shapira, Lior Rokach
RECSYS
2015
ACM
7 years 11 months ago
Personality-Based Recommendations: Evidence from Amazon.com
In this paper, we evaluate the accuracy of personality-based recommendations using a real-world data set from Amazon.com. We automatically infer the personality traits, needs, and...
Panagiotis Adamopoulos, Vilma Todri
RECSYS
2015
ACM
7 years 11 months ago
The Recommendation Game: Using a Game-with-a-Purpose to Generate Recommendation Data
This paper describes a casual Facebook game to capture recommendation data as a side-effect of gameplay. We show how this data can be used to make successful recommendations as p...
Sam Banks, Rachael Rafter, Barry Smyth
RECSYS
2015
ACM
7 years 11 months ago
The Continuous Cold-start Problem in e-Commerce Recommender Systems
Many e-commerce websites use recommender systems to recommend items to users. When a user or item is new, the system may fail because not enough information is available on this u...
Lucas Bernardi, Jaap Kamps, Julia Kiseleva, Melani...
RECSYS
2015
ACM
7 years 11 months ago
Image Discovery and Insertion for Custom Publishing
:  Image Discovery and Insertion for Custom Publishing Lei Liu, Jerry Liu, Shanchan Wu HP Laboratories HPL-2015-78 Image Recommendation; Custom Publishing Images in reading mate...
Lei Liu, Jerry Liu, Shanchan Wu
RECSYS
2015
ACM
7 years 11 months ago
Letting Users Choose Recommender Algorithms: An Experimental Study
Recommender systems are not one-size-fits-all; different algorithms and data sources have different strengths, making them a better or worse fit for different users and use cases....
Michael D. Ekstrand, Daniel Kluver, F. Maxwell Har...