000 | 01275nam a22002897a 4500 | ||
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001 | 21208807 | ||
003 | IIITD | ||
005 | 20240608020003.0 | ||
008 | 190917s2020 maua b 001 0 eng | ||
010 | _a 2019042167 | ||
020 | _a9780262539074 | ||
040 |
_aDLC _beng _cDLC _erda _dDLC _dIIITD |
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042 | _apcc | ||
050 | 0 | 0 |
_aZA3084 _b.S37 2020 |
082 | 0 | 0 |
_a600 _223 _bSCH-R |
100 | 1 | _aSchrage, Michael | |
245 | 1 | 0 |
_aRecommendation engines _cby Michael Schrage. |
260 |
_aLondon : _bMIT Press, _c©2020 |
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300 |
_axx, 275 p. : _bill. ; _c18 cm. |
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490 | 0 | _aThe MIT Press essential knowledge series | |
504 | _aIncludes bibliographical references and index. | ||
505 |
_t1 What recommenders are/why recommenders matter _t2 On the origins of recommendation _t3 A brief history of recommendation engines _t4 How recommenders work _t5 Experiencing recommendations _t6 Recommendation innovators _t7 The recommender future |
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650 | 0 | _aRecommender systems (Information filtering) | |
906 |
_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg |
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942 |
_2ddc _cBK _01 |
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999 |
_c171767 _d171767 |