RECSYS
2015
ACM
8 years 7 months ago
2015
ACM
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...
RECSYS
2015
ACM
8 years 7 months ago
2015
ACM
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...
RECSYS
2015
ACM
8 years 7 months ago
2015
ACM
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...
RECSYS
2015
ACM
8 years 7 months ago
2015
ACM
Experts are important for providing reliable and authoritative information and opinion, as well as for improving online reviews and services. While considerable previous research ...
RECSYS
2015
ACM
8 years 7 months ago
2015
ACM
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...
RECSYS
2015
ACM
8 years 7 months ago
2015
ACM
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...
RECSYS
2015
ACM
8 years 7 months ago
2015
ACM
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...
RECSYS
2015
ACM
8 years 7 months ago
2015
ACM
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...
RECSYS
2015
ACM
8 years 7 months ago
2015
ACM
: 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...
RECSYS
2015
ACM
8 years 7 months ago
2015
ACM
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....