Semantic Navigation Cloud Edition
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The document discusses how semantic navigation can help improve search experiences on websites. It notes that search engines often struggle with vague keywords and must balance precision and recall. Semantic data can help drive site navigation, identify entities to use as search facets, smooth differences in categories and tags, and understand user context. Using semantic navigation can improve SEO, time spent on sites, and conversion rates. It provides an example of one company that saw a 22% increase in search usage, 25% more time spent, and greater drilling down after implementing semantic navigation technologies.
Semantic Navigation Cloud Edition
- 1. Semantic NavigationMarten den HaringEVP, Nstein Products
- 2. Website search & browse experience is brokenIt’s difficult for search engines to retrieve content with vague keywordsSearch engines must tradeoff between precision and recallIt’s hard to tune and optimize search technologyThe search experience is often anonymous and lacks contextIt’s difficult to create and maintain taxonomies to organize informationSlide 2
- 3. ≠the answer
- 4. Semantic data helpsDrive site browsing and navigation structureIdentify and extract entities to use as search facetsSmooth out differences in categories and tagsFind patterns and trends in your contentBroaden a query to include synonyms, related topicsUnderstand user context and intentSlide 4
- 6. Improves SEOImproves time spentImproves conversion rates
- 14. before…
- 15. …after
- 16. 22% increase in search usageFewer searches per unique visit25% increase in time spent Greater drilldown in search environment
- 17. $3K monthly$10K set-up1 million documents per instanceUnlimited queriesAdd-ons200GB bandwidth60GB storage*
- 18. Live in < 5 days
- 19. 19
Editor's Notes
- #8: UX delivered though themes (HTML, CSS, JS)Skins are applied to themes (look and feel, brand)Content fragments delivered by the RESTful widget server (search results, facet compilations, top documents, etc.)3rd party systems consume fragments from the widget server
- #9: Ingest content stored in virtually any format Web pages Content stored into CMS databases- PDF and MS Office files Any XML and text variationsAutomatically augment metadata with automatic semantic annotation- Store into normalized schemas- Deliver-
- #10: …in the shape of rich faceted site search…
- #11: …in the shape of rich faceted site search…
- #12: …automated topic pages…For example: Injuries in NHL
- #13: …multi-source mash-ups…In this screenshot, content comes from:Amazon product databaseUser reviews fragments via the Amazon APIThe Freebase.com APISocial content via the Twitter search APIGlobe and Mail articlesEngadget,Gizmodo and Wired articles
- #18: OTSN Cloud Edition pricing model. Add-ons include:Incident-based supportTrainingExtra indexesExtra bandwitdhExtra disk spaceCustom taxonomyIntegration services