Automated ontology evolution for an E-commerce recommender
نویسنده
چکیده
This research proposes an automated OWL product domain ontology (PDO) evolution by enhancing an existing ontology evolution concept. Its manual activities are eliminated by formulating an adaptation strategy for the conceptual aspects of an automated PDO evolution and establishing a feedback cycle. The adaptation strategy was validated/ firstly “instantiated” by applying it to a realworld conversational content-based e-commerce recommender as use case.
منابع مشابه
Automated Ontology Evolution as a Basis for Adaptive Interactive Systems
The research presented in this paper aims at realising an automated ontology evolution process based on feedback without a human inspection. For that, a generic adaptation strategy consisting of a feedback transformation strategy and an ontology evolution strategy is formulated. It decides when and how to evolve by evaluating the impact of the evolution in the precedent feedback cycle. These st...
متن کاملAutomated Ontology Evolution as a Basis for User- Adaptive Recommender Interfaces
This research proposes an automated OWL product domain ontology (PDO) evolution (without a human inspection) based on given user feedback and enhancing an existing ontology evolution concept. Its manual activities are eliminated by formulating an adaptation strategy for the conceptual aspects of an automated PDO evolution and establishing a feedback cycle. The adaptation strategy consists of a ...
متن کاملPhase II: Elaborate and Evaluate the Solution Feedback-Driven Ontology Evolution
Recommender systems in e-commerce applications have become business relevant in filtering the vast information available in the Internet (and e-shops) to present useful search results and product recommendations to the user. As the range of products and customer needs and preferences change – and they will change even more frequently – it is necessary to adapt the recommendation process. Doing ...
متن کاملSNAP: An Action-Based Ontology for E-commerce Reasoning
This paper presents SNAP, an e-commerce ontology developed for automated recommendation systems for the domains of banking, insurance, and telephony. This ontology is distinguished by the fact that its core concepts come from commonsense theories of action; its support of derived relations, which rely on composition of basic relations; and its close connection to a sound (with respect to first-...
متن کاملAn ontological hybrid recommender system for dealing with cold start problem
Recommender Systems ( ) are expected to suggest the accurate goods to the consumers. Cold start is the most important challenge for RSs. Recent hybrid s combine and . We introduce an ontological hybrid RS where the ontology has been employed in its part while improving the ontology structure by its part. In this paper, a new hybrid approach is proposed based on the combination of demog...
متن کامل