Preference Driven Entity Search EngineKavita Ganesan & ChengXiang Zhai

www.findilike.com

What is findilike?

A novel search engine: Finds & ranks entities by user preferences Structured preferences Unstructured opinion preferencesE.g. Hotel search Structured: price [$0-$100], distance [5 miles from campus] Unstructured: “friendly service”, “clean”, “good views”

Beyond search: Support for analysis of entities Opinion summaries Tag cloud visualization Browse review space

findilike vs. Product Search?

Query Topic keywords“dell laptop”

Set of preferencesprice, distance, opinions…

Ranking Keyword match Mixed ranking strategyBased on preferences

Analysis Limited/No tools Opinion analysis toolsTag cloud, summaries

Filters Filter by common attributes

Preferences act as filters

findilikeProduct Search

How does findilike rank entities?

“clean”, “safe” $30-$60, Within 5 miles of..Structured prefsOpinion prefs

Query

Review BrowsingReview Tag CloudsOpinion Summaries

Results

Opinion Tools

Combined Entity Scoring

Results Summarization

Query Parsing

Opinon Expansion

Entity Scoring

Entity Scoring

Opinion Repository Structured Data

Query Parsing

Ranking Engine

Opinion Matching Structured Matching

Current Status: findilike works in hotels domain

Search for hotels based on Opinions, Distance, Price Analyze hotels

Review summaries Tag cloud visualization of reviews Browse review space

Book hotels from known providers Hotels.com Hotelscombined.com

Access to more information about hotels Hotels.com Google Places

Finding “clean” hotels in Los Angeles close to “Universal Studios”

price prefopinion prefs

location desired opinions

distance prefresults

Finding “clean” hotels in Los Angeles close to “Universal Studios” - Interface

selected distance “5 miles from universal…”

preferred opinion “clean hotel”

preferred city “los angeles”

matching hotels

Finding “clean” hotels in Los Angeles close to “Universal Studios” - Interface

Finding “clean” hotels in Los Angeles close to “Universal Studios” - Results (List View)

Finding “clean” hotels in Los Angeles close to “Universal Studios” - Results (Map View)

Finding “clean” hotels in Los Angeles close to “Universal Studios” - Results (List View)

Results are ranked based on how well the preferences are matched

Finding “clean” hotels in Los Angeles close to “Universal Studios” - Results (List View)

YourMatch: Score of how well preferences are matched [1-5]

2nd Best Match

Best Match

Finding “clean” hotels in Los Angeles close to “Universal Studios” - Results (List View)

Fine Grained Match Info

Summary

Summary

Finding “clean” hotels in Los Angeles close to “Universal Studios” - Results (List View)

Scoring: How well this hotel ranks in relation to other hotels in Los Angeles with respect to “clean hotel”

Scoring: Is this hotel within the selected distance limit?

Finding “clean” hotels in Los Angeles close to “Universal Studios” - Results (List View)

Rank 1Opinion score: 4Distance score: 5

Rank 2Opinion score: 4Distance score: 4 (exceeds selected distance by 1 mile)

Finding “clean” hotels in Los Angeles close to “Universal Studios” - Analysis Tools

What’s Buzzing: Tag cloud of reviewsPeople Think: Opinion Summaries

Click on selected opinions:Browse review space

Finding “clean” hotels in Los Angeles close to “Universal Studios” - Analysis Tools

Tag cloudsweighted by frequency

Related snippets (“convenient location”)

Finding “clean” hotels in Los Angeles close to “Universal Studios” - Analysis Tools

Opinion summariesreadable, well-formed

Related snippets

Finding “clean” hotels in Los Angeles close to “Universal Studios” - Analysis Tools

Browse reviews related to“parking”

Go to findilikewww.findilike.com

Relevant Publications:

Ganesan, Kavita A., and Zhai ChengXiang , Opinion-Based Entity Ranking, Information Retrieval, Volume 15, Issue 2, (2012)

Ganesan, Kavita A., Zhai ChengXiang, and Han Jiawei , Opinosis: A Graph Based Approach to Abstractive Summarization of Highly Redundant Opinions , Proceedings of the 23rd International Conference on Computational Linguistics (COLING '10), (2010)

Ganesan, Kavita A., Zhai ChengXiang, and Viegas Evelyne , Micropinion Generation: An Unsupervised Approach to Generating Ultra-Concise Summaries of Opinions, Proceedings of the 21st International Conference on World Wide Web 2012 (WWW '12), (2012)