Demystifying big data analytics for business intelligence through the lens of marketing mix
Big data analytics have been embraced as a disruptive technology that will reshape
business intelligence, which is a domain that relies on data analytics to gain business …
business intelligence, which is a domain that relies on data analytics to gain business …
Recommender systems—beyond matrix completion
Recommender systems â•fl beyond matrix completion Page 1 94 COMMUNICATIONS OF THE
ACM | NOVEMBER 2016 | VOL. 59 | NO. 11 review articles THE USE OF recommender systems …
ACM | NOVEMBER 2016 | VOL. 59 | NO. 11 review articles THE USE OF recommender systems …
Heterogeneous information network embedding for recommendation
Due to the flexibility in modelling data heterogeneity, heterogeneous information network
(HIN) has been adopted to characterize complex and heterogeneous auxiliary data in …
(HIN) has been adopted to characterize complex and heterogeneous auxiliary data in …
Measuring the business value of recommender systems
Recommender Systems are nowadays successfully used by all major web sites—from e-
commerce to social media—to filter content and make suggestions in a personalized way …
commerce to social media—to filter content and make suggestions in a personalized way …
[CITAZIONE][C] Recommender Systems: An Introduction
D Jannach - 2010 - books.google.com
In this age of information overload, people use a variety of strategies to make choices about
what to buy, how to spend their leisure time, and even whom to date. Recommender …
what to buy, how to spend their leisure time, and even whom to date. Recommender …
Knowledge graph-based recommendation framework identifies drivers of resistance in EGFR mutant non-small cell lung cancer
Resistance to EGFR inhibitors (EGFRi) presents a major obstacle in treating non-small cell
lung cancer (NSCLC). One of the most exciting new ways to find potential resistance …
lung cancer (NSCLC). One of the most exciting new ways to find potential resistance …
When does retargeting work? Information specificity in online advertising
Firms can now offer personalized recommendations to consumers who return to their
website, using consumers' previous browsing history on that website. In addition, online …
website, using consumers' previous browsing history on that website. In addition, online …
How should I explain? A comparison of different explanation types for recommender systems
Recommender systems help users locate possible items of interest more quickly by filtering
and ranking them in a personalized way. Some of these systems provide the end user not …
and ranking them in a personalized way. Some of these systems provide the end user not …
What recommenders recommend: an analysis of recommendation biases and possible countermeasures
Most real-world recommender systems are deployed in a commercial context or designed to
represent a value-adding service, eg, on shop** or Social Web platforms, and typical …
represent a value-adding service, eg, on shop** or Social Web platforms, and typical …
Recommendation quality, transparency, and website quality for trust-building in recommendation agents
Trust is a main success factor for automated recommendation agents on e-commerce sites.
Various aspects can contribute to the development of trust toward such an agent, including …
Various aspects can contribute to the development of trust toward such an agent, including …