Existing work on leveraging opinionated content has been focused on generating structured summaries of opinions to help users better digest all the opinions. Unfortunately, in many decision making scenarios, ranging from what product to purchase to which doctor to consult for a particular ailment, the choices are often a plenty and summaries alone will not suffice in helping users reach their decision.
We propose a different way of leveraging opinions, that is to combine the power of search technologies with opinion analysis and mining tools to provide a unified decision making platform. We call this synergistic platform an Opinion-Driven Decision Support System (ODSS) - a system that enables users to find and analyze entities of interest (e.g. products, people and businesses) based on the opinions of other web users. Our research encompasses (1) Searching capabilities based on opinions, (2) Different forms of opinion analysis tools, (3) Opinionated data collection and (4) Presentation of results.
FindiLike is preference driven search engine that enables users to find entities based on personal preferences. These preferences can be a combination of unstructured information such as preferences for opinions or structured ones such as price, distance and so on depending on the domain. Currently it provides support for hotel search.
The opinion preferences can be expressed as a set of natural keywords such as 'close to universal studios', 'safe location', 'good breakfast', etc.
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