2. What is FindiLike Hotel Search?
A novel search engine: Finds & ranks entities by user
preferences
Structured preferences
Unstructured opinion preferences
E.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
3. FindiLike Hotel search vs. Product Search?
Query
Topic keywords
“dell laptop”
Set of preferences
price, distance, opinions…
Ranking Keyword match
Mixed ranking strategy
Based on preferences
Analysis Limited/No tools
Opinion analysis tools
Tag cloud, summaries
Filters
Filter by common
attributes
Preferences act as
filters
findilikeProduct Search
4. How does FindiLike rank entities?
“clean”, “safe” $30-$60, Within 5 miles of..
Structured prefsOpinion prefs
Query
Review Browsing
Review Tag Clouds
Opinion 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
5. FindiLike Hotel Search Features
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
7. price prefopinion prefs
location desired opinions
distance pref
results
Finding “clean” hotels in Los Angeles close to
“Universal Studios” - Interface
8. 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
11. Finding “clean” hotels in Los Angeles close to
“Universal Studios” - Results (List View)
Results are ranked based on how well the
preferences are matched
12. 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
13. Finding “clean” hotels in Los Angeles close to
“Universal Studios” - Results (List View)
Fine Grained Match Info
Summary
Summary
14. 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?
15. Finding “clean” hotels in Los Angeles close to
“Universal Studios” - Results (List View)
Rank 1
Opinion score: 4
Distance score: 5
Rank 2
Opinion score: 4
Distance score: 4 (exceeds
selected distance by 1 mile)
16. Finding “clean” hotels in Los Angeles close to
“Universal Studios” - Analysis Tools
What’s Buzzing:
Tag cloud of reviews
People Think:
Opinion Summaries
Click on selected opinions:
Browse review space
17. Finding “clean” hotels in Los Angeles close to
“Universal Studios” - Analysis Tools
Tag clouds
weighted by frequency
Related snippets
(“convenient location”)
18. Finding “clean” hotels in Los Angeles close to
“Universal Studios” - Analysis Tools
Opinion summaries
readable, well-formed
Related snippets
19. Finding “clean” hotels in Los Angeles close to
“Universal Studios” - Analysis Tools
Browse reviews related to
“parking”
20. Thank you!
Contact:
Kavita Ganesan
Email: kganes@findilike.com
Personal web: kavita-ganesan.com
Partnership requests/licensing: info@findilike.com
www.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)