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Business-Consumer
     Networks
  Concept and Challenges



 Yury Lifshits
 Caltech
 http://yury.name


     SISL Seminar, February 1, 2008


                                      1 / 32
Project Objectives




   Goal: to design a web technology that
   serves as a universal environment for
   business-consumer communication
   Outputs: paper, community, prototype
   Time constraints: March 1, 2008 — May
   31, 2008
                                           2 / 32
Informal Idea


Business-Consumer Networks:

   Nodes: businesses, consumers

   Edges: loyalty relations




                                  3 / 32
Outline

1   Vision

2   Functionalities for Business Web

3   Research Challenges

4   Conclusions



                                       4 / 32
1
Vision
7 Principles For Business Web




                                5 / 32
1. Separate Business from Private

   Home and office

   Private cell phone and business cell phone

   Private email and business email

   Facebook and ???




                                            6 / 32
1. Separate Business from Private

   Home and office

   Private cell phone and business cell phone

   Private email and business email

   Facebook and ???


Focus on business-side of the Web:
   Web2.0 technology for every business

   Avoid non-commercial features
                                            6 / 32
2. Business Identity

   Serving as a reference point

   Accumulating reputation

   Active: sending messages, organizing
   events

   Interactive: answering questions,
   communication instead of ads

   Loyalty program conductor, endpoint for
   b2c relations

                                             7 / 32
3. One Network for All

   Open data portability: reusing
   accumulated social data

   Convertibility for reputations

   Simplifying registrations

   Merging business-centered communities

   All reviews in a single place!


                                           8 / 32
4. Open Business Data

  New generation is willing to share: give
  them tools for publishing business-related
  information

  Social design and reputation system
  should motivate openness

  Open RDF-based standard for business
  data

  Programming access to core data for third
  parties

                                           9 / 32
5. Using Artificial Artificial Intelligence
For demand/offer matching:
    Demand extraction: wishlists, “My troubles”, “Help
    me to choose”, “Give me a recommendation”
    On-line consulting: putting human layer for
    demand/offer matching
    Supporting decision making




                                                    10 / 32
5. Using Artificial Artificial Intelligence
For demand/offer matching:
    Demand extraction: wishlists, “My troubles”, “Help
    me to choose”, “Give me a recommendation”
    On-line consulting: putting human layer for
    demand/offer matching
    Supporting decision making

For demand generation:
    “I am bored”
    Surfing business web
    Human-delivered interactive ads (?)
                                                    10 / 32
6. Global Algorithms


   Social search

   Query-free search

   Recommendations

   Computational marketing




                             11 / 32
7. Reputation-Based Economy


  The more reputable you are the cheaper is
  advertising

  Irrelevant ads are punished, relevant ones
  are rewarded

  Focus on viral ads, grassroots support and
  evangelism



                                          12 / 32
2
Functionalities for Business Web




                               13 / 32
Customer Profile
  Info: age, location, billing info, interests, my
  business-roles
  Facts: I have, I use, I bought, I visit, my discounts
  Friends, friend-businesses
  Contributions: blog, reviews, recommendations,
  anti-recommendations
  Demand: wishlist, my troubles, job demand
  Offers: I sell, freelance, handmade
  Free-space, place for widgets, wall/guestbook
  Reputations: rewards/loyalty statuses, karma,
  credit history, profile completeness, activity score,
  online status
                                                          14 / 32
Business Profile
   Company info: logo, address, business hours,
   contact data, driving directions, teams, activities,
   employees and their roles, free text, keywords,
   industry category
   Products, special offers, services, menu, playbill,
   bestsellers, prices, sales, associated events,
   corporate blog
   FAQ, question answering
   Ads collection: texts, banners, audio, video, viral
   ads,promo-widgets
   Business-friends (related businesses)
   Reputation, votes up, profile completeness,
   product ratings
                                                         15 / 32
Other entities

   Fan-spaces: wall/guestbook, reviews, fan list,
   critics, discussions, feature requests, fan-wiki
   Products, listings: description, offers, discussion,
   reviews
   Events
   Topic-specific portals: mashup, original
   content/functions
   Rewards networks



                                                          16 / 32
Consumer Query-Driven Activities


   General keyword search

   Product search, event search,
   parameterized business search

   Local business search

   Post request, express demand, ask
   question, request recommendation

   Compare, make choices, decide


                                       17 / 32
Query-Free Activities

   “I am bored” button
   Suggest engine: interests, businesses, news,
   products, events
   News/updates: (digg-style) voted news, news from
   friends, news from friend-businesses
   Tops businesses, users, products, events:
   bestsellers, hot today, most-voted, most-friended,
   highest karma/reputation, most requested, most
   attended, cheapest.



                                                    18 / 32
Contribute and Communicate

  Messaging, wall posts, discussion participation
  Publish, review, recommend, vote, register your
  purchase
  Help, answer questions, (real-time) consulting
  Invitations: to system, to events, to friendship, to
  fan-movement, to product/offer
  Tag, classify, flag, complain, vote for and against
  consumers/businesses
  Unlock/start a business profile, create
  fan-movement

                                                       19 / 32
Activities for Businesses
   Publish: news, ads, special offers, upcoming
   events, positions
   Push info: send messages, blog, invite
   Respond to questions, maintain FAQ
   Market research: mine demands, customers,
   customers statistics. Search for new consumers.
   “Recommended consumers”
   Conducting loyalty programs: sharing revenue,
   cash-back, extended warranty, virtual thanks
   Ask your customers: voting, crowdsourcing,
   feedback, feature requests

                                                     20 / 32
3
Research Challenges




                      21 / 32
I Am Bored!

  Tops/Bestsellers

  Popular among my friends

  Sandbox method

  Social business news: “My friends are
  buying”

  Feedback for “I am bored!”

  Relation to random walk?
                                          22 / 32
Reputation-Based Economy

  The more popular you are the cheaper are
  promotion mechanisms for you

  Robustness of reputation

  “Fair competition”

  Auction type (non-flat prices)

  User is protected


                                        23 / 32
Social Search

 Query             Answer
 Current customers Suggested customers
 Two-three names   Similar people

Differences from web search:
 Query language
 Granularity of answers
 Relevance/authority factors



                                         24 / 32
Relevance in Networks
Similarity chart for paper recommendation:


             interested in                 used words



                     co-authors
                                          cited

Scientist                                                 Paper
            author                                cited



                                  cited


Relevance is high when:
# of chains is high, chains are short, chains are heavy25 / 32
Other Interesting Questions
   Fighting social spam
   Market research algorithms: customer suggest,
   CRM tools
   Design new standard for business data (a-la FOAF)
   Extension for Open ID: Business ID?
   Interruption policy: who can speak with whom?
   New ideas for UI?
   Catching moment of interest
   Information pushing tools?
   “Thanks currency”
                                                   26 / 32
Project Challenges


   Identify basic use cases
   Getting first businesses/customers?
   Snowball mechanism? Rewarding early adopters?
   Earning mechanisms for users?
   Authentication for businesses?
   Partnership strategy? API policy, widgets?




                                                27 / 32
3
Conclusions




              28 / 32
Seven Principles
 1
     Separate business from private
 2
     Provide business identity
 3
     Merge all business-centered networks into
     one
 4
     Keep business data open
 5
     Use artificial artificial intelligence
 6
     Build reputation-based economy
 7
     Provide global algorithms
                                            29 / 32
Participate in the Project
Participation:
    Be a member of our prototype team
    Be a “a friend of the project”
    Participate in algorithms/social design
    research




                                              30 / 32
Participate in the Project
Participation:
    Be a member of our prototype team
    Be a “a friend of the project”
    Participate in algorithms/social design
    research

Partnership:
    Data exchange
    Incorporating specialized services
    Funding
                                              30 / 32
Links and Contacts

http://businessconsumer.net

Facebook group “Business-Consumer Networks”
http://www.facebook.com/group.php?gid=7986532437




http://yury.name
yury@caltech.edu
+1 626 463 3668


                                                   31 / 32
Thanks for your attention!
       Questions?

 Comments to vision?

 Relevant research topics?

 Any constructive ideas?

 How can you contribute?

                             32 / 32

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Business-Consumer Networks: Concept and Challenges

  • 1. Business-Consumer Networks Concept and Challenges Yury Lifshits Caltech http://yury.name SISL Seminar, February 1, 2008 1 / 32
  • 2. Project Objectives Goal: to design a web technology that serves as a universal environment for business-consumer communication Outputs: paper, community, prototype Time constraints: March 1, 2008 — May 31, 2008 2 / 32
  • 3. Informal Idea Business-Consumer Networks: Nodes: businesses, consumers Edges: loyalty relations 3 / 32
  • 4. Outline 1 Vision 2 Functionalities for Business Web 3 Research Challenges 4 Conclusions 4 / 32
  • 5. 1 Vision 7 Principles For Business Web 5 / 32
  • 6. 1. Separate Business from Private Home and office Private cell phone and business cell phone Private email and business email Facebook and ??? 6 / 32
  • 7. 1. Separate Business from Private Home and office Private cell phone and business cell phone Private email and business email Facebook and ??? Focus on business-side of the Web: Web2.0 technology for every business Avoid non-commercial features 6 / 32
  • 8. 2. Business Identity Serving as a reference point Accumulating reputation Active: sending messages, organizing events Interactive: answering questions, communication instead of ads Loyalty program conductor, endpoint for b2c relations 7 / 32
  • 9. 3. One Network for All Open data portability: reusing accumulated social data Convertibility for reputations Simplifying registrations Merging business-centered communities All reviews in a single place! 8 / 32
  • 10. 4. Open Business Data New generation is willing to share: give them tools for publishing business-related information Social design and reputation system should motivate openness Open RDF-based standard for business data Programming access to core data for third parties 9 / 32
  • 11. 5. Using Artificial Artificial Intelligence For demand/offer matching: Demand extraction: wishlists, “My troubles”, “Help me to choose”, “Give me a recommendation” On-line consulting: putting human layer for demand/offer matching Supporting decision making 10 / 32
  • 12. 5. Using Artificial Artificial Intelligence For demand/offer matching: Demand extraction: wishlists, “My troubles”, “Help me to choose”, “Give me a recommendation” On-line consulting: putting human layer for demand/offer matching Supporting decision making For demand generation: “I am bored” Surfing business web Human-delivered interactive ads (?) 10 / 32
  • 13. 6. Global Algorithms Social search Query-free search Recommendations Computational marketing 11 / 32
  • 14. 7. Reputation-Based Economy The more reputable you are the cheaper is advertising Irrelevant ads are punished, relevant ones are rewarded Focus on viral ads, grassroots support and evangelism 12 / 32
  • 16. Customer Profile Info: age, location, billing info, interests, my business-roles Facts: I have, I use, I bought, I visit, my discounts Friends, friend-businesses Contributions: blog, reviews, recommendations, anti-recommendations Demand: wishlist, my troubles, job demand Offers: I sell, freelance, handmade Free-space, place for widgets, wall/guestbook Reputations: rewards/loyalty statuses, karma, credit history, profile completeness, activity score, online status 14 / 32
  • 17. Business Profile Company info: logo, address, business hours, contact data, driving directions, teams, activities, employees and their roles, free text, keywords, industry category Products, special offers, services, menu, playbill, bestsellers, prices, sales, associated events, corporate blog FAQ, question answering Ads collection: texts, banners, audio, video, viral ads,promo-widgets Business-friends (related businesses) Reputation, votes up, profile completeness, product ratings 15 / 32
  • 18. Other entities Fan-spaces: wall/guestbook, reviews, fan list, critics, discussions, feature requests, fan-wiki Products, listings: description, offers, discussion, reviews Events Topic-specific portals: mashup, original content/functions Rewards networks 16 / 32
  • 19. Consumer Query-Driven Activities General keyword search Product search, event search, parameterized business search Local business search Post request, express demand, ask question, request recommendation Compare, make choices, decide 17 / 32
  • 20. Query-Free Activities “I am bored” button Suggest engine: interests, businesses, news, products, events News/updates: (digg-style) voted news, news from friends, news from friend-businesses Tops businesses, users, products, events: bestsellers, hot today, most-voted, most-friended, highest karma/reputation, most requested, most attended, cheapest. 18 / 32
  • 21. Contribute and Communicate Messaging, wall posts, discussion participation Publish, review, recommend, vote, register your purchase Help, answer questions, (real-time) consulting Invitations: to system, to events, to friendship, to fan-movement, to product/offer Tag, classify, flag, complain, vote for and against consumers/businesses Unlock/start a business profile, create fan-movement 19 / 32
  • 22. Activities for Businesses Publish: news, ads, special offers, upcoming events, positions Push info: send messages, blog, invite Respond to questions, maintain FAQ Market research: mine demands, customers, customers statistics. Search for new consumers. “Recommended consumers” Conducting loyalty programs: sharing revenue, cash-back, extended warranty, virtual thanks Ask your customers: voting, crowdsourcing, feedback, feature requests 20 / 32
  • 24. I Am Bored! Tops/Bestsellers Popular among my friends Sandbox method Social business news: “My friends are buying” Feedback for “I am bored!” Relation to random walk? 22 / 32
  • 25. Reputation-Based Economy The more popular you are the cheaper are promotion mechanisms for you Robustness of reputation “Fair competition” Auction type (non-flat prices) User is protected 23 / 32
  • 26. Social Search Query Answer Current customers Suggested customers Two-three names Similar people Differences from web search: Query language Granularity of answers Relevance/authority factors 24 / 32
  • 27. Relevance in Networks Similarity chart for paper recommendation: interested in used words co-authors cited Scientist Paper author cited cited Relevance is high when: # of chains is high, chains are short, chains are heavy25 / 32
  • 28. Other Interesting Questions Fighting social spam Market research algorithms: customer suggest, CRM tools Design new standard for business data (a-la FOAF) Extension for Open ID: Business ID? Interruption policy: who can speak with whom? New ideas for UI? Catching moment of interest Information pushing tools? “Thanks currency” 26 / 32
  • 29. Project Challenges Identify basic use cases Getting first businesses/customers? Snowball mechanism? Rewarding early adopters? Earning mechanisms for users? Authentication for businesses? Partnership strategy? API policy, widgets? 27 / 32
  • 30. 3 Conclusions 28 / 32
  • 31. Seven Principles 1 Separate business from private 2 Provide business identity 3 Merge all business-centered networks into one 4 Keep business data open 5 Use artificial artificial intelligence 6 Build reputation-based economy 7 Provide global algorithms 29 / 32
  • 32. Participate in the Project Participation: Be a member of our prototype team Be a “a friend of the project” Participate in algorithms/social design research 30 / 32
  • 33. Participate in the Project Participation: Be a member of our prototype team Be a “a friend of the project” Participate in algorithms/social design research Partnership: Data exchange Incorporating specialized services Funding 30 / 32
  • 34. Links and Contacts http://businessconsumer.net Facebook group “Business-Consumer Networks” http://www.facebook.com/group.php?gid=7986532437 http://yury.name yury@caltech.edu +1 626 463 3668 31 / 32
  • 35. Thanks for your attention! Questions? Comments to vision? Relevant research topics? Any constructive ideas? How can you contribute? 32 / 32