User-Specific Feature-Based Similarity Models for Top-n Recommendation of New Items
Recommending new items for suitable users is an important yet challenging problem due to
the lack of preference history for the new items. Noncollaborative user modeling techniques …
the lack of preference history for the new items. Noncollaborative user modeling techniques …
Content‐boosted matrix factorization techniques for recommender systems
J Nguyen, M Zhu - Statistical Analysis and Data Mining: The …, 2013 - Wiley Online Library
Many businesses are using recommender systems for marketing outreach.
Recommendation algorithms can be either based on content or driven by collaborative …
Recommendation algorithms can be either based on content or driven by collaborative …
A live comparison of methods for personalized article recommendation at Forbes. com
We present the results of a multi-phase study to optimize strategies for generating
personalized article recommendations at the Forbes. com web site. In the first phase we …
personalized article recommendations at the Forbes. com web site. In the first phase we …
Enriching user experience in online health communities through thread recommendations and heterogeneous information network mining
Online health communities (OHCs) provide health consumers with platforms for discussing
medical conditions and sharing a personal experience. Although a wealth of healthcare …
medical conditions and sharing a personal experience. Although a wealth of healthcare …
Peek: A large dataset of learner engagement with educational videos
Educational recommenders have received much less attention in comparison to e-
commerce and entertainment-related recommenders, even though efficient intelligent tutors …
commerce and entertainment-related recommenders, even though efficient intelligent tutors …
Pushing the boundaries of crowd-enabled databases with query-driven schema expansion
By incorporating human workers into the query execution process crowd-enabled databases
facilitate intelligent, social capabilities like completing missing data at query time or …
facilitate intelligent, social capabilities like completing missing data at query time or …
Exploiting wikipedia for information retrieval tasks
Wikipedia-the online encyclopedia-has long been used as a source of information for
researchers, as well as being a subject of research itself. Wikipedia has been shown to be …
researchers, as well as being a subject of research itself. Wikipedia has been shown to be …
User identification for enhancing IP-TV recommendation
Abstract Internet Protocol Television (IP-TV) recommendation systems are designed to
provide programs for groups of people, such as a family or a dormitory. Previous methods …
provide programs for groups of people, such as a family or a dormitory. Previous methods …
User identification within a shared account: Improving IP-TV recommender performance
Multiple users share a common account in Internet Protocol Television (IP-TV) services. Can
such shared accounts be identified solely on the basis of logs recorded by set top boxes …
such shared accounts be identified solely on the basis of logs recorded by set top boxes …
An item/user representation for recommender systems based on bloom filters
This paper focuses on the items/users representation in the domain of recommender
systems. These systems compute similarities between items (and/or users) to recommend …
systems. These systems compute similarities between items (and/or users) to recommend …