This paper also proposes a Facet Classification Algorithm to evaluate the faceted interface. In order to demonstrate these ideas and better understand personalized faceted search, several faceted search algorithms are proposed and evaluated using the novel evaluation methodology. | ISSN: 2249-5789 Aaluri Seenu et al, International Journal of Computer Science & Communication Networks,Vol 8(5),50-55 Efficient and Customized Facets base Ordering for Product Search Engine M. Uma Devi M. Tech, Department of CSE, Shri Vishnu Engineering College for Women (A), Vishnupur, Bhimavaram, West Godavari District, Andhra Pradesh. Abstract- Faceted search is becoming a popular method to allow users to interactively search and navigate complex information spaces. A faceted search system presents users with key value metadata that is used for query refinement. While popular in e-commerce and digital libraries, not much research has been conducted on which metadata to present to a user in order to improve the search experience. Nor are there repeatable benchmarks for evaluating a Efficient and Customized Facets base Ordering for Product Search Engine. This paper proposes the use of Efficient and Customized Facets base ordering to customize the Faceted Interface to each user’s behavior. This paper also proposes a Facet Classification Algorithm to evaluate the faceted interface. In order to demonstrate these ideas and better understand personalized faceted search, several faceted search algorithms are proposed and evaluated using the novel evaluation methodology. Keywords: faceted search, interactive search, user modeling, personalization, evaluation, Classification. IJCSCN | October-November 2018 Available online@ AALURI SEENU (), Associate Professor, Department of CSE, Shri Vishnu Engineering College for Women (A), Vishnupur, Bhimavaram, West Godavari District, Andhra Pradesh. 1. Introduction Categories are sets that group related items and assign them a label. As such, categories are many times one of the main navigational aids in information systems. Often the first item users interact with, categories are useful in Web and search interfaces to divide content and narrow down the search space. A possible solution would be to use .
