Seznam.cz Fulltext Architecture
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1 April 4, 2018
2 Seznam.cz, history of a web search Directory 1996, pages organized in a link directory Fulltext Kompas , outsourcing (Empyreum, Google, Jyxo) in-house, since 2005 (non-czech web search since 2012)
3 Daily average web search stats Users 2.5 mil. Queries 14 mil. Queries by humans 8 mil.
4 Web search
5 Web Search Overview Downloader/Spider/Crawler/Robot Indexer Query Processor Sorter: Query-Document Relevance
6 Downloader/Spider/Crawler/Robot Technologies
7 Exploration vs Exploitation
8 Exploration vs Exploitation Prioritize links to be visited Download/Parse/Index useful pages only
9 Problems Websites Redirects HTTP 3XX, cycles Errors re-visit again? Duplicities url parameters Spider traps Dynamic pages: Dynamic domains: aaa.e.com,bbb.e.com,ccc.e.com,...
10 Seznam.cz Crawler Stats Number of urls: Known 41G Downloaded 2.4G Parsed (text) 2.1G Indexed (text) 1.1G Indexed (img) 0.7G Indexed (video) 0.2G Error 2.1G Redirect 0.46G Stats from
11 Seznam.cz crawler stats (cont.) Top level domains, url stats all.com.cz.muni.cz Known 41G 21G 10G 14M Downloaded 2.4G 1.0G 0.9G 1.4M Parsed 2.1G 0.9G 0.5G 1.3M Indexed (text) 1.1G 0.4G 0.6G 0.8M
12 Seznam.cz Crawler, Languages Language Number of documents Czech 1 044M English 987M Slovak 90M German 43M Other 266M Total 2 430M
13 Seznam.cz crawler, exploration vs exploitation Content predictions Primary language Images is the content type an image? Video does the page contain a video? Porn Spam
14 Indexer
15 Indexer Overview Tokenization simple complex Inverted index Token Document Postings token positions within a document
16 Tokenization Simple Whitespaces Punctuation Non-alphanumeric characters Complex , phone number, date, address, url,...
17 Index compression Delta compression sorted lists Original: 1466, 1467, 1469, 1470,... Compressed 1466,1,2,1,... Original: A,B,C,D,... Compressed: A,(B A),(C B),(D C),... postings, document identifiers Space compression (numbers) small numbers small number of bits
18 Seznam.cz indexer hardware Finder, Title server 211 machines 64G RAM, 12 CPU cores (24 with hyperthreading), 300G HDD why so small capacity? two datacenters (Kokura Seznam, Nagano O2)
19 Query Reformulation
20 Query Reformulation Expand user query to find more relevant results.
21 Seznam.cz search graph jak upevnit policku polí ku 1.0 policku 1.0 postup jak 1.0 upevnit metoda zp sob 1.0 návod 0.59 upevn ní
22 Query Language Detection فيينا V
23 Acronym Expansion 1.0 linux nfs linux nfs network 1.0 le 1.0 system nfs hra need 1.0 nfs hra for 1.0 speed
24 Query Reformulation Diacritics reconstruction Stopwords Entities identification Other terms related to the query Porn detection
25 Query-Document Relevance Machine learning Learning to rank Boosted Random Forest Oblivious Decision Trees Features Off-page PageRank, popularity, backlinks,... Text relevance scoring Tf-idf,...
26 Query-Document Relevance (cont.) Evaluation Manual annotations, discounted cumulative gain A/B testing
27 User Interface
28 Image/Video Search Image Search History: outsourcing, picsearch in-house since October 2015 Video Search History: outsourcing, Yandex in-house since October 2015
29 Image/Video Search Text Based Search Anchors Titles (page, image, video) Image content analysis (ResNet50 + Czech word2vec)
30 Image Classification Technologies Transfer learning Caffe, ResNet50, InceptionV3,... Keras, TensorFlow Applications Car classification for Sauto.cz Photo analysis for Sreality.cz Porn classification
31 Sauto.cz, Photo Analysis vs Better look & feel Classification (22 categories): exterior front left, exterior wheels, interior dashboard,...
32 Recap Downloader/Spider/Crawler/Robot Indexer Query processor Sorter: Query-Document relevance Image/Video search
33 Conclusion Meet Me Machine Learning Meetups (Brno, Praha), DataPivo Brno, Seznam Research, Contact
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