Sciweavers

RECSYS
2015
ACM
8 years 3 months ago
An Adaptive Electronic Menu System for Restaurants
This work shows the early stages of the development of a collaborative-filtering-inspired adaptive system to streamline the ordering process at restaurants that use electronic me...
Paulo Henrique Azevedo Filho, Wolfgang Wörndl
RECSYS
2015
ACM
8 years 3 months ago
3rd International Workshop on News Recommendation and Analytics (INRA 2015)
The 3rd International Workshop on News Recommendation and Analytics (INRA 2015) is held in conjunction with RecSys 2015 Conference in Vienna, Austria. This paper presents a brief ...
Jon Atle Gulla, Bei Yu, Özlem Özgöb...
RECSYS
2015
ACM
8 years 3 months ago
Recommendation with the Right Slice: Speeding Up Collaborative Filtering with Factorization Machines
We propose an alternative way to efficiently exploit rating data for collaborative filtering with Factorization Machines (FMs). Our approach partitions user-item matrix into ‘...
Babak Loni, Martha Larson, Alexandros Karatzoglou,...
RECSYS
2015
ACM
8 years 3 months ago
Adaptation and Evaluation of Recommendations for Short-term Shopping Goals
An essential characteristic in many e-commerce settings is that website visitors can have very specific short-term shopping goals when they browse the site. Relying solely on lon...
Dietmar Jannach, Lukas Lerche, Michael Jugovac
RECSYS
2015
ACM
8 years 3 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
8 years 3 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
8 years 3 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
8 years 3 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
8 years 3 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
8 years 3 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