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magistraleinformatica:ir:ir21:start [25/11/2021 alle 13:44 (2 anni fa)] Paolo Ferragina [Lectures] |
magistraleinformatica:ir:ir21:start [26/11/2021 alle 13:35 (2 anni fa)] Paolo Ferragina |
| 16.11.2021 | Posting list compression, codes: gamma, variable bytes (t-nibble), PForDelta, Elias-Fano indexing. Text-based ranking: dice, jaccard, tf-idf. Vector space model and cosine similarity doc-doc and query-doc. | Sect. 5.3 of [MRS] and {{:magistraleinformaticanetworking/ae/ae2014/chap_9.pdf|Ferragina's notes}} (only the coders presented in class).\\ {{ :magistraleinformatica:ir:ir21:lect_11_-_compression_integers_new_.ppt |Slides}} and [[https://unipiit.sharepoint.com/sites/a__td_50472/Shared%20Documents/General/Recordings/Lezione%20del%202021_11_16-20211116_092024-Meeting%20Recording.mp4?web=1|Video]]. | | | 16.11.2021 | Posting list compression, codes: gamma, variable bytes (t-nibble), PForDelta, Elias-Fano indexing. Text-based ranking: dice, jaccard, tf-idf. Vector space model and cosine similarity doc-doc and query-doc. | Sect. 5.3 of [MRS] and {{:magistraleinformaticanetworking/ae/ae2014/chap_9.pdf|Ferragina's notes}} (only the coders presented in class).\\ {{ :magistraleinformatica:ir:ir21:lect_11_-_compression_integers_new_.ppt |Slides}} and [[https://unipiit.sharepoint.com/sites/a__td_50472/Shared%20Documents/General/Recordings/Lezione%20del%202021_11_16-20211116_092024-Meeting%20Recording.mp4?web=1|Video]]. | |
| 22.11.2021 | Storage of tf-idf and use for computing document-query similarity. Fast top-k retrieval: high idf, champion lists, many query-terms, fancy hits, clustering. | Sect 6.2 and 6.3 and 7 from [MRS].\\ [[https://www.dropbox.com/s/iyrlc81wuzbtewu/lect%2012-text%20ranking.ppt?dl=0|Slides]] | | | 22.11.2021 | Storage of tf-idf and use for computing document-query similarity. Fast top-k retrieval: high idf, champion lists, many query-terms, fancy hits, clustering. | Sect 6.2 and 6.3 and 7 from [MRS].\\ [[https://www.dropbox.com/s/iyrlc81wuzbtewu/lect%2012-text%20ranking.ppt?dl=0|Slides]] | |
| 23.11.2021 | Exact Top-K: WAND and blocked-WAND. Relevance feedback, Rocchio, pseudo-relevance feedback, query expansion. Performance measures: precision, recall, F1 and user happiness. | Chap 8 and 9 [MRS].\\ [[https://unipiit.sharepoint.com/sites/a__td_50472/Shared%20Documents/General/Recordings/Lezione%20del%202021_11_23-20211123_090451-Meeting%20Recording.mp4|Video]] | | | 23.11.2021 | Exact Top-K: WAND and blocked-WAND. Relevance feedback, Rocchio, pseudo-relevance feedback, query expansion. Performance measures: precision, recall, F1 and user happiness. | Sect 8.1-8.3 and 9 [MRS].\\ [[https://unipiit.sharepoint.com/sites/a__td_50472/Shared%20Documents/General/Recordings/Lezione%20del%202021_11_23-20211123_090451-Meeting%20Recording.mp4|Video]] | |
| 29.11.2021 | Elastic Search, con laboratorio: Si chiede agli studenti di portare il laptop in aula avendo già installato innanzitutto [[https://docs.docker.com/get-docker/|Docker]] e poi l'immagine di [[https://www.elastic.co/guide/en/elasticsearch/reference/current/docker.html|elasticsearch]] tramite **docker pull** (primo step "Pulling the image"). | | | | 29.11.2021 | Elastic Search, with lab: Students are required to bring their own laptop in class, with already installed [[https://docs.docker.com/get-docker/|Docker]] and then the image of [[https://www.elastic.co/guide/en/elasticsearch/reference/current/docker.html|ElasticSearch]] via **docker pull** (i.e. first step of "Pulling the image"). | | |
| 30.11.2021 | Random Walks. Link-based ranking: pagerank, topic-based pagerank, personalized pagerank. | Chap 21 of [MRS]. Slides | | | 30.11.2021 | Random Walks. Link-based ranking: pagerank, topic-based pagerank, personalized pagerank. | Chap 21 of [MRS]. Slides | |
| 06.12.2021 | HITS. Projections to smaller spaces: Latent Semantic Indexing (LSI). | Chap 18 from [MRS].\\ Slides. | | | 06.12.2021 | HITS. Projections to smaller spaces: Latent Semantic Indexing (LSI). | Chap 18 from [MRS].\\ Slides. | |