Daniel Tunkelang discusses three key areas - relevance, recommendations, and reputation - that LinkedIn is focusing on to improve the user experience. Relevance refers to improving search and discovery of profiles by combining different types of signals. Recommendations match members to jobs, groups, and other connections. Reputation involves identifying member expertise in skills and who the experts are in particular skills. Open problems remain around exploratory search, balancing exploration and exploitation of the data, and incentivizing the development of online reputation.
8. Identity Connect, find and be found Rolodex, Resume, Business Card LinkedIn Profile, Address Book, Search Insights Be great at what you do Newspapers, Trade Magazines, Events Homepage, LinkedIn Today, Groups Everywhere Desktop Work wherever our members work Mobile, APIs, Plug-Ins What is LinkedIn? 3
12. Insights: Power of Aggregation Before employees worked at Yahoo! (169) Google (96) Oracle (78) Microsoft (72) IBM (43) Before employees worked at Google(475) Microsoft (448) LinkedIn (169) Apple, Inc. (154) ebay(133) 7
42. People Search: HMM + Segmentation for i in [1..n] s w1 w2 … wi if Pc(s) > 0 a new Segment() a.segs {s} a.prob Pc(s) B[i] {a} for j in [1..i-1] for b in B[j] s wjwj+1 … wi if Pc(s) > 0 a new Segment() a.segsb.segs U {s} a.probb.prob * Pc(s) B[i] B[i] U {a} sort B[i] by prob truncate B[i] to size k 25
54. … industry description functional area Current Position title summary tenure length industry functional area … Job Matching: Algorithm Corpus Stats Job Matching Transition probabilities Connectivity yrs of experience to reach title education needed for this title … Binary Exact matches: geo, industry, … Soft transition probabilities, similarity, … Text title geo company User Base Similarity (candidate expertise, job description) 0.56 Filtered Similarity (candidate specialties, job description) 0.2 Candidate Transition probability (candidate industry, job industry) 0.43 General expertise specialties education headline geo experience Title Similarity 0.8 Similarity (headline, title) 0.7 derived . . . 30
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