Contextual Suggestion
Abstract
The goal of this project is to build a Contextual Suggestion system that will recommend the user a ranked list of suggestions depending on user's context as well as her preferences. In this context we present an algorithm based on the regular expression for extracting time and address information from different websites for the places. Then we have suggested a ranking function that can utilize these timing and address information of those places as well as the users' context and preferences to rank the places. Here the pages are unstructured but the address is structured i.e. template based as we have worked with only the places located at Toronto, Canada.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 16, 2012
- Accession Number
- ADA579490
Entities
People
- Abhishek Mallik
- Kripabandhu Ghosh
- Mandar Mitra
Organizations
- Indian Institute of Technology Bombay