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Ido Guy
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2020 – today
- 2024
- [j20]Thomas Robinson
, Niek Tax, Richard Mudd, Ido Guy:
Active learning with biased non-response to label requests. Data Min. Knowl. Discov. 38(4): 2117-2140 (2024) - [j19]Shay Gershtein
, Uri Avron
, Ido Guy
, Tova Milo
, Slava Novgorodov
:
Automated Category Tree Construction: Hardness Bounds and Algorithms. ACM Trans. Database Syst. 49(3): 11:1-11:32 (2024) - [c90]Adir Solomon
, Tsvi Kuflik
, Bracha Shapira
, Ido Guy
:
RecTemp: Temporal Reasoning in Recommendation Systems. RecSys 2024: 1227-1228 - [c89]Amir Gabay
, Adir Solomon
, Ido Guy
, Bracha Shapira
:
Creating an Intelligent Social Media Campaign Decision-Support Method. UMAP 2024: 149-158 - [i13]Dan Kalifa, Uriel Singer, Ido Guy, Guy D. Rosin, Kira Radinsky:
Leveraging World Events to Predict E-Commerce Consumer Demand under Anomaly. CoRR abs/2405.13995 (2024) - 2023
- [j18]Arnon Dagan, Ido Guy, Slava Novgorodov:
Shop by image: characterizing visual search in e-commerce. Inf. Retr. J. 26(1): 2 (2023) - [j17]Sharon Hirsch
, Slava Novgorodov
, Ido Guy
, Alexander Nus
:
The Tip of the Buyer: Extracting Product Tips from Reviews. ACM Trans. Internet Techn. 23(1): 4:1-4:30 (2023) - [c88]Shervin Malmasi
, Besnik Fetahu
, Eugene Agichtein
, Oleg Rokhlenko
, Ido Guy, Nicola Ueffing
, Surya Kallumadi
:
The 6th Workshop on e-eommerce and NLP (ECNLP 6). KDD 2023: 5872-5873 - [c87]David S. Watson, Joshua O'Hara, Niek Tax, Richard Mudd, Ido Guy:
Explaining Predictive Uncertainty with Information Theoretic Shapley Values. NeurIPS 2023 - [c86]Takuo Matsubara, Niek Tax, Richard Mudd, Ido Guy:
TCE: A Test-Based Approach to Measuring Calibration Error. UAI 2023: 1390-1400 - [c85]Tamar Didi
, Ido Guy
, Amit Livne
, Arnon Dagan
, Lior Rokach
, Bracha Shapira
:
Promoting Tail Item Recommendations in E-Commerce. UMAP 2023: 194-203 - [i12]David S. Watson, Joshua O'Hara, Niek Tax, Richard Mudd, Ido Guy:
Explaining Predictive Uncertainty with Information Theoretic Shapley Values. CoRR abs/2306.05724 (2023) - [i11]Takuo Matsubara, Niek Tax, Richard Mudd, Ido Guy:
TCE: A Test-Based Approach to Measuring Calibration Error. CoRR abs/2306.14343 (2023) - [i10]Thomas Robinson, Niek Tax, Richard Mudd, Ido Guy:
Active learning with biased non-response to label requests. CoRR abs/2312.08150 (2023) - 2022
- [c84]Galia Nordon, Aviram Magen, Ido Guy, Kira Radinsky:
Learning to Rank Articles for Molecular Queries. AAAI 2022: 12594-12600 - [c83]Shay Gershtein, Uri Avron, Ido Guy, Tova Milo, Slava Novgorodov:
On the Hardness of Category Tree Construction. ICDT 2022: 4:1-4:17 - [c82]Uri Avron, Shay Gershtein, Ido Guy, Tova Milo, Slava Novgorodov:
Automated Category Tree Construction in E-Commerce. SIGMOD Conference 2022: 1770-1783 - [c81]Dan Kalifa
, Uriel Singer
, Ido Guy, Guy D. Rosin, Kira Radinsky:
Leveraging World Events to Predict E-Commerce Consumer Demand under Anomaly. WSDM 2022: 430-438 - [c80]Guy D. Rosin, Ido Guy, Kira Radinsky:
Time Masking for Temporal Language Models. WSDM 2022: 833-841 - [c79]Uriel Singer
, Haggai Roitman, Yotam Eshel, Alexander Nus, Ido Guy, Or Levi, Idan Hasson, Eliyahu Kiperwasser:
Sequential Modeling with Multiple Attributes for Watchlist Recommendation in E-Commerce. WSDM 2022: 937-946 - [r3]Ido Guy:
Social Recommender Systems. Recommender Systems Handbook 2022: 835-870 - [i9]Uriel Singer, Haggai Roitman, Ido Guy, Kira Radinsky:
tBDFS: Temporal Graph Neural Network Leveraging DFS. CoRR abs/2206.05692 (2022) - 2021
- [j16]Iván Palomares
, Carlos Porcel, Luiz Pizzato, Ido Guy
, Enrique Herrera-Viedma:
Reciprocal Recommender Systems: Analysis of state-of-art literature, challenges and opportunities towards social recommendation. Inf. Fusion 69: 103-127 (2021) - [j15]Iván Palomares, James Neve, Carlos Porcel, Luiz Pizzato, Ido Guy, Enrique Herrera-Viedma:
Corrigendum to "Reciprocal Recommender Systems: Analysis of state-of-art literature, challenges and opportunities towards social recommendation" Information Fusion Volume 69 (2020) 103-127. Inf. Fusion 75: 101 (2021) - [c78]Ido Guy, Tova Milo, Slava Novgorodov, Brit Youngmann:
Improving Constrained Search Results By Data Melioration. ICDE 2021: 1667-1678 - [c77]Uri Avron, Shay Gershtein, Ido Guy, Tova Milo, Slava Novgorodov:
ConCaT: Construction of Category Trees from Search Queries in E-Commerce. ICDE 2021: 2701-2704 - [c76]Arnon Dagan, Ido Guy, Slava Novgorodov:
An Image is Worth a Thousand Terms? Analysis of Visual E-Commerce Search. SIGIR 2021: 102-112 - [c75]Sharon Hirsch, Slava Novgorodov, Ido Guy, Alexander Nus:
Generating Tips from Product Reviews. WSDM 2021: 310-318 - [c74]Guy D. Rosin, Ido Guy, Kira Radinsky:
Event-Driven Query Expansion. WSDM 2021: 391-399 - [i8]Guy D. Rosin, Ido Guy, Kira Radinsky:
Time Masking for Temporal Language Models. CoRR abs/2110.06366 (2021) - [i7]Uriel Singer, Haggai Roitman, Yotam Eshel, Alexander Nus, Ido Guy, Or Levi, Idan Hasson, Eliyahu Kiperwasser:
Sequential Modeling with Multiple Attributes for Watchlist Recommendation in E-Commerce. CoRR abs/2110.11072 (2021) - [i6]David Tsurel, Michael Doron, Alexander Nus, Arnon Dagan, Ido Guy, Dafna Shahaf:
E-Commerce Dispute Resolution Prediction. CoRR abs/2110.15730 (2021) - 2020
- [j14]Ido Guy, Tova Milo, Slava Novgorodov, Brit Youngmann:
CONCIERGE: Improving Constrained Search Results by Data Melioration. Proc. VLDB Endow. 13(12): 2865-2868 (2020) - [j13]Slava Novgorodov, Ido Guy, Guy Elad, Kira Radinsky:
Descriptions from the Customers: Comparative Analysis of Review-based Product Description Generation Methods. ACM Trans. Internet Techn. 20(4): 44:1-44:31 (2020) - [j12]Himan Abdollahpouri, Gediminas Adomavicius, Robin Burke
, Ido Guy, Dietmar Jannach, Toshihiro Kamishima, Jan Krasnodebski, Luiz Augusto Pizzato:
Multistakeholder recommendation: Survey and research directions. User Model. User Adapt. Interact. 30(1): 127-158 (2020) - [c73]Moran Beladev, Lior Rokach, Gilad Katz, Ido Guy, Kira Radinsky:
tdGraphEmbed: Temporal Dynamic Graph-Level Embedding. CIKM 2020: 55-64 - [c72]David Tsurel, Michael Doron, Alexander Nus, Arnon Dagan, Ido Guy, Dafna Shahaf:
E-Commerce Dispute Resolution Prediction. CIKM 2020: 1465-1474 - [c71]Hen Tzaban, Ido Guy, Asnat Greenstein-Messica, Arnon Dagan, Lior Rokach, Bracha Shapira
:
Product Bundle Identification using Semi-Supervised Learning. SIGIR 2020: 791-800 - [c70]Sharon Hirsch, Ido Guy, Alexander Nus, Arnon Dagan, Oren Kurland:
Query Reformulation in E-Commerce Search. SIGIR 2020: 1319-1328 - [i5]Guy D. Rosin, Ido Guy, Kira Radinsky:
Event-Driven Query Expansion. CoRR abs/2012.12065 (2020)
2010 – 2019
- 2019
- [j11]Victor Makarenkov, Ido Guy, Niva Hazon, Tamar Meisels, Bracha Shapira
, Lior Rokach:
Implicit dimension identification in user-generated text with LSTM networks. Inf. Process. Manag. 56(5): 1880-1893 (2019) - [c69]Guy Elad, Ido Guy, Slava Novgorodov, Benny Kimelfeld, Kira Radinsky:
Learning to Generate Personalized Product Descriptions. CIKM 2019: 389-398 - [c68]Dor Ringel, Gal Lavee, Ido Guy, Kira Radinsky:
Cross-Cultural Transfer Learning for Text Classification. EMNLP/IJCNLP (1) 2019: 3871-3881 - [c67]Uriel Singer, Ido Guy, Kira Radinsky:
Node Embedding over Temporal Graphs. IJCAI 2019: 4605-4612 - [c66]Oren Sar Shalom, Dietmar Jannach, Ido Guy:
First workshop on the impact of recommender systems at ACM RecSys 2019. RecSys 2019: 556-557 - [c65]Slava Novgorodov, Guy Elad, Ido Guy, Kira Radinsky:
Generating Product Descriptions from User Reviews. WWW 2019: 1354-1364 - [e5]Oren Sar Shalom, Dietmar Jannach, Ido Guy:
Proceedings of the 1st Workshop on the Impact of Recommender Systems co-located with 13th ACM Conference on Recommender Systems, ImpactRS@RecSys 2019), Copenhagen, Denmark, September 19, 2019. CEUR Workshop Proceedings 2462, CEUR-WS.org 2019 [contents] - [i4]Victor Makarenkov, Ido Guy, Niva Hazon, Tamar Meisels, Bracha Shapira, Lior Rokach:
Implicit Dimension Identification in User-Generated Text with LSTM Networks. CoRR abs/1901.09219 (2019) - [i3]Uriel Singer, Ido Guy, Kira Radinsky:
Node Embedding over Temporal Graphs. CoRR abs/1903.08889 (2019) - [i2]Himan Abdollahpouri, Gediminas Adomavicius, Robin Burke, Ido Guy, Dietmar Jannach, Toshihiro Kamishima, Jan Krasnodebski, Luiz Augusto Pizzato:
Beyond Personalization: Research Directions in Multistakeholder Recommendation. CoRR abs/1905.01986 (2019) - 2018
- [j10]Or Levi, Ido Guy, Fiana Raiber, Oren Kurland:
Selective Cluster Presentation on the Search Results Page. ACM Trans. Inf. Syst. 36(3): 28:1-28:42 (2018) - [j9]Ido Guy:
The Characteristics of Voice Search: Comparing Spoken with Typed-in Mobile Web Search Queries. ACM Trans. Inf. Syst. 36(3): 30:1-30:28 (2018) - [c64]Ido Guy:
Connecting sellers and buyers on the world's largest inventory. RecSys 2018: 490-491 - [c63]Ido Guy, Bracha Shapira
:
From Royals to Vegans: Characterizing Question Trolling on a Community Question Answering Website. SIGIR 2018: 835-844 - [c62]Ido Guy, Alexander Nus, Dan Pelleg, Idan Szpektor:
Care to Share?: Learning to Rank Personal Photos for Public Sharing. WSDM 2018: 207-215 - [c61]Ido Guy, Victor Makarenkov, Niva Hazon, Lior Rokach, Bracha Shapira
:
Identifying Informational vs. Conversational Questions on Community Question Answering Archives. WSDM 2018: 216-224 - [p2]Ido Guy
:
People Recommendation on Social Media. Social Information Access 2018: 570-623 - 2017
- [j8]Daphne Ruth Raban
, Avinoam Danan, Inbal Ronen, Ido Guy:
Impression management through people tagging in the enterprise: Implications for social media sampling and design. J. Inf. Sci. 43(3): 295-315 (2017) - [c60]Robin Burke
, Gediminas Adomavicius, Ido Guy, Jan Krasnodebski, Luiz Augusto Pizzato, Yi Zhang
, Himan Abdollahpouri:
VAMS 2017: Workshop on Value-Aware and Multistakeholder Recommendation. RecSys 2017: 378-379 - [c59]Ido Guy, Kira Radinsky:
Structuring the Unstructured: From Startup to Making Sense of eBay's Huge eCommerce Inventory. SIGIR 2017: 1351 - [c58]David Tsurel, Dan Pelleg, Ido Guy, Dafna Shahaf:
Fun Facts: Automatic Trivia Fact Extraction from Wikipedia. WSDM 2017: 345-354 - [c57]Ido Guy, Avihai Mejer, Alexander Nus, Fiana Raiber:
Extracting and Ranking Travel Tips from User-Generated Reviews. WWW 2017: 987-996 - 2016
- [j7]Ido Guy, Inbal Ronen, Elad Kravi, Maya Barnea:
Increasing Activity in Enterprise Online Communities Using Content Recommendation. ACM Trans. Comput. Hum. Interact. 23(4): 22:1-22:28 (2016) - [c56]Ido Guy, Inbal Ronen, Naama Zwerdling, Irena Grabovitch-Zuyev, Michal Jacovi:
What is Your Organization 'Like'?: A Study of Liking Activity in the Enterprise. CHI 2016: 3025-3037 - [c55]Elad Kravi, Ido Guy, Avihai Mejer, David Carmel, Yoelle Maarek, Dan Pelleg, Gilad Tsur:
One Query, Many Clicks: Analysis of Queries with Multiple Clicks by the Same User. CIKM 2016: 1423-1432 - [c54]Or Levi, Fiana Raiber, Oren Kurland, Ido Guy:
Selective Cluster-Based Document Retrieval. CIKM 2016: 1473-1482 - [c53]Dan Pelleg, Oleg Rokhlenko, Idan Szpektor, Eugene Agichtein, Ido Guy:
When the Crowd is Not Enough: Improving User Experience with Social Media through Automatic Quality Analysis. CSCW 2016: 1078-1088 - [c52]Ido Guy, Luiz Augusto Pizzato:
People Recommendation Tutorial. RecSys 2016: 431-432 - [c51]Ido Guy:
Searching by Talking: Analysis of Voice Queries on Mobile Web Search. SIGIR 2016: 35-44 - [c50]Ido Guy, Dan Pelleg:
The Factoid Queries Collection. SIGIR 2016: 717-720 - [c49]Anat Hashavit, Roy Levin, Ido Guy, Gilad Kutiel:
Effective Trend Detection within a Dynamic Search Context. SIGIR 2016: 817-820 - [e4]Ido Guy, Amit Sharma:
Proceedings of the Poster Track of the 10th ACM Conference on Recommender Systems (RecSys 2016), Boston, USA, September 17, 2016. CEUR Workshop Proceedings 1688, CEUR-WS.org 2016 [contents] - [i1]David Tsurel, Dan Pelleg, Ido Guy, Dafna Shahaf:
Fun Facts: Automatic Trivia Fact Extraction from Wikipedia. CoRR abs/1612.03896 (2016) - 2015
- [c48]Ido Guy, Anat Hashavit, Yaniv Corem:
Games for Crowds: A Crowdsourcing Game Platform for the Enterprise. CSCW 2015: 1860-1871 - [c47]Arnon Yogev, Ido Guy, Inbal Ronen, Naama Zwerdling, Maya Barnea:
Social Media-Based Expertise Evidence. ECSCW 2015: 63-82 - [c46]Ido Guy:
The Role of User Location in Personalized Search and Recommendation. RecSys 2015: 236 - [c45]Ido Guy, Roy Levin, Tal Daniel, Ella Bolshinsky:
Islands in the Stream: A Study of Item Recommendation within an Enterprise Social Stream. SIGIR 2015: 665-674 - [c44]Elad Kravi, Eugene Agichtein, Ido Guy, Yaron Kanza, Avihai Mejer, Dan Pelleg:
Searcher in a Strange Land: Understanding Web Search from Familiar and Unfamiliar Locations. SIGIR 2015: 855-858 - [r2]Ido Guy:
Social Recommender Systems. Recommender Systems Handbook 2015: 511-543 - 2014
- [c43]Kate Ehrlich, Michael J. Muller, Tara Matthews, Ido Guy, Inbal Ronen:
What motivates members to contribute to enterprise online communities? CSCW Companion 2014: 149-152 - [c42]N. Sadat Shami, Jiang Yang, Laura Panc, Casey Dugan, Tristan Ratchford, Jamie C. Rasmussen, Yannick Assogba, Tal Steier, Todd Soule, Stela Lupushor, Werner Geyer, Ido Guy, Jonathan Ferrar:
Understanding employee social media chatter with enterprise social pulse. CSCW 2014: 379-392 - [c41]Gloria Mark, Ido Guy, Shiri Kremer-Davidson, Michal Jacovi:
Most liked, fewest friends: patterns of enterprise social media use. CSCW 2014: 393-404 - [c40]Michal Jacovi, Ido Guy, Shiri Kremer-Davidson, Sara Porat, Neta Aizenbud-Reshef:
The perception of others: inferring reputation from social media in the enterprise. CSCW 2014: 756-766 - [c39]Dietmar Jannach, Jill Freyne, Werner Geyer, Ido Guy, Andreas Hotho, Bamshad Mobasher:
The sixth ACM RecSys workshop on recommender systems and the social web. RecSys 2014: 395 - [c38]Ido Guy, Werner Geyer:
Social recommender system tutorial. RecSys 2014: 403-404 - [c37]Inbal Ronen, Ido Guy, Elad Kravi, Maya Barnea:
Recommending social media content to community owners. SIGIR 2014: 243-252 - [c36]Ido Guy:
Tutorial on social recommender systems. WWW (Companion Volume) 2014: 195-196 - [e3]Dietmar Jannach, Jill Freyne, Werner Geyer, Ido Guy, Andreas Hotho, Bamshad Mobasher:
Proceedings of the 6th Workshop on Recommender Systems and the Social Web (RSWeb 2014) co-located with the 8th ACM Conference on Recommender Systems (RecSys 2014), Foster City, CA, USA, October 6, 2014. CEUR Workshop Proceedings 1271, CEUR-WS.org 2014 [contents] - 2013
- [j6]Ido Guy, Li Chen, Michelle X. Zhou:
Introduction to the special section on social recommender systems. ACM Trans. Intell. Syst. Technol. 4(1): 7:1-7:2 (2013) - [j5]Adam Perer, Ido Guy, Erel Uziel, Inbal Ronen, Michal Jacovi:
The Longitudinal Use of SaNDVis: Visual Social Network Analytics in the Enterprise. IEEE Trans. Vis. Comput. Graph. 19(7): 1095-1108 (2013) - [c35]Ido Guy, Tal Steier, Maya Barnea, Inbal Ronen, Tal Daniel:
Finger on the Pulse: The Value of the Activity Stream in the Enterprise. INTERACT (4) 2013: 411-428 - [c34]Bamshad Mobasher, Dietmar Jannach, Werner Geyer, Jill Freyne, Andreas Hotho, Sarabjot Singh Anand, Ido Guy:
The fifth ACM RecSys workshop on recommender systems and the social web. RecSys 2013: 477-478 - [c33]Ido Guy:
Mining and analyzing the enterprise knowledge graph. WWW (Companion Volume) 2013: 497-498 - [c32]Ido Guy, Uri Avraham, David Carmel, Sigalit Ur, Michal Jacovi, Inbal Ronen:
Mining expertise and interests from social media. WWW 2013: 515-526 - [e2]Bamshad Mobasher, Dietmar Jannach, Werner Geyer, Jill Freyne, Andreas Hotho, Sarabjot Singh Anand, Ido Guy:
Proceedings of the Fifth ACM RecSys Workshop on Recommender Systems and the Social Web co-located with the 7th ACM Conference on Recommender Systems (RecSys 2013), Hong Kong, China, October 13, 2013. CEUR Workshop Proceedings 1066, CEUR-WS.org 2013 [contents] - [r1]Ido Guy:
Algorithms for Social Recommendation. Handbook of Human Computation 2013: 649-671 - 2012
- [j4]David Carmel, Erel Uziel, Ido Guy, Yosi Mass, Haggai Roitman:
Folksonomy-Based Term Extraction for Word Cloud Generation. ACM Trans. Intell. Syst. Technol. 3(4): 60:1-60:20 (2012) - [c31]Daphne R. Raban
, Avinoam Danan, Inbal Ronen, Ido Guy:
Impression formation in corporate people tagging. CHI 2012: 569-578 - [c30]Ido Guy, Sigalit Ur, Inbal Ronen, Sara Weber, Tolga Oral:
Best faces forward: a large-scale study of people search in the enterprise. CHI 2012: 1775-1784 - [c29]Michael J. Muller, Kate Ehrlich, Tara Matthews, Adam Perer, Inbal Ronen, Ido Guy:
Diversity among enterprise online communities: collaborating, teaming, and innovating through social media. CHI 2012: 2815-2824 - [c28]Ido Guy, Tal Steier, Maya Barnea, Inbal Ronen, Tal Daniel:
Swimming against the streamz: search and analytics over the enterprise activity stream. CIKM 2012: 1587-1591 - [c27]Adam Perer, Ido Guy:
SaNDVis: visual social network analytics for the enterprise. CSCW (Companion) 2012: 275-276 - [c26]Neta Aizenbud-Reshef, Artem Barger, Ido Guy, Yael Dubinsky, Shiri Kremer-Davidson:
Bon voyage: social travel planning in the enterprise. CSCW 2012: 819-828 - [p1]Ido Guy:
Social Recommendation Based on a Rich Aggregation Model. Recommender Systems for the Social Web 2012: 121-135 - [e1]Padraig Cunningham, Neil J. Hurley, Ido Guy, Sarabjot Singh Anand:
Sixth ACM Conference on Recommender Systems, RecSys '12, Dublin, Ireland, September 9-13, 2012. ACM 2012, ISBN 978-1-4503-1270-7 [contents] - 2011
- [j3]Daphne Ruth Raban
, Inbal Ronen, Ido Guy:
Acting or reacting? Preferential attachment in a people-tagging system. J. Assoc. Inf. Sci. Technol. 62(4): 738-747 (2011) - [j2]Ido Guy, Li Chen, Michelle X. Zhou:
Introduction. ACM Trans. Intell. Syst. Technol. 3(1): 1:1-1:2 (2011) - [c25]Ido Guy, Adam Perer, Tal Daniel, Ohad Greenshpan, Itai Turbahn:
Guess who?: enriching the social graph through a crowdsourcing game. CHI 2011: 1373-1382 - [c24]David Carmel, Erel Uziel, Ido Guy, Yosi Mass, Haggai Roitman:
Folksonomy-based term extraction for word cloud generation. CIKM 2011: 2437-2440 - [c23]Chang Yan Chi, Qinying Liao, Yingxin Pan, Shiwan Zhao, Tara Matthews, Thomas P. Moran, Michelle X. Zhou, David R. Millen, Ching-Yung Lin, Ido Guy:
Smarter social collaboration at IBM research. CSCW 2011: 159-166 - [c22]Ido Guy, Sigalit Ur, Inbal Ronen, Adam Perer, Michal Jacovi:
Do you want to know?: recommending strangers in the enterprise. CSCW 2011: 285-294 - [c21]Michal Jacovi, Ido Guy, Inbal Ronen, Adam Perer, Erel Uziel, Michael Maslenko:
Digital Traces of Interest: Deriving Interest Relationships from Social Media Interactions. ECSCW 2011: 21-40 - [c20]Adam Perer, Ido Guy, Erel Uziel, Inbal Ronen, Michal Jacovi:
Unearthing People from the SaND: Relationship Discovery with Social Media in the Enterprise. ICWSM 2011 - [c19]Adam Perer, Ido Guy, Erel Uziel, Inbal Ronen, Michal Jacovi:
Visual social network analytics for relationship discovery in the enterprise. IEEE VAST 2011: 71-79 - [c18]Neta Aizenbud-Reshef, Artem Barger, Yael Dubinsky, Ido Guy, Shiri Kremer-Davidson:
Privacy Concerns in Enterprise Social Travel: Attitudes and Actions. INTERACT (3) 2011: 242-249 - [c17]Ido Guy, Inbal Ronen, Ariel Raviv:
Personalized activity streams: sifting through the "river of news". RecSys 2011: 181-188 - [c16]Jill Freyne, Sarabjot Singh Anand, Ido Guy, Andreas Hotho:
3rd workshop on recommender systems and the social web. RecSys 2011: 383-384 - [c15]Ido Guy, David Carmel:
Social recommender systems. WWW (Companion Volume) 2011: 283-284 - 2010
- [c14]Ido Guy, Michal Jacovi, Adam Perer, Inbal Ronen, Erel Uziel:
Same places, same things, same people?: mining user similarity on social media. CSCW 2010: 41-50 - [c13]Ido Guy, Li Chen, Michelle X. Zhou:
Workshop on social recommender systems. IUI 2010: 433-434 - [c12]Ido Guy, Alejandro Jaimes, Pau Agulló,