{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,16]],"date-time":"2026-01-16T20:26:40Z","timestamp":1768595200841,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":48,"publisher":"ACM","license":[{"start":{"date-parts":[[2017,2,2]],"date-time":"2017-02-02T00:00:00Z","timestamp":1485993600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2017,2,2]]},"DOI":"10.1145\/3018661.3018679","type":"proceedings-article","created":{"date-parts":[[2017,2,2]],"date-time":"2017-02-02T20:09:48Z","timestamp":1486066188000},"page":"41-50","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":17,"title":["Anticipating Information Needs Based on Check-in Activity"],"prefix":"10.1145","author":[{"given":"Jan R.","family":"Benetka","sequence":"first","affiliation":[{"name":"Norwegian University of Science and Technology, Trondheim, Norway"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Krisztian","family":"Balog","sequence":"additional","affiliation":[{"name":"University of Stavanger, Stavanger, Norway"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kjetil","family":"N\u00f8rv\u00e5g","sequence":"additional","affiliation":[{"name":"Norwegian University of Science and Technology, Trondheim, Norway"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2017,2,2]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"crossref","unstructured":"J. Allan B. Croft A. Moffat and M. Sanderson. Frontiers challenges and opportunities for information retrieval: Report from SWIRL 2012 the second strategic workshop on information retrieval in Lorne. phSIGIR Forum 46 (1): 2--32 2012.  J. Allan B. Croft A. Moffat and M. Sanderson. Frontiers challenges and opportunities for information retrieval: Report from SWIRL 2012 the second strategic workshop on information retrieval in Lorne. phSIGIR Forum 46 (1): 2--32 2012.","DOI":"10.1145\/2215676.2215678"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","unstructured":"A. Amin S. Townsend J. Van Ossenbruggen and L. Hardman. Fancy a drink in canary wharf?: A user study on location-based mobile search. In phProc. of INTERACT 2009.  A. Amin S. Townsend J. Van Ossenbruggen and L. Hardman. Fancy a drink in canary wharf?: A user study on location-based mobile search. In phProc. of INTERACT 2009.","DOI":"10.1007\/978-3-642-03655-2_80"},{"key":"e_1_3_2_1_3_1","unstructured":"Apple. Apple Siri. http:\/\/www.apple.com\/ios\/siri\/ 2015. Accessed: 2016-08-03.  Apple. Apple Siri. http:\/\/www.apple.com\/ios\/siri\/ 2015. Accessed: 2016-08-03."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"Z. Bar-Yossef and N. Kraus. Context-sensitive query auto-completion. In phProc. of WWW 2011.  Z. Bar-Yossef and N. Kraus. Context-sensitive query auto-completion. In phProc. of WWW 2011.","DOI":"10.1145\/1963405.1963424"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","unstructured":"dl]braunhofer-2015-camM. Braunhofer F. Ricci B. Lamche and W. W\u00f6rndl. A context-aware model for proactive recommender systems in the tourism domain. In phProc. of MobileHCI 2015.  dl]braunhofer-2015-camM. Braunhofer F. Ricci B. Lamche and W. W\u00f6rndl. A context-aware model for proactive recommender systems in the tourism domain. In phProc. of MobileHCI 2015.","DOI":"10.1145\/2786567.2794332"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"J. Budzik and K. J. Hammond. User interactions with everyday applications as context for just-in-time information access. In phProc. of IUI 2000.  J. Budzik and K. J. Hammond. User interactions with everyday applications as context for just-in-time information access. In phProc. of IUI 2000.","DOI":"10.1145\/325737.325776"},{"key":"e_1_3_2_1_7_1","unstructured":"C. Cheng H. Yang M. R. Lyu and I. King. Where you like to go next: Successive point-of-interest recommendation. In phProc. of IJCAI 2013.  C. Cheng H. Yang M. R. Lyu and I. King. Where you like to go next: Successive point-of-interest recommendation. In phProc. of IJCAI 2013."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","unstructured":"K. Church B. Smyth and M. T. Keane. Evaluating interfaces for intelligent mobile search. In phProc. of W4A 2006.  K. Church B. Smyth and M. T. Keane. Evaluating interfaces for intelligent mobile search. In phProc. of W4A 2006.","DOI":"10.1145\/1133219.1133232"},{"key":"e_1_3_2_1_9_1","unstructured":"C. Gonz\u00e1lez C. A. H. R. and A.-L. Barab\u00e1si. Understanding individual human mobility patterns. phCoRR abs\/0806.1256 2008.  C. Gonz\u00e1lez C. A. H. R. and A.-L. Barab\u00e1si. Understanding individual human mobility patterns. phCoRR abs\/0806.1256 2008."},{"key":"e_1_3_2_1_10_1","unstructured":"Google. Google Now. https:\/\/www.google.com\/landing\/now\/ 2016. Accessed: 2016-08-03.  Google. Google Now. https:\/\/www.google.com\/landing\/now\/ 2016. Accessed: 2016-08-03."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"R. V. Guha V. Gupta V. Raghunathan and R. Srikant. User modeling for a personal assistant. In phProc. of WSDM 2015.  R. V. Guha V. Gupta V. Raghunathan and R. Srikant. User modeling for a personal assistant. In phProc. of WSDM 2015.","DOI":"10.1145\/2684822.2685309"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"crossref","unstructured":"A. Hassan Awadallah R. W. White P. Pantel S. T. Dumais and Y.-M. Wang. Supporting complex search tasks. In phProc. of CIKM 2014.  A. Hassan Awadallah R. W. White P. Pantel S. T. Dumais and Y.-M. Wang. Supporting complex search tasks. In phProc. of CIKM 2014.","DOI":"10.1145\/2661829.2661912"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"A. Hinze C. Chang and D. M. Nichols. Contextual queries express mobile information needs. In phProc. of MobileHCI 2010.  A. Hinze C. Chang and D. M. Nichols. Contextual queries express mobile information needs. In phProc. of MobileHCI 2010.","DOI":"10.1145\/1851600.1851658"},{"key":"e_1_3_2_1_14_1","unstructured":"L. Hong Y. Shi and S. Rajan. Learning optimal card ranking from query reformulation. pharXiv preprint arXiv:1606.06816 2016.  L. Hong Y. Shi and S. Rajan. Learning optimal card ranking from query reformulation. pharXiv preprint arXiv:1606.06816 2016."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","unstructured":"M. Kamvar and D. Beeferman. Say what? why users choose to speak their web queries. In phProc. of INTERSPEECH 2010.  M. Kamvar and D. Beeferman. Say what? why users choose to speak their web queries. In phProc. of INTERSPEECH 2010.","DOI":"10.21437\/Interspeech.2010-558"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10791-012-9216-x"},{"key":"e_1_3_2_1_17_1","volume-title":"ICDM Workshops","author":"Kiseleva J.","year":"2013"},{"key":"e_1_3_2_1_18_1","unstructured":"J. Krumm J. Teevan A. Karlson and A. Brush. Trajectory-aware mobile search. In phProc. of CHI 2012.  J. Krumm J. Teevan A. Karlson and A. Brush. Trajectory-aware mobile search. In phProc. of CHI 2012."},{"key":"e_1_3_2_1_19_1","unstructured":"D. Lee. Facebook M: The call centre of the future. http:\/\/www.bbc.com\/news\/technology-34070539 2015. Accessed: 2016-08-03.  D. Lee. Facebook M: The call centre of the future. http:\/\/www.bbc.com\/news\/technology-34070539 2015. Accessed: 2016-08-03."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/2036264.2036281"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"crossref","unstructured":"D. J. Liebling P. N. Bennett and R. W. White. Anticipatory search: using context to initiate search. In phProc. of SIGIR 2012.  D. J. Liebling P. N. Bennett and R. W. White. Anticipatory search: using context to initiate search. In phProc. of SIGIR 2012.","DOI":"10.1145\/2348283.2348456"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"crossref","unstructured":"X. Liu Y. Liu K. Aberer and C. Miao. Personalized point-of-interest recommendation by mining users' preference transition. In phProc. of CIKM 2013.  X. Liu Y. Liu K. Aberer and C. Miao. Personalized point-of-interest recommendation by mining users' preference transition. In phProc. of CIKM 2013.","DOI":"10.1145\/2505515.2505639"},{"key":"e_1_3_2_1_23_1","unstructured":"Microsoft. Microsoft Cortana. https:\/\/www.microsoft.com\/en\/mobile\/experiences\/cortana\/ 2016. Accessed: 2016-08-03.  Microsoft. Microsoft Cortana. https:\/\/www.microsoft.com\/en\/mobile\/experiences\/cortana\/ 2016. Accessed: 2016-08-03."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/176789.176798"},{"key":"e_1_3_2_1_25_1","unstructured":"K. Myers P. Berry J. Blythe K. Conley M. Gervasio D. L. McGuinness D. Morley A. Pfeffer M. Pollack and M. Tambe. An intelligent personal assistant for task and time management. phAI Magazine 28 (2): 47 2007.  K. Myers P. Berry J. Blythe K. Conley M. Gervasio D. L. McGuinness D. Morley A. Pfeffer M. Pollack and M. Tambe. An intelligent personal assistant for task and time management. phAI Magazine 28 (2): 47 2007."},{"key":"e_1_3_2_1_26_1","unstructured":"A. Noulas S. Scellato C. Mascolo and M. Pontil. An empirical study of geographic user activity patterns in foursquare. In phProc. of ICWSM 2011.  A. Noulas S. Scellato C. Mascolo and M. Pontil. An empirical study of geographic user activity patterns in foursquare. In phProc. of ICWSM 2011."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"crossref","unstructured":"K. Partridge and B. Price. Enhancing mobile recommender systems with activity inference. In phProc. of UMAP 2009.  K. Partridge and B. Price. Enhancing mobile recommender systems with activity inference. In phProc. of UMAP 2009.","DOI":"10.1007\/978-3-642-02247-0_29"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12539-013-0174-9"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"crossref","unstructured":"B. J. Rhodes and P. Maes. Just-in-time information retrieval agents. phIBM Systems Journal 39: 685--704 2000.  B. J. Rhodes and P. Maes. Just-in-time information retrieval agents. phIBM Systems Journal 39: 685--704 2000.","DOI":"10.1147\/sj.393.0685"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"crossref","unstructured":"J. Sang T. Mei and C. Xu. Activity sensor: Check-in usage mining for local recommendation. phACM Transactions on Intelligent Systems and Technology (TIST) 6 (3): 41 2015.  J. Sang T. Mei and C. Xu. Activity sensor: Check-in usage mining for local recommendation. phACM Transactions on Intelligent Systems and Technology (TIST) 6 (3): 41 2015.","DOI":"10.1145\/2700468"},{"key":"e_1_3_2_1_31_1","volume-title":"phProc. of SIGIR","author":"Shokouhi M.","year":"2013"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"crossref","unstructured":"M. Shokouhi and Q. Guo. From queries to cards: Re-ranking proactive card recommendations based on reactive search history. In phProc. of SIGIR 2015.  M. Shokouhi and Q. Guo. From queries to cards: Re-ranking proactive card recommendations based on reactive search history. In phProc. of SIGIR 2015.","DOI":"10.1145\/2766462.2767705"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1561\/1500000010"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"crossref","unstructured":"T. Sohn K. A. Li W. G. Griswold and J. D. Hollan. A diary study of mobile information needs. In phProc. of CHI 2008.  T. Sohn K. A. Li W. G. Griswold and J. D. Hollan. A diary study of mobile information needs. In phProc. of CHI 2008.","DOI":"10.1145\/1357054.1357125"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"crossref","unstructured":"Y. Song and Q. Guo. Query-less: Predicting task repetition for nextgen proactive search and recommendation engines. In phProc. of WWW 2016.  Y. Song and Q. Guo. Query-less: Predicting task repetition for nextgen proactive search and recommendation engines. In phProc. of WWW 2016.","DOI":"10.1145\/2872427.2883020"},{"key":"e_1_3_2_1_36_1","unstructured":"N. Statt. More than half of all google searches now happen on mobile devices. http:\/\/bit.ly\/google-mobile-searches 2015. Accessed: 2016-08-03.  N. Statt. More than half of all google searches now happen on mobile devices. http:\/\/bit.ly\/google-mobile-searches 2015. Accessed: 2016-08-03."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"crossref","unstructured":"Y. Sun X. Li L. Li Q. Liu E. Chen and H. Ma. Mining user's location intention from mobile search log. In phProc. of KSEM 2015.  Y. Sun X. Li L. Li Q. Liu E. Chen and H. Ma. Mining user's location intention from mobile search log. In phProc. of KSEM 2015.","DOI":"10.1007\/978-3-319-25159-2_37"},{"key":"e_1_3_2_1_38_1","unstructured":"M. Swider. Google IO by the numbers: every stat mentioned at the event. http:\/\/bit.ly\/google-io-stats 2016. Accessed: 2016-08-03.  M. Swider. Google IO by the numbers: every stat mentioned at the event. http:\/\/bit.ly\/google-io-stats 2016. Accessed: 2016-08-03."},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781139525305"},{"issue":"1","key":"e_1_3_2_1_40_1","first-page":"129","article-title":"Modeling user activity preference by leveraging user spatial temporal characteristics in LBSNs. phIEEE Trans. on Systems, Man, and Cybernetics","volume":"45","author":"Yang D.","year":"2015","journal-title":"Systems"},{"issue":"3","key":"e_1_3_2_1_41_1","first-page":"1","article-title":"Participatory cultural mapping based on collective behavior data in location-based social networks. phACM Trans","volume":"7","author":"Zhang D.","year":"2016","journal-title":"Intell. Syst. Technol."},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"crossref","unstructured":"L. Yang Q. Guo Y. Song S. Meng M. Shokouhi K. McDonald and W. B. Croft. Modeling user interests for zero-query ranking. In phProc. of ECIR 2016\\natexlabb.  L. Yang Q. Guo Y. Song S. Meng M. Shokouhi K. McDonald and W. B. Croft. Modeling user interests for zero-query ranking. In phProc. of ECIR 2016\\natexlabb.","DOI":"10.1007\/978-3-319-30671-1_13"},{"key":"e_1_3_2_1_43_1","volume-title":"Overview of the TREC 2015 tasks track. In phProc. of TREC","author":"Yilmaz E.","year":"2015"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"crossref","unstructured":"Q. Yuan G. Cong Z. Ma A. Sun and N. Magnenat-Thalmann. Time-aware point-of-interest recommendation. In phSIGIR 2013.  Q. Yuan G. Cong Z. Ma A. Sun and N. Magnenat-Thalmann. Time-aware point-of-interest recommendation. In phSIGIR 2013.","DOI":"10.1145\/2484028.2484030"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"crossref","unstructured":"J.-D. Zhang and C.-Y. Chow. igslr: personalized geo-social location recommendation: a kernel density estimation approach. In phProc. of GIS 2013.  J.-D. Zhang and C.-Y. Chow. igslr: personalized geo-social location recommendation: a kernel density estimation approach. In phProc. of GIS 2013.","DOI":"10.1145\/2525314.2525339"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"crossref","unstructured":"J.-D. Zhang and C.-Y. Chow. GeoSoCa: Exploiting geographical social and categorical correlations for point-of-interest recommendations. In phProc. of SIGIR 2015.  J.-D. Zhang and C.-Y. Chow. GeoSoCa: Exploiting geographical social and categorical correlations for point-of-interest recommendations. In phProc. of SIGIR 2015.","DOI":"10.1145\/2766462.2767711"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"crossref","unstructured":"J.-D. Zhang C.-Y. Chow and Y. Li. LORE: exploiting sequential influence for location recommendations. In phProc. of SIGSPATIAL 2014.  J.-D. Zhang C.-Y. Chow and Y. Li. LORE: exploiting sequential influence for location recommendations. In phProc. of SIGSPATIAL 2014.","DOI":"10.1145\/2666310.2666400"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"crossref","unstructured":"W. Zhang and J. Wang. Location and time aware social collaborative retrieval for new successive point-of-interest recommendation. In phProc. of CIKM 2015.  W. Zhang and J. Wang. Location and time aware social collaborative retrieval for new successive point-of-interest recommendation. In phProc. of CIKM 2015.","DOI":"10.1145\/2806416.2806564"}],"event":{"name":"WSDM 2017: Tenth ACM International Conference on Web Search and Data Mining","location":"Cambridge United Kingdom","acronym":"WSDM 2017","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the Tenth ACM International Conference on Web Search and Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3018661.3018679","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3018661.3018679","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:23:59Z","timestamp":1750220639000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3018661.3018679"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,2,2]]},"references-count":48,"alternative-id":["10.1145\/3018661.3018679","10.1145\/3018661"],"URL":"https:\/\/doi.org\/10.1145\/3018661.3018679","relation":{},"subject":[],"published":{"date-parts":[[2017,2,2]]},"assertion":[{"value":"2017-02-02","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}