Search Result Aggregation Approaches for Multi-Source Content

Scrawlr is a platform for unconstrained, global interaction with all internet content and users. Scrawlr allows for user evaluation and unconstrained classification of any Scrawlr-hosted or non-Scrawlr content. For non-Scrawlr content, this evaluation and classification allowance will be first at the URL level but will subsequently be provided at the individual content component level.

The research conducted in this project will focus on designing, building, and studying novel search interfaces that effectively aggregate and present results retrieved from multiple data sources to satisfy searcher intent.

Faculty Supervisor:

Orland Hoeber

Student:

Partner:

Scrawlr Development Inc.

Discipline:

Computer science

Sector:

Information and Communications Technology

University:

University of Regina

Program: