Instructors | Telephone | Office hours | Studio |
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(teaching assistant) |
06-49918356 | send e-mail | Via Salaria 113 - 3° floor n. 3412 |
When | Where |
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Monday | 14.00-16.00 | aula alfa via Salaria 113 (Lab will be held in Colossus labs- via salaria 113 - Since 2nd week of March) |
Wednesday | 10.00-13.00 | aula alfa via Salaria 113 |
Please Subscribe to Web and Social 2020 Group |
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Web and Social 2020 on Google Groups |
Last Update | Topic | PPT | ZIP/PDF | Details | Suggested readings |
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2020 | Introduction |
1.WS1.introAB.pptx (part 2) 1.WS1.introB.pptx (part 3) |
1.WS1.introA.pptx.zip (part 1) | Introduction, architecture of IR systems, text processing, indexing | A survey on Indexing Techniques for Big Data: Taxonomy and Performance Evaluation (2015) https://www.researchgate.net/publication/273082158_A_survey_on_Indexing_Techniques_for_Big_Data_Taxonomy_and_Performance_Evaluation The case for learned index structures (April 30th, 2018) https://arxiv.org/pdf/1712.01208.pdf |
2020 | Basic Ranking Models | pptx | Basic ranking models: Boolean, Vector Space | https://nlp.stanford.edu/IR-book/pdf/01bool.pdf | |
2020 | Query Expansion | ppt | Improving basic IR models |
Query_Expansion_Techniques_for_Information_Retriev_1.pdf QueryExpansionTechniquesSurvey.pdf | |
2020 | Eigenvectors, eigenvalues and SVD decomposition Retrieval with Latent Semantic Indexing & Word Embeddings | 5b.Embeddings.pptx |
5.LSI.pptx.zip 5.LSI.pdf.zip 5b.Embeddings.pdf | Alternative Ranking Models based on word similarities | https://cs224d.stanford.edu/lecture_notes/notes1.pdf BERT: https://arxiv.org/pdf/1810.04805.pdf (video lessons available on drive for Google Group) |
2020 | Evaluation | 3.EvaluationIR.pptx |
Performance measures and benchmarking of IR systems | https://papers.nips.cc/paper/5867-precision-recall-gain-curves-pr-analysis-done-right.pdf see also: https://trec.nist.gov/ for TREC evaluation challenges (video lessons available on drive for Google Group) | |
2020 | Web Search | 6.WebSearch-compressed.pdf | Web IR: crawling, scraping, searching on the Web; Categorization of web pages | (video lessons available on drive for Google Group) WEB_SITE_CLASSIFICATION_FEATURES_AND_ALG.pdf (survey on feature selection for web page classification) information-10-00150.pdf (survey on machine learning for document classification ) | |
2020 | Link Analysis | 7.link_analysis.pptx | 7.link_analysis-compressed.pdf | Hyperlink-based Ranking (HITS and Page Rank) | https://pdfs.semanticscholar.org/43b6/d922bcfcc8f8fcd3e7d22c8dc732653d9571.pdf (video lessons available on drive for Google Group) |
2020 | Social Media Analytics A1 |
9a.SocialMediaAnalyticsA1.pdf 9a.SocialMediaAnalyticsA1.zip | Social Network Analysis PART A1: node-centric measures of influence |
https://arxiv.org/pdf/1907.11229.pdf (a survey on trending topic detection from social networks ) https://www.researchgate.net/publication/277689549_Efficient_temporal_mining_of_micro-blog_texts_and_its_application_to_event_discovery (SAX*) (video lessons available on drive for Google Group) | |
2020 | Social Media Analytics A2 | 9b.SocialMediaAnalyticsA2.pptx | 9b.SocialMediaAnalyticsA2.pdf | Social Network Analysis PART A2: graph-based measures | Surveytopknodesinsocialnetworks.pdf (video lessons available on drive for Google Group) |
2020 | Social Media Analytics B | 10.SocialMediaAnalytics_community_detectionB.pptx.zip | 10.SocialMediaAnalytics_community_detectionB.pdf | Social Network Analysis PART B: community detection | https://arxiv.org/ftp/arxiv/papers/1708/1708.00977.pdf https://hal.archives-ouvertes.fr/file/index/docid/804234/filename/Survey-on-Social-Community-Detection-V2.pdf (video lessons available on drive for Google Group) |
2020 | Social Media Analytics C | 11.Maximizing-the-Spread-of-Influence.pptx | 11.Maximizing-the-Spread-of-Influence.pdf | Spread of Influence in Social Networks | Chapter 2 of https://wiki.eecs.yorku.ca/course_archive/2014-15/F/4412/_media/social_networks.pdf (video lessons available on drive for Google Group) |
2020 | Opinion Mining | 13.OpinionMining.pdf | Searching for opinions on the Web | https://link.springer.com/content/pdf/10.1007/s10462-017-9599-6.pdf | |
2020 | Recommender Systems | 12.RecommenderSystems.pptx | 12.RecommenderSystems.pdf | Collaborative filtering, Content-based recommenders, Semantic recommenders |
http://shuaizhang.tech/2017/07/28/Summary-of-Recommender-System-Surveys-in-recent-years/ (a portal)
https://ieeexplore.ieee.org/document/8506344 ("A Survey of Collaborative Filtering-Based Recommender Systems: From Traditional Methods to Hybrid Methods Based on Social Networks" 2018) (video lessons available on drive for Google Group) |
LABs | NOTE: UDATED LAB MATERIAL, INCLUDING VIDEOs IS SHARED THROUGH THE GOOGLE GROUP | Lucene, Crawlers, Scrapers, Social Media, Temporal series | (video labs available on drive for Google Group members) | ||
Lab: Graph-G Library | Graph Libraries |
I | Attachment | History | Action | Size | Date | Who | Comment |
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zip | 5.LSI.pdf.zip | r1 | manage | 8811.4 K | 2020-03-13 - 15:49 | PaolaVelardi | |
zip | 5.LSI.pptx.zip | r1 | manage | 7130.3 K | 2020-03-13 - 15:49 | PaolaVelardi | |
7.link_analysis-compressed.pdf | r1 | manage | 1504.4 K | 2020-03-31 - 10:42 | PaolaVelardi | ||
pptx | 7.link_analysis.pptx | r5 r4 r3 r2 r1 | manage | 7732.8 K | 2020-03-31 - 10:42 | PaolaVelardi |
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