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Enterprise & Intranet Search How Enterprise is different from Web search What to think about when evaluating Enterprise Search How Intranet use is different from Web use - And what that means for search
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Intranet Differences Intranet = content inside the organization Learning from content, not for commerce Smaller content collections - Smaller content subjects - Smaller number of possible tasks or queries More document types than the Web (supports) Filtering could be more applicable Taxonomies may be present (& understandable) - Work groups, locations, departments, projects Content managed in some way (culture or policy) Is the goal to discover tacit knowledge?
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Differences in Intranet use Bandwidth - Wireless too Security - Financial work, Access policies New technology - Mobile, high-resolution displays, … Legal - Regulation (Sarbanes Oxley) - Privacy Cultural - Adoption - Revolution
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One week of corporate search What are the patterns of search in a corporation? - Big company 70K - 740K documents 80% HTML, ~15% PDF - Ultraseek engine 11-15 minute search sessions Small drop in Friday searching 71% of the 5644 users only active on one work-week day User sessions - 1.2 w 2.47 activities = infrequent - 3.03 w 9.7 activities/day = frequent What interfaces & tools could increase use? - Is increased searching a net good for knowledge workers?
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Is Enterprise IR different? Application Design - Webify – Front Ends - Web Services - Application Service Providing - (More) Database Integration (Even More) Integration Issues - Content (CMS and Politics) - Quality & Quantity Existing Design Guidelines More Specific Users - One corporation - The accounting department More Definable Goals - Dictated by management - Interaction with (all?) potential users Must Use - Use Data - Feedback for Verification
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Enterprise Search Centralized & Measurable - More Return on Investment Work tasks Easier to develop than Web-wide search Clarified - Consistent - Accurate Simplified Technology Platform - More Open to Information Sharing - IA Structures Help Define Organization (Goals) Extendable IA System
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Intranet Search & Info Extraction Building a system specifically for knowledge workers, vertical markets & types of users Do you think intranet search is different? IT workers spend 15-35% of work time searching for information We need more than relevance as a measure of specific tasks - Question Answering: specific answers, not keyword matching - Categorizing user needs By user? Department? Job? Task? Satisficing results vs. the right answers
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Information Desk Tasks - Term definitions - Homepages for (internal) groups or topics - Experts - Employee contact (personal) info Categorization of need - Query text itself - Resulting documents - Selected documents Developed a hierarchy
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Catergories of Search Needs
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Analysis of Search Needs Query logs - Information & navigational needs - Home pages & Relevance (content) Survey - How to’s & Downloads - Technologies, products, services, groups, projects, people More in-depth analysis possible (logs, more questionnaire surveys) How different are these needs from Web search?
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Challenges in Enterprise Search Google (Web) is the worst enemy of Enterprise search Content complexity: dbms, non-linked docs, email, CMS content, access levels, servers/locations Ranking becomes more difficult with different document types, metadata, systems Do we need Enterprise Metasearch? - Enterprise, Federated, Web content ++ ? - Corporate Web site, intranet, email, company directory, forms, templates, reports…
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Key IR research for Enterprises Defining an appropriate enterprise search test collection Effective ranking over heterogeneous collections that a characteristic of enterprise environments Portals for knowledge workers (intranet & internet?) Email search PageRank, relevance measures for internal documents Understanding search context Future considerations for linked, internal media Multimedia* Web 2.0 features & document types* Crawling & updating strategies*
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Solutions to Enterprise IR Designing linking mechanisms - Based on use or (user generated) metadata - Derive metadata & evaluate automation (e.g. email) Navigation in intranets (saves searching) APIs & open access Part of records management activities Intense focus on user evaluation & development cycles
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Final Projects & Papers Use class readings for prove your points Be daring with your ideas & state why you think they’re right or interesting Cite any non-obvious facts Proof read you writing Be conscious of writing style & grammar Use APA or ACM style guidelines This should be a good contribution to your portfolio of graduate work.
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