{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:4C4KLHK5QLVJ3QA4V73JIIOFKS","short_pith_number":"pith:4C4KLHK5","schema_version":"1.0","canonical_sha256":"e0b8a59d5d82ea9dc01caff69421c554a13ce26b0921ee8082740dd053e537bf","source":{"kind":"arxiv","id":"1808.04603","version":1},"attestation_state":"computed","paper":{"title":"AFEL-REC: A Recommender System for Providing Learning Resource Recommendations in Social Learning Environments","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Dieter Theiler, Dominik Kowald, Elisabeth Lex, Emanuel Lacic","submitted_at":"2018-08-14T10:00:30Z","abstract_excerpt":"In this paper, we present preliminary results of AFEL-REC, a recommender system for social learning environments. AFEL-REC is build upon a scalable software architecture to provide recommendations of learning resources in near real-time. Furthermore, AFEL-REC can cope with any kind of data that is present in social learning environments such as resource metadata, user interactions or social tags. We provide a preliminary evaluation of three recommendation use cases implemented in AFEL-REC and we find that utilizing social data in form of tags is helpful for not only improving recommendation ac"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1808.04603","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2018-08-14T10:00:30Z","cross_cats_sorted":[],"title_canon_sha256":"3738e03019a08f543f82ae1a41f971ddb4319fe9dc08602023f46b17392d643b","abstract_canon_sha256":"cf284e132e82ae46702c28a60f5b59b0b78de18d765e93ee16f252be2f39262d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:08:12.079010Z","signature_b64":"hPOdYavP8rg3U+tqOFoa5plp9hBHJIqvkR6P4zQNZtxtNTxWDTeXjUcRTIfsyf4Hc99Uj5yDaZeRxtBLHuCiAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e0b8a59d5d82ea9dc01caff69421c554a13ce26b0921ee8082740dd053e537bf","last_reissued_at":"2026-05-18T00:08:12.078632Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:08:12.078632Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"AFEL-REC: A Recommender System for Providing Learning Resource Recommendations in Social Learning Environments","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Dieter Theiler, Dominik Kowald, Elisabeth Lex, Emanuel Lacic","submitted_at":"2018-08-14T10:00:30Z","abstract_excerpt":"In this paper, we present preliminary results of AFEL-REC, a recommender system for social learning environments. AFEL-REC is build upon a scalable software architecture to provide recommendations of learning resources in near real-time. Furthermore, AFEL-REC can cope with any kind of data that is present in social learning environments such as resource metadata, user interactions or social tags. We provide a preliminary evaluation of three recommendation use cases implemented in AFEL-REC and we find that utilizing social data in form of tags is helpful for not only improving recommendation ac"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.04603","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1808.04603","created_at":"2026-05-18T00:08:12.078691+00:00"},{"alias_kind":"arxiv_version","alias_value":"1808.04603v1","created_at":"2026-05-18T00:08:12.078691+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.04603","created_at":"2026-05-18T00:08:12.078691+00:00"},{"alias_kind":"pith_short_12","alias_value":"4C4KLHK5QLVJ","created_at":"2026-05-18T12:32:05.422762+00:00"},{"alias_kind":"pith_short_16","alias_value":"4C4KLHK5QLVJ3QA4","created_at":"2026-05-18T12:32:05.422762+00:00"},{"alias_kind":"pith_short_8","alias_value":"4C4KLHK5","created_at":"2026-05-18T12:32:05.422762+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/4C4KLHK5QLVJ3QA4V73JIIOFKS","json":"https://pith.science/pith/4C4KLHK5QLVJ3QA4V73JIIOFKS.json","graph_json":"https://pith.science/api/pith-number/4C4KLHK5QLVJ3QA4V73JIIOFKS/graph.json","events_json":"https://pith.science/api/pith-number/4C4KLHK5QLVJ3QA4V73JIIOFKS/events.json","paper":"https://pith.science/paper/4C4KLHK5"},"agent_actions":{"view_html":"https://pith.science/pith/4C4KLHK5QLVJ3QA4V73JIIOFKS","download_json":"https://pith.science/pith/4C4KLHK5QLVJ3QA4V73JIIOFKS.json","view_paper":"https://pith.science/paper/4C4KLHK5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1808.04603&json=true","fetch_graph":"https://pith.science/api/pith-number/4C4KLHK5QLVJ3QA4V73JIIOFKS/graph.json","fetch_events":"https://pith.science/api/pith-number/4C4KLHK5QLVJ3QA4V73JIIOFKS/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4C4KLHK5QLVJ3QA4V73JIIOFKS/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4C4KLHK5QLVJ3QA4V73JIIOFKS/action/storage_attestation","attest_author":"https://pith.science/pith/4C4KLHK5QLVJ3QA4V73JIIOFKS/action/author_attestation","sign_citation":"https://pith.science/pith/4C4KLHK5QLVJ3QA4V73JIIOFKS/action/citation_signature","submit_replication":"https://pith.science/pith/4C4KLHK5QLVJ3QA4V73JIIOFKS/action/replication_record"}},"created_at":"2026-05-18T00:08:12.078691+00:00","updated_at":"2026-05-18T00:08:12.078691+00:00"}