000			03071nam a22004335i 4500
001			86830
003			ES-MaUEC
005			20230207040616.0
007			cr nn 008mamaa
008			160519s2016 si | s |||| 0|eng d
020			_a9789811007484
040			_aES-MaUEC
050		4	_aQA76.9.I58 _bY564 2016 EB
082	0	4	_a006.312
090			_aQA76.9.I58 _bY564 2016
100	1		_aYin, Hongzhi. _9100855 _0Local
245	1	0	_aSpatio-Temporal Recommendation in Social Media _cby Hongzhi Yin, Bin Cui
260			_aSingapore _bSpringer _c2016
300			_a1 recurso en línea (XIII, 114 p.) 26 il., 22 il. col.
336			_aTexto (visual) _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
338			_aonline resource _bcr _2rdacarrier
490	1		_aSpringerBriefs in Computer Science _x2191-5768
505	0		_a1. Introduction -- 2. Temporal Context-Aware Recommendation -- 3. Spatial Context-Aware Recommendation -- 4. Location-based and Real-time Recommendation -- 5. Fast Online Recommendation. .
520			_aThis book covers the major fundamentals of and the latest research on next-generation spatio-temporal recommendation systems in social media. It begins by describing the emerging characteristics of social media in the era of mobile internet, and explores the limitations to be found in current recommender techniques. The book subsequently presents a series of latent-class user models to simulate users� behaviors in decision-making processes, which effectively overcome the challenges arising from temporal dynamics of users� behaviors, user interest drift over geographical regions, data sparsity and cold start. Based on these well designed user models, the book develops effective multi-dimensional index structures such as Metric-Tree, and proposes efficient top-k retrieval algorithms to accelerate the process of online recommendation and support real-time recommendation. In addition, it offers methodologies and techniques for evaluating both the effectiveness and efficiency of spatio-temporal recommendation systems in social media. The book will appeal to a broad readership, from researchers and developers to undergraduate and graduate students.
942			_2lcc _cLE
988	0	0	_aEBOOK, EBSPRINGER
650	0	7	_aSistemas de gestión de bases de datos _0LocalX _2embne _9150569
650	0	7	_aInformática _0LocalX _2embne _9139268
650	0	7	_aData mining _0LocalX _2embne _9162648
700	1		_aCui, Bin _0Local _9100856
830		0	_aSpringerBriefs in Computer Science _x2191-5768 _9134081
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-981-10-0748-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9789811007484
907			_a.b12961085 _b10-10-17 _c21-11-16
998			_am _a_alco _a_vill _b - - _cm _dz _e- _feng _gsi _h0
945			_aQA76.9.I58 Y564 2016 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11616532 _z30-06-17
999			_c86830 _d86830 _x1