Page - 29 - in Access to Knowledge on the Web

Table of contents

1. 1. Introduction 1
2. 2. World Wide Web and Search Engines 5
3. 2.1. World Wide Web 5
4. 2.2. Crawling and Indexing 6
5. 2.3. PageRank – First Sophisticated Ranking Technology 8
6. 2.3.1. Example Calculation for PageRank 9
7. 2.3.2. Googlebombing 11
8. 3. Today’s Ranking Factors on Google 12
9. 3.1. List of Ranking Factors on Google 12
10. 3.2. RankBrain – Analysing Queries using Machine Learning
11. Technologies 16
12. 3.3. Personalisation 16
13. 4. Sehttps://austria-forum.org/web-books/api/file/accessknowledge00en2018isds/000005/print/jpg/0.125arch Engine Result Page (SERP) 18
14. 4.1. Structure 20
15. 4.2. Implications, Drawbacks and Suggested Improvements 35
16. 4.2.1. Ambiguous Search Terms 35
17. 4.2.2. Knowledge Graph 39
18. 4.2.3. People Also Ask (PAA) 47
19. 5. The Future: Search Assistance 48
20. 5.1. Main Idea of a Search Assistant 49
21. 5.2. Search Assistant Applied on a Small Domain 52
22. 5.2.1. Motivation for the Domain Chosen 53
23. 5.2.2. Example of a Conventional Search on Domain Chosen 53
24. 5.2.3. Search Assistance on Domain Chosen 55
25. 5.3. Discussion 58
26. 5.3.1. Improvements in Search 60
27. 5.3.2. Challenges and Problems 63
28. 6. Discussion of a First Version of a Search Assistant as Imple-
29. mented – Sistant 66
30. 6.1. SERP in Sistant 67
31. 6.2. Server Configuration in Sistant 73
32. 6.3. Summary 73
33. 7. Summary and Future Work 76
34. A. Implementation Details of Sistant 79
35. A.1. Libraries Used 79
36. A.2. JSON Files 80
37. A.2.1. File Handling 80
38. A.2.2. Regions.json 81
39. A.2.3. Interests.json 82
40. A.2.4. City Files 83
41. A.3. Fetching and Parsing of HTML 86
42. A.4. Supported Countries and Cities 87
43. A.5. Supported Sources per Category 88
44. Bibliography 89