The Resource Spatio-Temporal Recommendation in Social Media
Spatio-Temporal Recommendation in Social Media
- Language
- eng
- Extent
- 1 online resource (122 pages)
- Contents
-
- Preface -- Acknowledgments -- Contents -- 1 Introduction -- 1.1 Background -- 1.2 The Research Issues and Challenges -- 1.3 Overview of the Book -- 1.4 Literature and Research Review -- 1.4.1 Traditional Context-Aware Recommendation -- 1.4.2 Temporal Recommendation -- 1.4.3 Spatial Item Recommendation -- 1.4.4 Real-Time Recommendation -- 1.4.5 Online Recommendation Efficiency -- References -- 2 Temporal Context-Aware Recommendation -- 2.1 Introduction -- 2.2 User Rating Behavior Modeling -- 2.2.1 Notations and Definitions -- 2.2.2 Temporal Context-Aware Mixture Model -- 2.2.3 Model Inference -- 2.2.4 Discussion About TCAM -- 2.2.5 Item-Weighting for TCAM -- 2.3 Temporal Recommendation -- 2.4 Experiments -- 2.4.1 Datasets -- 2.4.2 Comparisons -- 2.4.3 Evaluation Methodology -- 2.4.4 Recommendation Effectiveness -- 2.4.5 Temporal Context Influence Study -- 2.4.6 User Profile Analysis -- 2.5 Summary -- References -- 3 Spatial Context-Aware Recommendation -- 3.1 Introduction -- 3.2 Location-Content-Aware Recommender System -- 3.2.1 Preliminary -- 3.2.2 Model Description -- 3.2.3 Model Inference -- 3.2.4 Online Recommendation -- 3.3 Experiments -- 3.3.1 Datasets -- 3.3.2 Comparative Approaches -- 3.3.3 Evaluation Methods -- 3.3.4 Recommendation Effectiveness -- 3.3.5 Local Preference Influence Study -- 3.3.6 Analysis of Latent Topic -- 3.4 Summary -- References -- 4 Location-Based and Real-Time Recommendation -- 4.1 Introduction -- 4.1.1 Joint Modeling of User Check-In Behaviors -- 4.1.2 Real-Time POI Recommendation -- 4.2 Joint Modeling of User Check-In Activities -- 4.2.1 Preliminary -- 4.2.2 Model Structure -- 4.2.3 Generative Process -- 4.2.4 Model Inference -- 4.3 Online Learning for TRM -- 4.3.1 Feasibility Analysis -- 4.3.2 Online Learning Algorithm -- 4.4 POI Recommendation Using TRM -- 4.4.1 Fast Top-k Recommendation Framework
- 4.4.2 Addressing Cold-Start Problem -- 4.5 Experiments -- 4.5.1 Datasets -- 4.5.2 Comparative Approaches -- 4.5.3 Evaluation Methods -- 4.5.4 Recommendation Effectiveness -- 4.5.5 Impact of Different Factors -- 4.5.6 Test for Cold-Start Problem -- 4.5.7 Model Training Efficiency -- 4.6 Summary -- References -- 5 Fast Online Recommendation -- 5.1 Introduction -- 5.1.1 Parallelization -- 5.1.2 Nearest-Neighbor Search -- 5.2 Metric Tree -- 5.2.1 Branch-and-Bound Algorithm -- 5.3 TA-Based Algorithm -- 5.3.1 Discussion -- 5.4 Attribute-Pruning Algorithm -- 5.5 Experiments -- 5.5.1 Experimental Results -- 5.6 Summary -- References
- Isbn
- 9789811007484
- Label
- Spatio-Temporal Recommendation in Social Media
- Title
- Spatio-Temporal Recommendation in Social Media
- Language
- eng
- Cataloging source
- MiAaPQ
- Literary form
- non fiction
- Nature of contents
- dictionaries
- Series statement
- SpringerBriefs in Computer Science Ser
- Label
- Spatio-Temporal Recommendation in Social Media
- Link
- http://libproxy.rpi.edu/login?url=https://ebookcentral.proquest.com/lib/rpi/detail.action?docID=4530200
- Carrier category
- online resource
- Carrier category code
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
- txt
- Content type MARC source
- rdacontent
- Contents
-
- Preface -- Acknowledgments -- Contents -- 1 Introduction -- 1.1 Background -- 1.2 The Research Issues and Challenges -- 1.3 Overview of the Book -- 1.4 Literature and Research Review -- 1.4.1 Traditional Context-Aware Recommendation -- 1.4.2 Temporal Recommendation -- 1.4.3 Spatial Item Recommendation -- 1.4.4 Real-Time Recommendation -- 1.4.5 Online Recommendation Efficiency -- References -- 2 Temporal Context-Aware Recommendation -- 2.1 Introduction -- 2.2 User Rating Behavior Modeling -- 2.2.1 Notations and Definitions -- 2.2.2 Temporal Context-Aware Mixture Model -- 2.2.3 Model Inference -- 2.2.4 Discussion About TCAM -- 2.2.5 Item-Weighting for TCAM -- 2.3 Temporal Recommendation -- 2.4 Experiments -- 2.4.1 Datasets -- 2.4.2 Comparisons -- 2.4.3 Evaluation Methodology -- 2.4.4 Recommendation Effectiveness -- 2.4.5 Temporal Context Influence Study -- 2.4.6 User Profile Analysis -- 2.5 Summary -- References -- 3 Spatial Context-Aware Recommendation -- 3.1 Introduction -- 3.2 Location-Content-Aware Recommender System -- 3.2.1 Preliminary -- 3.2.2 Model Description -- 3.2.3 Model Inference -- 3.2.4 Online Recommendation -- 3.3 Experiments -- 3.3.1 Datasets -- 3.3.2 Comparative Approaches -- 3.3.3 Evaluation Methods -- 3.3.4 Recommendation Effectiveness -- 3.3.5 Local Preference Influence Study -- 3.3.6 Analysis of Latent Topic -- 3.4 Summary -- References -- 4 Location-Based and Real-Time Recommendation -- 4.1 Introduction -- 4.1.1 Joint Modeling of User Check-In Behaviors -- 4.1.2 Real-Time POI Recommendation -- 4.2 Joint Modeling of User Check-In Activities -- 4.2.1 Preliminary -- 4.2.2 Model Structure -- 4.2.3 Generative Process -- 4.2.4 Model Inference -- 4.3 Online Learning for TRM -- 4.3.1 Feasibility Analysis -- 4.3.2 Online Learning Algorithm -- 4.4 POI Recommendation Using TRM -- 4.4.1 Fast Top-k Recommendation Framework
- 4.4.2 Addressing Cold-Start Problem -- 4.5 Experiments -- 4.5.1 Datasets -- 4.5.2 Comparative Approaches -- 4.5.3 Evaluation Methods -- 4.5.4 Recommendation Effectiveness -- 4.5.5 Impact of Different Factors -- 4.5.6 Test for Cold-Start Problem -- 4.5.7 Model Training Efficiency -- 4.6 Summary -- References -- 5 Fast Online Recommendation -- 5.1 Introduction -- 5.1.1 Parallelization -- 5.1.2 Nearest-Neighbor Search -- 5.2 Metric Tree -- 5.2.1 Branch-and-Bound Algorithm -- 5.3 TA-Based Algorithm -- 5.3.1 Discussion -- 5.4 Attribute-Pruning Algorithm -- 5.5 Experiments -- 5.5.1 Experimental Results -- 5.6 Summary -- References
- http://library.link/vocab/cover_art
- https://contentcafe2.btol.com/ContentCafe/Jacket.aspx?Return=1&Type=S&Value=9789811007484&userID=ebsco-test&password=ebsco-test
- Dimensions
- unknown
- http://library.link/vocab/discovery_link
- {'f': 'http://opac.lib.rpi.edu/record=b4385355'}
- Extent
- 1 online resource (122 pages)
- Form of item
- online
- Isbn
- 9789811007484
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
- c
- Sound
- unknown sound
- Specific material designation
- remote
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.lib.rpi.edu/portal/Spatio-Temporal-Recommendation-in-Social/Y13iy2AT1ss/" typeof="WorkExample http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.lib.rpi.edu/portal/Spatio-Temporal-Recommendation-in-Social/Y13iy2AT1ss/">Spatio-Temporal Recommendation in Social Media</a></span> - <span property="offers" typeOf="Offer"><span property="offeredBy" typeof="Library ll:Library" resource="http://link.lib.rpi.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.lib.rpi.edu/">Rensselaer Libraries</a></span></span></span></span></div>
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.lib.rpi.edu/portal/Spatio-Temporal-Recommendation-in-Social/Y13iy2AT1ss/" typeof="WorkExample http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.lib.rpi.edu/portal/Spatio-Temporal-Recommendation-in-Social/Y13iy2AT1ss/">Spatio-Temporal Recommendation in Social Media</a></span> - <span property="offers" typeOf="Offer"><span property="offeredBy" typeof="Library ll:Library" resource="http://link.lib.rpi.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.lib.rpi.edu/">Rensselaer Libraries</a></span></span></span></span></div>
