Travelled to:1 × Australia
1 × Georgia
1 × Switzerland
2 × China
6 × USA
Collaborated with:I.Guy E.Uziel M.Jacovi A.Perer N.Zwerdling D.Carmel S.Ur M.Barnea S.Ofek-Koifman S.Yogev A.Raviv E.Shahar E.Kravi D.R.Raban A.Danan N.Har'El S.Weber T.Oral T.Steier T.Daniel N.Meshulam M.Müller K.Ehrlich T.Matthews S.Chernov
Talks about:social (10) enterpris (5) recommend (4) peopl (4) media (4) network (3) search (3) person (3) same (3) base (3)
Person: Inbal Ronen
DBLP: Ronen:Inbal
Contributed to:
2014
2012
2012
2011
2011201020102009200920092008Wrote 13 papers:
- SIGIR-2014-RonenGKB #community #recommendation #social #social media
- Recommending social media content to community owners (IR, IG, EK, MB), pp. 243–252.
- CHI-2012-GuyURWO #enterprise #people #scalability
- Best faces forward: a large-scale study of people search in the enterprise (IG, SU, IR, SW, TO), pp. 1775–1784.
- CHI-2012-MullerEMPRG #community #enterprise #online #social #social media
- Diversity among enterprise online communities: collaborating, teaming, and innovating through social media (MM, KE, TM, AP, IR, IG), pp. 2815–2824.
- CHI-2012-RabanDRG #people
- Impression formation in corporate people tagging (DRR, AD, IR, IG), pp. 569–578.
- CIKM-2012-GuySBRD #enterprise #process
- Swimming against the streamz: search and analytics over the enterprise activity stream (IG, TS, MB, IR, TD), pp. 1587–1591.
- CSCW-2011-GuyURPJ #enterprise #recommendation
- Do you want to know?: recommending strangers in the enterprise (IG, SU, IR, AP, MJ), pp. 285–294.
- RecSys-2011-GuyRR #personalisation #process
- Personalized activity streams: sifting through the “river of news” (IG, IR, AR), pp. 181–188.
- CSCW-2010-GuyJPRU #mining #people #similarity #social #social media
- Same places, same things, same people?: mining user similarity on social media (IG, MJ, AP, IR, EU), pp. 41–50.
- SIGIR-2010-GuyZRCU #people #recommendation #social #social media
- Social media recommendation based on people and tags (IG, NZ, IR, DC, EU), pp. 194–201.
- CIKM-2009-CarmelZGOHRUYC #network #personalisation #social
- Personalized social search based on the user’s social network (DC, NZ, IG, SOK, NH, IR, EU, SY, SC), pp. 1227–1236.
- RecSys-2009-GuyZCRUYO #personalisation #recommendation #social
- Personalized recommendation of social software items based on social relations (IG, NZ, DC, IR, EU, SY, SOK), pp. 53–60.
- SIGIR-2009-RonenSUUYZCGHO #enterprise #network #social
- Social networks and discovery in the enterprise (SaND) (IR, ES, SU, EU, SY, NZ, DC, IG, NH, SOK), p. 836.
- CSCW-2008-GuyJMRS #email #network #social
- Public vs. private: comparing public social network information with email (IG, MJ, NM, IR, ES), pp. 393–402.