Using machine learning to train information retrieval models — such as Internet search engines — is difficult because it requires so much manually annotated ...
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Computerized question-answering systems usually take one of two approaches. Either they do a text search and try to infer the semantic relationships between ...
What’s the organizational model within Alexa Shopping?Broadly speaking, the Alexa Shopping science organization includes two types of roles: applied ...
Predicting customers’ “contexts of use” could improve online product discovery. Source link
SIGIR, the conference of the Association for Computing Machinery’s Interest Group on Information Retrieval, begins next week. Alessandro Moschitti, a ...
Knowledge graphs are data structures consisting of entities (the nodes of the graph) and relationships between them (the edges, usually depicted as line ...
Amazon product pages include sections in which customers can both ask and answer questions, and like most community-access online forums, they’ve become ...
In the early days of purchase data analysis, a study determined that people often bought diapers and beer together. When Theodore Vasiloudis, then a ...
The annual meeting of the ACM Special Interest Group on Information Retrieval (SIGIR) begins next week, and Barbara Poblete, an Amazon Visiting Academic and ...
In an ideal world, finding a particular section of a video would be as simple as describing it in natural language — saying, for instance, “the person pours ...